Recognizing and Managing Depression in Primary Care A Standardized Patient Study

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Recognizing and Managing Depression in Primary Care A Standardized Patient Study

 

BACKGROUND: Guidelines for recognition and management of depression in primary care provide a framework for detailed exploration of physician practice patterns.

METHODS: Our objective was to explore physician diagnosis and management approaches to depressive disorders according to type (major vs minor) and presenting complaint (difficulty sleeping and concentrating vs headache). The participants were community primary care internists and family physicians in northern New England, Washington, and Alabama (N = 149) who were randomly assigned to receive a visit from an unannounced actor portraying a standardized patient in 1 of 2 depression scenarios: (A) insomnia and poor concentration meeting Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R) criteria for major depressive disorder; or (B) tension headaches meeting the criteria for minor depression.

RESULTS: All physicians who were assigned to the standardized patients presenting with scenario A recognized depression, and 49% (38 of 78) of those assigned to scenario B patients diagnosed depression. Of those recognizing depression, 72% and 42% queried patients about anhedonia and mood, respectively. For both scenarios, if fewer than 2 DSM-III-R criteria were explored, depression was not diagnosed. Management for scenario A was compatible with Agency for Health Care Policy and Research guidelines, including the prescription of an antidepressant (94%), scheduling of a follow-up visit within 2 weeks (61%), and exploration of suicidal ideation (69.4%). For scenario B, management included over-the-counter analgesics for the headache (84%), exercise (63%), prescription for an antidepressant (53%), recommendation for ongoing counseling (100%), and follow-up within 2 weeks (42%).

CONCLUSIONS: Major depression is recognized in primary care at a very high rate. Guidelines for recognizing and managing depression are often followed in primary care. Patients’ presentations of depression influence its recognition and management.

The prevalence of major depression in primary care patients ranges from 1% to 25%,1-3 with a 13% prevalence rate for subthreshold depression.4 Although more than 90% of primary care physicians report treating depression in their offices,5,6 estimates of depressed patients who are correctly identified and treated range from 5%7 to 60%,8-11 with higher rates of diagnosis associated with more severe depression.12 Research on the use of case-finding instruments13-15 to improve recognition has produced inconsistent results.16-18 Currently, the economic burden of mood disorders in the United States is $44 billion.19

Underdiagnosis and undertreatment of depression in primary care have been attributed to patients’ presentations, expectations, competing medical problems, and reimbursement issues, and clinicians’ knowledge, skills, practice characteristics, and time constraints.20-22 Guidelines for recognition and treatment of major depressive disorder have been provided by the Agency for Health Care Policy and Research (AHCPR),23 though the effectiveness of treatment for subthreshold depression is less certain. It is clear, however, that depressed patients suffer ongoing functional impairment comparable with that experienced with a chronic medical illness such as diabetes or congestive heart failure.24 By understanding typical practice patterns, areas of depression diagnosis and management could be identified and targeted for practice-enhancement strategies.

We explored physicians’ diagnostic and treatment approaches to patients with both straightforward and more subtle presentations meeting 2 levels of depression criteria: major depressive disorder and minor depression. Unannounced trained actors portraying standardized patients were used to control the variability in patient presentations and characteristics.

Methods

In 1997, 3 study centers (one each in northern New England; Seattle, Washington; and Tuscaloosa, Alabama, were selected to represent a range of primary care geographic settings. Physician recruitment involved initial peer contact followed by a letter, consent form, and fact sheet briefly describing the study. We informed participants they would be visited twice by a standardized patient at some point during a 1-year period to assess health service delivery and that the encounters would be recorded to evaluate standardized patient case replication and accuracy of physician performance. Physicians were blinded to the study topic of depression, the date of the visits, and the standardized patient’s age, sex, and clinical presentation. All study procedures were approved by the institutional review boards at the 3 study centers.

Study Participants

A sample of 149 primary care physicians serving adults from each of the 3 regions represented a specialty mix (family physicians and internists) and a sex mix. Physicians were excluded if they had been at the current practice location for less than 1 year, their panel composition was less than 50% adults, more than 50% of their clinical time was devoted to subspecialty care, their practice was based in a residency training site or was closed to new patients.

Design

Four months before the first standardized patient visits, participants were randomly assigned to 1 of 4 study groups defined by patient sex and case presentation. The standardized patients portrayed symptoms compatible with either major depressive disorder with chief complaints suggesting depression (scenario A) or minor depression with a more subtle chief complaint (scenario B). The standardized patients called each practice in the study and requested an initial visit to address their presenting complaint and to establish ongoing care, and they returned as recommended for a second visit.

 

 

Development of the Standardized Patient Scenarios

Primary care and psychiatric faculty from each study center collaborated to develop the initial case scripts. These presentations were chosen to address 2 ends of the spectrum of common presentations for depression in primary care: obvious mental health distress versus more subtle distress of a sufficient degree to be associated with dysfunction as demonstrated in other studies.24 The scenarios were evaluated for feasibility, credibility, and internal consistency and were refined during guided focus groups of community physicians held in each study center.25 No pilot test or focus group physicians were study participants.

The actors portrayed the roles of either a 45-year-old corporate loan officer or a 26-year-old data entry clerk (Table 1). In both cases, a recent move required initiation of contact with a new care provider. According to the scenarios, the patient’s insurance was in transition because of a new job, but this was not scripted to be a barrier to care in either case. Encounters were paid for in cash, with the standardized patients indicating they would submit their own insurance claims. Standardized patients assigned to scenario A volunteered sleep and concentration difficulties as their chief complaints. No other DSM criteria were volunteered. If depression was not mentioned as a possible diagnosis to the patient enacting scenario B by the end of the second visit, the prompt, “I’ve had a really tough year,” was delivered by the patient. We did this to increase recognition of depression, allowing us to obtain information on the management approaches taken by all participating physicians. At the second visit, patients enacting both scenarios reported their symptoms were 50% better regardless of the treatment suggested during the first visit.

None of the actors had a personal history of depression. The standardized patients refused an extensive medical work-up at the time of the visits, stating they would prefer to wait until their insurance status was resolved. The exception was urinalysis, if it was part of the physician’s routine orders.

Measures

An evaluation checklist with dichotomous (yes/no) responses was developed to allow standardized patients to assess how participating physicians pursued the presenting complaints and the 9 criteria for major depressive disorder listed in the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R). The checklist was pilot-tested in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. Audiotape recorders with high-fidelity microphones, concealed in briefcases or book bags, were used to record the physician-patient interactions. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At each center, trained nonphysician project staff reviewed 20% of all audiotaped encounters for accuracy and reproducibility. Mechanical failure occurred in 3% of encounters. Agreement between the standardized patient and the project staff ranged from 79% to 100% for recorded encounters. The low end of this range concerned queries about mood, where the standardized patients were more likely than trained staff to score a question such as “How have you generally been feeling?” as an assessment of mood. Thus, standardized patients were at risk for overestimating the proportion of physicians asking about mood. Checklist data scored by the standardized patients were used in these analyses, since they represented the most complete and consistent record of the encounters.

Standardized Patient Training

Twenty-five actors were recruited from local medical education programs at the 3 participating institutions. All standardized patients were within 120% of their ideal body weights, and their clothes were consistent with the cases being portrayed. Scenario development and standardized patient training were initially done at the northern New England site, and training videotapes and materials were disseminated to the other 2 study centers. During the first phase of training, 24-hour didactic training sessions were held for each case, to inform the actors about the detailed scenario and the skills necessary to enact it. At the end of each session, actors observed videotaped interactions of themselves and completed study checklists, which were then compared and discussed until consensus was achieved on scoring. During the second phase of training, each actor visited 3 nonparticipating clinicians. None of these pilot physicians had any specific knowledge of the study and were instructed to respond to the patient as they would to any patient making the same request. Immediately after each videotaped session, the actors completed an evaluation checklist. The videotapes were then scored by the trained project staff at each study center using the same checklist, and any discrepancies in scoring or replicating the scenario were discussed. Twenty-four of the 25 actors consistently replicated the scenario and accurately assessed the providers (greater than 95% agreement with the trained observer) and were allowed to begin study visits.

 

 

Standardized patients also recorded the amount of time spent with the physicians and the charges for the visit. Three weeks after the final study visit, physicians were informed that the standardized patient visits had occurred. They were asked to either describe or name the patient. If the patient was detected as being a standardized patient, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the performance of the physicians to a significant degree; therefore, all detected visits were included in the analysis. If physicians did not recommend follow-up, the standardized patients initiated a follow-up visit by calling the practice and noting that their symptoms, though improved somewhat, were still present. All physicians forwarded standardized patient medical records for abstraction and took part in a telephone debriefing during which we determined what alerted them to this diagnosis or why they did not recognize depression.

For classifying physicians as recognizing depression, the following indicators were used: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist.

Analysis

Descriptive statistics were used to characterize study participants and encounters. Comparisons between scenarios A and B for pursuit of presenting complaints, DSM-III-R criteria, other diagnostic criteria, and depression management were evaluated using the chi-squared or Fisher’s exact test when indicated. Time and charges were analyzed using t tests and Pearson’s product moment correlation coefficient. Analysis of data on scheduling follow-up between the first and second visits across cases was performed using 1-way analysis of variance (mixed model). All tests comparing performance across the scenarios were 2-tailed. An a level of 0.05 was considered statistically significant, except where more than one test was used on the same variable (eg, sleep and other criteria comparisons analyzed by scenario and to identify predictors of a diagnosis of depression in a pooled analysis). In these cases, the a levels were set at 0.025. Inter-observer reliability was determined using percent agreement.

Results

One hundred forty-nine internists and family physicians meeting eligibility requirements were visited by an unannounced standardized patient. Sixty-nine physicians participated in northern New England, 50 in Seattle, and 30 in Tuscaloosa, Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. The mean age of physician participants was 42.8 years (standard deviation [SD] = 7.7); 67.5% were male. Fifty-one percent were family physicians; the other 49% were internists. Ninety-two percent were board certified. The mean number of years at the current practice location was 9.4 (SD = 7.0), and the estimated mean number of adult patients seen per week was 90.5 (SD = 36.1). Participants reported that 80% of their time was devoted to primary care. A total of 288 visits were made by our standardized patients: 135 in northern New England, 93 in Seattle, and 60 in Tuscaloosa. Second visits for 10 of the participants could not be made within the study period.

Recognition of Depression

One hundred percent of physicians visited by scenario A patients diagnosed depression, 91% at the first visit. Depression was diagnosed without a specific prompt in 49% of scenario B patients (38 of 77). Twenty-six percent of the diagnoses occurred during the first visit and 23% during the second visit. An additional 30% of providers (23 of 77) diagnosed depression in scenario B after the prompt, “I’ve had a really tough year,” was delivered. In 3% (2 patients) of scenario B encounters, the standardized patients were unable to deliver the prompt, and in 18% (14 of 77) depression was not diagnosed according to our a priori criteria, even though the prompt was delivered.

Table 2 shows the use of DSM-III-R criteria by physicians according to patient presentation. Among patients given a diagnosis of a depressive disorder, including all 72 who presented with scenario A and the 61 of 77 who presented with scenario B, physicians made similar use of criteria. No differences were noted in recognizing depression by specialty (family physician or internal medicine), and no statistical differences were noted in the characteristics of physicians assigned to scenario A or scenario B.

When we clustered depression criteria as outlined in DSM-III-R 26 into physical/neurovegetative symptoms (sleep disturbance, weight changes, attention/concentration problems, fatigue, psychomotor disturbance) or psychiatric/psychosocial symptoms (depressed mood, anhedonia, guilt feelings, suicidal thoughts) and assessed inquiry about them for association with a diagnosis of depression, both sets of criteria were statistically significant at P <.001. The mean number of physical/neurovegetative symptoms asked about in diagnosing depression was 3.4; the mean number of psychiatric/psychosocial symptoms was 1.8. If fewer than 2 symptoms were asked about during the encounter, depression was not diagnosed.

 

 

Questioning about anhedonia exceeded questioning about depressed mood in both presentations but did not differ significantly between them. Debriefings of physicians assigned to scenario A who did not ask about mood indicated that depressed mood was so obvious that it did not require a direct question. Debriefings of physicians assigned to scenario B who did not ask about mood indicated that the presentation did not suggest to them that the patient had a depressed mood.

Table 3 outlines physicians’ exploration of other information relevant to depression. Exploration of work and home life was more likely to occur for patients enacting scenario A. For scenario B, the work situation was less often addressed. The patient’s social network was explored in both scenarios by approximately 40% of the physicians.

Table 4 shows the DSM criteria explored when depression was not diagnosed. Exploring weight gain and sleep pattern occurred in about half of the encounters, while most other criteria were explored by only a few physicians or not at all. We found that only 7% of scenario B patients who did not receive a diagnosis of depression were asked about their social network; more than 40% of patients given a diagnosis of depression in either scenario A or B, however, were asked about their social network (Table 2).

Management of Depression

Table 5 shows the management strategies used by physicians who diagnosed depression (n = 133). This includes all 72 assigned to scenario A and 61 of those assigned to scenario B.

Physicians visited by scenario A patients often followed AHCPR guidelines for the management of depression. They prescribed selective serotonin reuptake inhibitors (SSRIs) more often than counseling. Forty-four of the 72 patients were treated with both counseling and SSRIs by the end of the second visit. Patients acting out scenario A were more likely to receive education on the causes of depression, treatment options, and prognosis, and to be provided with written material about depression than those presenting with scenario B.

Patients enacting scenario B often received recommendations for over-the-counter (OTC) analgesic medications appropriate for treatment of headache and were told to exercise. The OTC medication recommendations were more likely to occur at the first visit (22 of 38, 58%), while recommendations for exercise were more likely at the second visit (23 of 39, 59%). When SSRIs were prescribed for the patient in scenario B, this occurred more often at the second visit (68%).

Referrals for ongoing mental health counseling were more likely to be made for patients enacting scenario B than scenario A. Follow-up was almost equally recommended for patients portraying either scenario, but the time interval for follow-up was significantly shorter for scenario A patients than for those of scenario B. Sixty percent of the physicians recommended follow-up within 2 weeks for patients portraying scenario A, and an additional 34% recommended follow-up to occur between 2 and 4 weeks after the first visit. After the second visit in scenario A, follow-up was recommended to occur within 2 weeks in 13% of encounters, between 2 to 4 weeks in 52%, and in 35% it was recommended to occur more than a month later. For patients portraying scenario B, follow-up was recommended within 2 weeks for 42% after the first visit, and an additional 45% recommended it occur between 2 and 4 weeks. Follow-up after the second visit was recommended to occur within 2 weeks for 21% of patients, with an additional 48% recommended between 2 and 4 weeks.

For patients enacting scenario B where depression was not diagnosed, 64% received a recommendation for an over-the-counter nonsteroidal anti-inflammatory, acetaminophen, or aspirin. Twenty-one percent received a prescription drug for migraine headache; 7% received a prescription for a muscle relaxant; 7% received a prescription for a b blocker; and 7% received a recommendation for exercise only.

Patients spent 12.2 to 24.5 minutes in the waiting room. No statistical differences were noted by region or by first versus second visits. Physicians spent 13.4 to 28.4 minutes with patients. Time spent with patients did not vary by region. Second visits were half as long as first visits (12.7 minutes vs 23.0, P = .001). For scenario A patients, the mean number of minutes spent with physicians was 19.4 (SD = 11.7), and it was 16.6 (SD = 9.3) for scenario B patients (P = .01). Charges for visits ranged from $43.75 to $70.30, with a mean of $56.44 (SD = $26.46). First visits were more expensive than second visits ($69.96 vs $43.19, P <.001), but did not differ by number of depressive symptoms ($59.17 for scenario A, $54.86 for scenario B; P = .10). Pearson’s correlation coefficient between time spent with the physician and charges was 0.399 (P <.01).

 

 

There was variability in how depression was discussed and documented in the medical record. In combined scenarios A and B for cases where depression was diagnosed, it was both discussed with the patient and recorded in the medical record in 77.2% of encounters. It was discussed with the patient but not noted in the medical record in an additional 6.7% of encounters and appeared in the medical record but with no patient discussion in 5.4% of encounters. In 10.7% of encounters, patients received a prescription for an antidepressant or a recommendation for ongoing counseling with a psychologist or social worker, though the word “depression” was not used with the patient or noted in the medical record.

No statistical differences were found by region in the proportion of patients given a diagnosis of depression. Differences found in diagnosis and management according to physician and patient sex have been reported elsewhere.27 Briefly, male physicians explored symptoms and discussed a diagnosis with women significantly more often than with men. Both male and female physicians recommended counseling more often for women portraying scenario B standardized patients than for men portraying the same type of patient.

Discussion

Our study demonstrates that when mental distress is obvious, primary care physicians recognize it. When a patient presents with a somatic chief complaint, such as headaches or less obvious mental health distress, recognition is still common, although not universal. The claim that recognition of depression is only 50% in primary care settings should be regarded with reservation.

We identified some areas where recognition could be improved. All physicians who did not recognize depression in scenario B failed to ask the patient about depressed mood, and only 19% asked about anhedonia. When the physician asked about either, the recognition rate increased by approximately 50%, and if they asked about both, it approached 100%. We found that recognition of depression was 100% with patients presenting with major depressive disorder, which included a total of 7 DSM criteria. It was diagnosed in approximately 50% of patients portraying a headache presentation with minor depression without a prompt by the standardized patient. We found that the one-sentence prompt (“I’ve had a tough year”) activated an additional 30% of the physicians to consider depression, bringing the rate of diagnosis up to almost 80% for patients portraying scenario B.

This finding underscores the importance of physicians’ pattern of approach in determining the patient’s reason for the visit. We found in our focus group study25 that physicians describe 3 approaches in pursuing a diagnosis of depression. These include a biomedical approach, where physicians’ threshold for considering depression is high. In this case, providers pursue diagnostic testing of physical causes of the symptom first and address depression when physical explanations are lacking. In the psychosocial approach, physicians’ threshold for considering depression is low, and depression is considered as a possibility first; response to an SSRI determines if depression is present. The biopsychosocial approach integrates the first 2 approaches. For that approach the threshold for pursuing depression is moderate, and biomedical and psychosocial issues are simultaneously pursued in investigating patients’ problems. We found focus group physicians identified with all 3 approaches and often crossed over among the approaches, depending on patient cues. We suggest that those study physicians who did not diagnose depression, even with the standardized patient’s prompt, did not cross over among approaches despite 2 visits with the patient. Establishing a longer relationship and obtaining additional cues from the patient may have reduced their threshold for considering depression.

Certain diagnostic criteria were pursued more than others in diagnosing depression. Asking questions about sleep, for example, was strongly associated with such a diagnosis. Questions about sleep were pursued by more than 98% of the physicians diagnosing depression in patients enacting scenario B versus 44% who asked about sleep but did not diagnose depression. Anhedonia, weight changes, and fatigue were addressed in at least 56% to 76% of both patient encounters, while mood, suicide ideation, and family history of mental illness were addressed more often with patients enacting scenario A than B. This is consistent with a study done by Brody and colleagues,28 who found that asking about sleep, anhedonia, low self-esteem, and appetite led to recognition of the majority of cases of major depression in primary care. Substance abuse and previous history of mental health disorders were assessed in less than 40% of encounters. Asking about anhedonia and mood may increase recognition of depression. If depression is suspected, asking about previous mental health history and substance abuse, and exploring suicidal thoughts are important.

 

 

We found that physicians’ choices for managing depression, especially for the patients with major depressive disorder (scenario A), were consistent with AHCPR guidelines. SSRIs were prescribed most often, usually accompanied by a recommendation for ongoing counseling with a psychologist or social worker. A definitive approach for effectively treating subthreshold depression was not established, but we found counseling, over-the-counter medications, SSRIs, and exercise were most often recommended. If depression is diagnosed, follow-up should occur sooner than we observed in our study visits.

We found that visit duration and charges were associated with severity of symptoms. Encounters for scenario A were approximately 16% longer and 7% more costly than for scenario B. First visits across all encounters were also approximately 45% longer and 25% more costly than second visits. Time is becoming an ever more important factor in managed care environments. We learned that those who pursued fewer than 2 depressive symptoms were much less likely to diagnose depression than those who pursued 2 or more symptoms. Time pressures can certainly influence physicians’ decisions about pursuit of symptoms.

The strengths of this study include the kind of data possible to collect. Our methods allowed for a level of detail that cannot be obtained using medical record review or surveys on the basis of patient recall or physician self-report. Our results on agreement between the standardized patients and the project staff indicate that the quality of the data at this level of detail is excellent. Second, since physicians would normally adjust their approaches or management on the basis of the characteristics of the patient, our study allowed us to obtain information on what many doctors do when faced with the same patient during a subsequent visit. Obtaining this kind of information is virtually impossible using actual patients. Another strength of our study is that we included 3 regions of the country, which assists in making our findings generalizable. Many studies using unannounced standardized patients suffer from single and first-visit bias. We were able to orchestrate 2 visits for all but 10 study participants, allowing the potential for a relationship to become established between the patient and the provider. This rapport could be a critical factor in the ability to identify and discuss depression, which continues to be associated with stigma that may affect patients’ receptivity.

Limitations

We acknowledge some important limitations to our study. Our sampling techniques were purposeful, since we wanted a blend of family physicians and internists with varying ages and sex, affecting generalizability. The physicians who agreed to our investigative methods may have been more courageous in exposing their practice styles to such scrutiny and may be more skilled or confident than nonvolunteers. Our evaluation method is performance-based rather than patient-based; thus, we cannot provide information that can be linked to actual patient outcomes.

Though we felt at least 2 visits were necessary to assess physicians’ approaches to and management of depression, 2 visits may not be enough to capture representative behaviors of primary care physicians who often have very well established relationships with patients that affect diagnosis and management strategies. Our design allowed us to evaluate how physicians approach a major depressive disorder with an obvious chief complaint versus minor depression with a less obvious presentation. However, to adequately evaluate how AHCPR classifications influence recognition and management of depression, a more discriminating factorial design and larger sample size would be required.

Conclusions

We found that the rate of recognition of major depression in primary care is very high, and many aspects of AHCPR guidelines are followed in primary care. Patient presentation influences recognition, diagnostic exploration, and management approaches. When major depression is recognized, more routine exploration of suicide ideation and more universal follow-up within 2 weeks are areas for improvement. For somatic presentations compatible with depression, more routine inquiry about mood and pleasurable activities may increase recognition.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

References

 

1. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

2. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

3. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

4. Spitzer RL, Williams BW, Kroenke K, Linzer M DeGruy FV, III, Hahn SR. Utility of a new procedure for diagnosing mental disorders in primary care: the PRIME-MD 1000 study. JAMA 1994;272:1749-56.

5. Feldman EL, Jaffe A, Galambos N, Robbins A, Kelly RB, Froom J. Clinical practice guidelines on depression: awareness, attitudes and content knowledge among family physicians in New York. Arch Fam Med 1998;7:58-62.

6. Fortney J, Rost K, Zhang M. A joint choice model of the decision to seek depression treatment and choice of provider sector. Med Care 1998;36:307-20.

7. Mourilhe P, Stokes PE. Risks and benefits of selective serononin reuptake inhibitors in the treatment of depression. Drug Safety 1998;18:57-82.

8. Katon W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;41:237-47.

9. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

10. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

11. Simon GE, von Korff M. Recognition, management, and outcomes of depression in primary care. Arch Fam Med 1995;4:99-105.

12. Klinkman MS, Schwenk TL, Coyne JC. Depression in primary care—more like asthma than appendicitis: the Michigan Depression Project. Canadian J Psychiatry 1997;42:966-73.

13. Whooley MA, Avins AL, Miranda J, Browner WS. Case-finding instruments for depression: two questions are as good as many. J Gen Int Med 1997;12:439-45.

14. Ronalds C, Creed F, Stone K, Webb S, Tomenson B. Outcome of anxiety and depressive disorders in primary care. Br J Psychiatry 1997;171:427-33.

15. Furukawa T, Hirai T, Kitamura T, Takahashi K. Application of the Center for Epidemiologic Studies Depression Scale among first-visit psychiatric patients: a new approach to improve its performance. J Affect Dis 1997;46:1-13.

16. Schade CP, Jones ER, Jr, Wittlin BJ. A ten year review of the validity and clinical utility of depression screening. Psychiatr Serv 1998;49:55-61.

17. Klinkman MS, Coyne JC, Gallo S, Schwenk TL. Can case-finding instruments be used to improve physician detection of depression in primary care? Arch Fam Med 1997;6:567-73.

18. Upadhyaya AK, Stanley I. Detection of depression in primary care: comparison of two self-administered scales. Int J Geriatric Psychiatry 1997;12:35-7.

19. Greenberg PE, Stiglin LE, Finkelstein SN, Berndt ER. The economic burden of depression in 1990. J Clin Psychiatry 1993;54:405-18.

20. Hirschfeld RMA, Keller MB, Panico S, et al. The national depressive and manic-depressive association consensus statement on the undertreatment of depression. 1997;277:333-40.

21. McFarland BH. Cost effectiveness considertaions for managed care systems: treating depression in primary care. Am J Med 1994;57:115-32.

22. Klinkman MS. Competing demands in psychosocial care: a model for the identification and treatment of depressive disorders in primary care. Gen Hosp Psychiatry 1997;19:79-81.

23. Agency for Health Care Policy and Research Clinical practice guideline—depression in primary care: detection, diagnosis, and treatment. Agency for Health Care Policy and Research; 1993.

24. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. AHCPR Publication No. 93-0552. Arch Gen Psych 1995;52:11-9.

25. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

26. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

27. Badger LW, Berbaum M, Carney PA, Dietrich AJ, Owen M, Stem JT. Physician-patient gender and the recognition and treatment of depression in primary care. J Soc Serv Res. In press.

28. Brody DS, Hahn SR, Spitzer RL, et al. Identifying depressed patients in the primary care setting: a more efficient method. Arch Intern Med 1998;158:2469-75.

Author and Disclosure Information

 

Patricia A. Carney, PhD
Allen J. Dietrich, MD
Scottie Eliassen, M. , MS
Mary Owen, MD
Lee W. Badger, PhD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999.
From the Department of Community and Family Medicine (P.A.C., A.J.D., M.S.E), Dartmouth Medical School, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Drive, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

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Author and Disclosure Information

 

Patricia A. Carney, PhD
Allen J. Dietrich, MD
Scottie Eliassen, M. , MS
Mary Owen, MD
Lee W. Badger, PhD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999.
From the Department of Community and Family Medicine (P.A.C., A.J.D., M.S.E), Dartmouth Medical School, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Drive, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

Author and Disclosure Information

 

Patricia A. Carney, PhD
Allen J. Dietrich, MD
Scottie Eliassen, M. , MS
Mary Owen, MD
Lee W. Badger, PhD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999.
From the Department of Community and Family Medicine (P.A.C., A.J.D., M.S.E), Dartmouth Medical School, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Drive, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

 

BACKGROUND: Guidelines for recognition and management of depression in primary care provide a framework for detailed exploration of physician practice patterns.

METHODS: Our objective was to explore physician diagnosis and management approaches to depressive disorders according to type (major vs minor) and presenting complaint (difficulty sleeping and concentrating vs headache). The participants were community primary care internists and family physicians in northern New England, Washington, and Alabama (N = 149) who were randomly assigned to receive a visit from an unannounced actor portraying a standardized patient in 1 of 2 depression scenarios: (A) insomnia and poor concentration meeting Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R) criteria for major depressive disorder; or (B) tension headaches meeting the criteria for minor depression.

RESULTS: All physicians who were assigned to the standardized patients presenting with scenario A recognized depression, and 49% (38 of 78) of those assigned to scenario B patients diagnosed depression. Of those recognizing depression, 72% and 42% queried patients about anhedonia and mood, respectively. For both scenarios, if fewer than 2 DSM-III-R criteria were explored, depression was not diagnosed. Management for scenario A was compatible with Agency for Health Care Policy and Research guidelines, including the prescription of an antidepressant (94%), scheduling of a follow-up visit within 2 weeks (61%), and exploration of suicidal ideation (69.4%). For scenario B, management included over-the-counter analgesics for the headache (84%), exercise (63%), prescription for an antidepressant (53%), recommendation for ongoing counseling (100%), and follow-up within 2 weeks (42%).

CONCLUSIONS: Major depression is recognized in primary care at a very high rate. Guidelines for recognizing and managing depression are often followed in primary care. Patients’ presentations of depression influence its recognition and management.

The prevalence of major depression in primary care patients ranges from 1% to 25%,1-3 with a 13% prevalence rate for subthreshold depression.4 Although more than 90% of primary care physicians report treating depression in their offices,5,6 estimates of depressed patients who are correctly identified and treated range from 5%7 to 60%,8-11 with higher rates of diagnosis associated with more severe depression.12 Research on the use of case-finding instruments13-15 to improve recognition has produced inconsistent results.16-18 Currently, the economic burden of mood disorders in the United States is $44 billion.19

Underdiagnosis and undertreatment of depression in primary care have been attributed to patients’ presentations, expectations, competing medical problems, and reimbursement issues, and clinicians’ knowledge, skills, practice characteristics, and time constraints.20-22 Guidelines for recognition and treatment of major depressive disorder have been provided by the Agency for Health Care Policy and Research (AHCPR),23 though the effectiveness of treatment for subthreshold depression is less certain. It is clear, however, that depressed patients suffer ongoing functional impairment comparable with that experienced with a chronic medical illness such as diabetes or congestive heart failure.24 By understanding typical practice patterns, areas of depression diagnosis and management could be identified and targeted for practice-enhancement strategies.

We explored physicians’ diagnostic and treatment approaches to patients with both straightforward and more subtle presentations meeting 2 levels of depression criteria: major depressive disorder and minor depression. Unannounced trained actors portraying standardized patients were used to control the variability in patient presentations and characteristics.

Methods

In 1997, 3 study centers (one each in northern New England; Seattle, Washington; and Tuscaloosa, Alabama, were selected to represent a range of primary care geographic settings. Physician recruitment involved initial peer contact followed by a letter, consent form, and fact sheet briefly describing the study. We informed participants they would be visited twice by a standardized patient at some point during a 1-year period to assess health service delivery and that the encounters would be recorded to evaluate standardized patient case replication and accuracy of physician performance. Physicians were blinded to the study topic of depression, the date of the visits, and the standardized patient’s age, sex, and clinical presentation. All study procedures were approved by the institutional review boards at the 3 study centers.

Study Participants

A sample of 149 primary care physicians serving adults from each of the 3 regions represented a specialty mix (family physicians and internists) and a sex mix. Physicians were excluded if they had been at the current practice location for less than 1 year, their panel composition was less than 50% adults, more than 50% of their clinical time was devoted to subspecialty care, their practice was based in a residency training site or was closed to new patients.

Design

Four months before the first standardized patient visits, participants were randomly assigned to 1 of 4 study groups defined by patient sex and case presentation. The standardized patients portrayed symptoms compatible with either major depressive disorder with chief complaints suggesting depression (scenario A) or minor depression with a more subtle chief complaint (scenario B). The standardized patients called each practice in the study and requested an initial visit to address their presenting complaint and to establish ongoing care, and they returned as recommended for a second visit.

 

 

Development of the Standardized Patient Scenarios

Primary care and psychiatric faculty from each study center collaborated to develop the initial case scripts. These presentations were chosen to address 2 ends of the spectrum of common presentations for depression in primary care: obvious mental health distress versus more subtle distress of a sufficient degree to be associated with dysfunction as demonstrated in other studies.24 The scenarios were evaluated for feasibility, credibility, and internal consistency and were refined during guided focus groups of community physicians held in each study center.25 No pilot test or focus group physicians were study participants.

The actors portrayed the roles of either a 45-year-old corporate loan officer or a 26-year-old data entry clerk (Table 1). In both cases, a recent move required initiation of contact with a new care provider. According to the scenarios, the patient’s insurance was in transition because of a new job, but this was not scripted to be a barrier to care in either case. Encounters were paid for in cash, with the standardized patients indicating they would submit their own insurance claims. Standardized patients assigned to scenario A volunteered sleep and concentration difficulties as their chief complaints. No other DSM criteria were volunteered. If depression was not mentioned as a possible diagnosis to the patient enacting scenario B by the end of the second visit, the prompt, “I’ve had a really tough year,” was delivered by the patient. We did this to increase recognition of depression, allowing us to obtain information on the management approaches taken by all participating physicians. At the second visit, patients enacting both scenarios reported their symptoms were 50% better regardless of the treatment suggested during the first visit.

None of the actors had a personal history of depression. The standardized patients refused an extensive medical work-up at the time of the visits, stating they would prefer to wait until their insurance status was resolved. The exception was urinalysis, if it was part of the physician’s routine orders.

Measures

An evaluation checklist with dichotomous (yes/no) responses was developed to allow standardized patients to assess how participating physicians pursued the presenting complaints and the 9 criteria for major depressive disorder listed in the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R). The checklist was pilot-tested in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. Audiotape recorders with high-fidelity microphones, concealed in briefcases or book bags, were used to record the physician-patient interactions. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At each center, trained nonphysician project staff reviewed 20% of all audiotaped encounters for accuracy and reproducibility. Mechanical failure occurred in 3% of encounters. Agreement between the standardized patient and the project staff ranged from 79% to 100% for recorded encounters. The low end of this range concerned queries about mood, where the standardized patients were more likely than trained staff to score a question such as “How have you generally been feeling?” as an assessment of mood. Thus, standardized patients were at risk for overestimating the proportion of physicians asking about mood. Checklist data scored by the standardized patients were used in these analyses, since they represented the most complete and consistent record of the encounters.

Standardized Patient Training

Twenty-five actors were recruited from local medical education programs at the 3 participating institutions. All standardized patients were within 120% of their ideal body weights, and their clothes were consistent with the cases being portrayed. Scenario development and standardized patient training were initially done at the northern New England site, and training videotapes and materials were disseminated to the other 2 study centers. During the first phase of training, 24-hour didactic training sessions were held for each case, to inform the actors about the detailed scenario and the skills necessary to enact it. At the end of each session, actors observed videotaped interactions of themselves and completed study checklists, which were then compared and discussed until consensus was achieved on scoring. During the second phase of training, each actor visited 3 nonparticipating clinicians. None of these pilot physicians had any specific knowledge of the study and were instructed to respond to the patient as they would to any patient making the same request. Immediately after each videotaped session, the actors completed an evaluation checklist. The videotapes were then scored by the trained project staff at each study center using the same checklist, and any discrepancies in scoring or replicating the scenario were discussed. Twenty-four of the 25 actors consistently replicated the scenario and accurately assessed the providers (greater than 95% agreement with the trained observer) and were allowed to begin study visits.

 

 

Standardized patients also recorded the amount of time spent with the physicians and the charges for the visit. Three weeks after the final study visit, physicians were informed that the standardized patient visits had occurred. They were asked to either describe or name the patient. If the patient was detected as being a standardized patient, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the performance of the physicians to a significant degree; therefore, all detected visits were included in the analysis. If physicians did not recommend follow-up, the standardized patients initiated a follow-up visit by calling the practice and noting that their symptoms, though improved somewhat, were still present. All physicians forwarded standardized patient medical records for abstraction and took part in a telephone debriefing during which we determined what alerted them to this diagnosis or why they did not recognize depression.

For classifying physicians as recognizing depression, the following indicators were used: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist.

Analysis

Descriptive statistics were used to characterize study participants and encounters. Comparisons between scenarios A and B for pursuit of presenting complaints, DSM-III-R criteria, other diagnostic criteria, and depression management were evaluated using the chi-squared or Fisher’s exact test when indicated. Time and charges were analyzed using t tests and Pearson’s product moment correlation coefficient. Analysis of data on scheduling follow-up between the first and second visits across cases was performed using 1-way analysis of variance (mixed model). All tests comparing performance across the scenarios were 2-tailed. An a level of 0.05 was considered statistically significant, except where more than one test was used on the same variable (eg, sleep and other criteria comparisons analyzed by scenario and to identify predictors of a diagnosis of depression in a pooled analysis). In these cases, the a levels were set at 0.025. Inter-observer reliability was determined using percent agreement.

Results

One hundred forty-nine internists and family physicians meeting eligibility requirements were visited by an unannounced standardized patient. Sixty-nine physicians participated in northern New England, 50 in Seattle, and 30 in Tuscaloosa, Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. The mean age of physician participants was 42.8 years (standard deviation [SD] = 7.7); 67.5% were male. Fifty-one percent were family physicians; the other 49% were internists. Ninety-two percent were board certified. The mean number of years at the current practice location was 9.4 (SD = 7.0), and the estimated mean number of adult patients seen per week was 90.5 (SD = 36.1). Participants reported that 80% of their time was devoted to primary care. A total of 288 visits were made by our standardized patients: 135 in northern New England, 93 in Seattle, and 60 in Tuscaloosa. Second visits for 10 of the participants could not be made within the study period.

Recognition of Depression

One hundred percent of physicians visited by scenario A patients diagnosed depression, 91% at the first visit. Depression was diagnosed without a specific prompt in 49% of scenario B patients (38 of 77). Twenty-six percent of the diagnoses occurred during the first visit and 23% during the second visit. An additional 30% of providers (23 of 77) diagnosed depression in scenario B after the prompt, “I’ve had a really tough year,” was delivered. In 3% (2 patients) of scenario B encounters, the standardized patients were unable to deliver the prompt, and in 18% (14 of 77) depression was not diagnosed according to our a priori criteria, even though the prompt was delivered.

Table 2 shows the use of DSM-III-R criteria by physicians according to patient presentation. Among patients given a diagnosis of a depressive disorder, including all 72 who presented with scenario A and the 61 of 77 who presented with scenario B, physicians made similar use of criteria. No differences were noted in recognizing depression by specialty (family physician or internal medicine), and no statistical differences were noted in the characteristics of physicians assigned to scenario A or scenario B.

When we clustered depression criteria as outlined in DSM-III-R 26 into physical/neurovegetative symptoms (sleep disturbance, weight changes, attention/concentration problems, fatigue, psychomotor disturbance) or psychiatric/psychosocial symptoms (depressed mood, anhedonia, guilt feelings, suicidal thoughts) and assessed inquiry about them for association with a diagnosis of depression, both sets of criteria were statistically significant at P <.001. The mean number of physical/neurovegetative symptoms asked about in diagnosing depression was 3.4; the mean number of psychiatric/psychosocial symptoms was 1.8. If fewer than 2 symptoms were asked about during the encounter, depression was not diagnosed.

 

 

Questioning about anhedonia exceeded questioning about depressed mood in both presentations but did not differ significantly between them. Debriefings of physicians assigned to scenario A who did not ask about mood indicated that depressed mood was so obvious that it did not require a direct question. Debriefings of physicians assigned to scenario B who did not ask about mood indicated that the presentation did not suggest to them that the patient had a depressed mood.

Table 3 outlines physicians’ exploration of other information relevant to depression. Exploration of work and home life was more likely to occur for patients enacting scenario A. For scenario B, the work situation was less often addressed. The patient’s social network was explored in both scenarios by approximately 40% of the physicians.

Table 4 shows the DSM criteria explored when depression was not diagnosed. Exploring weight gain and sleep pattern occurred in about half of the encounters, while most other criteria were explored by only a few physicians or not at all. We found that only 7% of scenario B patients who did not receive a diagnosis of depression were asked about their social network; more than 40% of patients given a diagnosis of depression in either scenario A or B, however, were asked about their social network (Table 2).

Management of Depression

Table 5 shows the management strategies used by physicians who diagnosed depression (n = 133). This includes all 72 assigned to scenario A and 61 of those assigned to scenario B.

Physicians visited by scenario A patients often followed AHCPR guidelines for the management of depression. They prescribed selective serotonin reuptake inhibitors (SSRIs) more often than counseling. Forty-four of the 72 patients were treated with both counseling and SSRIs by the end of the second visit. Patients acting out scenario A were more likely to receive education on the causes of depression, treatment options, and prognosis, and to be provided with written material about depression than those presenting with scenario B.

Patients enacting scenario B often received recommendations for over-the-counter (OTC) analgesic medications appropriate for treatment of headache and were told to exercise. The OTC medication recommendations were more likely to occur at the first visit (22 of 38, 58%), while recommendations for exercise were more likely at the second visit (23 of 39, 59%). When SSRIs were prescribed for the patient in scenario B, this occurred more often at the second visit (68%).

Referrals for ongoing mental health counseling were more likely to be made for patients enacting scenario B than scenario A. Follow-up was almost equally recommended for patients portraying either scenario, but the time interval for follow-up was significantly shorter for scenario A patients than for those of scenario B. Sixty percent of the physicians recommended follow-up within 2 weeks for patients portraying scenario A, and an additional 34% recommended follow-up to occur between 2 and 4 weeks after the first visit. After the second visit in scenario A, follow-up was recommended to occur within 2 weeks in 13% of encounters, between 2 to 4 weeks in 52%, and in 35% it was recommended to occur more than a month later. For patients portraying scenario B, follow-up was recommended within 2 weeks for 42% after the first visit, and an additional 45% recommended it occur between 2 and 4 weeks. Follow-up after the second visit was recommended to occur within 2 weeks for 21% of patients, with an additional 48% recommended between 2 and 4 weeks.

For patients enacting scenario B where depression was not diagnosed, 64% received a recommendation for an over-the-counter nonsteroidal anti-inflammatory, acetaminophen, or aspirin. Twenty-one percent received a prescription drug for migraine headache; 7% received a prescription for a muscle relaxant; 7% received a prescription for a b blocker; and 7% received a recommendation for exercise only.

Patients spent 12.2 to 24.5 minutes in the waiting room. No statistical differences were noted by region or by first versus second visits. Physicians spent 13.4 to 28.4 minutes with patients. Time spent with patients did not vary by region. Second visits were half as long as first visits (12.7 minutes vs 23.0, P = .001). For scenario A patients, the mean number of minutes spent with physicians was 19.4 (SD = 11.7), and it was 16.6 (SD = 9.3) for scenario B patients (P = .01). Charges for visits ranged from $43.75 to $70.30, with a mean of $56.44 (SD = $26.46). First visits were more expensive than second visits ($69.96 vs $43.19, P <.001), but did not differ by number of depressive symptoms ($59.17 for scenario A, $54.86 for scenario B; P = .10). Pearson’s correlation coefficient between time spent with the physician and charges was 0.399 (P <.01).

 

 

There was variability in how depression was discussed and documented in the medical record. In combined scenarios A and B for cases where depression was diagnosed, it was both discussed with the patient and recorded in the medical record in 77.2% of encounters. It was discussed with the patient but not noted in the medical record in an additional 6.7% of encounters and appeared in the medical record but with no patient discussion in 5.4% of encounters. In 10.7% of encounters, patients received a prescription for an antidepressant or a recommendation for ongoing counseling with a psychologist or social worker, though the word “depression” was not used with the patient or noted in the medical record.

No statistical differences were found by region in the proportion of patients given a diagnosis of depression. Differences found in diagnosis and management according to physician and patient sex have been reported elsewhere.27 Briefly, male physicians explored symptoms and discussed a diagnosis with women significantly more often than with men. Both male and female physicians recommended counseling more often for women portraying scenario B standardized patients than for men portraying the same type of patient.

Discussion

Our study demonstrates that when mental distress is obvious, primary care physicians recognize it. When a patient presents with a somatic chief complaint, such as headaches or less obvious mental health distress, recognition is still common, although not universal. The claim that recognition of depression is only 50% in primary care settings should be regarded with reservation.

We identified some areas where recognition could be improved. All physicians who did not recognize depression in scenario B failed to ask the patient about depressed mood, and only 19% asked about anhedonia. When the physician asked about either, the recognition rate increased by approximately 50%, and if they asked about both, it approached 100%. We found that recognition of depression was 100% with patients presenting with major depressive disorder, which included a total of 7 DSM criteria. It was diagnosed in approximately 50% of patients portraying a headache presentation with minor depression without a prompt by the standardized patient. We found that the one-sentence prompt (“I’ve had a tough year”) activated an additional 30% of the physicians to consider depression, bringing the rate of diagnosis up to almost 80% for patients portraying scenario B.

This finding underscores the importance of physicians’ pattern of approach in determining the patient’s reason for the visit. We found in our focus group study25 that physicians describe 3 approaches in pursuing a diagnosis of depression. These include a biomedical approach, where physicians’ threshold for considering depression is high. In this case, providers pursue diagnostic testing of physical causes of the symptom first and address depression when physical explanations are lacking. In the psychosocial approach, physicians’ threshold for considering depression is low, and depression is considered as a possibility first; response to an SSRI determines if depression is present. The biopsychosocial approach integrates the first 2 approaches. For that approach the threshold for pursuing depression is moderate, and biomedical and psychosocial issues are simultaneously pursued in investigating patients’ problems. We found focus group physicians identified with all 3 approaches and often crossed over among the approaches, depending on patient cues. We suggest that those study physicians who did not diagnose depression, even with the standardized patient’s prompt, did not cross over among approaches despite 2 visits with the patient. Establishing a longer relationship and obtaining additional cues from the patient may have reduced their threshold for considering depression.

Certain diagnostic criteria were pursued more than others in diagnosing depression. Asking questions about sleep, for example, was strongly associated with such a diagnosis. Questions about sleep were pursued by more than 98% of the physicians diagnosing depression in patients enacting scenario B versus 44% who asked about sleep but did not diagnose depression. Anhedonia, weight changes, and fatigue were addressed in at least 56% to 76% of both patient encounters, while mood, suicide ideation, and family history of mental illness were addressed more often with patients enacting scenario A than B. This is consistent with a study done by Brody and colleagues,28 who found that asking about sleep, anhedonia, low self-esteem, and appetite led to recognition of the majority of cases of major depression in primary care. Substance abuse and previous history of mental health disorders were assessed in less than 40% of encounters. Asking about anhedonia and mood may increase recognition of depression. If depression is suspected, asking about previous mental health history and substance abuse, and exploring suicidal thoughts are important.

 

 

We found that physicians’ choices for managing depression, especially for the patients with major depressive disorder (scenario A), were consistent with AHCPR guidelines. SSRIs were prescribed most often, usually accompanied by a recommendation for ongoing counseling with a psychologist or social worker. A definitive approach for effectively treating subthreshold depression was not established, but we found counseling, over-the-counter medications, SSRIs, and exercise were most often recommended. If depression is diagnosed, follow-up should occur sooner than we observed in our study visits.

We found that visit duration and charges were associated with severity of symptoms. Encounters for scenario A were approximately 16% longer and 7% more costly than for scenario B. First visits across all encounters were also approximately 45% longer and 25% more costly than second visits. Time is becoming an ever more important factor in managed care environments. We learned that those who pursued fewer than 2 depressive symptoms were much less likely to diagnose depression than those who pursued 2 or more symptoms. Time pressures can certainly influence physicians’ decisions about pursuit of symptoms.

The strengths of this study include the kind of data possible to collect. Our methods allowed for a level of detail that cannot be obtained using medical record review or surveys on the basis of patient recall or physician self-report. Our results on agreement between the standardized patients and the project staff indicate that the quality of the data at this level of detail is excellent. Second, since physicians would normally adjust their approaches or management on the basis of the characteristics of the patient, our study allowed us to obtain information on what many doctors do when faced with the same patient during a subsequent visit. Obtaining this kind of information is virtually impossible using actual patients. Another strength of our study is that we included 3 regions of the country, which assists in making our findings generalizable. Many studies using unannounced standardized patients suffer from single and first-visit bias. We were able to orchestrate 2 visits for all but 10 study participants, allowing the potential for a relationship to become established between the patient and the provider. This rapport could be a critical factor in the ability to identify and discuss depression, which continues to be associated with stigma that may affect patients’ receptivity.

Limitations

We acknowledge some important limitations to our study. Our sampling techniques were purposeful, since we wanted a blend of family physicians and internists with varying ages and sex, affecting generalizability. The physicians who agreed to our investigative methods may have been more courageous in exposing their practice styles to such scrutiny and may be more skilled or confident than nonvolunteers. Our evaluation method is performance-based rather than patient-based; thus, we cannot provide information that can be linked to actual patient outcomes.

Though we felt at least 2 visits were necessary to assess physicians’ approaches to and management of depression, 2 visits may not be enough to capture representative behaviors of primary care physicians who often have very well established relationships with patients that affect diagnosis and management strategies. Our design allowed us to evaluate how physicians approach a major depressive disorder with an obvious chief complaint versus minor depression with a less obvious presentation. However, to adequately evaluate how AHCPR classifications influence recognition and management of depression, a more discriminating factorial design and larger sample size would be required.

Conclusions

We found that the rate of recognition of major depression in primary care is very high, and many aspects of AHCPR guidelines are followed in primary care. Patient presentation influences recognition, diagnostic exploration, and management approaches. When major depression is recognized, more routine exploration of suicide ideation and more universal follow-up within 2 weeks are areas for improvement. For somatic presentations compatible with depression, more routine inquiry about mood and pleasurable activities may increase recognition.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

 

BACKGROUND: Guidelines for recognition and management of depression in primary care provide a framework for detailed exploration of physician practice patterns.

METHODS: Our objective was to explore physician diagnosis and management approaches to depressive disorders according to type (major vs minor) and presenting complaint (difficulty sleeping and concentrating vs headache). The participants were community primary care internists and family physicians in northern New England, Washington, and Alabama (N = 149) who were randomly assigned to receive a visit from an unannounced actor portraying a standardized patient in 1 of 2 depression scenarios: (A) insomnia and poor concentration meeting Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R) criteria for major depressive disorder; or (B) tension headaches meeting the criteria for minor depression.

RESULTS: All physicians who were assigned to the standardized patients presenting with scenario A recognized depression, and 49% (38 of 78) of those assigned to scenario B patients diagnosed depression. Of those recognizing depression, 72% and 42% queried patients about anhedonia and mood, respectively. For both scenarios, if fewer than 2 DSM-III-R criteria were explored, depression was not diagnosed. Management for scenario A was compatible with Agency for Health Care Policy and Research guidelines, including the prescription of an antidepressant (94%), scheduling of a follow-up visit within 2 weeks (61%), and exploration of suicidal ideation (69.4%). For scenario B, management included over-the-counter analgesics for the headache (84%), exercise (63%), prescription for an antidepressant (53%), recommendation for ongoing counseling (100%), and follow-up within 2 weeks (42%).

CONCLUSIONS: Major depression is recognized in primary care at a very high rate. Guidelines for recognizing and managing depression are often followed in primary care. Patients’ presentations of depression influence its recognition and management.

The prevalence of major depression in primary care patients ranges from 1% to 25%,1-3 with a 13% prevalence rate for subthreshold depression.4 Although more than 90% of primary care physicians report treating depression in their offices,5,6 estimates of depressed patients who are correctly identified and treated range from 5%7 to 60%,8-11 with higher rates of diagnosis associated with more severe depression.12 Research on the use of case-finding instruments13-15 to improve recognition has produced inconsistent results.16-18 Currently, the economic burden of mood disorders in the United States is $44 billion.19

Underdiagnosis and undertreatment of depression in primary care have been attributed to patients’ presentations, expectations, competing medical problems, and reimbursement issues, and clinicians’ knowledge, skills, practice characteristics, and time constraints.20-22 Guidelines for recognition and treatment of major depressive disorder have been provided by the Agency for Health Care Policy and Research (AHCPR),23 though the effectiveness of treatment for subthreshold depression is less certain. It is clear, however, that depressed patients suffer ongoing functional impairment comparable with that experienced with a chronic medical illness such as diabetes or congestive heart failure.24 By understanding typical practice patterns, areas of depression diagnosis and management could be identified and targeted for practice-enhancement strategies.

We explored physicians’ diagnostic and treatment approaches to patients with both straightforward and more subtle presentations meeting 2 levels of depression criteria: major depressive disorder and minor depression. Unannounced trained actors portraying standardized patients were used to control the variability in patient presentations and characteristics.

Methods

In 1997, 3 study centers (one each in northern New England; Seattle, Washington; and Tuscaloosa, Alabama, were selected to represent a range of primary care geographic settings. Physician recruitment involved initial peer contact followed by a letter, consent form, and fact sheet briefly describing the study. We informed participants they would be visited twice by a standardized patient at some point during a 1-year period to assess health service delivery and that the encounters would be recorded to evaluate standardized patient case replication and accuracy of physician performance. Physicians were blinded to the study topic of depression, the date of the visits, and the standardized patient’s age, sex, and clinical presentation. All study procedures were approved by the institutional review boards at the 3 study centers.

Study Participants

A sample of 149 primary care physicians serving adults from each of the 3 regions represented a specialty mix (family physicians and internists) and a sex mix. Physicians were excluded if they had been at the current practice location for less than 1 year, their panel composition was less than 50% adults, more than 50% of their clinical time was devoted to subspecialty care, their practice was based in a residency training site or was closed to new patients.

Design

Four months before the first standardized patient visits, participants were randomly assigned to 1 of 4 study groups defined by patient sex and case presentation. The standardized patients portrayed symptoms compatible with either major depressive disorder with chief complaints suggesting depression (scenario A) or minor depression with a more subtle chief complaint (scenario B). The standardized patients called each practice in the study and requested an initial visit to address their presenting complaint and to establish ongoing care, and they returned as recommended for a second visit.

 

 

Development of the Standardized Patient Scenarios

Primary care and psychiatric faculty from each study center collaborated to develop the initial case scripts. These presentations were chosen to address 2 ends of the spectrum of common presentations for depression in primary care: obvious mental health distress versus more subtle distress of a sufficient degree to be associated with dysfunction as demonstrated in other studies.24 The scenarios were evaluated for feasibility, credibility, and internal consistency and were refined during guided focus groups of community physicians held in each study center.25 No pilot test or focus group physicians were study participants.

The actors portrayed the roles of either a 45-year-old corporate loan officer or a 26-year-old data entry clerk (Table 1). In both cases, a recent move required initiation of contact with a new care provider. According to the scenarios, the patient’s insurance was in transition because of a new job, but this was not scripted to be a barrier to care in either case. Encounters were paid for in cash, with the standardized patients indicating they would submit their own insurance claims. Standardized patients assigned to scenario A volunteered sleep and concentration difficulties as their chief complaints. No other DSM criteria were volunteered. If depression was not mentioned as a possible diagnosis to the patient enacting scenario B by the end of the second visit, the prompt, “I’ve had a really tough year,” was delivered by the patient. We did this to increase recognition of depression, allowing us to obtain information on the management approaches taken by all participating physicians. At the second visit, patients enacting both scenarios reported their symptoms were 50% better regardless of the treatment suggested during the first visit.

None of the actors had a personal history of depression. The standardized patients refused an extensive medical work-up at the time of the visits, stating they would prefer to wait until their insurance status was resolved. The exception was urinalysis, if it was part of the physician’s routine orders.

Measures

An evaluation checklist with dichotomous (yes/no) responses was developed to allow standardized patients to assess how participating physicians pursued the presenting complaints and the 9 criteria for major depressive disorder listed in the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R). The checklist was pilot-tested in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. Audiotape recorders with high-fidelity microphones, concealed in briefcases or book bags, were used to record the physician-patient interactions. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At each center, trained nonphysician project staff reviewed 20% of all audiotaped encounters for accuracy and reproducibility. Mechanical failure occurred in 3% of encounters. Agreement between the standardized patient and the project staff ranged from 79% to 100% for recorded encounters. The low end of this range concerned queries about mood, where the standardized patients were more likely than trained staff to score a question such as “How have you generally been feeling?” as an assessment of mood. Thus, standardized patients were at risk for overestimating the proportion of physicians asking about mood. Checklist data scored by the standardized patients were used in these analyses, since they represented the most complete and consistent record of the encounters.

Standardized Patient Training

Twenty-five actors were recruited from local medical education programs at the 3 participating institutions. All standardized patients were within 120% of their ideal body weights, and their clothes were consistent with the cases being portrayed. Scenario development and standardized patient training were initially done at the northern New England site, and training videotapes and materials were disseminated to the other 2 study centers. During the first phase of training, 24-hour didactic training sessions were held for each case, to inform the actors about the detailed scenario and the skills necessary to enact it. At the end of each session, actors observed videotaped interactions of themselves and completed study checklists, which were then compared and discussed until consensus was achieved on scoring. During the second phase of training, each actor visited 3 nonparticipating clinicians. None of these pilot physicians had any specific knowledge of the study and were instructed to respond to the patient as they would to any patient making the same request. Immediately after each videotaped session, the actors completed an evaluation checklist. The videotapes were then scored by the trained project staff at each study center using the same checklist, and any discrepancies in scoring or replicating the scenario were discussed. Twenty-four of the 25 actors consistently replicated the scenario and accurately assessed the providers (greater than 95% agreement with the trained observer) and were allowed to begin study visits.

 

 

Standardized patients also recorded the amount of time spent with the physicians and the charges for the visit. Three weeks after the final study visit, physicians were informed that the standardized patient visits had occurred. They were asked to either describe or name the patient. If the patient was detected as being a standardized patient, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the performance of the physicians to a significant degree; therefore, all detected visits were included in the analysis. If physicians did not recommend follow-up, the standardized patients initiated a follow-up visit by calling the practice and noting that their symptoms, though improved somewhat, were still present. All physicians forwarded standardized patient medical records for abstraction and took part in a telephone debriefing during which we determined what alerted them to this diagnosis or why they did not recognize depression.

For classifying physicians as recognizing depression, the following indicators were used: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist.

Analysis

Descriptive statistics were used to characterize study participants and encounters. Comparisons between scenarios A and B for pursuit of presenting complaints, DSM-III-R criteria, other diagnostic criteria, and depression management were evaluated using the chi-squared or Fisher’s exact test when indicated. Time and charges were analyzed using t tests and Pearson’s product moment correlation coefficient. Analysis of data on scheduling follow-up between the first and second visits across cases was performed using 1-way analysis of variance (mixed model). All tests comparing performance across the scenarios were 2-tailed. An a level of 0.05 was considered statistically significant, except where more than one test was used on the same variable (eg, sleep and other criteria comparisons analyzed by scenario and to identify predictors of a diagnosis of depression in a pooled analysis). In these cases, the a levels were set at 0.025. Inter-observer reliability was determined using percent agreement.

Results

One hundred forty-nine internists and family physicians meeting eligibility requirements were visited by an unannounced standardized patient. Sixty-nine physicians participated in northern New England, 50 in Seattle, and 30 in Tuscaloosa, Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. The mean age of physician participants was 42.8 years (standard deviation [SD] = 7.7); 67.5% were male. Fifty-one percent were family physicians; the other 49% were internists. Ninety-two percent were board certified. The mean number of years at the current practice location was 9.4 (SD = 7.0), and the estimated mean number of adult patients seen per week was 90.5 (SD = 36.1). Participants reported that 80% of their time was devoted to primary care. A total of 288 visits were made by our standardized patients: 135 in northern New England, 93 in Seattle, and 60 in Tuscaloosa. Second visits for 10 of the participants could not be made within the study period.

Recognition of Depression

One hundred percent of physicians visited by scenario A patients diagnosed depression, 91% at the first visit. Depression was diagnosed without a specific prompt in 49% of scenario B patients (38 of 77). Twenty-six percent of the diagnoses occurred during the first visit and 23% during the second visit. An additional 30% of providers (23 of 77) diagnosed depression in scenario B after the prompt, “I’ve had a really tough year,” was delivered. In 3% (2 patients) of scenario B encounters, the standardized patients were unable to deliver the prompt, and in 18% (14 of 77) depression was not diagnosed according to our a priori criteria, even though the prompt was delivered.

Table 2 shows the use of DSM-III-R criteria by physicians according to patient presentation. Among patients given a diagnosis of a depressive disorder, including all 72 who presented with scenario A and the 61 of 77 who presented with scenario B, physicians made similar use of criteria. No differences were noted in recognizing depression by specialty (family physician or internal medicine), and no statistical differences were noted in the characteristics of physicians assigned to scenario A or scenario B.

When we clustered depression criteria as outlined in DSM-III-R 26 into physical/neurovegetative symptoms (sleep disturbance, weight changes, attention/concentration problems, fatigue, psychomotor disturbance) or psychiatric/psychosocial symptoms (depressed mood, anhedonia, guilt feelings, suicidal thoughts) and assessed inquiry about them for association with a diagnosis of depression, both sets of criteria were statistically significant at P <.001. The mean number of physical/neurovegetative symptoms asked about in diagnosing depression was 3.4; the mean number of psychiatric/psychosocial symptoms was 1.8. If fewer than 2 symptoms were asked about during the encounter, depression was not diagnosed.

 

 

Questioning about anhedonia exceeded questioning about depressed mood in both presentations but did not differ significantly between them. Debriefings of physicians assigned to scenario A who did not ask about mood indicated that depressed mood was so obvious that it did not require a direct question. Debriefings of physicians assigned to scenario B who did not ask about mood indicated that the presentation did not suggest to them that the patient had a depressed mood.

Table 3 outlines physicians’ exploration of other information relevant to depression. Exploration of work and home life was more likely to occur for patients enacting scenario A. For scenario B, the work situation was less often addressed. The patient’s social network was explored in both scenarios by approximately 40% of the physicians.

Table 4 shows the DSM criteria explored when depression was not diagnosed. Exploring weight gain and sleep pattern occurred in about half of the encounters, while most other criteria were explored by only a few physicians or not at all. We found that only 7% of scenario B patients who did not receive a diagnosis of depression were asked about their social network; more than 40% of patients given a diagnosis of depression in either scenario A or B, however, were asked about their social network (Table 2).

Management of Depression

Table 5 shows the management strategies used by physicians who diagnosed depression (n = 133). This includes all 72 assigned to scenario A and 61 of those assigned to scenario B.

Physicians visited by scenario A patients often followed AHCPR guidelines for the management of depression. They prescribed selective serotonin reuptake inhibitors (SSRIs) more often than counseling. Forty-four of the 72 patients were treated with both counseling and SSRIs by the end of the second visit. Patients acting out scenario A were more likely to receive education on the causes of depression, treatment options, and prognosis, and to be provided with written material about depression than those presenting with scenario B.

Patients enacting scenario B often received recommendations for over-the-counter (OTC) analgesic medications appropriate for treatment of headache and were told to exercise. The OTC medication recommendations were more likely to occur at the first visit (22 of 38, 58%), while recommendations for exercise were more likely at the second visit (23 of 39, 59%). When SSRIs were prescribed for the patient in scenario B, this occurred more often at the second visit (68%).

Referrals for ongoing mental health counseling were more likely to be made for patients enacting scenario B than scenario A. Follow-up was almost equally recommended for patients portraying either scenario, but the time interval for follow-up was significantly shorter for scenario A patients than for those of scenario B. Sixty percent of the physicians recommended follow-up within 2 weeks for patients portraying scenario A, and an additional 34% recommended follow-up to occur between 2 and 4 weeks after the first visit. After the second visit in scenario A, follow-up was recommended to occur within 2 weeks in 13% of encounters, between 2 to 4 weeks in 52%, and in 35% it was recommended to occur more than a month later. For patients portraying scenario B, follow-up was recommended within 2 weeks for 42% after the first visit, and an additional 45% recommended it occur between 2 and 4 weeks. Follow-up after the second visit was recommended to occur within 2 weeks for 21% of patients, with an additional 48% recommended between 2 and 4 weeks.

For patients enacting scenario B where depression was not diagnosed, 64% received a recommendation for an over-the-counter nonsteroidal anti-inflammatory, acetaminophen, or aspirin. Twenty-one percent received a prescription drug for migraine headache; 7% received a prescription for a muscle relaxant; 7% received a prescription for a b blocker; and 7% received a recommendation for exercise only.

Patients spent 12.2 to 24.5 minutes in the waiting room. No statistical differences were noted by region or by first versus second visits. Physicians spent 13.4 to 28.4 minutes with patients. Time spent with patients did not vary by region. Second visits were half as long as first visits (12.7 minutes vs 23.0, P = .001). For scenario A patients, the mean number of minutes spent with physicians was 19.4 (SD = 11.7), and it was 16.6 (SD = 9.3) for scenario B patients (P = .01). Charges for visits ranged from $43.75 to $70.30, with a mean of $56.44 (SD = $26.46). First visits were more expensive than second visits ($69.96 vs $43.19, P <.001), but did not differ by number of depressive symptoms ($59.17 for scenario A, $54.86 for scenario B; P = .10). Pearson’s correlation coefficient between time spent with the physician and charges was 0.399 (P <.01).

 

 

There was variability in how depression was discussed and documented in the medical record. In combined scenarios A and B for cases where depression was diagnosed, it was both discussed with the patient and recorded in the medical record in 77.2% of encounters. It was discussed with the patient but not noted in the medical record in an additional 6.7% of encounters and appeared in the medical record but with no patient discussion in 5.4% of encounters. In 10.7% of encounters, patients received a prescription for an antidepressant or a recommendation for ongoing counseling with a psychologist or social worker, though the word “depression” was not used with the patient or noted in the medical record.

No statistical differences were found by region in the proportion of patients given a diagnosis of depression. Differences found in diagnosis and management according to physician and patient sex have been reported elsewhere.27 Briefly, male physicians explored symptoms and discussed a diagnosis with women significantly more often than with men. Both male and female physicians recommended counseling more often for women portraying scenario B standardized patients than for men portraying the same type of patient.

Discussion

Our study demonstrates that when mental distress is obvious, primary care physicians recognize it. When a patient presents with a somatic chief complaint, such as headaches or less obvious mental health distress, recognition is still common, although not universal. The claim that recognition of depression is only 50% in primary care settings should be regarded with reservation.

We identified some areas where recognition could be improved. All physicians who did not recognize depression in scenario B failed to ask the patient about depressed mood, and only 19% asked about anhedonia. When the physician asked about either, the recognition rate increased by approximately 50%, and if they asked about both, it approached 100%. We found that recognition of depression was 100% with patients presenting with major depressive disorder, which included a total of 7 DSM criteria. It was diagnosed in approximately 50% of patients portraying a headache presentation with minor depression without a prompt by the standardized patient. We found that the one-sentence prompt (“I’ve had a tough year”) activated an additional 30% of the physicians to consider depression, bringing the rate of diagnosis up to almost 80% for patients portraying scenario B.

This finding underscores the importance of physicians’ pattern of approach in determining the patient’s reason for the visit. We found in our focus group study25 that physicians describe 3 approaches in pursuing a diagnosis of depression. These include a biomedical approach, where physicians’ threshold for considering depression is high. In this case, providers pursue diagnostic testing of physical causes of the symptom first and address depression when physical explanations are lacking. In the psychosocial approach, physicians’ threshold for considering depression is low, and depression is considered as a possibility first; response to an SSRI determines if depression is present. The biopsychosocial approach integrates the first 2 approaches. For that approach the threshold for pursuing depression is moderate, and biomedical and psychosocial issues are simultaneously pursued in investigating patients’ problems. We found focus group physicians identified with all 3 approaches and often crossed over among the approaches, depending on patient cues. We suggest that those study physicians who did not diagnose depression, even with the standardized patient’s prompt, did not cross over among approaches despite 2 visits with the patient. Establishing a longer relationship and obtaining additional cues from the patient may have reduced their threshold for considering depression.

Certain diagnostic criteria were pursued more than others in diagnosing depression. Asking questions about sleep, for example, was strongly associated with such a diagnosis. Questions about sleep were pursued by more than 98% of the physicians diagnosing depression in patients enacting scenario B versus 44% who asked about sleep but did not diagnose depression. Anhedonia, weight changes, and fatigue were addressed in at least 56% to 76% of both patient encounters, while mood, suicide ideation, and family history of mental illness were addressed more often with patients enacting scenario A than B. This is consistent with a study done by Brody and colleagues,28 who found that asking about sleep, anhedonia, low self-esteem, and appetite led to recognition of the majority of cases of major depression in primary care. Substance abuse and previous history of mental health disorders were assessed in less than 40% of encounters. Asking about anhedonia and mood may increase recognition of depression. If depression is suspected, asking about previous mental health history and substance abuse, and exploring suicidal thoughts are important.

 

 

We found that physicians’ choices for managing depression, especially for the patients with major depressive disorder (scenario A), were consistent with AHCPR guidelines. SSRIs were prescribed most often, usually accompanied by a recommendation for ongoing counseling with a psychologist or social worker. A definitive approach for effectively treating subthreshold depression was not established, but we found counseling, over-the-counter medications, SSRIs, and exercise were most often recommended. If depression is diagnosed, follow-up should occur sooner than we observed in our study visits.

We found that visit duration and charges were associated with severity of symptoms. Encounters for scenario A were approximately 16% longer and 7% more costly than for scenario B. First visits across all encounters were also approximately 45% longer and 25% more costly than second visits. Time is becoming an ever more important factor in managed care environments. We learned that those who pursued fewer than 2 depressive symptoms were much less likely to diagnose depression than those who pursued 2 or more symptoms. Time pressures can certainly influence physicians’ decisions about pursuit of symptoms.

The strengths of this study include the kind of data possible to collect. Our methods allowed for a level of detail that cannot be obtained using medical record review or surveys on the basis of patient recall or physician self-report. Our results on agreement between the standardized patients and the project staff indicate that the quality of the data at this level of detail is excellent. Second, since physicians would normally adjust their approaches or management on the basis of the characteristics of the patient, our study allowed us to obtain information on what many doctors do when faced with the same patient during a subsequent visit. Obtaining this kind of information is virtually impossible using actual patients. Another strength of our study is that we included 3 regions of the country, which assists in making our findings generalizable. Many studies using unannounced standardized patients suffer from single and first-visit bias. We were able to orchestrate 2 visits for all but 10 study participants, allowing the potential for a relationship to become established between the patient and the provider. This rapport could be a critical factor in the ability to identify and discuss depression, which continues to be associated with stigma that may affect patients’ receptivity.

Limitations

We acknowledge some important limitations to our study. Our sampling techniques were purposeful, since we wanted a blend of family physicians and internists with varying ages and sex, affecting generalizability. The physicians who agreed to our investigative methods may have been more courageous in exposing their practice styles to such scrutiny and may be more skilled or confident than nonvolunteers. Our evaluation method is performance-based rather than patient-based; thus, we cannot provide information that can be linked to actual patient outcomes.

Though we felt at least 2 visits were necessary to assess physicians’ approaches to and management of depression, 2 visits may not be enough to capture representative behaviors of primary care physicians who often have very well established relationships with patients that affect diagnosis and management strategies. Our design allowed us to evaluate how physicians approach a major depressive disorder with an obvious chief complaint versus minor depression with a less obvious presentation. However, to adequately evaluate how AHCPR classifications influence recognition and management of depression, a more discriminating factorial design and larger sample size would be required.

Conclusions

We found that the rate of recognition of major depression in primary care is very high, and many aspects of AHCPR guidelines are followed in primary care. Patient presentation influences recognition, diagnostic exploration, and management approaches. When major depression is recognized, more routine exploration of suicide ideation and more universal follow-up within 2 weeks are areas for improvement. For somatic presentations compatible with depression, more routine inquiry about mood and pleasurable activities may increase recognition.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

References

 

1. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

2. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

3. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

4. Spitzer RL, Williams BW, Kroenke K, Linzer M DeGruy FV, III, Hahn SR. Utility of a new procedure for diagnosing mental disorders in primary care: the PRIME-MD 1000 study. JAMA 1994;272:1749-56.

5. Feldman EL, Jaffe A, Galambos N, Robbins A, Kelly RB, Froom J. Clinical practice guidelines on depression: awareness, attitudes and content knowledge among family physicians in New York. Arch Fam Med 1998;7:58-62.

6. Fortney J, Rost K, Zhang M. A joint choice model of the decision to seek depression treatment and choice of provider sector. Med Care 1998;36:307-20.

7. Mourilhe P, Stokes PE. Risks and benefits of selective serononin reuptake inhibitors in the treatment of depression. Drug Safety 1998;18:57-82.

8. Katon W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;41:237-47.

9. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

10. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

11. Simon GE, von Korff M. Recognition, management, and outcomes of depression in primary care. Arch Fam Med 1995;4:99-105.

12. Klinkman MS, Schwenk TL, Coyne JC. Depression in primary care—more like asthma than appendicitis: the Michigan Depression Project. Canadian J Psychiatry 1997;42:966-73.

13. Whooley MA, Avins AL, Miranda J, Browner WS. Case-finding instruments for depression: two questions are as good as many. J Gen Int Med 1997;12:439-45.

14. Ronalds C, Creed F, Stone K, Webb S, Tomenson B. Outcome of anxiety and depressive disorders in primary care. Br J Psychiatry 1997;171:427-33.

15. Furukawa T, Hirai T, Kitamura T, Takahashi K. Application of the Center for Epidemiologic Studies Depression Scale among first-visit psychiatric patients: a new approach to improve its performance. J Affect Dis 1997;46:1-13.

16. Schade CP, Jones ER, Jr, Wittlin BJ. A ten year review of the validity and clinical utility of depression screening. Psychiatr Serv 1998;49:55-61.

17. Klinkman MS, Coyne JC, Gallo S, Schwenk TL. Can case-finding instruments be used to improve physician detection of depression in primary care? Arch Fam Med 1997;6:567-73.

18. Upadhyaya AK, Stanley I. Detection of depression in primary care: comparison of two self-administered scales. Int J Geriatric Psychiatry 1997;12:35-7.

19. Greenberg PE, Stiglin LE, Finkelstein SN, Berndt ER. The economic burden of depression in 1990. J Clin Psychiatry 1993;54:405-18.

20. Hirschfeld RMA, Keller MB, Panico S, et al. The national depressive and manic-depressive association consensus statement on the undertreatment of depression. 1997;277:333-40.

21. McFarland BH. Cost effectiveness considertaions for managed care systems: treating depression in primary care. Am J Med 1994;57:115-32.

22. Klinkman MS. Competing demands in psychosocial care: a model for the identification and treatment of depressive disorders in primary care. Gen Hosp Psychiatry 1997;19:79-81.

23. Agency for Health Care Policy and Research Clinical practice guideline—depression in primary care: detection, diagnosis, and treatment. Agency for Health Care Policy and Research; 1993.

24. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. AHCPR Publication No. 93-0552. Arch Gen Psych 1995;52:11-9.

25. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

26. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

27. Badger LW, Berbaum M, Carney PA, Dietrich AJ, Owen M, Stem JT. Physician-patient gender and the recognition and treatment of depression in primary care. J Soc Serv Res. In press.

28. Brody DS, Hahn SR, Spitzer RL, et al. Identifying depressed patients in the primary care setting: a more efficient method. Arch Intern Med 1998;158:2469-75.

References

 

1. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

2. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

3. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

4. Spitzer RL, Williams BW, Kroenke K, Linzer M DeGruy FV, III, Hahn SR. Utility of a new procedure for diagnosing mental disorders in primary care: the PRIME-MD 1000 study. JAMA 1994;272:1749-56.

5. Feldman EL, Jaffe A, Galambos N, Robbins A, Kelly RB, Froom J. Clinical practice guidelines on depression: awareness, attitudes and content knowledge among family physicians in New York. Arch Fam Med 1998;7:58-62.

6. Fortney J, Rost K, Zhang M. A joint choice model of the decision to seek depression treatment and choice of provider sector. Med Care 1998;36:307-20.

7. Mourilhe P, Stokes PE. Risks and benefits of selective serononin reuptake inhibitors in the treatment of depression. Drug Safety 1998;18:57-82.

8. Katon W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;41:237-47.

9. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

10. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

11. Simon GE, von Korff M. Recognition, management, and outcomes of depression in primary care. Arch Fam Med 1995;4:99-105.

12. Klinkman MS, Schwenk TL, Coyne JC. Depression in primary care—more like asthma than appendicitis: the Michigan Depression Project. Canadian J Psychiatry 1997;42:966-73.

13. Whooley MA, Avins AL, Miranda J, Browner WS. Case-finding instruments for depression: two questions are as good as many. J Gen Int Med 1997;12:439-45.

14. Ronalds C, Creed F, Stone K, Webb S, Tomenson B. Outcome of anxiety and depressive disorders in primary care. Br J Psychiatry 1997;171:427-33.

15. Furukawa T, Hirai T, Kitamura T, Takahashi K. Application of the Center for Epidemiologic Studies Depression Scale among first-visit psychiatric patients: a new approach to improve its performance. J Affect Dis 1997;46:1-13.

16. Schade CP, Jones ER, Jr, Wittlin BJ. A ten year review of the validity and clinical utility of depression screening. Psychiatr Serv 1998;49:55-61.

17. Klinkman MS, Coyne JC, Gallo S, Schwenk TL. Can case-finding instruments be used to improve physician detection of depression in primary care? Arch Fam Med 1997;6:567-73.

18. Upadhyaya AK, Stanley I. Detection of depression in primary care: comparison of two self-administered scales. Int J Geriatric Psychiatry 1997;12:35-7.

19. Greenberg PE, Stiglin LE, Finkelstein SN, Berndt ER. The economic burden of depression in 1990. J Clin Psychiatry 1993;54:405-18.

20. Hirschfeld RMA, Keller MB, Panico S, et al. The national depressive and manic-depressive association consensus statement on the undertreatment of depression. 1997;277:333-40.

21. McFarland BH. Cost effectiveness considertaions for managed care systems: treating depression in primary care. Am J Med 1994;57:115-32.

22. Klinkman MS. Competing demands in psychosocial care: a model for the identification and treatment of depressive disorders in primary care. Gen Hosp Psychiatry 1997;19:79-81.

23. Agency for Health Care Policy and Research Clinical practice guideline—depression in primary care: detection, diagnosis, and treatment. Agency for Health Care Policy and Research; 1993.

24. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. AHCPR Publication No. 93-0552. Arch Gen Psych 1995;52:11-9.

25. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

26. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

27. Badger LW, Berbaum M, Carney PA, Dietrich AJ, Owen M, Stem JT. Physician-patient gender and the recognition and treatment of depression in primary care. J Soc Serv Res. In press.

28. Brody DS, Hahn SR, Spitzer RL, et al. Identifying depressed patients in the primary care setting: a more efficient method. Arch Intern Med 1998;158:2469-75.

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How Physician Communication Influences Recognition of Depression in Primary Care

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How Physician Communication Influences Recognition of Depression in Primary Care

 

BACKGROUND: The relationship between physician communication patterns and the successful recognition of depression is poorly understood.

METHODS: We used unannounced visits by actors playing standardized patients to evaluate verbal communication between primary care physicians and a patient presenting with a minor depression scenario. Participants (n = 77) were assigned to receive 2 visits from a man or woman portraying a 26-year-old patient with chronic headaches who meets the criteria for minor depression. The standardized patients carried hidden audiotape recorders and high-fidelity microphones to document the encounters. The audiotapes were coded at 2-second intervals. These data were linked to information gathered from standardized patient checklists, medical records, and debriefing telephone calls with participants.

RESULTS: We obtained complete data on 59 (77%) of the physician-patient encounters; of those, 43 (73%) of the physicians recognized depression. Physicians who recognized depression asked twice as many questions about feelings and affect compared with those who did not (for feelings: 1.9% of total physician activity vs 0.9%, P = .017; for affect: composite score of 2.7% of total physician activity vs 1.3%, P = .003). We found no differences in the proportion or timing of broad to narrow questioning between those who did and did not recognize depression. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred.

CONCLUSIONS: Physicians who recognized depression differed significantly in the percentage of questions about feeling and affect, and an increase in questions about feelings may precede a diagnosis of depression, though more research is needed to establish this as an important finding.

Despite findings that the prevalence of depression symptomatology in general medical practice is comparable with hypertension and arthritis,1 several studies have found that primary care clinicians identify only half of the patients who meet the criteria for a depressive disorder.2-8 The barriers contributing to underrecognition of depression have been well documented and include the knowledge and attitudes of patients,9,10 inadequate physician training,11-13 physician attitudes,14,15 reimbursement issues,16,17 and insufficient time or other health care system factors that lead to inadequate diagnostic interviews.18-22 One area that has received relatively little attention is how physician-patient communication influences recognition of depression in primary care practice.

Communication is a core component of the physician-patient relationship. Good communication is associated with increased patient satisfaction,23 better diagnostic performance by physicians, greater patient compliance, improved health status of patients,24-26 and lower rates of malpractice litigation.27,28 Few studies have explored how physician-patient communication may influence the successful diagnosis of depression. One study29 found 2 communication behaviors that predicted successful recognition of depression, including the proportion of the interview devoted to affective interview behaviors (eg, accepting and eliciting feelings) and the use of broad open-ended psychosocial questions by the physician. Another study30 found that success in diagnosing somatiform disorders was associated with effective interdependent communication between physicians and patients. More research is needed, however, to understand how the timing of specific communication behaviors contributes to the success or failure of recognizing depression.

We conducted an exploratory study using actors portraying standardized patients to evaluate how physician communication contributes to a diagnosis of depression in primary care. We specifically explored whether successfully recognizing depression was associated with the timing and respective proportion of broad (open-ended) to narrow (close-ended) and medical to psychosocial questioning by the physicians or with the timing of questions about affect and mood. Primary care physicians are in a unique position to identify and treat the 1% to 25% of their patients with depression (of whom 5% to 9% have major depression).31-33 To identify how best to assist primary care physicians in overcoming the complicated obstacles that hinder recognizing depression, the communication process must be better understood.

Methods

Study methods for participant recruitment, scenario development, standardized patient recruitment, training and testing are described in detail elsewhere.34 In 1997, 3 study centers were selected to represent a range of primary care geographic settings. These included one center in northern New England; one in the region around Seattle, Washington; and one in northwest Alabama. Physician recruitment involved peer-to-peer contact. All study procedures were approved by the institutional review boards at the 3 study centers. Participants were informed that they would be visited twice by a standardized patient at some point during a 1-year period and that the encounters would be audiotaped to evaluate scenario replication and the accuracy of the standardized patients’ assessments of physician performance. The tapes would also be used to analyze communication patterns between the physicians and the standarized patients. Physicians were blinded to the specific study topic of depression, the dates of the visits, and the standarized patient’s age, sex, and specific clinical presentations.

 

 

Study Participants

The 77 participants represented a sample of primary care physicians serving adults in the 3 study regions. Criteria for selection of this sample included sex and specialty mix (family physicians and internists), as well as geographic accessibility. Recruitment targeted both family physicians and internists. Physicians were excluded if they had practiced at their current location for less than 1 year, their patient panel composition was less than 50% adult, they devoted less than 50% of their clinical time to primary care, they were based in a residency training site, or their practice was closed to new patients.

Case Scenarios

Four months before the first standardized patient visits, participants were assigned randomly to be visited by either a man or a woman enacting the same case scenario. The standardized patient presented with symptoms compatible with minor depression with a chief complaint of chronic headaches of 2-years’ duration, worsening during the last 3 months. The standardized patients called the practices in the study and requested an initial visit to address their presenting complaint and to establish ongoing care. They also returned as recommended for a second visit.

Medical and psychiatric faculty worked together to develop the initial case scenario. We chose this scenario because it represented a common presentation for depression in primary care: subtle mental health distress of a sufficient degree to be associated with dysfunction, as demonstrated in other studies.35 The scenario was evaluated for internal consistency and refined during guided focus groups of community physicians that were held in each study center.36

The core elements of the scenario are provided in Table 1. In the scenario, a recent move required initiation of contact with a new care provider. Insurance was described as being in transition because of a new job but was scripted not to be a barrier to care. The standarized patients paid for the encounters in cash and indicated they would submit their claims to their insurance companies on their own. No depressive symptoms were volunteered by these patients unless specifically queried. During the second visit, standardized patients reported that their symptoms were 50% better regardless of the treatment suggested at the first visit.

Instruments

An evaluation checklist (to be completed by the standardized patients) with dichotomous (yes/no) responses was developed to assess how participating physicians pursued the presenting complaints and the criteria for a depressive disorder as listed in the Diagnostic and Statistical Manual of Mental Disroders, Third Edition, Revised (DSM-III-R).37 We pilot-tested the checklist in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. The actors also used audiotape recorders with high-fidelity microphones to record the physician-patient interactions. These machines were concealed in briefcases or book bags specially adapted for this purpose. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At the end of the study, audiotapes were sent to Allegheny Medical College for interview coding using the Interaction System for Interview Evaluation (ISIE-81) originally developed by the National Board of Medical Examiners to specifically evaluate physician-patient communication when medical or surgical and psychological problems were present.38 Using ISIE-81, specially trained persons coded the audiotapes at 2-second intervals, classifying the segments into 35 subgroups of 7 major categories. Each code indicated what was occurring at that time. Interrater reliability of the ISIE-81 averages 0.84.39 The ISIE-81 categories include both physician and patient behaviors. Because ISIE-81 was developed to code videotapes rather than audiotapes, not all categories were codeable. The ISIE-81 categories we used in these analyses and their definitions are outlined in Table 2. Narrow psychosocial questions could be answered with yes, no, or another short direct answer. Broad psychosocial questions encouraged more than a short direct answer.

Implementation

Twelve actors were recruited from medical education programs that use standardized patients for teaching and evaluation. All standardized patients were within 120% of their ideal body weight, and the clothing they wore to the visits was consistent with the cases being enacted. The specifics of standardized patient training and testing are described elsewhere.34 Three weeks after the final standardized patient visit, physicians were informed that the visits had taken place. They were asked to either describe or name the patient. If the standardized patient was detected, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of the detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the physicians’ performance to a significant degree. Therefore all of the detected cases were included in the analysis. All physicians forwarded standardized patient medical records for abstraction and participated in a debriefing telephone call about their interactions with their assigned patient after both visits were completed.

 

 

Data Elements

The data elements we used in these analyses were derived from 4 sources. First, we used the demographics and practice survey completed by participants to characterize participants. Second, we used a data file composed of variables derived from the standardized patient checklist (an instrument designed to evaluate pursuit of presenting symptoms, DSM-III-R criteria, patient education, and management recommendations or decisions, which was completed by the standardized patients immediately after each encounter), and variables abstracted from the medical record to classify whether the physician was successful in recognizing depression. Any of the following indicators were used when classifying encounters as successful: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist. The third data file contained information from the debriefing telephone calls with the physicians. The final data source was the ISIE-81 coded data from the encounter dialogue.38

Data Analysis

To evaluate the use of broad questioning in either medical or psychosocial categories, we compared the proportion of the interview devoted to broad questions (ISIE-81 codes 11, 12, 31, and 32) between physicians who recognized depression and those who did not. To evaluate how the blend of broad and narrow questioning contributed to a successful diagnosis of depression, a dependent measure (DM1) was created in the analysis file that would allow comparisons of interview characteristics between physicians who recognized depression and those who did not. The DM1 consisted of the percentage of broad medical and broad psychosocial questions divided by the sum of all broad and narrow questions (total percentage). A high percentage on this measure indicated that the majority of questions asked by the physician were broad questions. Finally, we examined whether physicians interrupted patients to redirect the encounter (ISIE-81 code 16).

To evaluate how the use of affective interview behaviors contributed to the diagnosis of depression, 2 different measures were used. One was an individual ISIE-81 code (code 18, elicits feelings), which indicates physicians were asking about or commenting on patient feelings. The second measure was a composite of 3 ISIE-81 codes (DM2) including use of summary statements (code 14), asking about feelings (code 18), and showing approval (code 19). To address timing or sequencing effects in the use of broad to focused questioning, each visit was divided into quartiles and the distribution of open-ended to focused questioning was explored in each quartile. Comparisons were made by treating percentiles as means.

Descriptive statistics were used to characterize study participants and encounters. All tests comparing performance on the basis of whether depression was successfully diagnosed were 2-tailed. An a level of 0.05 was considered statistically significant, except when more than 1 test was used on the same study variable. In those cases, the a levels were set at 0.025. Independent t tests were used to compare continuous data between those who recognized depression and those who did not. Levene’s F test was used to evaluate the variance between 2 groups, and multivariate analysis of variance was used for multivariate comparisons.

Results

A total of 77 internists and family physicians who met eligibility requirements were visited by an unannounced standardized patient. Results on the use of diagnostic criteria in recognizing and managing depression are reported elsewhere.34 Depression was recognized in 79% (61 of 77) of the standardized patients. Complete ISIE-81 data were only available for 59 physicians. Transcripts were not available for 21.3% of the first visits and 28% of the second visits because of either poor sound quality of recordings or mechanical failure. When depression was recognized, it usually occurred during the first visit. Recordings of encounters varied widely in length, from 4 to 35 minutes with a mean of 14.9 minutes. Therefore in our analysis of questioning sequence, quartile length differs considerably across physicians. In some cases quartile length is very short.

We found that physicians talked almost twice as much as patients (0.44 per visit vs 0.24, P <.001). We also found that patients’ talking dominated the early portion of the encounter, while physicians’ talking dominated the latter portion. Of the 59 cases with sufficiently complete data for transcript analysis, 43 were successfully recognized as depression, and 16 were not. Forty-nine percent of the participants were from northern New England, 34% from Washington, and 17% from Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. There were no statistical differences in physician characteristics by site. The mean age of physician participants was 44.2 years; 66% were men; 64% were family physicians; and 85% were board certified. We found no differences in physician characteristics between those who did and did not recognize depression. We also found no differences in physician versus patient verbal activity over time between those who successfully recognized depression and those who did not.

 

 

In evaluating the proportion of the encounter devoted to broad questions (ISIE-81 codes 11, 12, 31, 32), we found the composite medians to be identical at 10.2% between those that did and did not recognize depression. The mean for encounters where depression was recognized was 10.5% (standard deviation [SD] = 4.0%) and was 11.3% (SD = 5.1%) in those who did not recognize depression (P = .552). The calculated measure on the ratio of broad to narrow medical and psychosocial questioning (DM1) was 79% in those who recognized depression and 82% in those who did not (P = .453). All physicians asked broad to narrow questions in a ratio of approximately 4 to 1.

On the basis of the single ISIE-81 code that indicates physicians were asking about or commenting on patient feelings (code 11), we found that physicians who recognized depression asked twice as many questions about feelings on average as those who did not recognize depression (1.9% of total physician activity vs 0.9%, P = .017). Using the composite measure of affective focus (DM2), we found physicians who recognized depression spent 2.7% of their time on the composite affective focus compared with 1.3% for physicians who did not recognize depression, a ratio of about 2 to 1 (P = .003). No instances of physicians interrupting patients to redirect the encounters occurred (ISIE-81 code 16).

On the basis of the physician debriefing telephone calls, we learned that in 60% of encounters depression was recognized immediately; in 26% depression was recognized in the middle of the first interview; and in 4% depression was recognized at the end of the first interview. Ten percent of physicians could not specifically remember when depression was recognized. In evaluating the timing or sequencing of questioning as they relate to a diagnosis of depression, we had initially hypothesized that successful recognizers would show a different pattern. However, no sequence differences related to broad to narrow questions were found between doctors who did and did not recognize depression. All physicians asked many more broad medical questions than psychosocial questions, as illustrated in Figure 1, but that difference was very marked in the first quartile and decreased as the visit went on. The interaction between quartile and medical versus psychosocial questioning was highly significant using multivariate analysis of variance (F [3,55] = 67.54; P <.001). No statistical differences existed between recognizing depression and interview quartile.

Figure 2 shows the timing of questions about patients’ feelings (ISIE code 11) as a function of whether depression was recognized and the point in the visit when depression was recognized. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred. It appears that some physicians initiated a series of questions about affect and feelings once they suspected a patient might have minor depression. Physicians who did not recognize depression spent the least amount of time asking affective questions.

Discussion

We found a high proportion (73%) of primary care physicians recognized minor depression, and when this occurred, physician self-reports indicated that it typically happened at the beginning of the encounter (60%). However, we cannot validate the physicians’ self-reports. (Though the standardized patients reported whether depression was recognized, they could not determine when in the encounter it occurred.) We found no differences in the use of broad to narrow questioning between those who successfully recognized depression and those who did not. We did find that the use of affective questioning was associated with successful recognition.

We found differences in the use of affective questioning and the timing of that questioning between those who successfully recognized depression and those who did not. Physicians who reported recognizing depression early in the encounter increased their use of affective questions as the interview progressed. This is likely because they need affective information as they consider treatment options. The curve for physicians who recognized depression in the middle of the encounter shows a marked increase of questions about feelings in the second quartile. Physicians who recognized depression late show an increase in questions about feelings in the third quartile. We did not have the appropriate design or the appropriate data to firmly attribute causality, but if questions about affect were an important contributor to a diagnosis of depression, they would be expected to closely precede the successful diagnosis. Our data are consistent with questions about affect playing an important role in the diagnosis.

Our results agree in some ways and not in others with those of Badger and colleagues,29 who found that 3 communication behaviors predicted with 60% accuracy when physicians would recognize depression and 74% accuracy when physicians would not. These included the proportion of the interview devoted to affective interview behaviors (accepts and elicits feelings, shows approval, reassures, and discloses own feelings), use of broad open-ended psychosocial questions by the physician, and when the physician did the majority of the talking. Though we found use of affective questions was associated with a diagnosis of depression, we did not find support for their finding of the use of broad to focused psychosocial questioning. We found that the majority of questions asked by physicians were broad medical questions, which likely indicates their pursuit of the patient’s presenting complaints of headache.

 

 

Results of a focus group study36 we conducted during the development phase suggested that physicians use 3 different approaches for recognizing depression, depending on patient cues. Physicians may take a biomedical approach first, where they consider depression only after possible medical conditions are ruled out. Another approach involved considering depression first, where antidepressants were used to help rule depression in. The last approach involved simultaneously addressing possible depression and pursuing any suspected medical problems. In this study, all 3 approaches were familiar to the focus group physicians. The various patterns of questioning we found associated with recognition of depression may be related to the approach physicians took in considering how to pursue the possibility of depression as part of their differential diagnoses in responding to the standardized patient scenario.

In our study, we found no instances of physicians interrupting the patient to redirect the encounter. This finding differs from those of Marvel and colleagues,40 who found in a linguistic analysis of 264 physician-patient encounters that 75.4% of physicians interrupted patients and redirected the dialogue. In that study, physicians began interrupting patients approximately 23 seconds into the encounter. Our study was restricted to encounters with a new patient, where interrupting may be less common than for established patients, where certain problems or diagnoses have already been defined.

Limitations

Our study has some limitations. Obtaining complete interview data for ISIE coding was challenging. Sound quality diminished when audiotapes were copied, which affected the amount of data we could include in our final analysis. When mechanical failures occurred during the encounters, we dropped those encounters from the analysis, since we could not determine what occurred during the missing interview segment. In addition, while unannounced standardized patients allow control for patient factors, interactions with actual patients who have depressive symptoms and established relationships with their providers may have yielded different findings.

A final issue concerns interview timing and the interpretation of findings. If the interest is in determining the type of behavior that occurs during an office visit that assists the physician in recognizing depression, it is important to distinguish the behaviors that occurred before diagnosis from the behaviors that occurred afterward. We had only physician self-report data to indicate when depression was recognized, which may have questionable validity. In any case, although it is difficult to argue that differences in communication occurring after recognition are responsible for successful recognition, it is possible that physicians’ thoughts and feelings are also responsible for successful recognition. Unfortunately, evaluating this possibility was beyond the scope of this investigation, but this is an important area for future research on this topic.

Conclusions

We found that physicians who recognized depression differed significantly in the percentage of questions they asked about feeling and affect and that an increase in questions about feelings may precede a diagnosis of depression. We found that physicians who recognized depression did not differ in their use of open-ended or close-ended questions compared with physicians who did not; the groups also did not differ in the use of medical versus psychosocial questions. Overall, these physicians spent the majority of their time asking about broad medical issues. More research is needed to verify these important findings.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

References

 

1. Wells KB. Caring for depression in primary care: defining and illustrating the policy context. J Clin Psychiatry 1997;58(suppl 1):24-7.

2. Kaaton W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;14:237-47.

3. Jancks SF. Recognition of mental distress and diagnosis of mental disorder in primary care. JAMA 1985;253:1903-7.

4. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

5. Gerber PD, Barrett J, Barrett J, Manheimer E, Whiting R, Smith R. Recognition of depression by internists in primary care: a comparison of internists and “gold standard” psychiatric assessments. J Gen Intern Med 1989;4:7-13.

6. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

7. Alarcon FJ, Isaacson JH, Franco-Bronson K. Diagnosing and treating depression in primary care patients: looking beyond physical complaints. Cleveland Clin J Med 1988;65:251-60.

8. Coyne JC, Schwenk TL, Fechner-Bates S. Nondetection of depression by primary care physicians reconsidered. Gen Hosp Psychiatry 1995;17:3-12.

9. Robbins JM, Kirmayer LJ. Physician sensitivity to emotional and nonverbal expression and the recognition of depression and anxiety in primary care. Proceedings of the fifth annual NIMH international research conference on the classification, recognition and treatment of mental disorders in general medical settings. Bethesda, Md: National Institute of Mental Health; 1991.

10. Hirschfeld RMA, Keller MB, Panico S, et al. The National depressive and manic-depressive association consensus statement on the undertreatment of depression. 1977;277:333-9.

11. Cohen-Cole SA, Baker J, Bird J. Psychiatric education improves internists’ knowledge: a three-year randomized controlled evaluation. Psychosom Med 1993;55:212-8.

12. Kamerow DB, Pincus HA, Macdonald DI. Alcohol abuse, other drug abuse, and mental disorders in medical practice: prevalence, costs, recognition and treatment. JAMA 1996;255:2054-7.

13. el-Mallakh RS, Wright JC, Breen KJ, Lippmann SB. Cues to depression in primary care practice. Postgrad Med 1996;100:85-8,93-6.

14. Main DA, Stulp CS, Miller RS. Primary care clinician attitudes, beliefs, and training: their role in the diagnosis and management of depression. Proceedings of the sixth annual NIMH international research conference on primary care mental health research: concepts, methods, and obstacles. Bethesda, Md: National Institute of Mental Health; 1992.

15. Verhaak PFM. Variations in the diagnosis of psychosocial disorders: a general practice observation study. Soc Sci Med 1986;23:595-604.

16. Eisenberg L. Treating depression and anxiety in primary care: closing the gap between knowledge and practice. N Engl J Med 1992;326:1080-3.

17. Speilberg TE. Treating depression and anxiety in primary care. Letter. N Engl J Med 1992;327:731.-

18. Hankin J, Oktay JS. Mental disorder and primary medical care: an analytic review of the literature. Washington, DC: US Government printing office; 1979.

19. Pardes H. Future needs for psychiatrists and other mental health personnel. Arch Gen Psychiatry 1979;36:1401-8.

20. Docherty JP. Barriers to the diagnosis of depression in primary care. J Clin Psychiatry 1997;58(suppl 1):5-10.

21. Schulberg HC, Magruder KM, deGruy F. Major depression in primary medical care practice: research and future priorities. Gen Hosp Psychiatry 1996;18:395-406.

22. Cole S, Raju M. Making the diagnosis of depression in the primary care setting. Am J Med 1996;101:10S-7S.

23. Vojnovic M, Martinov-Cvejin M, Grujic V. Biosocial aspects of physician-patient communication in general practice. Medicinski Pregled 1997;50:395-8.

24. Rosenberg EE, Lussier MT, Beaudoin C. Lessons for clinicians from physician-patient communication literature. Arch Fam Med 1997;6:279-83.

25. Hall JA, Roter DL, Milburn MA, Daltroy LH. Patients’ health as a predictor of physician and patient behavior in medical visits: a synthesis of four studies. Med Care 1996;34:1205-18.

26. Stewart MA. Effective physician-patient communication and health outcomes: a review. Can Med Assoc J 1995;152:1423-33.

27. Weyrauch KF. Malpractice, patient satisfaction and physician-patient communication. Letter. JAMA 1995;274:22-4.

28. Levinson W. Physician-patient communication: a key to malpractice prevention. JAMA 1994;272:1619-20.

29. Badger LLW, deGruy FV, Hartman MA, et al. Psychosocial interest, medical interviews, and the recognition of depression. Arch Fam Med 1994;3:899-907.

30. Langewitz W, Kiss A, Schachinger H. From perception to symptom—from symptom to diagnosis: somatoform disorders as a communication phenomenon between physician and patient. J Suisse Med 1998;128:231-44.

31. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

32. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

33. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

34. Carney PA, Dietrich AJ, Eliassen MS, Owen M, Badger LW. Recognizing and managing depression in primary care: a standardized patient study. In press.

35. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. Arch Gen Psychiatry 1995;52:11-9.

36. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

37. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

38. Templeton B, McDonald M. Use of interactional analysis in assessing physician trainee interpersonal skills. In: Lloyd JD, ed. Evaluation of noncognitive skills and clinical performance. Chicago, Ill: American Board of Medical Specialities; 1982;155-67.

39. Templeton B, Allen MM. Interrater reliabillity in evaluating trainee interviewing skills. Acad Psychiatry 1990;14:188-96.

40. Marvel MK, Epstein RM, Flowers K, Beckman HB. Soliciting the patient’s agenda: have we improved? JAMA 1999;281:283-7.

Author and Disclosure Information

 

Patricia A. Carney, PhD
Scottie M. Eliassen, MS
George L. Wolford, PhD
Mary Owen, MD
Lee W. Badger, PhD
Allen J. Dietrich, MD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999. From the Department of Community and Family Medicine, Dartmouth Medical School (P.A.C., M.S.E., A.J.D.) and the Department of Psychology (G.L.W.), Dartmouth College, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Dr, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

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The Journal of Family Practice - 48(12)
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Patricia A. Carney, PhD
Scottie M. Eliassen, MS
George L. Wolford, PhD
Mary Owen, MD
Lee W. Badger, PhD
Allen J. Dietrich, MD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999. From the Department of Community and Family Medicine, Dartmouth Medical School (P.A.C., M.S.E., A.J.D.) and the Department of Psychology (G.L.W.), Dartmouth College, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Dr, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

Author and Disclosure Information

 

Patricia A. Carney, PhD
Scottie M. Eliassen, MS
George L. Wolford, PhD
Mary Owen, MD
Lee W. Badger, PhD
Allen J. Dietrich, MD
Hanover, New Hampshire; Seattle, Washington; and Tuscaloosa, Alabama
Submitted, revised, September 3, 1999. From the Department of Community and Family Medicine, Dartmouth Medical School (P.A.C., M.S.E., A.J.D.) and the Department of Psychology (G.L.W.), Dartmouth College, Hanover; the Department of Medicine, University of Washington, Seattle (M.O.); and the School of Social Work, University of Alabama, Tuscaloosa (L.W.B.). Dr Badger is now associated with the Graduate School of Social Service, Fordham University, New York, NY. Reprint requests should be addressed to Patricia A. Carney, PhD, Dartmouth Medical School, 1 Medical Center Dr, HB 7925, Lebanon, NH 03756. E-mail: Patricia.Carney@dartmouth.edu.

 

BACKGROUND: The relationship between physician communication patterns and the successful recognition of depression is poorly understood.

METHODS: We used unannounced visits by actors playing standardized patients to evaluate verbal communication between primary care physicians and a patient presenting with a minor depression scenario. Participants (n = 77) were assigned to receive 2 visits from a man or woman portraying a 26-year-old patient with chronic headaches who meets the criteria for minor depression. The standardized patients carried hidden audiotape recorders and high-fidelity microphones to document the encounters. The audiotapes were coded at 2-second intervals. These data were linked to information gathered from standardized patient checklists, medical records, and debriefing telephone calls with participants.

RESULTS: We obtained complete data on 59 (77%) of the physician-patient encounters; of those, 43 (73%) of the physicians recognized depression. Physicians who recognized depression asked twice as many questions about feelings and affect compared with those who did not (for feelings: 1.9% of total physician activity vs 0.9%, P = .017; for affect: composite score of 2.7% of total physician activity vs 1.3%, P = .003). We found no differences in the proportion or timing of broad to narrow questioning between those who did and did not recognize depression. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred.

CONCLUSIONS: Physicians who recognized depression differed significantly in the percentage of questions about feeling and affect, and an increase in questions about feelings may precede a diagnosis of depression, though more research is needed to establish this as an important finding.

Despite findings that the prevalence of depression symptomatology in general medical practice is comparable with hypertension and arthritis,1 several studies have found that primary care clinicians identify only half of the patients who meet the criteria for a depressive disorder.2-8 The barriers contributing to underrecognition of depression have been well documented and include the knowledge and attitudes of patients,9,10 inadequate physician training,11-13 physician attitudes,14,15 reimbursement issues,16,17 and insufficient time or other health care system factors that lead to inadequate diagnostic interviews.18-22 One area that has received relatively little attention is how physician-patient communication influences recognition of depression in primary care practice.

Communication is a core component of the physician-patient relationship. Good communication is associated with increased patient satisfaction,23 better diagnostic performance by physicians, greater patient compliance, improved health status of patients,24-26 and lower rates of malpractice litigation.27,28 Few studies have explored how physician-patient communication may influence the successful diagnosis of depression. One study29 found 2 communication behaviors that predicted successful recognition of depression, including the proportion of the interview devoted to affective interview behaviors (eg, accepting and eliciting feelings) and the use of broad open-ended psychosocial questions by the physician. Another study30 found that success in diagnosing somatiform disorders was associated with effective interdependent communication between physicians and patients. More research is needed, however, to understand how the timing of specific communication behaviors contributes to the success or failure of recognizing depression.

We conducted an exploratory study using actors portraying standardized patients to evaluate how physician communication contributes to a diagnosis of depression in primary care. We specifically explored whether successfully recognizing depression was associated with the timing and respective proportion of broad (open-ended) to narrow (close-ended) and medical to psychosocial questioning by the physicians or with the timing of questions about affect and mood. Primary care physicians are in a unique position to identify and treat the 1% to 25% of their patients with depression (of whom 5% to 9% have major depression).31-33 To identify how best to assist primary care physicians in overcoming the complicated obstacles that hinder recognizing depression, the communication process must be better understood.

Methods

Study methods for participant recruitment, scenario development, standardized patient recruitment, training and testing are described in detail elsewhere.34 In 1997, 3 study centers were selected to represent a range of primary care geographic settings. These included one center in northern New England; one in the region around Seattle, Washington; and one in northwest Alabama. Physician recruitment involved peer-to-peer contact. All study procedures were approved by the institutional review boards at the 3 study centers. Participants were informed that they would be visited twice by a standardized patient at some point during a 1-year period and that the encounters would be audiotaped to evaluate scenario replication and the accuracy of the standardized patients’ assessments of physician performance. The tapes would also be used to analyze communication patterns between the physicians and the standarized patients. Physicians were blinded to the specific study topic of depression, the dates of the visits, and the standarized patient’s age, sex, and specific clinical presentations.

 

 

Study Participants

The 77 participants represented a sample of primary care physicians serving adults in the 3 study regions. Criteria for selection of this sample included sex and specialty mix (family physicians and internists), as well as geographic accessibility. Recruitment targeted both family physicians and internists. Physicians were excluded if they had practiced at their current location for less than 1 year, their patient panel composition was less than 50% adult, they devoted less than 50% of their clinical time to primary care, they were based in a residency training site, or their practice was closed to new patients.

Case Scenarios

Four months before the first standardized patient visits, participants were assigned randomly to be visited by either a man or a woman enacting the same case scenario. The standardized patient presented with symptoms compatible with minor depression with a chief complaint of chronic headaches of 2-years’ duration, worsening during the last 3 months. The standardized patients called the practices in the study and requested an initial visit to address their presenting complaint and to establish ongoing care. They also returned as recommended for a second visit.

Medical and psychiatric faculty worked together to develop the initial case scenario. We chose this scenario because it represented a common presentation for depression in primary care: subtle mental health distress of a sufficient degree to be associated with dysfunction, as demonstrated in other studies.35 The scenario was evaluated for internal consistency and refined during guided focus groups of community physicians that were held in each study center.36

The core elements of the scenario are provided in Table 1. In the scenario, a recent move required initiation of contact with a new care provider. Insurance was described as being in transition because of a new job but was scripted not to be a barrier to care. The standarized patients paid for the encounters in cash and indicated they would submit their claims to their insurance companies on their own. No depressive symptoms were volunteered by these patients unless specifically queried. During the second visit, standardized patients reported that their symptoms were 50% better regardless of the treatment suggested at the first visit.

Instruments

An evaluation checklist (to be completed by the standardized patients) with dichotomous (yes/no) responses was developed to assess how participating physicians pursued the presenting complaints and the criteria for a depressive disorder as listed in the Diagnostic and Statistical Manual of Mental Disroders, Third Edition, Revised (DSM-III-R).37 We pilot-tested the checklist in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. The actors also used audiotape recorders with high-fidelity microphones to record the physician-patient interactions. These machines were concealed in briefcases or book bags specially adapted for this purpose. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At the end of the study, audiotapes were sent to Allegheny Medical College for interview coding using the Interaction System for Interview Evaluation (ISIE-81) originally developed by the National Board of Medical Examiners to specifically evaluate physician-patient communication when medical or surgical and psychological problems were present.38 Using ISIE-81, specially trained persons coded the audiotapes at 2-second intervals, classifying the segments into 35 subgroups of 7 major categories. Each code indicated what was occurring at that time. Interrater reliability of the ISIE-81 averages 0.84.39 The ISIE-81 categories include both physician and patient behaviors. Because ISIE-81 was developed to code videotapes rather than audiotapes, not all categories were codeable. The ISIE-81 categories we used in these analyses and their definitions are outlined in Table 2. Narrow psychosocial questions could be answered with yes, no, or another short direct answer. Broad psychosocial questions encouraged more than a short direct answer.

Implementation

Twelve actors were recruited from medical education programs that use standardized patients for teaching and evaluation. All standardized patients were within 120% of their ideal body weight, and the clothing they wore to the visits was consistent with the cases being enacted. The specifics of standardized patient training and testing are described elsewhere.34 Three weeks after the final standardized patient visit, physicians were informed that the visits had taken place. They were asked to either describe or name the patient. If the standardized patient was detected, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of the detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the physicians’ performance to a significant degree. Therefore all of the detected cases were included in the analysis. All physicians forwarded standardized patient medical records for abstraction and participated in a debriefing telephone call about their interactions with their assigned patient after both visits were completed.

 

 

Data Elements

The data elements we used in these analyses were derived from 4 sources. First, we used the demographics and practice survey completed by participants to characterize participants. Second, we used a data file composed of variables derived from the standardized patient checklist (an instrument designed to evaluate pursuit of presenting symptoms, DSM-III-R criteria, patient education, and management recommendations or decisions, which was completed by the standardized patients immediately after each encounter), and variables abstracted from the medical record to classify whether the physician was successful in recognizing depression. Any of the following indicators were used when classifying encounters as successful: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist. The third data file contained information from the debriefing telephone calls with the physicians. The final data source was the ISIE-81 coded data from the encounter dialogue.38

Data Analysis

To evaluate the use of broad questioning in either medical or psychosocial categories, we compared the proportion of the interview devoted to broad questions (ISIE-81 codes 11, 12, 31, and 32) between physicians who recognized depression and those who did not. To evaluate how the blend of broad and narrow questioning contributed to a successful diagnosis of depression, a dependent measure (DM1) was created in the analysis file that would allow comparisons of interview characteristics between physicians who recognized depression and those who did not. The DM1 consisted of the percentage of broad medical and broad psychosocial questions divided by the sum of all broad and narrow questions (total percentage). A high percentage on this measure indicated that the majority of questions asked by the physician were broad questions. Finally, we examined whether physicians interrupted patients to redirect the encounter (ISIE-81 code 16).

To evaluate how the use of affective interview behaviors contributed to the diagnosis of depression, 2 different measures were used. One was an individual ISIE-81 code (code 18, elicits feelings), which indicates physicians were asking about or commenting on patient feelings. The second measure was a composite of 3 ISIE-81 codes (DM2) including use of summary statements (code 14), asking about feelings (code 18), and showing approval (code 19). To address timing or sequencing effects in the use of broad to focused questioning, each visit was divided into quartiles and the distribution of open-ended to focused questioning was explored in each quartile. Comparisons were made by treating percentiles as means.

Descriptive statistics were used to characterize study participants and encounters. All tests comparing performance on the basis of whether depression was successfully diagnosed were 2-tailed. An a level of 0.05 was considered statistically significant, except when more than 1 test was used on the same study variable. In those cases, the a levels were set at 0.025. Independent t tests were used to compare continuous data between those who recognized depression and those who did not. Levene’s F test was used to evaluate the variance between 2 groups, and multivariate analysis of variance was used for multivariate comparisons.

Results

A total of 77 internists and family physicians who met eligibility requirements were visited by an unannounced standardized patient. Results on the use of diagnostic criteria in recognizing and managing depression are reported elsewhere.34 Depression was recognized in 79% (61 of 77) of the standardized patients. Complete ISIE-81 data were only available for 59 physicians. Transcripts were not available for 21.3% of the first visits and 28% of the second visits because of either poor sound quality of recordings or mechanical failure. When depression was recognized, it usually occurred during the first visit. Recordings of encounters varied widely in length, from 4 to 35 minutes with a mean of 14.9 minutes. Therefore in our analysis of questioning sequence, quartile length differs considerably across physicians. In some cases quartile length is very short.

We found that physicians talked almost twice as much as patients (0.44 per visit vs 0.24, P <.001). We also found that patients’ talking dominated the early portion of the encounter, while physicians’ talking dominated the latter portion. Of the 59 cases with sufficiently complete data for transcript analysis, 43 were successfully recognized as depression, and 16 were not. Forty-nine percent of the participants were from northern New England, 34% from Washington, and 17% from Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. There were no statistical differences in physician characteristics by site. The mean age of physician participants was 44.2 years; 66% were men; 64% were family physicians; and 85% were board certified. We found no differences in physician characteristics between those who did and did not recognize depression. We also found no differences in physician versus patient verbal activity over time between those who successfully recognized depression and those who did not.

 

 

In evaluating the proportion of the encounter devoted to broad questions (ISIE-81 codes 11, 12, 31, 32), we found the composite medians to be identical at 10.2% between those that did and did not recognize depression. The mean for encounters where depression was recognized was 10.5% (standard deviation [SD] = 4.0%) and was 11.3% (SD = 5.1%) in those who did not recognize depression (P = .552). The calculated measure on the ratio of broad to narrow medical and psychosocial questioning (DM1) was 79% in those who recognized depression and 82% in those who did not (P = .453). All physicians asked broad to narrow questions in a ratio of approximately 4 to 1.

On the basis of the single ISIE-81 code that indicates physicians were asking about or commenting on patient feelings (code 11), we found that physicians who recognized depression asked twice as many questions about feelings on average as those who did not recognize depression (1.9% of total physician activity vs 0.9%, P = .017). Using the composite measure of affective focus (DM2), we found physicians who recognized depression spent 2.7% of their time on the composite affective focus compared with 1.3% for physicians who did not recognize depression, a ratio of about 2 to 1 (P = .003). No instances of physicians interrupting patients to redirect the encounters occurred (ISIE-81 code 16).

On the basis of the physician debriefing telephone calls, we learned that in 60% of encounters depression was recognized immediately; in 26% depression was recognized in the middle of the first interview; and in 4% depression was recognized at the end of the first interview. Ten percent of physicians could not specifically remember when depression was recognized. In evaluating the timing or sequencing of questioning as they relate to a diagnosis of depression, we had initially hypothesized that successful recognizers would show a different pattern. However, no sequence differences related to broad to narrow questions were found between doctors who did and did not recognize depression. All physicians asked many more broad medical questions than psychosocial questions, as illustrated in Figure 1, but that difference was very marked in the first quartile and decreased as the visit went on. The interaction between quartile and medical versus psychosocial questioning was highly significant using multivariate analysis of variance (F [3,55] = 67.54; P <.001). No statistical differences existed between recognizing depression and interview quartile.

Figure 2 shows the timing of questions about patients’ feelings (ISIE code 11) as a function of whether depression was recognized and the point in the visit when depression was recognized. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred. It appears that some physicians initiated a series of questions about affect and feelings once they suspected a patient might have minor depression. Physicians who did not recognize depression spent the least amount of time asking affective questions.

Discussion

We found a high proportion (73%) of primary care physicians recognized minor depression, and when this occurred, physician self-reports indicated that it typically happened at the beginning of the encounter (60%). However, we cannot validate the physicians’ self-reports. (Though the standardized patients reported whether depression was recognized, they could not determine when in the encounter it occurred.) We found no differences in the use of broad to narrow questioning between those who successfully recognized depression and those who did not. We did find that the use of affective questioning was associated with successful recognition.

We found differences in the use of affective questioning and the timing of that questioning between those who successfully recognized depression and those who did not. Physicians who reported recognizing depression early in the encounter increased their use of affective questions as the interview progressed. This is likely because they need affective information as they consider treatment options. The curve for physicians who recognized depression in the middle of the encounter shows a marked increase of questions about feelings in the second quartile. Physicians who recognized depression late show an increase in questions about feelings in the third quartile. We did not have the appropriate design or the appropriate data to firmly attribute causality, but if questions about affect were an important contributor to a diagnosis of depression, they would be expected to closely precede the successful diagnosis. Our data are consistent with questions about affect playing an important role in the diagnosis.

Our results agree in some ways and not in others with those of Badger and colleagues,29 who found that 3 communication behaviors predicted with 60% accuracy when physicians would recognize depression and 74% accuracy when physicians would not. These included the proportion of the interview devoted to affective interview behaviors (accepts and elicits feelings, shows approval, reassures, and discloses own feelings), use of broad open-ended psychosocial questions by the physician, and when the physician did the majority of the talking. Though we found use of affective questions was associated with a diagnosis of depression, we did not find support for their finding of the use of broad to focused psychosocial questioning. We found that the majority of questions asked by physicians were broad medical questions, which likely indicates their pursuit of the patient’s presenting complaints of headache.

 

 

Results of a focus group study36 we conducted during the development phase suggested that physicians use 3 different approaches for recognizing depression, depending on patient cues. Physicians may take a biomedical approach first, where they consider depression only after possible medical conditions are ruled out. Another approach involved considering depression first, where antidepressants were used to help rule depression in. The last approach involved simultaneously addressing possible depression and pursuing any suspected medical problems. In this study, all 3 approaches were familiar to the focus group physicians. The various patterns of questioning we found associated with recognition of depression may be related to the approach physicians took in considering how to pursue the possibility of depression as part of their differential diagnoses in responding to the standardized patient scenario.

In our study, we found no instances of physicians interrupting the patient to redirect the encounter. This finding differs from those of Marvel and colleagues,40 who found in a linguistic analysis of 264 physician-patient encounters that 75.4% of physicians interrupted patients and redirected the dialogue. In that study, physicians began interrupting patients approximately 23 seconds into the encounter. Our study was restricted to encounters with a new patient, where interrupting may be less common than for established patients, where certain problems or diagnoses have already been defined.

Limitations

Our study has some limitations. Obtaining complete interview data for ISIE coding was challenging. Sound quality diminished when audiotapes were copied, which affected the amount of data we could include in our final analysis. When mechanical failures occurred during the encounters, we dropped those encounters from the analysis, since we could not determine what occurred during the missing interview segment. In addition, while unannounced standardized patients allow control for patient factors, interactions with actual patients who have depressive symptoms and established relationships with their providers may have yielded different findings.

A final issue concerns interview timing and the interpretation of findings. If the interest is in determining the type of behavior that occurs during an office visit that assists the physician in recognizing depression, it is important to distinguish the behaviors that occurred before diagnosis from the behaviors that occurred afterward. We had only physician self-report data to indicate when depression was recognized, which may have questionable validity. In any case, although it is difficult to argue that differences in communication occurring after recognition are responsible for successful recognition, it is possible that physicians’ thoughts and feelings are also responsible for successful recognition. Unfortunately, evaluating this possibility was beyond the scope of this investigation, but this is an important area for future research on this topic.

Conclusions

We found that physicians who recognized depression differed significantly in the percentage of questions they asked about feeling and affect and that an increase in questions about feelings may precede a diagnosis of depression. We found that physicians who recognized depression did not differ in their use of open-ended or close-ended questions compared with physicians who did not; the groups also did not differ in the use of medical versus psychosocial questions. Overall, these physicians spent the majority of their time asking about broad medical issues. More research is needed to verify these important findings.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

 

BACKGROUND: The relationship between physician communication patterns and the successful recognition of depression is poorly understood.

METHODS: We used unannounced visits by actors playing standardized patients to evaluate verbal communication between primary care physicians and a patient presenting with a minor depression scenario. Participants (n = 77) were assigned to receive 2 visits from a man or woman portraying a 26-year-old patient with chronic headaches who meets the criteria for minor depression. The standardized patients carried hidden audiotape recorders and high-fidelity microphones to document the encounters. The audiotapes were coded at 2-second intervals. These data were linked to information gathered from standardized patient checklists, medical records, and debriefing telephone calls with participants.

RESULTS: We obtained complete data on 59 (77%) of the physician-patient encounters; of those, 43 (73%) of the physicians recognized depression. Physicians who recognized depression asked twice as many questions about feelings and affect compared with those who did not (for feelings: 1.9% of total physician activity vs 0.9%, P = .017; for affect: composite score of 2.7% of total physician activity vs 1.3%, P = .003). We found no differences in the proportion or timing of broad to narrow questioning between those who did and did not recognize depression. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred.

CONCLUSIONS: Physicians who recognized depression differed significantly in the percentage of questions about feeling and affect, and an increase in questions about feelings may precede a diagnosis of depression, though more research is needed to establish this as an important finding.

Despite findings that the prevalence of depression symptomatology in general medical practice is comparable with hypertension and arthritis,1 several studies have found that primary care clinicians identify only half of the patients who meet the criteria for a depressive disorder.2-8 The barriers contributing to underrecognition of depression have been well documented and include the knowledge and attitudes of patients,9,10 inadequate physician training,11-13 physician attitudes,14,15 reimbursement issues,16,17 and insufficient time or other health care system factors that lead to inadequate diagnostic interviews.18-22 One area that has received relatively little attention is how physician-patient communication influences recognition of depression in primary care practice.

Communication is a core component of the physician-patient relationship. Good communication is associated with increased patient satisfaction,23 better diagnostic performance by physicians, greater patient compliance, improved health status of patients,24-26 and lower rates of malpractice litigation.27,28 Few studies have explored how physician-patient communication may influence the successful diagnosis of depression. One study29 found 2 communication behaviors that predicted successful recognition of depression, including the proportion of the interview devoted to affective interview behaviors (eg, accepting and eliciting feelings) and the use of broad open-ended psychosocial questions by the physician. Another study30 found that success in diagnosing somatiform disorders was associated with effective interdependent communication between physicians and patients. More research is needed, however, to understand how the timing of specific communication behaviors contributes to the success or failure of recognizing depression.

We conducted an exploratory study using actors portraying standardized patients to evaluate how physician communication contributes to a diagnosis of depression in primary care. We specifically explored whether successfully recognizing depression was associated with the timing and respective proportion of broad (open-ended) to narrow (close-ended) and medical to psychosocial questioning by the physicians or with the timing of questions about affect and mood. Primary care physicians are in a unique position to identify and treat the 1% to 25% of their patients with depression (of whom 5% to 9% have major depression).31-33 To identify how best to assist primary care physicians in overcoming the complicated obstacles that hinder recognizing depression, the communication process must be better understood.

Methods

Study methods for participant recruitment, scenario development, standardized patient recruitment, training and testing are described in detail elsewhere.34 In 1997, 3 study centers were selected to represent a range of primary care geographic settings. These included one center in northern New England; one in the region around Seattle, Washington; and one in northwest Alabama. Physician recruitment involved peer-to-peer contact. All study procedures were approved by the institutional review boards at the 3 study centers. Participants were informed that they would be visited twice by a standardized patient at some point during a 1-year period and that the encounters would be audiotaped to evaluate scenario replication and the accuracy of the standardized patients’ assessments of physician performance. The tapes would also be used to analyze communication patterns between the physicians and the standarized patients. Physicians were blinded to the specific study topic of depression, the dates of the visits, and the standarized patient’s age, sex, and specific clinical presentations.

 

 

Study Participants

The 77 participants represented a sample of primary care physicians serving adults in the 3 study regions. Criteria for selection of this sample included sex and specialty mix (family physicians and internists), as well as geographic accessibility. Recruitment targeted both family physicians and internists. Physicians were excluded if they had practiced at their current location for less than 1 year, their patient panel composition was less than 50% adult, they devoted less than 50% of their clinical time to primary care, they were based in a residency training site, or their practice was closed to new patients.

Case Scenarios

Four months before the first standardized patient visits, participants were assigned randomly to be visited by either a man or a woman enacting the same case scenario. The standardized patient presented with symptoms compatible with minor depression with a chief complaint of chronic headaches of 2-years’ duration, worsening during the last 3 months. The standardized patients called the practices in the study and requested an initial visit to address their presenting complaint and to establish ongoing care. They also returned as recommended for a second visit.

Medical and psychiatric faculty worked together to develop the initial case scenario. We chose this scenario because it represented a common presentation for depression in primary care: subtle mental health distress of a sufficient degree to be associated with dysfunction, as demonstrated in other studies.35 The scenario was evaluated for internal consistency and refined during guided focus groups of community physicians that were held in each study center.36

The core elements of the scenario are provided in Table 1. In the scenario, a recent move required initiation of contact with a new care provider. Insurance was described as being in transition because of a new job but was scripted not to be a barrier to care. The standarized patients paid for the encounters in cash and indicated they would submit their claims to their insurance companies on their own. No depressive symptoms were volunteered by these patients unless specifically queried. During the second visit, standardized patients reported that their symptoms were 50% better regardless of the treatment suggested at the first visit.

Instruments

An evaluation checklist (to be completed by the standardized patients) with dichotomous (yes/no) responses was developed to assess how participating physicians pursued the presenting complaints and the criteria for a depressive disorder as listed in the Diagnostic and Statistical Manual of Mental Disroders, Third Edition, Revised (DSM-III-R).37 We pilot-tested the checklist in each study center to ensure that each item was readily observable and accurately scored by the standardized patients. The actors also used audiotape recorders with high-fidelity microphones to record the physician-patient interactions. These machines were concealed in briefcases or book bags specially adapted for this purpose. After each encounter, the standardized patient completed the checklist, reviewing the audiotape when necessary.

At the end of the study, audiotapes were sent to Allegheny Medical College for interview coding using the Interaction System for Interview Evaluation (ISIE-81) originally developed by the National Board of Medical Examiners to specifically evaluate physician-patient communication when medical or surgical and psychological problems were present.38 Using ISIE-81, specially trained persons coded the audiotapes at 2-second intervals, classifying the segments into 35 subgroups of 7 major categories. Each code indicated what was occurring at that time. Interrater reliability of the ISIE-81 averages 0.84.39 The ISIE-81 categories include both physician and patient behaviors. Because ISIE-81 was developed to code videotapes rather than audiotapes, not all categories were codeable. The ISIE-81 categories we used in these analyses and their definitions are outlined in Table 2. Narrow psychosocial questions could be answered with yes, no, or another short direct answer. Broad psychosocial questions encouraged more than a short direct answer.

Implementation

Twelve actors were recruited from medical education programs that use standardized patients for teaching and evaluation. All standardized patients were within 120% of their ideal body weight, and the clothing they wore to the visits was consistent with the cases being enacted. The specifics of standardized patient training and testing are described elsewhere.34 Three weeks after the final standardized patient visit, physicians were informed that the visits had taken place. They were asked to either describe or name the patient. If the standardized patient was detected, physicians were asked when during the encounter the detection occurred. Detection occurred in 22.8% of cases. The majority of the detections occurred at the end of the second visit or in retrospect after the second visit had occurred, which likely did not influence the physicians’ performance to a significant degree. Therefore all of the detected cases were included in the analysis. All physicians forwarded standardized patient medical records for abstraction and participated in a debriefing telephone call about their interactions with their assigned patient after both visits were completed.

 

 

Data Elements

The data elements we used in these analyses were derived from 4 sources. First, we used the demographics and practice survey completed by participants to characterize participants. Second, we used a data file composed of variables derived from the standardized patient checklist (an instrument designed to evaluate pursuit of presenting symptoms, DSM-III-R criteria, patient education, and management recommendations or decisions, which was completed by the standardized patients immediately after each encounter), and variables abstracted from the medical record to classify whether the physician was successful in recognizing depression. Any of the following indicators were used when classifying encounters as successful: discussion of depression with the standardized patient, diagnosis of depression in the medical record, prescription for an antidepressant, or a recommendation for ongoing counseling with a social worker, psychiatrist, or psychologist. The third data file contained information from the debriefing telephone calls with the physicians. The final data source was the ISIE-81 coded data from the encounter dialogue.38

Data Analysis

To evaluate the use of broad questioning in either medical or psychosocial categories, we compared the proportion of the interview devoted to broad questions (ISIE-81 codes 11, 12, 31, and 32) between physicians who recognized depression and those who did not. To evaluate how the blend of broad and narrow questioning contributed to a successful diagnosis of depression, a dependent measure (DM1) was created in the analysis file that would allow comparisons of interview characteristics between physicians who recognized depression and those who did not. The DM1 consisted of the percentage of broad medical and broad psychosocial questions divided by the sum of all broad and narrow questions (total percentage). A high percentage on this measure indicated that the majority of questions asked by the physician were broad questions. Finally, we examined whether physicians interrupted patients to redirect the encounter (ISIE-81 code 16).

To evaluate how the use of affective interview behaviors contributed to the diagnosis of depression, 2 different measures were used. One was an individual ISIE-81 code (code 18, elicits feelings), which indicates physicians were asking about or commenting on patient feelings. The second measure was a composite of 3 ISIE-81 codes (DM2) including use of summary statements (code 14), asking about feelings (code 18), and showing approval (code 19). To address timing or sequencing effects in the use of broad to focused questioning, each visit was divided into quartiles and the distribution of open-ended to focused questioning was explored in each quartile. Comparisons were made by treating percentiles as means.

Descriptive statistics were used to characterize study participants and encounters. All tests comparing performance on the basis of whether depression was successfully diagnosed were 2-tailed. An a level of 0.05 was considered statistically significant, except when more than 1 test was used on the same study variable. In those cases, the a levels were set at 0.025. Independent t tests were used to compare continuous data between those who recognized depression and those who did not. Levene’s F test was used to evaluate the variance between 2 groups, and multivariate analysis of variance was used for multivariate comparisons.

Results

A total of 77 internists and family physicians who met eligibility requirements were visited by an unannounced standardized patient. Results on the use of diagnostic criteria in recognizing and managing depression are reported elsewhere.34 Depression was recognized in 79% (61 of 77) of the standardized patients. Complete ISIE-81 data were only available for 59 physicians. Transcripts were not available for 21.3% of the first visits and 28% of the second visits because of either poor sound quality of recordings or mechanical failure. When depression was recognized, it usually occurred during the first visit. Recordings of encounters varied widely in length, from 4 to 35 minutes with a mean of 14.9 minutes. Therefore in our analysis of questioning sequence, quartile length differs considerably across physicians. In some cases quartile length is very short.

We found that physicians talked almost twice as much as patients (0.44 per visit vs 0.24, P <.001). We also found that patients’ talking dominated the early portion of the encounter, while physicians’ talking dominated the latter portion. Of the 59 cases with sufficiently complete data for transcript analysis, 43 were successfully recognized as depression, and 16 were not. Forty-nine percent of the participants were from northern New England, 34% from Washington, and 17% from Alabama. Physicians from northern New England were overrepresented because of specialty and sex-specific recruitment difficulties at other sites. There were no statistical differences in physician characteristics by site. The mean age of physician participants was 44.2 years; 66% were men; 64% were family physicians; and 85% were board certified. We found no differences in physician characteristics between those who did and did not recognize depression. We also found no differences in physician versus patient verbal activity over time between those who successfully recognized depression and those who did not.

 

 

In evaluating the proportion of the encounter devoted to broad questions (ISIE-81 codes 11, 12, 31, 32), we found the composite medians to be identical at 10.2% between those that did and did not recognize depression. The mean for encounters where depression was recognized was 10.5% (standard deviation [SD] = 4.0%) and was 11.3% (SD = 5.1%) in those who did not recognize depression (P = .552). The calculated measure on the ratio of broad to narrow medical and psychosocial questioning (DM1) was 79% in those who recognized depression and 82% in those who did not (P = .453). All physicians asked broad to narrow questions in a ratio of approximately 4 to 1.

On the basis of the single ISIE-81 code that indicates physicians were asking about or commenting on patient feelings (code 11), we found that physicians who recognized depression asked twice as many questions about feelings on average as those who did not recognize depression (1.9% of total physician activity vs 0.9%, P = .017). Using the composite measure of affective focus (DM2), we found physicians who recognized depression spent 2.7% of their time on the composite affective focus compared with 1.3% for physicians who did not recognize depression, a ratio of about 2 to 1 (P = .003). No instances of physicians interrupting patients to redirect the encounters occurred (ISIE-81 code 16).

On the basis of the physician debriefing telephone calls, we learned that in 60% of encounters depression was recognized immediately; in 26% depression was recognized in the middle of the first interview; and in 4% depression was recognized at the end of the first interview. Ten percent of physicians could not specifically remember when depression was recognized. In evaluating the timing or sequencing of questioning as they relate to a diagnosis of depression, we had initially hypothesized that successful recognizers would show a different pattern. However, no sequence differences related to broad to narrow questions were found between doctors who did and did not recognize depression. All physicians asked many more broad medical questions than psychosocial questions, as illustrated in Figure 1, but that difference was very marked in the first quartile and decreased as the visit went on. The interaction between quartile and medical versus psychosocial questioning was highly significant using multivariate analysis of variance (F [3,55] = 67.54; P <.001). No statistical differences existed between recognizing depression and interview quartile.

Figure 2 shows the timing of questions about patients’ feelings (ISIE code 11) as a function of whether depression was recognized and the point in the visit when depression was recognized. Physicians who successfully recognized depression later in the interview showed an increase in questions about feelings in the quartile just before recognition occurred. It appears that some physicians initiated a series of questions about affect and feelings once they suspected a patient might have minor depression. Physicians who did not recognize depression spent the least amount of time asking affective questions.

Discussion

We found a high proportion (73%) of primary care physicians recognized minor depression, and when this occurred, physician self-reports indicated that it typically happened at the beginning of the encounter (60%). However, we cannot validate the physicians’ self-reports. (Though the standardized patients reported whether depression was recognized, they could not determine when in the encounter it occurred.) We found no differences in the use of broad to narrow questioning between those who successfully recognized depression and those who did not. We did find that the use of affective questioning was associated with successful recognition.

We found differences in the use of affective questioning and the timing of that questioning between those who successfully recognized depression and those who did not. Physicians who reported recognizing depression early in the encounter increased their use of affective questions as the interview progressed. This is likely because they need affective information as they consider treatment options. The curve for physicians who recognized depression in the middle of the encounter shows a marked increase of questions about feelings in the second quartile. Physicians who recognized depression late show an increase in questions about feelings in the third quartile. We did not have the appropriate design or the appropriate data to firmly attribute causality, but if questions about affect were an important contributor to a diagnosis of depression, they would be expected to closely precede the successful diagnosis. Our data are consistent with questions about affect playing an important role in the diagnosis.

Our results agree in some ways and not in others with those of Badger and colleagues,29 who found that 3 communication behaviors predicted with 60% accuracy when physicians would recognize depression and 74% accuracy when physicians would not. These included the proportion of the interview devoted to affective interview behaviors (accepts and elicits feelings, shows approval, reassures, and discloses own feelings), use of broad open-ended psychosocial questions by the physician, and when the physician did the majority of the talking. Though we found use of affective questions was associated with a diagnosis of depression, we did not find support for their finding of the use of broad to focused psychosocial questioning. We found that the majority of questions asked by physicians were broad medical questions, which likely indicates their pursuit of the patient’s presenting complaints of headache.

 

 

Results of a focus group study36 we conducted during the development phase suggested that physicians use 3 different approaches for recognizing depression, depending on patient cues. Physicians may take a biomedical approach first, where they consider depression only after possible medical conditions are ruled out. Another approach involved considering depression first, where antidepressants were used to help rule depression in. The last approach involved simultaneously addressing possible depression and pursuing any suspected medical problems. In this study, all 3 approaches were familiar to the focus group physicians. The various patterns of questioning we found associated with recognition of depression may be related to the approach physicians took in considering how to pursue the possibility of depression as part of their differential diagnoses in responding to the standardized patient scenario.

In our study, we found no instances of physicians interrupting the patient to redirect the encounter. This finding differs from those of Marvel and colleagues,40 who found in a linguistic analysis of 264 physician-patient encounters that 75.4% of physicians interrupted patients and redirected the dialogue. In that study, physicians began interrupting patients approximately 23 seconds into the encounter. Our study was restricted to encounters with a new patient, where interrupting may be less common than for established patients, where certain problems or diagnoses have already been defined.

Limitations

Our study has some limitations. Obtaining complete interview data for ISIE coding was challenging. Sound quality diminished when audiotapes were copied, which affected the amount of data we could include in our final analysis. When mechanical failures occurred during the encounters, we dropped those encounters from the analysis, since we could not determine what occurred during the missing interview segment. In addition, while unannounced standardized patients allow control for patient factors, interactions with actual patients who have depressive symptoms and established relationships with their providers may have yielded different findings.

A final issue concerns interview timing and the interpretation of findings. If the interest is in determining the type of behavior that occurs during an office visit that assists the physician in recognizing depression, it is important to distinguish the behaviors that occurred before diagnosis from the behaviors that occurred afterward. We had only physician self-report data to indicate when depression was recognized, which may have questionable validity. In any case, although it is difficult to argue that differences in communication occurring after recognition are responsible for successful recognition, it is possible that physicians’ thoughts and feelings are also responsible for successful recognition. Unfortunately, evaluating this possibility was beyond the scope of this investigation, but this is an important area for future research on this topic.

Conclusions

We found that physicians who recognized depression differed significantly in the percentage of questions they asked about feeling and affect and that an increase in questions about feelings may precede a diagnosis of depression. We found that physicians who recognized depression did not differ in their use of open-ended or close-ended questions compared with physicians who did not; the groups also did not differ in the use of medical versus psychosocial questions. Overall, these physicians spent the majority of their time asking about broad medical issues. More research is needed to verify these important findings.

Acknowledgment

This study was supported by the John D. and Catherine T. MacArthur Foundation.

References

 

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2. Kaaton W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;14:237-47.

3. Jancks SF. Recognition of mental distress and diagnosis of mental disorder in primary care. JAMA 1985;253:1903-7.

4. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

5. Gerber PD, Barrett J, Barrett J, Manheimer E, Whiting R, Smith R. Recognition of depression by internists in primary care: a comparison of internists and “gold standard” psychiatric assessments. J Gen Intern Med 1989;4:7-13.

6. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

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8. Coyne JC, Schwenk TL, Fechner-Bates S. Nondetection of depression by primary care physicians reconsidered. Gen Hosp Psychiatry 1995;17:3-12.

9. Robbins JM, Kirmayer LJ. Physician sensitivity to emotional and nonverbal expression and the recognition of depression and anxiety in primary care. Proceedings of the fifth annual NIMH international research conference on the classification, recognition and treatment of mental disorders in general medical settings. Bethesda, Md: National Institute of Mental Health; 1991.

10. Hirschfeld RMA, Keller MB, Panico S, et al. The National depressive and manic-depressive association consensus statement on the undertreatment of depression. 1977;277:333-9.

11. Cohen-Cole SA, Baker J, Bird J. Psychiatric education improves internists’ knowledge: a three-year randomized controlled evaluation. Psychosom Med 1993;55:212-8.

12. Kamerow DB, Pincus HA, Macdonald DI. Alcohol abuse, other drug abuse, and mental disorders in medical practice: prevalence, costs, recognition and treatment. JAMA 1996;255:2054-7.

13. el-Mallakh RS, Wright JC, Breen KJ, Lippmann SB. Cues to depression in primary care practice. Postgrad Med 1996;100:85-8,93-6.

14. Main DA, Stulp CS, Miller RS. Primary care clinician attitudes, beliefs, and training: their role in the diagnosis and management of depression. Proceedings of the sixth annual NIMH international research conference on primary care mental health research: concepts, methods, and obstacles. Bethesda, Md: National Institute of Mental Health; 1992.

15. Verhaak PFM. Variations in the diagnosis of psychosocial disorders: a general practice observation study. Soc Sci Med 1986;23:595-604.

16. Eisenberg L. Treating depression and anxiety in primary care: closing the gap between knowledge and practice. N Engl J Med 1992;326:1080-3.

17. Speilberg TE. Treating depression and anxiety in primary care. Letter. N Engl J Med 1992;327:731.-

18. Hankin J, Oktay JS. Mental disorder and primary medical care: an analytic review of the literature. Washington, DC: US Government printing office; 1979.

19. Pardes H. Future needs for psychiatrists and other mental health personnel. Arch Gen Psychiatry 1979;36:1401-8.

20. Docherty JP. Barriers to the diagnosis of depression in primary care. J Clin Psychiatry 1997;58(suppl 1):5-10.

21. Schulberg HC, Magruder KM, deGruy F. Major depression in primary medical care practice: research and future priorities. Gen Hosp Psychiatry 1996;18:395-406.

22. Cole S, Raju M. Making the diagnosis of depression in the primary care setting. Am J Med 1996;101:10S-7S.

23. Vojnovic M, Martinov-Cvejin M, Grujic V. Biosocial aspects of physician-patient communication in general practice. Medicinski Pregled 1997;50:395-8.

24. Rosenberg EE, Lussier MT, Beaudoin C. Lessons for clinicians from physician-patient communication literature. Arch Fam Med 1997;6:279-83.

25. Hall JA, Roter DL, Milburn MA, Daltroy LH. Patients’ health as a predictor of physician and patient behavior in medical visits: a synthesis of four studies. Med Care 1996;34:1205-18.

26. Stewart MA. Effective physician-patient communication and health outcomes: a review. Can Med Assoc J 1995;152:1423-33.

27. Weyrauch KF. Malpractice, patient satisfaction and physician-patient communication. Letter. JAMA 1995;274:22-4.

28. Levinson W. Physician-patient communication: a key to malpractice prevention. JAMA 1994;272:1619-20.

29. Badger LLW, deGruy FV, Hartman MA, et al. Psychosocial interest, medical interviews, and the recognition of depression. Arch Fam Med 1994;3:899-907.

30. Langewitz W, Kiss A, Schachinger H. From perception to symptom—from symptom to diagnosis: somatoform disorders as a communication phenomenon between physician and patient. J Suisse Med 1998;128:231-44.

31. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

32. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

33. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

34. Carney PA, Dietrich AJ, Eliassen MS, Owen M, Badger LW. Recognizing and managing depression in primary care: a standardized patient study. In press.

35. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. Arch Gen Psychiatry 1995;52:11-9.

36. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

37. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

38. Templeton B, McDonald M. Use of interactional analysis in assessing physician trainee interpersonal skills. In: Lloyd JD, ed. Evaluation of noncognitive skills and clinical performance. Chicago, Ill: American Board of Medical Specialities; 1982;155-67.

39. Templeton B, Allen MM. Interrater reliabillity in evaluating trainee interviewing skills. Acad Psychiatry 1990;14:188-96.

40. Marvel MK, Epstein RM, Flowers K, Beckman HB. Soliciting the patient’s agenda: have we improved? JAMA 1999;281:283-7.

References

 

1. Wells KB. Caring for depression in primary care: defining and illustrating the policy context. J Clin Psychiatry 1997;58(suppl 1):24-7.

2. Kaaton W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry 1992;14:237-47.

3. Jancks SF. Recognition of mental distress and diagnosis of mental disorder in primary care. JAMA 1985;253:1903-7.

4. Wells KB, Hays RD, Burnam A, Rogers W, Greenfield S, Ware JE. Detection of depressive disorder for patients receiving prepaid or fee-for-service care: results from the Medical Outcomes Study. JAMA 1989;262:3298-302.

5. Gerber PD, Barrett J, Barrett J, Manheimer E, Whiting R, Smith R. Recognition of depression by internists in primary care: a comparison of internists and “gold standard” psychiatric assessments. J Gen Intern Med 1989;4:7-13.

6. Higgens ES. A review of unrecognized mental illness in primary care: prevalence, natural history, and efforts to change the course. Arch Fam Med 1994;3:908-17.

7. Alarcon FJ, Isaacson JH, Franco-Bronson K. Diagnosing and treating depression in primary care patients: looking beyond physical complaints. Cleveland Clin J Med 1988;65:251-60.

8. Coyne JC, Schwenk TL, Fechner-Bates S. Nondetection of depression by primary care physicians reconsidered. Gen Hosp Psychiatry 1995;17:3-12.

9. Robbins JM, Kirmayer LJ. Physician sensitivity to emotional and nonverbal expression and the recognition of depression and anxiety in primary care. Proceedings of the fifth annual NIMH international research conference on the classification, recognition and treatment of mental disorders in general medical settings. Bethesda, Md: National Institute of Mental Health; 1991.

10. Hirschfeld RMA, Keller MB, Panico S, et al. The National depressive and manic-depressive association consensus statement on the undertreatment of depression. 1977;277:333-9.

11. Cohen-Cole SA, Baker J, Bird J. Psychiatric education improves internists’ knowledge: a three-year randomized controlled evaluation. Psychosom Med 1993;55:212-8.

12. Kamerow DB, Pincus HA, Macdonald DI. Alcohol abuse, other drug abuse, and mental disorders in medical practice: prevalence, costs, recognition and treatment. JAMA 1996;255:2054-7.

13. el-Mallakh RS, Wright JC, Breen KJ, Lippmann SB. Cues to depression in primary care practice. Postgrad Med 1996;100:85-8,93-6.

14. Main DA, Stulp CS, Miller RS. Primary care clinician attitudes, beliefs, and training: their role in the diagnosis and management of depression. Proceedings of the sixth annual NIMH international research conference on primary care mental health research: concepts, methods, and obstacles. Bethesda, Md: National Institute of Mental Health; 1992.

15. Verhaak PFM. Variations in the diagnosis of psychosocial disorders: a general practice observation study. Soc Sci Med 1986;23:595-604.

16. Eisenberg L. Treating depression and anxiety in primary care: closing the gap between knowledge and practice. N Engl J Med 1992;326:1080-3.

17. Speilberg TE. Treating depression and anxiety in primary care. Letter. N Engl J Med 1992;327:731.-

18. Hankin J, Oktay JS. Mental disorder and primary medical care: an analytic review of the literature. Washington, DC: US Government printing office; 1979.

19. Pardes H. Future needs for psychiatrists and other mental health personnel. Arch Gen Psychiatry 1979;36:1401-8.

20. Docherty JP. Barriers to the diagnosis of depression in primary care. J Clin Psychiatry 1997;58(suppl 1):5-10.

21. Schulberg HC, Magruder KM, deGruy F. Major depression in primary medical care practice: research and future priorities. Gen Hosp Psychiatry 1996;18:395-406.

22. Cole S, Raju M. Making the diagnosis of depression in the primary care setting. Am J Med 1996;101:10S-7S.

23. Vojnovic M, Martinov-Cvejin M, Grujic V. Biosocial aspects of physician-patient communication in general practice. Medicinski Pregled 1997;50:395-8.

24. Rosenberg EE, Lussier MT, Beaudoin C. Lessons for clinicians from physician-patient communication literature. Arch Fam Med 1997;6:279-83.

25. Hall JA, Roter DL, Milburn MA, Daltroy LH. Patients’ health as a predictor of physician and patient behavior in medical visits: a synthesis of four studies. Med Care 1996;34:1205-18.

26. Stewart MA. Effective physician-patient communication and health outcomes: a review. Can Med Assoc J 1995;152:1423-33.

27. Weyrauch KF. Malpractice, patient satisfaction and physician-patient communication. Letter. JAMA 1995;274:22-4.

28. Levinson W. Physician-patient communication: a key to malpractice prevention. JAMA 1994;272:1619-20.

29. Badger LLW, deGruy FV, Hartman MA, et al. Psychosocial interest, medical interviews, and the recognition of depression. Arch Fam Med 1994;3:899-907.

30. Langewitz W, Kiss A, Schachinger H. From perception to symptom—from symptom to diagnosis: somatoform disorders as a communication phenomenon between physician and patient. J Suisse Med 1998;128:231-44.

31. Barrett JE, Barrett JA, Oxman TE, Gerber PD. The prevalence of psychiatric disorders in a primary care practice. Arch Gen Psychiatry 1998;45:1100-6.

32. Katon W. Epidemiology of depression in medical care. Int J Psychiatry Med 1987;17:93-112.

33. Coyne JC, Fechner-Bates S, Schwenk TL. The prevalence, nature and co-morbidity of depressive disorders in primary care. Gen Hosp Psychiatry 1994;16:267-76.

34. Carney PA, Dietrich AJ, Eliassen MS, Owen M, Badger LW. Recognizing and managing depression in primary care: a standardized patient study. In press.

35. Hays RD, Wells KB, Sherbourne CD, Rogers W, Spritzer K. Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. Arch Gen Psychiatry 1995;52:11-9.

36. Carney PA, Rhodes LA, Eliassen MS, et al. Variations in approaching the diagnosis of depression: a guided focus group study. J Fam Pract 1998;46:73-82.

37. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 3rd ed. Revised. Washington, DC: American Psychiatric Press; 1987.

38. Templeton B, McDonald M. Use of interactional analysis in assessing physician trainee interpersonal skills. In: Lloyd JD, ed. Evaluation of noncognitive skills and clinical performance. Chicago, Ill: American Board of Medical Specialities; 1982;155-67.

39. Templeton B, Allen MM. Interrater reliabillity in evaluating trainee interviewing skills. Acad Psychiatry 1990;14:188-96.

40. Marvel MK, Epstein RM, Flowers K, Beckman HB. Soliciting the patient’s agenda: have we improved? JAMA 1999;281:283-7.

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