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Clinical Scenario
Lilly is a 15-year-old girl in her sophomore year of high school. Over the course of a month after a romantic and then a friend-group breakup, her parents have been concerned about her increasing tearfulness every day and retreat from activities to avoid social interactions with others that she once enjoyed so much. She has been missing more and more school, saying that she can’t bear to go, and staying in bed during the days, even on weekends. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment in 2 weeks with you and then again in another 2 weeks. Her parents and she tell you, “I thought she would be better by now.” You feel stuck with how to proceed in the visit. You have correctly identified the problem as depression, started the recommended evidence-based treatments, but the parents and Lilly are looking to you for something more or different. There are not many or other local resources. When and how do you all determine what “better” looks and feels like? Where do you go from here?
Metrics Can Guide Next Steps
This clinical scenario is not uncommon. As a psychiatrist consultant in primary care, I often encounter the following comment and question: “Someone isn’t feeling better. I have them taking an SSRI and doing psychotherapy. What is the next thing to do?” In discussions with supervisees and in training residents, I often say that you will know that your consultations have made a real impact on providers’ practices when these questions shift from “what’s the next medication or treatment” to a more robust baseline and follow-up inventory of symptoms via common and available metrics (PHQ9A, PSC-17 or 30, SCARED) shared with you at the start, the middle, and at other times of treatment. Such metrics can more meaningfully guide your collaborative clinical discussions and decisions.
Tracking baseline metrics and follow-up with treatment interventions is a transformative approach to clinical care. But, in primary care, it’s common that the question around mental health care may not receive the same robust screening and tracking of symptoms which have the power to more thoughtfully guide decision-making, even though this is common in other forms of patient care which have more routine use of more objective data.
Measurement-based treatment to target approaches are well-studied, but not often or always implemented. They involve providing a baseline metric (PHQ9A, Pediatric Symptom Checklist 17 or 30, GAD7, or SCARED), and tracking that metric for response over time using specific scores for decision points.
An Alternative Clinical Scenario
Consider the following alternative scenario for the above patient using a measurement-based treatment to target approach:
Lilly is a 15-year-old girl in her sophomore year of high school with symptoms concerning for depression. A PHQ9A is administered in your appointment, and she scores 20 out of 30, exceeding the threshold score for 11 for depression. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment with you in 2 weeks and then again in another 2 weeks. You obtain a PHQ9A at each appointment, and track the change with her and her parents over time.
You share with her and the family that it is common that there will be fluctuations in measurements, and you know that a score change on the PHQ9A greater than 7 is considered a clinically significant, reliable change. So, a PHQ9 score reduction from 20 to 13 would be meaningful progress. While seeking a score within the normal and non-clinical range, the progress can be tracked in a way that allows a more robust monitoring of treatment response. If the scores do not improve, you can see that and act accordingly. This way of using metrics shifts the conversation from “how are you feeling now and today” to tracking symptoms more broadly and tracking those individual symptoms over time, some of which may improve and some which may be trickier to target.
Such a way of tracking common mental health symptoms with a focus on having data at baseline and throughout treatment allows a provider to change or adapt interventions, and to not chase something that can feel ephemeral, such as “feeling happy or looking better.”
For additional information on the measurement-based treatment to target approach, there are resources that share in more depth the research informing this approach, and other and broader real ways to integrate these practices into your own visits:
- Is Treatment Working? Detecting Real Change in the Treatment of Child and Adolescent Depression
- AACAP Clinical Update: Collaborative Mental Health Care for Children and Adolescents in Primary Care
Pawlowski is a child and adolescent consulting psychiatrist. She is a division chief at the University of Vermont Medical Center where she focuses on primary care mental health integration within primary care pediatrics, internal medicine, and family medicine.
Clinical Scenario
Lilly is a 15-year-old girl in her sophomore year of high school. Over the course of a month after a romantic and then a friend-group breakup, her parents have been concerned about her increasing tearfulness every day and retreat from activities to avoid social interactions with others that she once enjoyed so much. She has been missing more and more school, saying that she can’t bear to go, and staying in bed during the days, even on weekends. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment in 2 weeks with you and then again in another 2 weeks. Her parents and she tell you, “I thought she would be better by now.” You feel stuck with how to proceed in the visit. You have correctly identified the problem as depression, started the recommended evidence-based treatments, but the parents and Lilly are looking to you for something more or different. There are not many or other local resources. When and how do you all determine what “better” looks and feels like? Where do you go from here?
Metrics Can Guide Next Steps
This clinical scenario is not uncommon. As a psychiatrist consultant in primary care, I often encounter the following comment and question: “Someone isn’t feeling better. I have them taking an SSRI and doing psychotherapy. What is the next thing to do?” In discussions with supervisees and in training residents, I often say that you will know that your consultations have made a real impact on providers’ practices when these questions shift from “what’s the next medication or treatment” to a more robust baseline and follow-up inventory of symptoms via common and available metrics (PHQ9A, PSC-17 or 30, SCARED) shared with you at the start, the middle, and at other times of treatment. Such metrics can more meaningfully guide your collaborative clinical discussions and decisions.
Tracking baseline metrics and follow-up with treatment interventions is a transformative approach to clinical care. But, in primary care, it’s common that the question around mental health care may not receive the same robust screening and tracking of symptoms which have the power to more thoughtfully guide decision-making, even though this is common in other forms of patient care which have more routine use of more objective data.
Measurement-based treatment to target approaches are well-studied, but not often or always implemented. They involve providing a baseline metric (PHQ9A, Pediatric Symptom Checklist 17 or 30, GAD7, or SCARED), and tracking that metric for response over time using specific scores for decision points.
An Alternative Clinical Scenario
Consider the following alternative scenario for the above patient using a measurement-based treatment to target approach:
Lilly is a 15-year-old girl in her sophomore year of high school with symptoms concerning for depression. A PHQ9A is administered in your appointment, and she scores 20 out of 30, exceeding the threshold score for 11 for depression. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment with you in 2 weeks and then again in another 2 weeks. You obtain a PHQ9A at each appointment, and track the change with her and her parents over time.
You share with her and the family that it is common that there will be fluctuations in measurements, and you know that a score change on the PHQ9A greater than 7 is considered a clinically significant, reliable change. So, a PHQ9 score reduction from 20 to 13 would be meaningful progress. While seeking a score within the normal and non-clinical range, the progress can be tracked in a way that allows a more robust monitoring of treatment response. If the scores do not improve, you can see that and act accordingly. This way of using metrics shifts the conversation from “how are you feeling now and today” to tracking symptoms more broadly and tracking those individual symptoms over time, some of which may improve and some which may be trickier to target.
Such a way of tracking common mental health symptoms with a focus on having data at baseline and throughout treatment allows a provider to change or adapt interventions, and to not chase something that can feel ephemeral, such as “feeling happy or looking better.”
For additional information on the measurement-based treatment to target approach, there are resources that share in more depth the research informing this approach, and other and broader real ways to integrate these practices into your own visits:
- Is Treatment Working? Detecting Real Change in the Treatment of Child and Adolescent Depression
- AACAP Clinical Update: Collaborative Mental Health Care for Children and Adolescents in Primary Care
Pawlowski is a child and adolescent consulting psychiatrist. She is a division chief at the University of Vermont Medical Center where she focuses on primary care mental health integration within primary care pediatrics, internal medicine, and family medicine.
Clinical Scenario
Lilly is a 15-year-old girl in her sophomore year of high school. Over the course of a month after a romantic and then a friend-group breakup, her parents have been concerned about her increasing tearfulness every day and retreat from activities to avoid social interactions with others that she once enjoyed so much. She has been missing more and more school, saying that she can’t bear to go, and staying in bed during the days, even on weekends. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment in 2 weeks with you and then again in another 2 weeks. Her parents and she tell you, “I thought she would be better by now.” You feel stuck with how to proceed in the visit. You have correctly identified the problem as depression, started the recommended evidence-based treatments, but the parents and Lilly are looking to you for something more or different. There are not many or other local resources. When and how do you all determine what “better” looks and feels like? Where do you go from here?
Metrics Can Guide Next Steps
This clinical scenario is not uncommon. As a psychiatrist consultant in primary care, I often encounter the following comment and question: “Someone isn’t feeling better. I have them taking an SSRI and doing psychotherapy. What is the next thing to do?” In discussions with supervisees and in training residents, I often say that you will know that your consultations have made a real impact on providers’ practices when these questions shift from “what’s the next medication or treatment” to a more robust baseline and follow-up inventory of symptoms via common and available metrics (PHQ9A, PSC-17 or 30, SCARED) shared with you at the start, the middle, and at other times of treatment. Such metrics can more meaningfully guide your collaborative clinical discussions and decisions.
Tracking baseline metrics and follow-up with treatment interventions is a transformative approach to clinical care. But, in primary care, it’s common that the question around mental health care may not receive the same robust screening and tracking of symptoms which have the power to more thoughtfully guide decision-making, even though this is common in other forms of patient care which have more routine use of more objective data.
Measurement-based treatment to target approaches are well-studied, but not often or always implemented. They involve providing a baseline metric (PHQ9A, Pediatric Symptom Checklist 17 or 30, GAD7, or SCARED), and tracking that metric for response over time using specific scores for decision points.
An Alternative Clinical Scenario
Consider the following alternative scenario for the above patient using a measurement-based treatment to target approach:
Lilly is a 15-year-old girl in her sophomore year of high school with symptoms concerning for depression. A PHQ9A is administered in your appointment, and she scores 20 out of 30, exceeding the threshold score for 11 for depression. You start her on an SSRI and recommend psychotherapy in the form of CBT offered through your office. She returns to the appointment with you in 2 weeks and then again in another 2 weeks. You obtain a PHQ9A at each appointment, and track the change with her and her parents over time.
You share with her and the family that it is common that there will be fluctuations in measurements, and you know that a score change on the PHQ9A greater than 7 is considered a clinically significant, reliable change. So, a PHQ9 score reduction from 20 to 13 would be meaningful progress. While seeking a score within the normal and non-clinical range, the progress can be tracked in a way that allows a more robust monitoring of treatment response. If the scores do not improve, you can see that and act accordingly. This way of using metrics shifts the conversation from “how are you feeling now and today” to tracking symptoms more broadly and tracking those individual symptoms over time, some of which may improve and some which may be trickier to target.
Such a way of tracking common mental health symptoms with a focus on having data at baseline and throughout treatment allows a provider to change or adapt interventions, and to not chase something that can feel ephemeral, such as “feeling happy or looking better.”
For additional information on the measurement-based treatment to target approach, there are resources that share in more depth the research informing this approach, and other and broader real ways to integrate these practices into your own visits:
- Is Treatment Working? Detecting Real Change in the Treatment of Child and Adolescent Depression
- AACAP Clinical Update: Collaborative Mental Health Care for Children and Adolescents in Primary Care
Pawlowski is a child and adolescent consulting psychiatrist. She is a division chief at the University of Vermont Medical Center where she focuses on primary care mental health integration within primary care pediatrics, internal medicine, and family medicine.