Sydney M. Dy

Palliative care quality indicators should be part of oncology performance assessment initiatives. Palliative care programs should also include initiatives to address the overall quality of palliative care issues, such as pain management, in the settings where the programs are located.1 Measuring quality facilitates justifying palliative care initiatives and documenting their impact, targeting quality improvement efforts, monitoring care for deficiencies, and evaluating providers (Table 1). However, measurement in this field is often not straightforward. Potential challenges include defining the population to measure and data sources, collection and analysis, as well as choosing among many potentially relevant issues and quality measures. This article describes an approach to quality measurement in palliative care, beginning with a description of key frameworks to guide the measurement approach. The article also reviews key steps in designing a quality measurement program, which include defining the quality problem and population to measure and choosing domains and specific measures. Finally, the article addresses other key considerations, such as considering unintended consequences and using data for quality improvement.

Frameworks for evaluating quality

The Donabedian framework of structure (stable elements of the health care system), process (what health care services are provided), and outcome (end results for the patient and family) can be
applied to relevant domains to guide evaluation design (Table 2).^2-8 Key structural elements may include characteristics of programs (eg, palliative clinic availability), providers (eg, multidisciplinary members of the palliative care team), and tools (eg, do-not-resuscitate policies). Processes may include technical aspects of care, such as appropriate prescribing and interpersonal aspects of care (eg, coordination among providers). Outcomes may include patient quality of life or symptoms, perceptions of care, or caregiver outcomes such as burden. Outcomes may also be categorized as overuse (eg, use of chemotherapy at the end of life compared to national benchmarks), underuse (eg, lower rates of hospice care or use of antinausea drugs), or appropriateness of care (eg, accurately documenting patients’ preferences for care).

Palliative care quality indicators should be part of oncology performance assessment initiatives. Palliative care programs should also include initiatives to address the overall quality of palliative care issues, such as pain management, in the settings where the programs are located.1 Measuring quality facilitates justifying palliative care initiatives and documenting their impact, targeting quality improvement efforts, monitoring care for deficiencies, and evaluating providers (Table 1). However, measurement in this field is often not straightforward. Potential challenges include defining the population to measure and data sources, collection and analysis, as well as choosing among many potentially relevant issues and quality measures. This article describes an approach to quality measurement in palliative care, beginning with a description of key frameworks to guide the measurement approach. The article also reviews key steps in designing a quality measurement program, which include defining the quality problem and population to measure and choosing domains and specific measures. Finally, the article addresses other key considerations, such as considering unintended consequences and using data for quality improvement.

Frameworks for evaluating quality

The Donabedian framework of structure (stable elements of the health care system), process (what health care services are provided), and outcome (end results for the patient and family) can be
applied to relevant domains to guide evaluation design (Table 2).^2-8 Key structural elements may include characteristics of programs (eg, palliative clinic availability), providers (eg, multidisciplinary members of the palliative care team), and tools (eg, do-not-resuscitate policies). Processes may include technical aspects of care, such as appropriate prescribing and interpersonal aspects of care (eg, coordination among providers). Outcomes may include patient quality of life or symptoms, perceptions of care, or caregiver outcomes such as burden. Outcomes may also be categorized as overuse (eg, use of chemotherapy at the end of life compared to national benchmarks), underuse (eg, lower rates of hospice care or use of antinausea drugs), or appropriateness of care (eg, accurately documenting patients’ preferences for care).

Palliative care quality indicators should be part of oncology performance assessment initiatives. Palliative care programs should also include initiatives to address the overall quality of palliative care issues, such as pain management, in the settings where the programs are located.1 Measuring quality facilitates justifying palliative care initiatives and documenting their impact, targeting quality improvement efforts, monitoring care for deficiencies, and evaluating providers (Table 1). However, measurement in this field is often not straightforward. Potential challenges include defining the population to measure and data sources, collection and analysis, as well as choosing among many potentially relevant issues and quality measures. This article describes an approach to quality measurement in palliative care, beginning with a description of key frameworks to guide the measurement approach. The article also reviews key steps in designing a quality measurement program, which include defining the quality problem and population to measure and choosing domains and specific measures. Finally, the article addresses other key considerations, such as considering unintended consequences and using data for quality improvement.

Frameworks for evaluating quality

The Donabedian framework of structure (stable elements of the health care system), process (what health care services are provided), and outcome (end results for the patient and family) can be
applied to relevant domains to guide evaluation design (Table 2).^2-8 Key structural elements may include characteristics of programs (eg, palliative clinic availability), providers (eg, multidisciplinary members of the palliative care team), and tools (eg, do-not-resuscitate policies). Processes may include technical aspects of care, such as appropriate prescribing and interpersonal aspects of care (eg, coordination among providers). Outcomes may include patient quality of life or symptoms, perceptions of care, or caregiver outcomes such as burden. Outcomes may also be categorized as overuse (eg, use of chemotherapy at the end of life compared to national benchmarks), underuse (eg, lower rates of hospice care or use of antinausea drugs), or appropriateness of care (eg, accurately documenting patients’ preferences for care).