The Research Question Quality measurement in primary care is undermined by ambiguity There are too many measures ill-suited to assessing the true quality.

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Presentation transcript:

The Research Question Quality measurement in primary care is undermined by ambiguity There are too many measures ill-suited to assessing the true quality and value of primary care. Those focused on disease and disease-specific pathways satisfy a felt need for precise answers that avoid or ignore ambiguity. However, the majority of primary care, and the needs of those who go there, exists outside of specific diseases and diagnoses. With MACRA the focus is shifting from volume to value, with a new emphasis on quality measurement. But, within primary care how best to define quality remains a question. We need to ask the right questions, to the right people, about what quality means. Our research therefore asked: What guidance can we offer regarding the value of primary care? By what measure can we know if the care provided is good? By what measure can we learn, develop aspirations, and grow?

What the Researchers Did Web-based crowd-sourcing activity Using Survey Monkey, we surveyed three national cohorts of key stakeholders: 500 clinicians (n=4000+ survey responses), 400 patients (n=3200 survey responses), and 100 employers (n=800 survey responses). Contacted respondents through internet-based primary care networks, PBRNs, professional organization networks, patient advocacy groups, listservs, and social networks. Asked two open-ended questions: “How do you know good care when you see it?” “What questions would you ask members of a practice to know if they are helping to deliver health and wellness to their patients?” Qualitative analysis Two rounds of analysis were conducted with each data set. The first template driven approach was informed by major models of primary care delivery and measurement, and the second emergent approach was based in grounded theory. Through these analyses we identified stakeholder specific indicators associated with good care and gaps in current primary care assessment.

What the Researchers Found Only 38% overlap between common measures and clinician identified indicators associated with good care. The 62% of clinician responses not coded with common measures included concepts such as patient-physician relationships, person-centered care, patient goal oriented care, and problem recognition. Emergent coding of same dataset identified 18 indicators associated with good care. Member-checking (n=238) confirmed findings. 18 clinician identified quality indicator areas: 82% overlap b/w patient and clinician responses:

What This Means for Clinical Practice Less and more are needed to assess primary care We need to reduce the number of measures used in order to reduce administrative burden on primary care practices and clinicians. But that’s not all… Majority of current measures do not align with clinicians, patients, or employers We need to ensure quality measures assess the value of primary care as identified by key stakeholders. Significant gaps in quality measurement exist, leading to inadequate assessment and valuing of primary care. But there’s hope… Among emergent quality indicator areas, overlap was high among stakeholders Frontline clinicians and patients largely agree on what quality in primary care means. We should follow the advice of the National Academy of Medicine’s Vital Signs report suggesting that key stakeholders, rather than the usual content “experts”, be central to any effort focused on generating meaningful health care measures.