• Erika L Moen and Bynum Julie P W JPW The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, NH, USA. D.
• Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Erika.L.Moen@dartmouth.edu.
• J Gen Intern Med. 2019 Nov 1; 34 (11): 2482-2489.

BackgroundThere is significant promise in analyzing physician patient-sharing networks to indirectly measure care coordination, yet it is unknown whether these measures reflect patients' perceptions of care coordination.ObjectiveTo evaluate the associations between network-based measures of care coordination and patient-reported experience measures.DesignWe analyzed patient-sharing physician networks within group practices using data made available by the Centers for Medicare and Medicaid Services.SubjectsMedicare beneficiaries who provided responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016 (data aggregated by physician group practice made available through the Physician Compare 2016 Group Public Reporting).Main MeasuresThe outcomes of interest were patient-reported experience measures reflecting aspects of care coordination (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for the total number of physician pairs) and clustering (the extent to which sets of three physicians share patients).Key ResultsFour hundred seventy-six groups had patient-reported measures available. Patients' perception of "Clinicians working together for your care" was significantly positively associated with both physician group practice density (Est (95 % CI) = 5.07(0.83, 9.33), p = 0.02) and clustering (Est (95 % CI) = 3.73(1.01, 6.44), p = 0.007). Physician group practice clustering was also significantly positively associated with "Getting timely care, appointments, and information" (Est (95 % CI) = 4.63(0.21, 9.06), p = 0.04).ConclusionsThis work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.

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