Evaluation of Physician Network-Based Measures of Care Coordination Using Medicare Patient-Reported Experience Measures
There 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.
To evaluate the associations between network-based measures of care coordination and patient-reported experience measures.
We analyzed patient-sharing physician networks within group practices using data made available by the Centers for Medicare and Medicaid Services.
Medicare 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).
The 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).
Four 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).
This 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.
KEY WORDSphysician networks network analysis care coordination Physician Compare CAHPS
The authors would like to acknowledge Andrew Schaefer for his assistance in obtaining the Census data and RUCA codes used in the analyses.
This study was supported by NIH NIA P01AG019783 and NIH NIGMS P20GM104416.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they do not have a conflict of interest.
- 1.McDonald KM, Sundaram V, Bravata DM, et al. Closing the Quality Gap: A Critical Analysis of Quality Improvement Strategies (Vol. 7: Care Coordination). 2007. https://www.ncbi.nlm.nih.gov/books/NBK44015/. Accessed October 2018.
- 15.Ong M-S, Olson KL, Chadwick L, Liu C, Mandl KD. The Impact of Provider Networks on the Co-Prescriptions of Interacting Drugs: A Claims-Based Analysis. Drug Saf 2016:1-10.Google Scholar
- 19.Csárdi G, Nepusz T. The igraph software package for complex network research. Interjournal. Complex Systems:1695.Google Scholar
- 20.R Development Core Team. R: A language and environment for statistical computing. http://www.R-project.org.