Alexander F Pimperl 1 , Hector P Rodriguez 1 , Julie A Schmittdiel 2 , Stephen M Shortell 1 Show Affiliations »
Abstract
OBJECTIVE: To identify positive deviant (PD) physician organizations of Accountable Care Organizations (ACOs) with robust performance management systems (PMSYS). DATA SOURCE: Third National Survey of Physician Organizations (NSPO3, n = 1,398). STUDY DESIGN: Organizational and external factors from NSPO3 were analyzed. DATA COLLECTION/EXTRACTION METHODS: Linear regression estimated the association of internal and contextual factors on PMSYS. Two cutpoints (75th/90th percentiles) identified PDs with the largest residuals and highest PMSYS scores. PRINCIPAL FINDINGS: A total of 65 and 41 PDs were identified using 75th and 90th percentiles cutpoints, respectively. The 90th percentile more strongly differentiated PDs from non-PDs. Having a high proportion of vulnerable patients appears to constrain PMSYS development. CONCLUSIONS: Our PD identification method increases the likelihood that PD organizations selected for in-depth inquiry are high-performing organizations that exceed expectations. © Health Research and Educational Trust.
OBJECTIVE: To identify positive deviant (PD ) physician organizations of Accountable Care Organizations (ACOs) with robust performance management systems (PMSYS). DATA SOURCE: Third National Survey of Physician Organizations (NSPO3, n = 1,398). STUDY DESIGN: Organizational and external factors from NSPO3 were analyzed. DATA COLLECTION/EXTRACTION METHODS: Linear regression estimated the association of internal and contextual factors on PMSYS. Two cutpoints (75th/90th percentiles) identified PDs with the largest residuals and highest PMSYS scores. PRINCIPAL FINDINGS: A total of 65 and 41 PDs were identified using 75th and 90th percentiles cutpoints, respectively. The 90th percentile more strongly differentiated PDs from non-PDs . Having a high proportion of vulnerable patients appears to constrain PMSYS development. CONCLUSIONS: Our PD identification method increases the likelihood that PD organizations selected for in-depth inquiry are high-performing organizations that exceed expectations. © Health Research and Educational Trust.
Entities: Chemical
Disease
Species
Keywords:
Healthcare organizations and systems; health policy/politics/law/regulation; incentives in health care; information technology in health; quality improvement/report cards (interventions); quality of care/patient safety (measurement)
Mesh： See more »
Year: 2017
PMID： 28384376 PMCID： PMC5980166 DOI： 10.1111/1475-6773.12693
Source DB: PubMed Journal: Health Serv Res ISSN： 0017-9124 Impact factor: 3.402