OBJECTIVE: To examine whether physicians who sought and received Bridges to Excellence (BTE) recognition performed better than similar physicians on a standardized set of population-based performance measures. STUDY DESIGN: Cross-sectional comparison of performance data. METHODS: Using a claims dataset of all commercially insured members from 6 health plans in Massachusetts, we examined population-based measures of quality and resource use for physicians recognized by the BTE programs Physician Office Link and Diabetes Care Link, compared with nonrecognized physicians in the same specialties. Differences in performance were tested using generalized linear models. RESULTS: Physician Office Link-recognized physicians performed significantly better than their nonrecognized peers on measures of cervical cancer screening, mammography, and glycosylated hemoglobin testing. Diabetes Care Link-recognized physicians performed significantly better on all 4 diabetes process measures of quality, with the largest differences observed in microalbumin screening (17.7%). Patients of Physician Office Link-recognized physicians had a significantly greater percentage of their resource use accounted for by evaluation and management services (3.4%), and a smaller percentage accounted for by facility (-1.6%), inpatient ancillary (-0.1%), and nonmanagement outpatient services (-1.0%). After adjustment for patient age and sex, and case mix, Physician Office Link-recognized physicians had significantly fewer episodes per patient (0.13) and lower resource use per episode (dollars 130), but findings were mixed for Diabetes Care Link-recognized physicians. CONCLUSIONS: Our findings suggest that the BTE approach to ascertaining physician quality identifies physicians who perform better on claims-based quality measures and primary care physicians who use a less resource-intensive practice style.
OBJECTIVE: To examine whether physicians who sought and received Bridges to Excellence (BTE) recognition performed better than similar physicians on a standardized set of population-based performance measures. STUDY DESIGN: Cross-sectional comparison of performance data. METHODS: Using a claims dataset of all commercially insured members from 6 health plans in Massachusetts, we examined population-based measures of quality and resource use for physicians recognized by the BTE programs Physician Office Link and Diabetes Care Link, compared with nonrecognized physicians in the same specialties. Differences in performance were tested using generalized linear models. RESULTS: Physician Office Link-recognized physicians performed significantly better than their nonrecognized peers on measures of cervical cancer screening, mammography, and glycosylated hemoglobin testing. Diabetes Care Link-recognized physicians performed significantly better on all 4 diabetes process measures of quality, with the largest differences observed in microalbumin screening (17.7%). Patients of Physician Office Link-recognized physicians had a significantly greater percentage of their resource use accounted for by evaluation and management services (3.4%), and a smaller percentage accounted for by facility (-1.6%), inpatient ancillary (-0.1%), and nonmanagement outpatient services (-1.0%). After adjustment for patient age and sex, and case mix, Physician Office Link-recognized physicians had significantly fewer episodes per patient (0.13) and lower resource use per episode (dollars 130), but findings were mixed for Diabetes Care Link-recognized physicians. CONCLUSIONS: Our findings suggest that the BTE approach to ascertaining physician quality identifies physicians who perform better on claims-based quality measures and primary care physicians who use a less resource-intensive practice style.
Authors: Pieter Van Herck; Delphine De Smedt; Lieven Annemans; Roy Remmen; Meredith B Rosenthal; Walter Sermeus Journal: BMC Health Serv Res Date: 2010-08-23 Impact factor: 2.655
Authors: Alison Cuellar; Lorens A Helmchen; Gilbert Gimm; Jay Want; Sriteja Burla; Bradley J Kells; Iwona Kicinger; Len M Nichols Journal: J Gen Intern Med Date: 2016-07-29 Impact factor: 5.128
Authors: Maurice Yé; Eric Diboulo; Moubassira Kagoné; Ali Sié; Rainer Sauerborn; Svetla Loukanova Journal: Glob Health Action Date: 2016-01-05 Impact factor: 2.640