OBJECTIVE: To evaluate measurement of physician quality performance, which is increasingly used by health plans as the basis of quality improvement, network design, and financial incentives, despite concerns about data and methodological challenges. STUDY DESIGN: Evaluation of health plan administrative claims and enrollment data. METHODS: Using administrative data from 9 health plans, we analyzed results for 27 well-accepted quality measures and evaluated how many quality events (patients eligible for a measure) were available per primary care physician and how different approaches for attributing patients to physicians affect the number of quality events per physician. RESULTS: Fifty-seven percent of primary care physicians had at least 1 patient who was eligible for at least 1 of the selected quality measures. Most physicians had few quality events for any single measure. As an example, for a measure evaluating appropriate treatment for children with upper respiratory tract infections, physicians on average had 14 quality events when care was attributed to physicians if they saw the patient at least once in the measurement year. The mean number of quality events dropped to 9 when attribution required that the physician provide care in at least 50% of a patient's visits. Few physicians had more than 30 quality events for any given measure. CONCLUSIONS: Available administrative data for a single health plan may provide insufficient information for benchmarking performance for individual physicians. Efforts are needed to develop consensus on assigning measure accountability and to expand information available for each physician, including accessing electronic clinical data, exploring composite measures of performance, and aggregating data across public and private health plans.
OBJECTIVE: To evaluate measurement of physician quality performance, which is increasingly used by health plans as the basis of quality improvement, network design, and financial incentives, despite concerns about data and methodological challenges. STUDY DESIGN: Evaluation of health plan administrative claims and enrollment data. METHODS: Using administrative data from 9 health plans, we analyzed results for 27 well-accepted quality measures and evaluated how many quality events (patients eligible for a measure) were available per primary care physician and how different approaches for attributing patients to physicians affect the number of quality events per physician. RESULTS: Fifty-seven percent of primary care physicians had at least 1 patient who was eligible for at least 1 of the selected quality measures. Most physicians had few quality events for any single measure. As an example, for a measure evaluating appropriate treatment for children with upper respiratory tract infections, physicians on average had 14 quality events when care was attributed to physicians if they saw the patient at least once in the measurement year. The mean number of quality events dropped to 9 when attribution required that the physician provide care in at least 50% of a patient's visits. Few physicians had more than 30 quality events for any given measure. CONCLUSIONS: Available administrative data for a single health plan may provide insufficient information for benchmarking performance for individual physicians. Efforts are needed to develop consensus on assigning measure accountability and to expand information available for each physician, including accessing electronic clinical data, exploring composite measures of performance, and aggregating data across public and private health plans.
Authors: Lawrence P Casalino; Arthur Elster; Andy Eisenberg; Evelyn Lewis; John Montgomery; Diana Ramos Journal: Health Aff (Millwood) Date: 2007-04-10 Impact factor: 6.301
Authors: Eve A Kerr; Dylan M Smith; Mary M Hogan; Timothy P Hofer; Sarah L Krein; Martin Bermann; Rodney A Hayward Journal: Med Care Date: 2003-10 Impact factor: 2.983
Authors: Sarah Hudson Scholle; Joachim Roski; John L Adams; Daniel L Dunn; Eve A Kerr; Donna Pillittere Dugan; Roxanne E Jensen Journal: Am J Manag Care Date: 2008-12 Impact factor: 2.229
Authors: Lisa M Kern; Yolanda Barrón; Rina V Dhopeshwarkar; Alison Edwards; Rainu Kaushal Journal: J Gen Intern Med Date: 2012-10-03 Impact factor: 5.128
Authors: Gulshan Sharma; Kathlyn E Fletcher; Dong Zhang; Yong-Fang Kuo; Jean L Freeman; James S Goodwin Journal: JAMA Date: 2009-04-22 Impact factor: 56.272