title: The relationship between health plan performance measures and physician network overlap: implications for measuring plan quality.
abstract: OBJECTIVE
  To examine the extent to which health plan quality measures capture physician practice patterns rather than plan characteristics.
  
  
  METHODS
  We gathered and merged secondary data from the following four sources: a private firm that collected information on individual physicians and their health plan affiliations, The National Committee for Quality Assurance, InterStudy, and the Dartmouth Atlas.
  
  
  METHODS
  We constructed two measures of physician network overlap for all health plans in our sample and linked them to selected measures of plan performance. Two linear regression models were estimated to assess the relationship between the measures of physician network overlap and the plan performance measures.
  
  
  RESULTS
  The results indicate that in the presence of a higher degree of provider network overlap, plan performance measures tend to converge to a lower level of quality.
  
  
  CONCLUSIONS
  Standard health plan performance measures reflect physician practice patterns rather than plans' effort to improve quality. This implies that more provider-oriented measurement, such as would be possible with accountable care organizations or medical homes, may facilitate patient decision making and provide further incentives to improve performance.
authors.affiliation: The Pennsylvania State University, 504 Ford Building, University Park, PA 16802, USA. ddm12@psu.edu
authors.forename: Daniel D
authors.initials: DD
authors.lastname: Maeng
authors.forename: Dennis P
authors.initials: DP
authors.lastname: Scanlon
authors.forename: Michael E
authors.initials: ME
authors.lastname: Chernew
authors.forename: Tim
authors.initials: T
authors.lastname: Gronniger
authors.forename: Walter P
authors.initials: WP
authors.lastname: Wodchis
authors.forename: Catherine G
authors.initials: CG
authors.lastname: McLaughlin
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D019985:Benchmarking / Q000706:statistics & numerical data*; D003695:Delivery of Health Care / Q000706:statistics & numerical data; D017598:Efficiency, Organizational; D005260:Female; D006279:Health Maintenance Organizations; D018578:Hospital-Physician Relations; D006801:Humans; D007348:Insurance, Health / Q000592:standards; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015279:Organizational Culture; D010816:Physician Incentive Plans / Q000592:standards* / Q000706:statistics & numerical data; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data; D011786:Quality Control; D011787:Quality of Health Care / Q000592:standards / Q000706:statistics & numerical data; D013223:Statistics as Topic; D014481:United States; D055815:Young Adult
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