title: Adjusting Pediatric Consumer Assessment of Health Plans Study (CAHPS) Scores to Ensure Fair Comparison of Health Plan Performances.
abstract: OBJECTIVE
  When comparing the scores from Consumer Assessment of Health Plans Study (CAHPS) surveys across health plans, it is important to adjust for patient characteristics (casemix) that are not under the control of the plan but that affect plan ratings. Our goal was to develop casemix models for pediatric CAHPS surveys.
  
  
  METHODS
  We analyzed responses to the pediatric CAHPS 2.0 surveys from 50,583 Medicaid beneficiaries and 43,579 persons with private health insurance. We identified patient characteristics with the most substantial impact on scores and assessed casemix models that include different combinations of adjusters. In addition, we tested whether casemix coefficients differed between the Medicaid and commercial samples and across health plans.
  
  
  RESULTS
  Parent age and education and child health status and race were important casemix adjustment variables for pediatric CAHPS surveys. Child age and gender had smaller effects. The relationship between patient characteristics and CAHPS scores was different in the Medicaid and commercial samples for some variables. The effects of a patient's characteristics on ratings and report scores were not consistent across Medicaid plans but more consistent for commercial plans.
  
  
  CONCLUSIONS
  Our analyses indicate that plan scores on the pediatric CAHPS survey should be adjusted for plan differences in casemix. Users should consider estimating separate models for Medicaid and commercially insured respondents. Such models should adjust for child health status, parent age, and parent education.
authors.affiliation: Institute for Health Policy, Massachusetts General Hospital, USA.
authors.forename: Minah
authors.initials: M
authors.lastname: Kim
authors.forename: Alan M
authors.initials: AM
authors.lastname: Zaslavsky
authors.forename: Paul D
authors.initials: PD
authors.lastname: Cleary
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003953:Diagnosis-Related Groups; D004522:Educational Status; D005006:Ethnicity; D005260:Female; D006304:Health Status; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007348:Insurance, Health / Q000706:statistics & numerical data*; D008297:Male; D006278:Medicare / Q000706:statistics & numerical data*; D008875:Middle Aged; D017060:Patient Satisfaction; D014481:United States