title: Employee choice of a high-deductible health plan across multiple employers.
abstract: OBJECTIVE
  To determine factors associated with selecting a high-deductible health plan (HDHP) rather than a preferred provider plan (PPO) and to examine switching and market segmentation after initial selection.
  
  
  METHODS
  Claims and benefit information for 2005-2007 from nine employers in western Pennsylvania first offering HDHP in 2006.
  
  
  METHODS
  We examined plan growth over time, used logistic regression to determine factors associated with choosing an HDHP, and examined the distribution of healthy and sick members across plan types.
  
  
  METHODS
  We linked employees with their dependents to determine family-level variables. We extracted risk scores, covered charges, employee age, and employee gender from claims data. We determined census-level race, education, and income information.
  
  
  RESULTS
  Health status, gender, race, and education influenced the type of individual and family policies chosen. In the second year the HDHP was offered, few employees changed plans. Risk segmentation between HDHPs and PPOs existed, but it did not increase.
  
  
  CONCLUSIONS
  When given a choice, those who are healthier are more likely to select an HDHP leading to risk segmentation. Risk segmentation did not increase in the second year that HDHPs were offered.
authors.affiliation: University of Pittsburgh, Pittsburgh, PA 15261, USA. lave@pitt.edu
authors.forename: Judith R
authors.initials: JR
authors.lastname: Lave
authors.forename: Aiju
authors.initials: A
authors.lastname: Men
authors.forename: Brian T
authors.initials: BT
authors.lastname: Day
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Yuting
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000367:Age Factors; D002755:Choice Behavior; D003669:Deductibles and Coinsurance / Q000706:statistics & numerical data*; D005260:Female; D006264:Health Benefit Plans, Employee / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D010414:Pennsylvania; D011243:Preferred Provider Organizations / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012737:Sex Factors; D012959:Socioeconomic Factors