title: Predictors of voluntary disenrollment from Medicare managed care.
abstract: BACKGROUND
  Prior research on selection bias in Medicare plans has demonstrated favorable enrollment of healthier beneficiaries, resulting in plan overpayment. However, total selection bias depends not only on who enrolls, but also on who disenrolls. Few studies examine selectivity in disenrollment; it is unclear how those who leave plans differ from those who remain.
  
  
  OBJECTIVE
  The examination of health status and plan characteristics as potential predictors of voluntary disenrollment from Medicare managed care.
  
  
  METHODS
  Baseline data on health of Medicare managed care enrollees are from the 1998 Medicare Health Outcomes Survey, merged with data on enrollment status and plan characteristics. Beneficiary voluntary disenrollment, versus continuous enrollment, 24 months after completing the survey was modeled as a function of perceived health in 1998 and plan characteristics. The sample included 109,882 community-dwelling elderly.
  
  
  RESULTS
  Between 1998 and 2000, 24% of Medicare managed care enrollees voluntarily disenrolled from plans. Poor perceived physical and mental health significantly increased the odds of voluntary disenrollment. Odds of disenrollment were higher for members of plans that increased premiums and had low market share between 1998 and 2000. Conversely, gaining drug coverage in a plan between 1998 and 2000 lowered the odds of disenrollment (relative to no coverage).
  
  
  CONCLUSIONS
  Medicare plans experience favorable selection bias partly because sicker members are likelier to disenroll. Plan-level policies that influence market share and benefits, particularly pharmaceutical coverage, also have important effects on disenrollment, regardless of health effects. Understanding both individual and plan influences on disenrollment is critical to benefit coverage and disenrollment restriction ("lock in") policies.
authors.affiliation: National Committee for Quality Assurance, Washington, District of Columbia 20036, USA. ng@ncqa.org
authors.forename: Judy H
authors.initials: JH
authors.lastname: Ng
authors.forename: Judith D
authors.initials: JD
authors.lastname: Kasper
authors.forename: Christopher B
authors.initials: CB
authors.lastname: Forrest
authors.forename: Arlene S
authors.initials: AS
authors.lastname: Bierman
mesh_terms: D000368:Aged; D005260:Female; D006304:Health Status; D006801:Humans; D007342:Insurance Benefits; D015273:Insurance Selection Bias; D016015:Logistic Models; D008297:Male; D008329:Managed Care Programs / Q000706:statistics & numerical data*; D020398:Medicare Part C / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D011785:Quality Assurance, Health Care / Q000706:statistics & numerical data; D014481:United States