Literature DB >> 17515778

Predictors of voluntary disenrollment from Medicare managed care.

Judy H Ng1, Judith D Kasper, Christopher B Forrest, Arlene S Bierman.   

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. RESEARCH
DESIGN: 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).
CONCLUSION: 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.

Mesh:

Year:  2007        PMID: 17515778     DOI: 10.1097/MLR.0b013e31802f91a5

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  9 in total

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