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HMO Enrollment and Medicaid

Survival Analysis with a Weibull Function

Bibliographic Data

ID9101402
AuthorsW Pete Welch (Urban Institute, corresponding author)
Year1988
Volume26
Issue1
Pages45-52
Publication date1988-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198801000-00005
PMID3275848
OpenAlexW2152694188
LanguageEN
Citations received1

This paper analyzes the length of enrollment in Health Maintenance Organizations (HMOs) by performing secondary data analysis. It estimates a Weibull survival function using only simple regression. For middle-class enrollees in one HMO, the hazard rate (the disenrollment rate for the remaining members of a cohort) falls sharply with the length of enrollment. For medicaid beneficiaries allowed to remain in the fee-for-service sector, the hazard rate in another HMO is much greater but falls less sharply. Limiting the choice of Medicaid beneficiaries to HMOs would increase their length of enrollment, lowering a major barrier to HMOs' participation in Medicaid

Actuarial science · Business · Cohort · Confidence interval · Economic growth · Economics · Environmental health · Hazard ratio · Health care · Limiting · Medicaid · Proportional hazards model · Demography · Engineering · Global Health Care Issues · Healthcare Policy and Management · Internal Medicine · Medicine

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    Mark C Berger, Dan A Black•The Review of Economics and…•1998

Unique citing works1
Citations per year0,04
Citation span1998 - 1998 (1)
Citation velocityhistorical
Highly citedNo

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