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来源类型Publication
Factors Predicting Transitions from Medicare-Only to Medicare-Medicaid Enrollee Status
Wilfredo Lim; Carol V. Irvin; and Rosemary Borck
发表日期2014-01-31
出版者Washington, DC: U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation, Office of Disability, Aging and Long-Term Care Policy
出版年2014
语种英语
概述This is one volume of a two-part study to understand the rates and patterns of enrollment in Medicaid among individuals already enrolled in Medicare, the factors that predict this transition to dual coverage, and factors that predict nursing home entry. ",
摘要
  • Emergency department visits, inpatient stays, and nursing home utilization are predictive of transition to Medicare-Medicaid enrollee status.
  • Residence in a skilled nursing facility and having a dementia-related condition are predictive of entry to nursing home care not financed by the Medicare skilled nursing facility benefit. 

This study identifies factors predicting the transition to dual eligibility for Medicare and Medicaid coverage among Medicare-only beneficiaries, as well as factors predicting entry to nursing home care not financed by the Medicare skilled nursing facility benefit. Factors were identified by estimating separate multivariate logistic regression models. Emergency department visits, inpatient stays, and nursing home utilization are predictive of transition to Medicare-Medicaid enrollee status. Residence in a skilled nursing facility and having a dementia-related condition are predictive of entry to nursing home care not financed by the Medicare skilled nursing facility benefit.

URLhttps://www.mathematica.org/our-publications-and-findings/publications/factors-predicting-transitions-from-medicareonly-to-medicaremedicaid-enrollee-status
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/487630
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Wilfredo Lim,Carol V. Irvin,and Rosemary Borck. Factors Predicting Transitions from Medicare-Only to Medicare-Medicaid Enrollee Status. 2014.
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