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Linked Data Analysis of Dually Eligible Beneficiaries in New England
Analysis of linked Medicare/Medicaid data files from four New England States (Connecticut, Maine, Massachusetts, and New Hampshire) confirm that dually eligible beneficiaries used a disproportionate amount of both Medicare and Medicaid resources in 1995, driven largely by the significant subset of t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CENTERS for MEDICARE & MEDICAID SERVICES
1998
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194530/ https://www.ncbi.nlm.nih.gov/pubmed/25372133 |
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author | Saucier, Paul Bezanson, Lee Booth, Maureen Bratesman, Stuart Fralich, Julie T. Gilden, Daniel Goldstein, Elaina K. O'Connor, Darlene Perrone, Christopher V. Willrich, Katharine K. |
author_facet | Saucier, Paul Bezanson, Lee Booth, Maureen Bratesman, Stuart Fralich, Julie T. Gilden, Daniel Goldstein, Elaina K. O'Connor, Darlene Perrone, Christopher V. Willrich, Katharine K. |
author_sort | Saucier, Paul |
collection | PubMed |
description | Analysis of linked Medicare/Medicaid data files from four New England States (Connecticut, Maine, Massachusetts, and New Hampshire) confirm that dually eligible beneficiaries used a disproportionate amount of both Medicare and Medicaid resources in 1995, driven largely by the significant subset of the population that used institutional long-term care (LTC). If States and the Federal Government are successful in developing approaches to dually eligible beneficiaries that reduce the use of institutional LTC, overall public costs per person could decline while Federal costs remained constant, and beneficiaries could have a greater selection of community-based options and experience greater satisfaction. |
format | Online Article Text |
id | pubmed-4194530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41945302014-11-04 Linked Data Analysis of Dually Eligible Beneficiaries in New England Saucier, Paul Bezanson, Lee Booth, Maureen Bratesman, Stuart Fralich, Julie T. Gilden, Daniel Goldstein, Elaina K. O'Connor, Darlene Perrone, Christopher V. Willrich, Katharine K. Health Care Financ Rev Research Article Analysis of linked Medicare/Medicaid data files from four New England States (Connecticut, Maine, Massachusetts, and New Hampshire) confirm that dually eligible beneficiaries used a disproportionate amount of both Medicare and Medicaid resources in 1995, driven largely by the significant subset of the population that used institutional long-term care (LTC). If States and the Federal Government are successful in developing approaches to dually eligible beneficiaries that reduce the use of institutional LTC, overall public costs per person could decline while Federal costs remained constant, and beneficiaries could have a greater selection of community-based options and experience greater satisfaction. CENTERS for MEDICARE & MEDICAID SERVICES 1998 /pmc/articles/PMC4194530/ /pubmed/25372133 Text en |
spellingShingle | Research Article Saucier, Paul Bezanson, Lee Booth, Maureen Bratesman, Stuart Fralich, Julie T. Gilden, Daniel Goldstein, Elaina K. O'Connor, Darlene Perrone, Christopher V. Willrich, Katharine K. Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title | Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title_full | Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title_fullStr | Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title_full_unstemmed | Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title_short | Linked Data Analysis of Dually Eligible Beneficiaries in New England |
title_sort | linked data analysis of dually eligible beneficiaries in new england |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194530/ https://www.ncbi.nlm.nih.gov/pubmed/25372133 |
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