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Estimating healthcare mobility in the Veterans Affairs Healthcare System
BACKGROUND: Healthcare mobility, defined as healthcare utilization in more than one distinct healthcare system, may have detrimental effects on outcomes of care. We characterized healthcare mobility and associated characteristics among a national sample of Veterans. METHODS: Using the Veterans Healt...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075153/ https://www.ncbi.nlm.nih.gov/pubmed/27769221 http://dx.doi.org/10.1186/s12913-016-1841-4 |
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author | Wang, Karen H. Goulet, Joseph L. Carroll, Constance M. Skanderson, Melissa Fodeh, Samah Erdos, Joseph Womack, Julie A. Abel, Erica A. Bathulapalli, Harini Justice, Amy C. Nunez-Smith, Marcella Brandt, Cynthia A. |
author_facet | Wang, Karen H. Goulet, Joseph L. Carroll, Constance M. Skanderson, Melissa Fodeh, Samah Erdos, Joseph Womack, Julie A. Abel, Erica A. Bathulapalli, Harini Justice, Amy C. Nunez-Smith, Marcella Brandt, Cynthia A. |
author_sort | Wang, Karen H. |
collection | PubMed |
description | BACKGROUND: Healthcare mobility, defined as healthcare utilization in more than one distinct healthcare system, may have detrimental effects on outcomes of care. We characterized healthcare mobility and associated characteristics among a national sample of Veterans. METHODS: Using the Veterans Health Administration Electronic Health Record, we conducted a retrospective cohort study to quantify healthcare mobility within a four year period. We examined the association between sociodemographic and clinical characteristics and healthcare mobility, and characterized possible temporal and geographic patterns of healthcare mobility. RESULTS: Approximately nine percent of the sample were healthcare mobile. Younger Veterans, divorced or separated Veterans, and those with hepatitis C virus and psychiatric disorders were more likely to be healthcare mobile. We demonstrated two possible patterns of healthcare mobility, related to specialty care and lifestyle, in which Veterans repeatedly utilized two different healthcare systems. CONCLUSIONS: Healthcare mobility is associated with young age, marital status changes, and also diseases requiring intensive management. This type of mobility may affect disease prevention and management and has implications for healthcare systems that seek to improve population health. |
format | Online Article Text |
id | pubmed-5075153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50751532016-10-27 Estimating healthcare mobility in the Veterans Affairs Healthcare System Wang, Karen H. Goulet, Joseph L. Carroll, Constance M. Skanderson, Melissa Fodeh, Samah Erdos, Joseph Womack, Julie A. Abel, Erica A. Bathulapalli, Harini Justice, Amy C. Nunez-Smith, Marcella Brandt, Cynthia A. BMC Health Serv Res Research Article BACKGROUND: Healthcare mobility, defined as healthcare utilization in more than one distinct healthcare system, may have detrimental effects on outcomes of care. We characterized healthcare mobility and associated characteristics among a national sample of Veterans. METHODS: Using the Veterans Health Administration Electronic Health Record, we conducted a retrospective cohort study to quantify healthcare mobility within a four year period. We examined the association between sociodemographic and clinical characteristics and healthcare mobility, and characterized possible temporal and geographic patterns of healthcare mobility. RESULTS: Approximately nine percent of the sample were healthcare mobile. Younger Veterans, divorced or separated Veterans, and those with hepatitis C virus and psychiatric disorders were more likely to be healthcare mobile. We demonstrated two possible patterns of healthcare mobility, related to specialty care and lifestyle, in which Veterans repeatedly utilized two different healthcare systems. CONCLUSIONS: Healthcare mobility is associated with young age, marital status changes, and also diseases requiring intensive management. This type of mobility may affect disease prevention and management and has implications for healthcare systems that seek to improve population health. BioMed Central 2016-10-21 /pmc/articles/PMC5075153/ /pubmed/27769221 http://dx.doi.org/10.1186/s12913-016-1841-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Karen H. Goulet, Joseph L. Carroll, Constance M. Skanderson, Melissa Fodeh, Samah Erdos, Joseph Womack, Julie A. Abel, Erica A. Bathulapalli, Harini Justice, Amy C. Nunez-Smith, Marcella Brandt, Cynthia A. Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title | Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title_full | Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title_fullStr | Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title_full_unstemmed | Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title_short | Estimating healthcare mobility in the Veterans Affairs Healthcare System |
title_sort | estimating healthcare mobility in the veterans affairs healthcare system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075153/ https://www.ncbi.nlm.nih.gov/pubmed/27769221 http://dx.doi.org/10.1186/s12913-016-1841-4 |
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