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Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans
Fragmented healthcare causes information loss, duplicative tests, and unwieldy self-care regimens. These challenges may be amplified among older, high-risk patients with co-occurring mental health conditions (MHC). We compared healthcare fragmentation for chronic physical conditions among Veterans w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740954/ http://dx.doi.org/10.1093/geroni/igaa057.1202 |
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author | Trivedi, Ranak Rossi, Fernanda Javier, Sarah Greene, Liberty Singer, Sara Vanneman, Megan Goldstein, Mary Zulman, Donna |
author_facet | Trivedi, Ranak Rossi, Fernanda Javier, Sarah Greene, Liberty Singer, Sara Vanneman, Megan Goldstein, Mary Zulman, Donna |
author_sort | Trivedi, Ranak |
collection | PubMed |
description | Fragmented healthcare causes information loss, duplicative tests, and unwieldy self-care regimens. These challenges may be amplified among older, high-risk patients with co-occurring mental health conditions (MHC). We compared healthcare fragmentation for chronic physical conditions among Veterans with and without MHC (depression, PTSD, schizophrenia, bipolar disorder, anxiety, personality disorder, or psychosis based on ICD-9 codes). Sample included Veterans who were □65y, at high risk for 1-year hospitalization, and had □4 non-MHC visits during FY14. Visits were covered by Veterans Affairs (VA), VA-purchased care (both from VA Corporate Data Warehouse), or Medicare Parts A/B (claims data from VA Information Resource Center). Outcomes were two fragmentation measures calculated in FY15: 1) non-mental health provider count, where a higher number indicates more fragmentation, and 2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen provider, where a higher number indicates less fragmentation. We used Poisson regression and GLM with binomial distribution and logit link to test the association between MHC status and fragmentation, controlling for sociodemographic characteristics (e.g., age), medical comorbidity, and driving distance to VA. Of the 125,481 Veterans included, 47.3% had 1+ MHC. Compared to older, high-risk Veterans without MHC, those with MHC saw fewer providers (pseudo R2 = 0.02) and had a higher UPC (more concentrated care; OR = 1.07). Within the VA, older, high-risk Veterans with MHC do not experience greater healthcare fragmentation. Further research is needed to determine if this is due to different needs, underuse, or appropriate use of healthcare across the groups. |
format | Online Article Text |
id | pubmed-7740954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77409542020-12-21 Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans Trivedi, Ranak Rossi, Fernanda Javier, Sarah Greene, Liberty Singer, Sara Vanneman, Megan Goldstein, Mary Zulman, Donna Innov Aging Abstracts Fragmented healthcare causes information loss, duplicative tests, and unwieldy self-care regimens. These challenges may be amplified among older, high-risk patients with co-occurring mental health conditions (MHC). We compared healthcare fragmentation for chronic physical conditions among Veterans with and without MHC (depression, PTSD, schizophrenia, bipolar disorder, anxiety, personality disorder, or psychosis based on ICD-9 codes). Sample included Veterans who were □65y, at high risk for 1-year hospitalization, and had □4 non-MHC visits during FY14. Visits were covered by Veterans Affairs (VA), VA-purchased care (both from VA Corporate Data Warehouse), or Medicare Parts A/B (claims data from VA Information Resource Center). Outcomes were two fragmentation measures calculated in FY15: 1) non-mental health provider count, where a higher number indicates more fragmentation, and 2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen provider, where a higher number indicates less fragmentation. We used Poisson regression and GLM with binomial distribution and logit link to test the association between MHC status and fragmentation, controlling for sociodemographic characteristics (e.g., age), medical comorbidity, and driving distance to VA. Of the 125,481 Veterans included, 47.3% had 1+ MHC. Compared to older, high-risk Veterans without MHC, those with MHC saw fewer providers (pseudo R2 = 0.02) and had a higher UPC (more concentrated care; OR = 1.07). Within the VA, older, high-risk Veterans with MHC do not experience greater healthcare fragmentation. Further research is needed to determine if this is due to different needs, underuse, or appropriate use of healthcare across the groups. Oxford University Press 2020-12-16 /pmc/articles/PMC7740954/ http://dx.doi.org/10.1093/geroni/igaa057.1202 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Trivedi, Ranak Rossi, Fernanda Javier, Sarah Greene, Liberty Singer, Sara Vanneman, Megan Goldstein, Mary Zulman, Donna Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title | Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title_full | Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title_fullStr | Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title_full_unstemmed | Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title_short | Association Between Mental Health Conditions and Care Fragmentation: A National Study of High-Risk Older Veterans |
title_sort | association between mental health conditions and care fragmentation: a national study of high-risk older veterans |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740954/ http://dx.doi.org/10.1093/geroni/igaa057.1202 |
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