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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...

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Autores principales: Trivedi, Ranak, Rossi, Fernanda, Javier, Sarah, Greene, Liberty, Singer, Sara, Vanneman, Megan, Goldstein, Mary, Zulman, Donna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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