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Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization
U.S. Veterans Affairs (VA) patients’ multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans’ use of non-VA care, including VA-purchased care (“Community Care”) and Medicare. To examine the relationship between drive distance and time—key eligibility cr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281999/ https://www.ncbi.nlm.nih.gov/pubmed/35363189 http://dx.doi.org/10.1097/MD.0000000000028864 |
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author | Vanneman, Megan E. Yoon, Jean Singer, Sara J. Wagner, Todd H. Goldstein, Mary K. Hu, Jiaqi Boothroyd, Derek Greene, Liberty Zulman, Donna M. |
author_facet | Vanneman, Megan E. Yoon, Jean Singer, Sara J. Wagner, Todd H. Goldstein, Mary K. Hu, Jiaqi Boothroyd, Derek Greene, Liberty Zulman, Donna M. |
author_sort | Vanneman, Megan E. |
collection | PubMed |
description | U.S. Veterans Affairs (VA) patients’ multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans’ use of non-VA care, including VA-purchased care (“Community Care”) and Medicare. To examine the relationship between drive distance and time—key eligibility criteria for Community Care—and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care. Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility. Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk. Key explanatory variables were patients’ drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria). Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05–1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care. VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination. |
format | Online Article Text |
id | pubmed-9281999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-92819992022-08-02 Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization Vanneman, Megan E. Yoon, Jean Singer, Sara J. Wagner, Todd H. Goldstein, Mary K. Hu, Jiaqi Boothroyd, Derek Greene, Liberty Zulman, Donna M. Medicine (Baltimore) 5400 U.S. Veterans Affairs (VA) patients’ multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans’ use of non-VA care, including VA-purchased care (“Community Care”) and Medicare. To examine the relationship between drive distance and time—key eligibility criteria for Community Care—and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care. Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility. Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk. Key explanatory variables were patients’ drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria). Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05–1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care. VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination. Lippincott Williams & Wilkins 2022-02-18 /pmc/articles/PMC9281999/ /pubmed/35363189 http://dx.doi.org/10.1097/MD.0000000000028864 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 5400 Vanneman, Megan E. Yoon, Jean Singer, Sara J. Wagner, Todd H. Goldstein, Mary K. Hu, Jiaqi Boothroyd, Derek Greene, Liberty Zulman, Donna M. Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title | Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title_full | Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title_fullStr | Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title_full_unstemmed | Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title_short | Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization |
title_sort | anticipating va/non-va care coordination demand for veterans at high risk for hospitalization |
topic | 5400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281999/ https://www.ncbi.nlm.nih.gov/pubmed/35363189 http://dx.doi.org/10.1097/MD.0000000000028864 |
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