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Optimizing care coordination to address social determinants of health needs for dual-use veterans
BACKGROUND: Veterans increasingly utilize both the Veteran’s Health Administration (VA) and non-VA hospitals (dual-users). Dual-users are at increased risk of fragmented care and adverse outcomes and often do not receive necessary follow-up care addressing social determinants of health (SDOH). We de...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754195/ https://www.ncbi.nlm.nih.gov/pubmed/35022053 http://dx.doi.org/10.1186/s12913-021-07408-x |
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author | Sjoberg, Heidi Liu, Wenhui Rohs, Carly Ayele, Roman A McCreight, Marina Mayberry, Ashlea Battaglia, Catherine |
author_facet | Sjoberg, Heidi Liu, Wenhui Rohs, Carly Ayele, Roman A McCreight, Marina Mayberry, Ashlea Battaglia, Catherine |
author_sort | Sjoberg, Heidi |
collection | PubMed |
description | BACKGROUND: Veterans increasingly utilize both the Veteran’s Health Administration (VA) and non-VA hospitals (dual-users). Dual-users are at increased risk of fragmented care and adverse outcomes and often do not receive necessary follow-up care addressing social determinants of health (SDOH). We developed a Veteran-informed social worker-led Advanced Care Coordination (ACC) program to decrease fragmented care and provide longitudinal care coordination addressing SDOH for dual-users accessing non-VA emergency departments (EDs) in two communities. METHODS: ACC had four core components: 1. Notification from non-VA ED providers of Veterans’ ED visit; 2. ACC social worker completed a comprehensive assessment with the Veteran to identify SDOH needs; 3. Clinical intervention addressing SDOH up to 90 days post-ED discharge; and 4. Warm hand-off to Veteran’s VA primary care team. Data was documented in our program database. We performed propensity matching between a control group and ACC participants between 4/10/2018 – 4/1/2020 (N- = 161). A joint survival model using Markov Chain Monte Carlo technique was employed for 30-day outcomes. We performed Difference-In-Difference analyses on number of ED visits, admissions, and primary care physician (PCP) visits 120-day pre/post discharge. RESULTS: When compared to a matched control group ACC had significantly lower risk of 30-day ED visits (Hazard Ratio (HR) = 0.61, 95% Confidence Interval (CI) = (0.42, 0.92)) and a higher probability of PCP visits at 13–30 days post-ED visit (HR = 1.5, 95% CI = (1.01, 2.22)). Veterans enrolled in ACC were connected to VA PCP visits (50%), VA benefits (19%), home health care (10%), mental health and substance use treatment (7%), transportation (7%), financial assistance (5%), and homeless resources (2%). CONCLUSION: We developed and implemented a program addressing dual-users’ SDOH needs post non-VA ED discharge. Social workers connected dual-users to needed follow-up care and resources which reduced fragmentation and adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07408-x. |
format | Online Article Text |
id | pubmed-8754195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87541952022-01-13 Optimizing care coordination to address social determinants of health needs for dual-use veterans Sjoberg, Heidi Liu, Wenhui Rohs, Carly Ayele, Roman A McCreight, Marina Mayberry, Ashlea Battaglia, Catherine BMC Health Serv Res Research Article BACKGROUND: Veterans increasingly utilize both the Veteran’s Health Administration (VA) and non-VA hospitals (dual-users). Dual-users are at increased risk of fragmented care and adverse outcomes and often do not receive necessary follow-up care addressing social determinants of health (SDOH). We developed a Veteran-informed social worker-led Advanced Care Coordination (ACC) program to decrease fragmented care and provide longitudinal care coordination addressing SDOH for dual-users accessing non-VA emergency departments (EDs) in two communities. METHODS: ACC had four core components: 1. Notification from non-VA ED providers of Veterans’ ED visit; 2. ACC social worker completed a comprehensive assessment with the Veteran to identify SDOH needs; 3. Clinical intervention addressing SDOH up to 90 days post-ED discharge; and 4. Warm hand-off to Veteran’s VA primary care team. Data was documented in our program database. We performed propensity matching between a control group and ACC participants between 4/10/2018 – 4/1/2020 (N- = 161). A joint survival model using Markov Chain Monte Carlo technique was employed for 30-day outcomes. We performed Difference-In-Difference analyses on number of ED visits, admissions, and primary care physician (PCP) visits 120-day pre/post discharge. RESULTS: When compared to a matched control group ACC had significantly lower risk of 30-day ED visits (Hazard Ratio (HR) = 0.61, 95% Confidence Interval (CI) = (0.42, 0.92)) and a higher probability of PCP visits at 13–30 days post-ED visit (HR = 1.5, 95% CI = (1.01, 2.22)). Veterans enrolled in ACC were connected to VA PCP visits (50%), VA benefits (19%), home health care (10%), mental health and substance use treatment (7%), transportation (7%), financial assistance (5%), and homeless resources (2%). CONCLUSION: We developed and implemented a program addressing dual-users’ SDOH needs post non-VA ED discharge. Social workers connected dual-users to needed follow-up care and resources which reduced fragmentation and adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07408-x. BioMed Central 2022-01-12 /pmc/articles/PMC8754195/ /pubmed/35022053 http://dx.doi.org/10.1186/s12913-021-07408-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Sjoberg, Heidi Liu, Wenhui Rohs, Carly Ayele, Roman A McCreight, Marina Mayberry, Ashlea Battaglia, Catherine Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title | Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title_full | Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title_fullStr | Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title_full_unstemmed | Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title_short | Optimizing care coordination to address social determinants of health needs for dual-use veterans |
title_sort | optimizing care coordination to address social determinants of health needs for dual-use veterans |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754195/ https://www.ncbi.nlm.nih.gov/pubmed/35022053 http://dx.doi.org/10.1186/s12913-021-07408-x |
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