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Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system

BACKGROUND: Follow-up visits with clinic providers after hospital discharge may not be feasible for some patients due to functional limitations, transportation challenges, need for physical distancing, or fear of exposure especially during the current COVID-19 pandemic. METHODS: The aim of the study...

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Autores principales: Nguyen, Huong Q., Baecker, Aileen, Ho, Timothy, Huynh, Dan N., Watson, Heather L., Li, Jing, Shen, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367769/
https://www.ncbi.nlm.nih.gov/pubmed/34404408
http://dx.doi.org/10.1186/s12913-021-06848-9
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author Nguyen, Huong Q.
Baecker, Aileen
Ho, Timothy
Huynh, Dan N.
Watson, Heather L.
Li, Jing
Shen, Ernest
author_facet Nguyen, Huong Q.
Baecker, Aileen
Ho, Timothy
Huynh, Dan N.
Watson, Heather L.
Li, Jing
Shen, Ernest
author_sort Nguyen, Huong Q.
collection PubMed
description BACKGROUND: Follow-up visits with clinic providers after hospital discharge may not be feasible for some patients due to functional limitations, transportation challenges, need for physical distancing, or fear of exposure especially during the current COVID-19 pandemic. METHODS: The aim of the study was to determine the effects of post-hospital clinic (POSH) and telephone (TPOSH) follow-up provider visits versus no visit on 30-day readmission. We used a retrospective cohort design based on data from 1/1/2017 to 12/31/2019 on adult patients (n = 213,513) discharged home from 15 Kaiser Permanente Southern California hospitals. Completion of POSH or TPOSH provider visits within 7 days of discharge was the exposure and all-cause 30-day inpatient and observation stay readmission was the primary outcome. We used matching weights to balance the groups and Fine-Gray subdistribution hazard model to assess for readmission risk. RESULTS: Unweighted all-cause 30-day readmission rate was highest for patients who completed a TPOSH (17.3%) followed by no visit (14.2%), non-POSH (evaluation and management visits that were not focused on the hospitalization: 13.6%) and POSH (12.6%) visits. The matching weighted models showed that the effects of POSH and TPOSH visits varied across patient subgroups. For high risk (LACE 11+) medicine patients, both POSH (HR: 0.77, 95% CI: 0.71, 0.85, P < .001) and TPOSH (HR: 0.91, 95% CI: 0.83, 0.99, P = .03) were associated with 23 and 9% lower risk of 30-day readmission, respectively, compared to no visit. For medium to low risk medicine patients (LACE< 11) and all surgical patients regardless of LACE score or age, there were no significant associations for either visit type with risk of 30-day readmission. CONCLUSIONS: Post-hospital telephone follow-up provider visits had only modest effects on 30-day readmission in high-risk medicine patients compared to clinic visits. It remains to be determined if greater use and comfort with virtual visits by providers and patients as a result of the pandemic might improve the effectiveness of these encounters.
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spelling pubmed-83677692021-08-17 Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system Nguyen, Huong Q. Baecker, Aileen Ho, Timothy Huynh, Dan N. Watson, Heather L. Li, Jing Shen, Ernest BMC Health Serv Res Research BACKGROUND: Follow-up visits with clinic providers after hospital discharge may not be feasible for some patients due to functional limitations, transportation challenges, need for physical distancing, or fear of exposure especially during the current COVID-19 pandemic. METHODS: The aim of the study was to determine the effects of post-hospital clinic (POSH) and telephone (TPOSH) follow-up provider visits versus no visit on 30-day readmission. We used a retrospective cohort design based on data from 1/1/2017 to 12/31/2019 on adult patients (n = 213,513) discharged home from 15 Kaiser Permanente Southern California hospitals. Completion of POSH or TPOSH provider visits within 7 days of discharge was the exposure and all-cause 30-day inpatient and observation stay readmission was the primary outcome. We used matching weights to balance the groups and Fine-Gray subdistribution hazard model to assess for readmission risk. RESULTS: Unweighted all-cause 30-day readmission rate was highest for patients who completed a TPOSH (17.3%) followed by no visit (14.2%), non-POSH (evaluation and management visits that were not focused on the hospitalization: 13.6%) and POSH (12.6%) visits. The matching weighted models showed that the effects of POSH and TPOSH visits varied across patient subgroups. For high risk (LACE 11+) medicine patients, both POSH (HR: 0.77, 95% CI: 0.71, 0.85, P < .001) and TPOSH (HR: 0.91, 95% CI: 0.83, 0.99, P = .03) were associated with 23 and 9% lower risk of 30-day readmission, respectively, compared to no visit. For medium to low risk medicine patients (LACE< 11) and all surgical patients regardless of LACE score or age, there were no significant associations for either visit type with risk of 30-day readmission. CONCLUSIONS: Post-hospital telephone follow-up provider visits had only modest effects on 30-day readmission in high-risk medicine patients compared to clinic visits. It remains to be determined if greater use and comfort with virtual visits by providers and patients as a result of the pandemic might improve the effectiveness of these encounters. BioMed Central 2021-08-17 /pmc/articles/PMC8367769/ /pubmed/34404408 http://dx.doi.org/10.1186/s12913-021-06848-9 Text en © The Author(s) 2021 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
Nguyen, Huong Q.
Baecker, Aileen
Ho, Timothy
Huynh, Dan N.
Watson, Heather L.
Li, Jing
Shen, Ernest
Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title_full Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title_fullStr Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title_full_unstemmed Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title_short Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
title_sort association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367769/
https://www.ncbi.nlm.nih.gov/pubmed/34404408
http://dx.doi.org/10.1186/s12913-021-06848-9
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