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The Effect of Business Operating Systems on Nursing Home Termination

Objectives: Nursing home terminations have increased worldwide due to rising costs, staffing shortages, and the coronavirus disease pandemic. However, little is known about the impact that business operating systems have on nursing home termination. Methods: This study used the National Long-term Ca...

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Autores principales: Jin, Xueying, Uda, Kazuaki, Ishimaru, Miho, Kihara, Tomomi, Sugiyama, Takehiro, Yamagishi, Kazumasa, Iso, Hiroyasu, Tamiya, Nanako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928747/
https://www.ncbi.nlm.nih.gov/pubmed/36816835
http://dx.doi.org/10.3389/ijph.2023.1605439
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author Jin, Xueying
Uda, Kazuaki
Ishimaru, Miho
Kihara, Tomomi
Sugiyama, Takehiro
Yamagishi, Kazumasa
Iso, Hiroyasu
Tamiya, Nanako
author_facet Jin, Xueying
Uda, Kazuaki
Ishimaru, Miho
Kihara, Tomomi
Sugiyama, Takehiro
Yamagishi, Kazumasa
Iso, Hiroyasu
Tamiya, Nanako
author_sort Jin, Xueying
collection PubMed
description Objectives: Nursing home terminations have increased worldwide due to rising costs, staffing shortages, and the coronavirus disease pandemic. However, little is known about the impact that business operating systems have on nursing home termination. Methods: This study used the National Long-term Care database, which comprised 7,842 operating nursing homes in January 2018. Nursing home termination was identified when nursing homes discontinued provision of long-term care services to all residents between January 2018 and December 2020. Business operating systems that were reimbursed by the LTC insurance system were the exposure of interest. The logistic regression model for nursing home termination included a series of organizational, internal, and external factors as covariates. Results: From 2018 to 2020, 83 (1.1%) nursing homes were terminated. The proportion of reimbursed nursing homes varied greatly depending on the type of business operating systems. Implementing physical function training and improving working conditions were significantly associated with a lower risk of nursing home termination. Conclusion: Financial incentives to several business operating systems are an effective way to build a sustainable environment for nursing homes to continue to exist.
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spelling pubmed-99287472023-02-16 The Effect of Business Operating Systems on Nursing Home Termination Jin, Xueying Uda, Kazuaki Ishimaru, Miho Kihara, Tomomi Sugiyama, Takehiro Yamagishi, Kazumasa Iso, Hiroyasu Tamiya, Nanako Int J Public Health Public Health Archive Objectives: Nursing home terminations have increased worldwide due to rising costs, staffing shortages, and the coronavirus disease pandemic. However, little is known about the impact that business operating systems have on nursing home termination. Methods: This study used the National Long-term Care database, which comprised 7,842 operating nursing homes in January 2018. Nursing home termination was identified when nursing homes discontinued provision of long-term care services to all residents between January 2018 and December 2020. Business operating systems that were reimbursed by the LTC insurance system were the exposure of interest. The logistic regression model for nursing home termination included a series of organizational, internal, and external factors as covariates. Results: From 2018 to 2020, 83 (1.1%) nursing homes were terminated. The proportion of reimbursed nursing homes varied greatly depending on the type of business operating systems. Implementing physical function training and improving working conditions were significantly associated with a lower risk of nursing home termination. Conclusion: Financial incentives to several business operating systems are an effective way to build a sustainable environment for nursing homes to continue to exist. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9928747/ /pubmed/36816835 http://dx.doi.org/10.3389/ijph.2023.1605439 Text en Copyright © 2023 Jin, Uda, Ishimaru, Kihara, Sugiyama, Yamagishi, Iso and Tamiya. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health Archive
Jin, Xueying
Uda, Kazuaki
Ishimaru, Miho
Kihara, Tomomi
Sugiyama, Takehiro
Yamagishi, Kazumasa
Iso, Hiroyasu
Tamiya, Nanako
The Effect of Business Operating Systems on Nursing Home Termination
title The Effect of Business Operating Systems on Nursing Home Termination
title_full The Effect of Business Operating Systems on Nursing Home Termination
title_fullStr The Effect of Business Operating Systems on Nursing Home Termination
title_full_unstemmed The Effect of Business Operating Systems on Nursing Home Termination
title_short The Effect of Business Operating Systems on Nursing Home Termination
title_sort effect of business operating systems on nursing home termination
topic Public Health Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928747/
https://www.ncbi.nlm.nih.gov/pubmed/36816835
http://dx.doi.org/10.3389/ijph.2023.1605439
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