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Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China
PURPOSE: The purpose of this study was to analyze and compare the clinical characteristics of patients with 30-day planned and unplanned readmissions and to identify patients at high risk for unplanned readmissions. This will facilitate a better understanding of these readmissions and improve and op...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988192/ https://www.ncbi.nlm.nih.gov/pubmed/36879245 http://dx.doi.org/10.1186/s12913-023-09193-1 |
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author | Zhang, Mengjiao Liu, Siru Bi, Yongdong Liu, Jialin |
author_facet | Zhang, Mengjiao Liu, Siru Bi, Yongdong Liu, Jialin |
author_sort | Zhang, Mengjiao |
collection | PubMed |
description | PURPOSE: The purpose of this study was to analyze and compare the clinical characteristics of patients with 30-day planned and unplanned readmissions and to identify patients at high risk for unplanned readmissions. This will facilitate a better understanding of these readmissions and improve and optimize resource utilization for this patient population. METHODS: A retrospective cohort descriptive study was conducted at the West China Hospital (WCH), Sichuan University from January 1, 2015, to December 31, 2020. Discharged patients (≥ 18 years old) were divided into unplanned readmission and planned readmission groups according to 30-day readmission status. Demographic and related information was collected for each patient. Logistic regression analysis was used to assess the association between unplanned patient characteristics and the risk of readmission. RESULTS: We identified 1,118,437 patients from 1,242,496 discharged patients, including 74,494 (6.7%) 30-day planned readmissions and 9,895 (0.9%) unplanned readmissions. The most common diseases of planned readmissions were antineoplastic chemotherapy (62,756/177,749; 35.3%), radiotherapy sessions for malignancy (919/8,229; 11.2%), and systemic lupus erythematosus (607/4,620; 13.1%). The most common diseases of unplanned readmissions were antineoplastic chemotherapy (2038/177,747; 1.1%), age-related cataract (1061/21,255; 5.0%), and unspecified disorder of refraction (544/5,134; 10.6%). There were statistically significant differences between planned and unplanned readmissions in terms of patient sex, marital status, age, length of initial stay, the time between discharge, ICU stay, surgery, and health insurance. CONCLUSION: Accurate information on 30-day planned and unplanned readmissions facilitates effective planning of healthcare resource allocation. Identifying risk factors for 30-day unplanned readmissions can help develop interventions to reduce readmission rates. |
format | Online Article Text |
id | pubmed-9988192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99881922023-03-07 Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China Zhang, Mengjiao Liu, Siru Bi, Yongdong Liu, Jialin BMC Health Serv Res Research PURPOSE: The purpose of this study was to analyze and compare the clinical characteristics of patients with 30-day planned and unplanned readmissions and to identify patients at high risk for unplanned readmissions. This will facilitate a better understanding of these readmissions and improve and optimize resource utilization for this patient population. METHODS: A retrospective cohort descriptive study was conducted at the West China Hospital (WCH), Sichuan University from January 1, 2015, to December 31, 2020. Discharged patients (≥ 18 years old) were divided into unplanned readmission and planned readmission groups according to 30-day readmission status. Demographic and related information was collected for each patient. Logistic regression analysis was used to assess the association between unplanned patient characteristics and the risk of readmission. RESULTS: We identified 1,118,437 patients from 1,242,496 discharged patients, including 74,494 (6.7%) 30-day planned readmissions and 9,895 (0.9%) unplanned readmissions. The most common diseases of planned readmissions were antineoplastic chemotherapy (62,756/177,749; 35.3%), radiotherapy sessions for malignancy (919/8,229; 11.2%), and systemic lupus erythematosus (607/4,620; 13.1%). The most common diseases of unplanned readmissions were antineoplastic chemotherapy (2038/177,747; 1.1%), age-related cataract (1061/21,255; 5.0%), and unspecified disorder of refraction (544/5,134; 10.6%). There were statistically significant differences between planned and unplanned readmissions in terms of patient sex, marital status, age, length of initial stay, the time between discharge, ICU stay, surgery, and health insurance. CONCLUSION: Accurate information on 30-day planned and unplanned readmissions facilitates effective planning of healthcare resource allocation. Identifying risk factors for 30-day unplanned readmissions can help develop interventions to reduce readmission rates. BioMed Central 2023-03-06 /pmc/articles/PMC9988192/ /pubmed/36879245 http://dx.doi.org/10.1186/s12913-023-09193-1 Text en © The Author(s) 2023 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 Zhang, Mengjiao Liu, Siru Bi, Yongdong Liu, Jialin Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title | Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title_full | Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title_fullStr | Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title_full_unstemmed | Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title_short | Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China |
title_sort | comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988192/ https://www.ncbi.nlm.nih.gov/pubmed/36879245 http://dx.doi.org/10.1186/s12913-023-09193-1 |
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