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Hospitalization costs of injury in elderly population in China: a quantile regression analysis
BACKGROUND: Trauma in the elderly is gradually growing more prevalent as the aging population increases over time. The purpose of this study is to assess hospitalization costs of the elderly trauma population and analyze the association between those costs and the features of the elderly trauma popu...
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/PMC10013238/ https://www.ncbi.nlm.nih.gov/pubmed/36918769 http://dx.doi.org/10.1186/s12877-023-03729-0 |
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author | Ou, Wenjing Zhang, Qin He, Junlin Shao, Xinye Yang, Yang Wang, Xin |
author_facet | Ou, Wenjing Zhang, Qin He, Junlin Shao, Xinye Yang, Yang Wang, Xin |
author_sort | Ou, Wenjing |
collection | PubMed |
description | BACKGROUND: Trauma in the elderly is gradually growing more prevalent as the aging population increases over time. The purpose of this study is to assess hospitalization costs of the elderly trauma population and analyze the association between those costs and the features of the elderly trauma population. METHODS: In a retrospective analysis, data on trauma patients over 65 who were admitted to the hospital for the first time due to trauma between January 2017 and March 2022 was collected from a tertiary comprehensive hospital in Baotou. We calculated and analyzed the hospitalization cost components. According to various therapeutic approaches, trauma patients were divided into two subgroups: non-surgical patients (1320 cases) and surgical patients (387 cases). Quantile regression was used to evaluate the relationship between trauma patients and hospitalization costs. RESULTS: This study comprised 1707 trauma patients in total. Mean total hospitalization costs per patient were ¥20,741. Patients with transportation accidents incurred the highest expenditures among those with external causes of trauma, with a mean hospitalization cost of ¥24,918, followed by patients with falls at ¥19,809 on average. Hospitalization costs were dominated by medicine costs (¥7,182 per capita). According to the quantile regression results, all trauma patients' hospitalization costs were considerably increased by length of stay, surgery, the injury severity score (16–24), multimorbidity, thorax injury, and blood transfusion. For non-surgical patients, length of stay, multimorbidity, and the injury severity score (16–24) were all substantially linked to higher hospitalization costs. For surgical patients, length of stay, injury severity score (16–24), and hip and thigh injuries were significantly associated with greater hospitalization costs. CONCLUSIONS: Using quantile regression to identify factors associated with hospitalization costs could be helpful for addressing the burden of injury in the elderly population. Policymakers may find these findings to be insightful in lowering hospitalization costs related to injury in the elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03729-0. |
format | Online Article Text |
id | pubmed-10013238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100132382023-03-14 Hospitalization costs of injury in elderly population in China: a quantile regression analysis Ou, Wenjing Zhang, Qin He, Junlin Shao, Xinye Yang, Yang Wang, Xin BMC Geriatr Research BACKGROUND: Trauma in the elderly is gradually growing more prevalent as the aging population increases over time. The purpose of this study is to assess hospitalization costs of the elderly trauma population and analyze the association between those costs and the features of the elderly trauma population. METHODS: In a retrospective analysis, data on trauma patients over 65 who were admitted to the hospital for the first time due to trauma between January 2017 and March 2022 was collected from a tertiary comprehensive hospital in Baotou. We calculated and analyzed the hospitalization cost components. According to various therapeutic approaches, trauma patients were divided into two subgroups: non-surgical patients (1320 cases) and surgical patients (387 cases). Quantile regression was used to evaluate the relationship between trauma patients and hospitalization costs. RESULTS: This study comprised 1707 trauma patients in total. Mean total hospitalization costs per patient were ¥20,741. Patients with transportation accidents incurred the highest expenditures among those with external causes of trauma, with a mean hospitalization cost of ¥24,918, followed by patients with falls at ¥19,809 on average. Hospitalization costs were dominated by medicine costs (¥7,182 per capita). According to the quantile regression results, all trauma patients' hospitalization costs were considerably increased by length of stay, surgery, the injury severity score (16–24), multimorbidity, thorax injury, and blood transfusion. For non-surgical patients, length of stay, multimorbidity, and the injury severity score (16–24) were all substantially linked to higher hospitalization costs. For surgical patients, length of stay, injury severity score (16–24), and hip and thigh injuries were significantly associated with greater hospitalization costs. CONCLUSIONS: Using quantile regression to identify factors associated with hospitalization costs could be helpful for addressing the burden of injury in the elderly population. Policymakers may find these findings to be insightful in lowering hospitalization costs related to injury in the elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03729-0. BioMed Central 2023-03-14 /pmc/articles/PMC10013238/ /pubmed/36918769 http://dx.doi.org/10.1186/s12877-023-03729-0 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 Ou, Wenjing Zhang, Qin He, Junlin Shao, Xinye Yang, Yang Wang, Xin Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title | Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title_full | Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title_fullStr | Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title_full_unstemmed | Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title_short | Hospitalization costs of injury in elderly population in China: a quantile regression analysis |
title_sort | hospitalization costs of injury in elderly population in china: a quantile regression analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013238/ https://www.ncbi.nlm.nih.gov/pubmed/36918769 http://dx.doi.org/10.1186/s12877-023-03729-0 |
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