{"title":"老年人住院期间股骨近端骨折的相关因素:一项横断面研究。","authors":"Mutsuko Moriwaki, Asuka Takae, Mikayo Toba, Miki Sasaki, Yasuko Ogata, Satoshi Obayashi, Masayuki Kakehashi, Kiyohide Fushimi","doi":"10.1136/bmjqs-2023-016865","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Proximal femoral fractures in older adults affect prognosis, quality of life and medical expenses. Therefore, identifying patients with an elevated risk for proximal femoral fractures and implementing preventive measures to mitigate their occurrence are crucial.</p><p><strong>Objective: </strong>This study aimed to develop an accurate in-hospital fracture prediction model that considers patients' daily conditions and medical procedure status. Additionally, it investigated the changes in their conditions associated with fractures during hospital stays.</p><p><strong>Design: </strong>A retrospective observational study.</p><p><strong>Settings: </strong>Acute care hospitals in Japan.</p><p><strong>Participants: </strong>Participants were 8 514 551 patients from 1321 medical facilities who had been discharged between April 2018 and March 2021 with hip and proximal femoral fractures.</p><p><strong>Methods: </strong>Logistic regression analysis determined the association between patients' changes in their ability to transfer at admission and the day before fracture, and proximal femoral fracture during hospital stays.</p><p><strong>Results: </strong>Patients were classified into fracture and non-fracture groups. The mean ages were 77.4 (SD: 7.7) and 82.6 (SD: 7.8), and the percentages of women were 42.7% and 65.3% in the non-fracture and fracture groups (p<0.01), respectively. Model 4 showed that even if a patient required partial assistance with transfer on the day before the fracture, the fracture risk increased in each category of change in ability to transfer in the following order: 'declined', 'improved' and 'no change'.</p><p><strong>Conclusions: </strong>Patients showing improved ability to transfer during their hospitalisation are at a higher risk for fractures. Monitoring patients' daily conditions and tracking changes can help prevent fractures during their hospital stays.</p>","PeriodicalId":9077,"journal":{"name":"BMJ Quality & Safety","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors associated with proximal femoral fractures in older adults during hospital stay: a cross-sectional study.\",\"authors\":\"Mutsuko Moriwaki, Asuka Takae, Mikayo Toba, Miki Sasaki, Yasuko Ogata, Satoshi Obayashi, Masayuki Kakehashi, Kiyohide Fushimi\",\"doi\":\"10.1136/bmjqs-2023-016865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Proximal femoral fractures in older adults affect prognosis, quality of life and medical expenses. Therefore, identifying patients with an elevated risk for proximal femoral fractures and implementing preventive measures to mitigate their occurrence are crucial.</p><p><strong>Objective: </strong>This study aimed to develop an accurate in-hospital fracture prediction model that considers patients' daily conditions and medical procedure status. Additionally, it investigated the changes in their conditions associated with fractures during hospital stays.</p><p><strong>Design: </strong>A retrospective observational study.</p><p><strong>Settings: </strong>Acute care hospitals in Japan.</p><p><strong>Participants: </strong>Participants were 8 514 551 patients from 1321 medical facilities who had been discharged between April 2018 and March 2021 with hip and proximal femoral fractures.</p><p><strong>Methods: </strong>Logistic regression analysis determined the association between patients' changes in their ability to transfer at admission and the day before fracture, and proximal femoral fracture during hospital stays.</p><p><strong>Results: </strong>Patients were classified into fracture and non-fracture groups. The mean ages were 77.4 (SD: 7.7) and 82.6 (SD: 7.8), and the percentages of women were 42.7% and 65.3% in the non-fracture and fracture groups (p<0.01), respectively. Model 4 showed that even if a patient required partial assistance with transfer on the day before the fracture, the fracture risk increased in each category of change in ability to transfer in the following order: 'declined', 'improved' and 'no change'.</p><p><strong>Conclusions: </strong>Patients showing improved ability to transfer during their hospitalisation are at a higher risk for fractures. Monitoring patients' daily conditions and tracking changes can help prevent fractures during their hospital stays.</p>\",\"PeriodicalId\":9077,\"journal\":{\"name\":\"BMJ Quality & Safety\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Quality & Safety\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjqs-2023-016865\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Quality & Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjqs-2023-016865","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Factors associated with proximal femoral fractures in older adults during hospital stay: a cross-sectional study.
Background: Proximal femoral fractures in older adults affect prognosis, quality of life and medical expenses. Therefore, identifying patients with an elevated risk for proximal femoral fractures and implementing preventive measures to mitigate their occurrence are crucial.
Objective: This study aimed to develop an accurate in-hospital fracture prediction model that considers patients' daily conditions and medical procedure status. Additionally, it investigated the changes in their conditions associated with fractures during hospital stays.
Design: A retrospective observational study.
Settings: Acute care hospitals in Japan.
Participants: Participants were 8 514 551 patients from 1321 medical facilities who had been discharged between April 2018 and March 2021 with hip and proximal femoral fractures.
Methods: Logistic regression analysis determined the association between patients' changes in their ability to transfer at admission and the day before fracture, and proximal femoral fracture during hospital stays.
Results: Patients were classified into fracture and non-fracture groups. The mean ages were 77.4 (SD: 7.7) and 82.6 (SD: 7.8), and the percentages of women were 42.7% and 65.3% in the non-fracture and fracture groups (p<0.01), respectively. Model 4 showed that even if a patient required partial assistance with transfer on the day before the fracture, the fracture risk increased in each category of change in ability to transfer in the following order: 'declined', 'improved' and 'no change'.
Conclusions: Patients showing improved ability to transfer during their hospitalisation are at a higher risk for fractures. Monitoring patients' daily conditions and tracking changes can help prevent fractures during their hospital stays.
期刊介绍:
BMJ Quality & Safety (previously Quality & Safety in Health Care) is an international peer review publication providing research, opinions, debates and reviews for academics, clinicians and healthcare managers focused on the quality and safety of health care and the science of improvement.
The journal receives approximately 1000 manuscripts a year and has an acceptance rate for original research of 12%. Time from submission to first decision averages 22 days and accepted articles are typically published online within 20 days. Its current impact factor is 3.281.