Group-based trajectories of potentially preventable hospitalisations among older adults after a hip fracture.

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Osteoporosis International Pub Date : 2024-10-01 Epub Date: 2024-07-31 DOI:10.1007/s00198-024-07203-4
Seigo Mitsutake, Reidar P Lystad, Janet C Long, Jeffrey Braithwaite, Tatsuro Ishizaki, Jacqueline Close, Rebecca Mitchell
{"title":"Group-based trajectories of potentially preventable hospitalisations among older adults after a hip fracture.","authors":"Seigo Mitsutake, Reidar P Lystad, Janet C Long, Jeffrey Braithwaite, Tatsuro Ishizaki, Jacqueline Close, Rebecca Mitchell","doi":"10.1007/s00198-024-07203-4","DOIUrl":null,"url":null,"abstract":"<p><p>Key predictors of three trajectory group membership of potentially preventable hospitalisations were age, the number of comorbidities, the presence of chronic obstructive pulmonary disease and congestive heart failure, and frailty risk at the occurrence of hip fracture. These predictors of their trajectory group could be used in targeting prevention strategies.</p><p><strong>Purpose: </strong>Although older adults with hip fracture have a higher risk of multiple readmissions after index hospitalisation, little is known about potentially preventable hospitalisations (PPH) after discharge. This study examined group-based trajectories of PPH during a five-year period after a hip fracture among older adults and identified factors predictive of their trajectory group membership.</p><p><strong>Methods: </strong>This retrospective cohort study was conducted using linked hospitalisation and mortality data in New South Wales, Australia, between 2013 and 2021. Patients aged ≥ 65 years who were admitted after a hip fracture and discharged between 2014 and 2016 were identified. Group-based trajectory models were derived based on the number of subsequent PPH following the index hospitalisation. Multinominal logistic regression examined factors predictive of trajectory group membership.</p><p><strong>Results: </strong>Three PPH trajectory groups were revealed among 17,591 patients: no PPH (89.5%), low PPH (10.0%), and high PPH (0.4%). Key predictors of PPH trajectory group membership were age, number of comorbidities, dementia, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), frailty risk, place of incident, surgery, rehabilitation, and length of hospital stay. The high PPH had a higher proportion of patients with ≥ 2 comorbidities (OR: 1.86, 95% confidence interval (CI): 1.04-3.32) and COPD (OR: 2.97, 95%CIs: 1.76-5.04) than the low PPH, and the low and high PPHs were more likely to have CHF and high frailty risk as well as ≥ 2 comorbidities and COPD than the no PPH.</p><p><strong>Conclusions: </strong>Identifying trajectories of PPH after a hip fracture and factors predictive of trajectory group membership could be used to target strategies to reduce multiple readmissions.</p>","PeriodicalId":19638,"journal":{"name":"Osteoporosis International","volume":" ","pages":"1849-1857"},"PeriodicalIF":4.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427476/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osteoporosis International","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00198-024-07203-4","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Key predictors of three trajectory group membership of potentially preventable hospitalisations were age, the number of comorbidities, the presence of chronic obstructive pulmonary disease and congestive heart failure, and frailty risk at the occurrence of hip fracture. These predictors of their trajectory group could be used in targeting prevention strategies.

Purpose: Although older adults with hip fracture have a higher risk of multiple readmissions after index hospitalisation, little is known about potentially preventable hospitalisations (PPH) after discharge. This study examined group-based trajectories of PPH during a five-year period after a hip fracture among older adults and identified factors predictive of their trajectory group membership.

Methods: This retrospective cohort study was conducted using linked hospitalisation and mortality data in New South Wales, Australia, between 2013 and 2021. Patients aged ≥ 65 years who were admitted after a hip fracture and discharged between 2014 and 2016 were identified. Group-based trajectory models were derived based on the number of subsequent PPH following the index hospitalisation. Multinominal logistic regression examined factors predictive of trajectory group membership.

Results: Three PPH trajectory groups were revealed among 17,591 patients: no PPH (89.5%), low PPH (10.0%), and high PPH (0.4%). Key predictors of PPH trajectory group membership were age, number of comorbidities, dementia, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), frailty risk, place of incident, surgery, rehabilitation, and length of hospital stay. The high PPH had a higher proportion of patients with ≥ 2 comorbidities (OR: 1.86, 95% confidence interval (CI): 1.04-3.32) and COPD (OR: 2.97, 95%CIs: 1.76-5.04) than the low PPH, and the low and high PPHs were more likely to have CHF and high frailty risk as well as ≥ 2 comorbidities and COPD than the no PPH.

Conclusions: Identifying trajectories of PPH after a hip fracture and factors predictive of trajectory group membership could be used to target strategies to reduce multiple readmissions.

Abstract Image

基于群体的老年人髋部骨折后可能可预防的住院治疗轨迹。
年龄、合并症数量、慢性阻塞性肺病和充血性心力衰竭的存在以及髋部骨折发生时的虚弱风险是潜在可预防住院的三个轨迹组的主要预测因素。目的:虽然患有髋部骨折的老年人在指数住院后多次再入院的风险较高,但人们对出院后潜在可预防的住院治疗(PPH)知之甚少。本研究考察了老年人髋部骨折后五年内基于群体的 PPH 轨迹,并确定了预测其轨迹群体成员资格的因素:这项回顾性队列研究使用了澳大利亚新南威尔士州 2013 年至 2021 年间的住院和死亡率关联数据。研究对象为髋部骨折后入院并在 2014 年至 2016 年期间出院的年龄≥ 65 岁的患者。根据指数住院后随后发生 PPH 的次数推导出基于组别的轨迹模型。多项式逻辑回归检验了预测轨迹组别成员的因素:在17591名患者中发现了三个PPH轨迹组:无PPH(89.5%)、低PPH(10.0%)和高PPH(0.4%)。PPH轨迹组的主要预测因素包括年龄、合并症数量、痴呆、慢性阻塞性肺病(COPD)、充血性心力衰竭(CHF)、虚弱风险、发病地点、手术、康复和住院时间。与无PPH患者相比,高PPH患者中合并症≥2种(OR:1.86,95%置信区间(CI):1.04-3.32)和慢性阻塞性肺病(OR:2.97,95%置信区间(CI):1.76-5.04)的比例更高;与无PPH患者相比,低PPH患者和高PPH患者更有可能合并CHF和高虚弱风险,以及合并症≥2种和慢性阻塞性肺病:结论:识别髋部骨折后PPH的轨迹以及预测轨迹组别成员的因素,可用于制定减少多次再入院的目标策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Osteoporosis International
Osteoporosis International 医学-内分泌学与代谢
CiteScore
8.10
自引率
10.00%
发文量
224
审稿时长
3 months
期刊介绍: An international multi-disciplinary journal which is a joint initiative between the International Osteoporosis Foundation and the National Osteoporosis Foundation of the USA, Osteoporosis International provides a forum for the communication and exchange of current ideas concerning the diagnosis, prevention, treatment and management of osteoporosis and other metabolic bone diseases. It publishes: original papers - reporting progress and results in all areas of osteoporosis and its related fields; review articles - reflecting the present state of knowledge in special areas of summarizing limited themes in which discussion has led to clearly defined conclusions; educational articles - giving information on the progress of a topic of particular interest; case reports - of uncommon or interesting presentations of the condition. While focusing on clinical research, the Journal will also accept submissions on more basic aspects of research, where they are considered by the editors to be relevant to the human disease spectrum.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信