• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

澳大利亚某地区卫生服务机构中与早期和晚期再入院相关的发病模式和多重发病模式。

Patterns of morbidity and multimorbidity associated with early and late readmissions in an Australian regional health service.

作者信息

Westley-Wise Victoria, Lago Luise, Mullan Judy, Facci Franca, Zingel Rebekah, Eagar Kathy

机构信息

Illawarra Shoalhaven Local Health District, Wollongong, New South Wales, Australia.

Centre for Health Research Illawarra Shoalhaven Population, Australian Health Services Research Institute, University of Wollongong, Wollongong, New South Wales, Australia.

出版信息

Chronic Illn. 2022 Mar;18(1):86-104. doi: 10.1177/1742395319899459. Epub 2020 Feb 9.

DOI:10.1177/1742395319899459
PMID:32036681
Abstract

OBJECTIVES

To describe morbidity and multimorbidity patterns among adults readmitted to an Australian regional health service, in terms of occurrence of the same and different morbidities at index admission and readmission.

METHODS

This cohort study used hospital admissions data for patients admitted between 1 July 2014 and 30 June 2016 to estimate proportions of unplanned readmissions ('early' within 30 days and 'late' within 1-6 months) with the same and different morbidities as the index admission. Readmission rates were estimated by selected sociodemographic, admission and diagnostic characteristics.

RESULTS

The majority of early and late readmissions were in different diagnostic groups and for different primary morbidities to the index admission. Only 38.8% of readmissions were in the same major diagnostic group as the index admission and 18.4% in the same Adjacent Diagnosis-Related Group. Twenty one percent of admitted patients were readmitted within six months, with this increasing to 35.3% among multimorbid patients.

CONCLUSION

With increasing prevalence of multimorbidity, particularly among those at increased risk of readmission, it is essential to step away from a single disease focus in the design of both hospital avoidance and chronic disease management programmes. Holistic interventions and strategies that address multiple chronic conditions are required.

摘要

目的

根据首次入院和再次入院时相同及不同疾病的发生情况,描述澳大利亚某地区医疗服务机构再次入院成人的发病情况和多种疾病共存模式。

方法

这项队列研究使用了2014年7月1日至2016年6月30日期间入院患者的医院数据,以估计与首次入院相同及不同疾病的非计划再次入院(30天内“早期”和1至6个月内“晚期”)比例。通过选定的社会人口统计学、入院和诊断特征来估计再入院率。

结果

大多数早期和晚期再入院患者的诊断组不同,主要疾病也与首次入院不同。只有38.8%的再入院患者与首次入院属于同一主要诊断组,18.4%属于同一相邻诊断相关组。21%的入院患者在六个月内再次入院,在患有多种疾病的患者中这一比例增至35.3%。

结论

随着多种疾病共存情况的日益普遍,尤其是在再入院风险较高的人群中,在设计避免住院和慢性病管理方案时,必须摒弃单一疾病的关注点。需要采取针对多种慢性病的整体干预措施和策略。

相似文献

1
Patterns of morbidity and multimorbidity associated with early and late readmissions in an Australian regional health service.澳大利亚某地区卫生服务机构中与早期和晚期再入院相关的发病模式和多重发病模式。
Chronic Illn. 2022 Mar;18(1):86-104. doi: 10.1177/1742395319899459. Epub 2020 Feb 9.
2
Trends in unplanned readmissions over 15 years: a regional Australian perspective.15 年来计划性再入院趋势:澳大利亚地区视角。
Aust Health Rev. 2020 Apr;44(2):241-247. doi: 10.1071/AH18072.
3
Factors associated with unplanned readmissions in a major Australian health service.澳大利亚一家大型医疗服务机构中与非计划再入院相关的因素。
Aust Health Rev. 2019 Feb;43(1):1-9. doi: 10.1071/AH16287.
4
Characteristics and clinical outcomes of index versus non-index hospital readmissions in Australian hospitals: a cohort study.澳大利亚医院中索引住院与非索引住院再入院的特征及临床结局:一项队列研究。
Aust Health Rev. 2020 Feb;44(1):153-159. doi: 10.1071/AH18040.
5
A 5-year retrospective cohort study of unplanned readmissions in an Australian tertiary paediatric hospital.一项针对澳大利亚一家三级儿科医院非计划再次入院情况的5年回顾性队列研究。
Aust Health Rev. 2019 Jan;43(6):662-671. doi: 10.1071/AH18123.
6
Prevention of Unplanned Hospital Admissions in Multimorbid Patients Using Computational Modeling: Observational Retrospective Cohort Study.使用计算建模预防多病种患者的非计划性住院:观察性回顾性队列研究。
J Med Internet Res. 2023 Feb 16;25:e40846. doi: 10.2196/40846.
7
Inflammatory Bowel Disease: Predictors and Causes of Early and Late Hospital Readmissions.炎症性肠病:早晚期住院再入院的预测因素和原因。
Inflamm Bowel Dis. 2017 Oct;23(10):1832-1839. doi: 10.1097/MIB.0000000000001242.
8
Reasons for readmission after hospital discharge in patients with chronic diseases-Information from an international dataset.慢性病患者出院后再次入院的原因——国际数据集信息。
PLoS One. 2020 Jun 30;15(6):e0233457. doi: 10.1371/journal.pone.0233457. eCollection 2020.
9
Factors influencing early and late readmissions in Australian hospitalised patients and investigating role of admission nutrition status as a predictor of hospital readmissions: a cohort study.影响澳大利亚住院患者早期和晚期再入院的因素以及探讨入院营养状况作为医院再入院预测指标的作用:一项队列研究。
BMJ Open. 2018 Jun 27;8(6):e022246. doi: 10.1136/bmjopen-2018-022246.
10
Unplanned pediatric intensive care unit readmissions: a single-center experience.计划性儿科重症监护病房再入院:单中心经验。
J Crit Care. 2013 Oct;28(5):625-33. doi: 10.1016/j.jcrc.2013.02.008. Epub 2013 Apr 16.

引用本文的文献

1
Alleviating suffering of individuals with multimorbidity and complex needs: A descriptive qualitative study.缓解多病共存和复杂需求个体的痛苦:一项描述性定性研究。
Nurs Ethics. 2024 Mar-May;31(2-3):189-201. doi: 10.1177/09697330231191280. Epub 2023 Aug 4.