Suppr超能文献

新居家护理客户非计划住院的预测因素

Predictors for Unplanned Hospitalization of New Home Care Clients.

作者信息

Rönneikkö Jukka K, Mäkelä Matti, Jämsen Esa R, Huhtala Heini, Finne-Soveri Harriet, Noro Anja, Valvanne Jaakko N

机构信息

Ylöjärvi Health Care Centre, Ylöjärvi, Finland.

National Institute for Health and Welfare, Helsinki, Finland.

出版信息

J Am Geriatr Soc. 2017 Feb;65(2):407-414. doi: 10.1111/jgs.14486. Epub 2016 Dec 21.

Abstract

OBJECTIVES

To identify factors predicting unplanned hospitalization of new home care clients using the Resident Assessment Instrument for Home Care (RAI-HC).

DESIGN

A register-based study based on RAI-HC assessments and nationwide hospital discharge records.

SETTING

Municipal home care services in Finland.

PARTICIPANTS

New Finnish home care clients aged 63 and older (N = 15,700).

MEASUREMENTS

Information from home care clients' first RAI-HC assessment was connected to information regarding their first hospitalization over 1 year of follow-up. Multivariate regression analyses were used to evaluate the independent risk factors for hospitalization.

RESULTS

Forty-three percent (n = 6,812) of participants were hospitalized at least once. The strongest independent risk factors were hospitalization during the year preceding the RAI-HC assessment (odds ratio (OR) = 2.01, 95% confidence interval (CI) = 1.87-2.16), aged 90 and older (OR = 1.69, 95% CI = 1.48-1.92), renal insufficiency (OR = 1.44, 95% CI = 1.22-1.69) and using 10 or more drugs (OR = 1.41, 95% CI = 1.26-1.58). Other independent risk factors were male sex, previous emergency department visits or other acute outpatient care use, daily urinary incontinence, fecal incontinence, history of falls, cognitive impairment, chronic skin ulcer, pain, unstable health status, housing-related problems, and poor self-rated health. Parkinson's disease, coronary artery disease, congestive heart failure, chronic obstructive pulmonary disease, and cancer were independent prognostic indicators. A body mass index of 24 kg/m or greater and the client's own belief that functional capacity could improve had a protective role.

CONCLUSION

Assessing new home care clients using the RAI-HC reveals modifiable risk factors for unplanned hospitalization. Systematic assessment by a multidisciplinary team at the beginning of the service and targeting modifiable risk factors could reduce the risk of unplanned hospitalization.

摘要

目的

使用居家护理居民评估工具(RAI-HC)确定预测新的居家护理客户计划外住院的因素。

设计

一项基于RAI-HC评估和全国医院出院记录的基于登记的研究。

地点

芬兰的市政居家护理服务机构。

参与者

63岁及以上的芬兰新居家护理客户(N = 15700)。

测量

居家护理客户首次RAI-HC评估的信息与他们在1年随访期间首次住院的信息相关联。使用多变量回归分析来评估住院的独立危险因素。

结果

43%(n = 6812)的参与者至少住院一次。最强的独立危险因素是在RAI-HC评估前一年住院(比值比(OR)= 2.01,95%置信区间(CI)= 1.87 - 2.16)、90岁及以上(OR = 1.69,95% CI = 1.48 - 1.92)、肾功能不全(OR = 1.44,95% CI = 1.22 - 1.69)以及使用10种或更多药物(OR = 1.41,95% CI = 1.26 - 1.58)。其他独立危险因素包括男性、既往急诊就诊或其他急性门诊护理使用情况、每日尿失禁、大便失禁、跌倒史、认知障碍、慢性皮肤溃疡、疼痛、健康状况不稳定、住房相关问题以及自我健康评分差。帕金森病、冠状动脉疾病、充血性心力衰竭、慢性阻塞性肺疾病和癌症是独立的预后指标。体重指数为24 kg/m或更高以及客户自己认为功能能力可以改善具有保护作用。

结论

使用RAI-HC评估新的居家护理客户可揭示计划外住院的可改变危险因素。在服务开始时由多学科团队进行系统评估并针对可改变的危险因素可以降低计划外住院的风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验