Unplanned hospitalisations among subsidised nursing home residents in Singapore: Insights from a data linkage study.

IF 2 Q1 MEDICINE, GENERAL & INTERNAL Annals of the Academy of Medicine, Singapore Pub Date : 2024-11-29 DOI:10.47102/annals-acadmedsg.2024118
Weiren Charles Quah, Chin Jong Leong, Edward Chong, James Alvin Low, Heidi Rafman
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Abstract

Introduction: Hospitalisations can pose hazards and may not be an appropriate care setting for frail nursing home (NH) residents. Few studies have quantified the extent of NH resident hospitalisations in Singapore, hence we aimed to address this knowledge gap by studying characteristics of unplanned hospitalisations over a 1-year period.

Method: This was a retrospective cohort study of 9922 subsidised residents across 59 NHs in Singapore, with analysis using administrative healthcare data. Key measures included inpatient admission and emergency department visit rates, final discharge diagnoses and estimated costs. We examined correlates of inpatient admissions with a multivariable zero-inflated negative binomial regression model incorporating demogra-phics, institutional characteristics and Charlson Comorbidity Index.

Results: There were 6620 inpatient admissions in 2015, equivalent to 2.23 admissions per 1000 resident days, and the majority were repeat admissions (4504 admissions or 68.0%). Male sex (incidence rate ratio [IRR] 1.23), approaching end-of-life (IRR 2.14), hospitalisations in the past year (IRR 2.73) and recent NH admission within the last 6 months (IRR 1.31-1.99) were significantly associated with inpatient admission rate. Top 5 discharge diagnoses were lower respiratory tract infections (27.3%), urinary tract infection (9.3%), sepsis (3.1%), cellulitis (1.9%) and gastroenteritis (1.1%). We estimated the total system cost of admissions of subsidised residents to be SGD40.2 million (USD29.1 million) in 2015.

Conclusion: We anticipate that unplanned hospitali-sation rate will increase over time, especially with an increasing number of residents who will be cared for in NHs. Our findings provide a baseline to inform stakeholders and develop strategies to address this growing problem.

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在新加坡的补贴养老院居民意外住院:从数据链接研究的见解。
住院可能会造成危险,可能不是一个适当的护理环境,为脆弱的养老院(NH)居民。很少有研究量化了新加坡NH居民住院的程度,因此我们旨在通过研究1年期间计划外住院的特征来解决这一知识差距。方法:这是一项回顾性队列研究,涉及新加坡59个NHs的9922名补贴居民,并使用行政医疗数据进行分析。主要指标包括住院和急诊就诊率、最终出院诊断和估计费用。我们用一个多变量零膨胀负二项回归模型,结合人口统计学、机构特征和Charlson合并症指数,检验了住院患者入院的相关性。结果:2015年全年住院6620人次,相当于每1000住院日住院2.23人次,以重复住院居多(4504人次,占68.0%)。男性(发病率比[IRR] 1.23)、接近生命末期(IRR 2.14)、过去一年住院(IRR 2.73)和最近6个月内最近住院(IRR 1.31-1.99)与住院率显著相关。排在排前5位的分别是下呼吸道感染(27.3%)、尿路感染(9.3%)、脓毒症(3.1%)、蜂窝组织炎(1.9%)和胃肠炎(1.1%)。我们估计2015年补贴居民入学的总系统成本为4020万新元(2910万美元)。结论:我们预计计划外住院率将随着时间的推移而增加,特别是随着NHs照顾的居民人数的增加。我们的研究结果为利益相关者提供了一个基线,并为解决这一日益严重的问题制定了战略。
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