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无家可归者急诊科就诊的形成性评估与聚类成员分析

Formative Assessment and Cluster Membership of Homeless Persons' Emergency Department Visits.

作者信息

Cavanaugh Gesulla, Hardigan Patrick, Ownby Raymond, Stanis Stachyse, Karur Prasanna, Patel Raina K, Patel Diti H

机构信息

College of Nursing, Nova Southeastern University, Davie, USA.

Health Professions Division, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.

出版信息

Cureus. 2024 Jul 9;16(7):e64188. doi: 10.7759/cureus.64188. eCollection 2024 Jul.

Abstract

Background Evidence is limited on whether homeless individuals who visit emergency departments (EDs) share similar clinical characteristics as individuals from private households who, upon examination, require emergency health services beyond preventative healthcare. While the literature is rich with studies on homeless persons in the ED, a comprehensive assessment of similarities and differences with other social groups is lacking. Consequently, there is a gap in knowledge as it pertains to the appropriate approaches that will further support the development of targeted healthcare and emergency health services for the homeless person. Aim The goal is to provide a framework for targeted interventions that hospitals can develop based on behavioral, health, and social characteristics and, in the process, better meet the healthcare needs of homeless patients. Methods Data were collected from the records of 85,350 patients in the National Hospital Ambulatory Medical Care Survey (NHAMCS) database who visited the ED between the years of 2013 and 2016; each patient was classified as having either a private residence, living in a nursing home, or homeless (n = 83,446, n = 1,459, and n = 925, respectively). Results Cluster analysis of the data confirmed that individuals with multiple comorbidities, as well as substance abuse or dependency, regardless of residence type, were more likely to have recurrent ED visits within 72 hours. Nominal regression analyses revealed that cluster membership generated from ED data could predict patient residence and suggest that substance abuse and depression can predict 72-hour ED visit recurrence. Conclusion Cluster analyses have the potential to reveal social health and group characteristics and can support targeted solutions respective to group individualities in the ED.

摘要

背景

关于前往急诊科(ED)就诊的无家可归者与来自私人家庭、经检查需要预防性医疗保健以外的紧急医疗服务的个体是否具有相似的临床特征,证据有限。虽然关于急诊科无家可归者的研究文献丰富,但缺乏对与其他社会群体异同的全面评估。因此,在适用于进一步支持为无家可归者制定针对性医疗保健和紧急医疗服务的适当方法方面存在知识空白。目的:目标是为医院基于行为、健康和社会特征制定的针对性干预措施提供一个框架,并在此过程中更好地满足无家可归患者的医疗需求。方法:从国家医院门诊医疗调查(NHAMCS)数据库中2013年至2016年间前往急诊科就诊的85350名患者的记录中收集数据;每位患者被分类为拥有私人住所、住在养老院或无家可归(分别为n = 83446、n = 1459和n = 925)。结果:对数据的聚类分析证实,无论居住类型如何,患有多种合并症以及存在药物滥用或依赖的个体在72小时内更有可能再次前往急诊科就诊。名义回归分析显示,从急诊科数据生成的聚类成员身份可以预测患者的居住情况,并表明药物滥用和抑郁症可以预测72小时内急诊科就诊的复发情况。结论:聚类分析有可能揭示社会健康和群体特征,并能支持针对急诊科群体个体差异的针对性解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f6d/11315444/42864b990bd5/cureus-0016-00000064188-i01.jpg

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