急诊科住院患者家庭相关伤害的预测因素

Mahdieh Sabery, M. Dianati, H. Akbari
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摘要

背景:与家庭有关的事故是主要的健康问题,也是仅次于道路事故的发病率和死亡率的第二大常见原因。本研究旨在确定2018-2019年伊朗卡尚地区家庭伤害状况及相关因素。方法:本横断面研究于2012-2013年在喀山地区进行,采用方便抽样方法,纳入符合纳入标准的转诊急诊科患者。一份有效的自我管理问卷用于数据收集。数据分析采用卡方检验和t检验,多变量分析采用logistic回归分析。结果:共完成问卷939份,其中男性420份。年龄、职业、受教育程度、参照地、原发原因、损伤机制和类型、医疗诊断和患者住院之间存在统计学显著性差异。多因素logistic回归分析显示,转诊地点(Shahid Behest医院)(优势比[OR] =1.923, P < 0.001)、既往病史(OR = 4.280, P = 0.015)、割伤及利器(OR = 2.104, P = 0.006)、跌倒(OR = 1.626, P = 0.022)、骨折(OR = 2.781, P < 0.001)是增加住院风险的有效因素。结论:本研究提供了新的证据,表明家庭事故的预测变量与住院治疗的结果有关。因此,教育计划和具体干预措施应侧重于预测因素,以防止家庭事故。
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Predictive factors of home-related injuries among patients admitted to the emergency departments
Background: Home-related accidents are the main health problem and the second frequent reason of morbidity and mortality after road accidents. This study aimed to determine the status of home injuries and related factors during 2018–2019 in Kashan, Iran. Methods: This cross-sectional study was conducted during 2012–2013, in Kashan, convenience sampling method was used and patients referred to the emergency department who met the inclusion criteria were included in the study. A validated self-administered questionnaire was used for data collection. Data were analyzed using Chi-square test and t-test also for multivariate analysis logistic regression analysis was used. Results: The number 939 questionnaires were completed in total, that 420 were male. There was a statistically significant between age, job, educational level, place of reference, primary cause, mechanism and type of injury, medical diagnosis, and patients' hospitalization. Multiple logistic regression analysis revealed that the effective factors such as the place of referral (Shahid Behest Hospital) (odds ratio [OR] =1.923, P < 0.001), past medical history (OR = 4.280, P = 0.015), cut and sharp instrument (OR = 2.104, P = 0.006), falling (OR = 1.626, P = 0.022), and fracture (OR = 2.781, P < 0.001) have increased the risk of hospitalization. Conclusions: This study provides novel evidence suggesting predictive variables of home accidents are associated with the outcome of hospitalization. Therefore, educational programs and specific interventions should focus on predictive factors to prevent of home accidents.
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