Platts-Mills Timothy F, Dayaa Joseph A, Reeve Bryce B, Krajick Kayla, Mosqueda Laura, Haukoos Jason S, Patel Mehul D, Mulford Carrie F, McLean Samuel A, Sloane Phil D, Travers Debbie, Zimmerman Sheryl
a Department of Emergency Medicine , University of North Carolina , Chapel Hill , NC , USA.
b Department of Population Health Sciences , Duke University Durham, NC, USA.
J Elder Abuse Negl. 2018 Aug-Oct;30(4):247-270. doi: 10.1080/08946566.2018.1460285. Epub 2018 Apr 13.
Emergency departments (EDs) are an important health care setting for the identification of elder abuse (EA). Our objective was to develop an ED-based tool to identify EA. The initial tool included a brief cognitive assessment, questions to detect multiple domains of EA, and a physical examination. Refinement of the tool was based on input from clinical experts and nurse and patient feedback. The revised tool, which included 15 questions about EA, was then tested in an academic ED. We calculated the inter-rater reliability, sensitivity, and specificity of individual EA questions. Among ED patients age≥65 (N = 259), 17 (7%) screened positive for suspicion of EA. We identified a combination of six questions that cover the included domains of EA, demonstrated good or excellent inter-rater reliability, and had a sensitivity and specificity of 94% (95% confidence interval (CI) 71-100%) and 90% (95% CI 85-93%), respectively. These results inform a proposed screening tool for multisite validation testing.
急诊科是识别老年人虐待(EA)的重要医疗场所。我们的目标是开发一种基于急诊科的工具来识别EA。最初的工具包括简短的认知评估、检测EA多个领域的问题以及体格检查。该工具的完善基于临床专家以及护士和患者的反馈。修订后的工具包含15个关于EA的问题,随后在一家学术性急诊科进行了测试。我们计算了各个EA问题的评分者间信度、敏感性和特异性。在年龄≥65岁的急诊科患者中(N = 259),17例(7%)筛查出疑似EA呈阳性。我们确定了一组六个问题的组合,这些问题涵盖了EA的各个领域,具有良好或出色的评分者间信度,敏感性和特异性分别为94%(95%置信区间(CI)71 - 100%)和90%(95% CI 85 - 93%)。这些结果为拟议的用于多地点验证测试的筛查工具提供了依据。