Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA.
J Am Geriatr Soc. 2021 Jun;69(6):1469-1478. doi: 10.1111/jgs.17068. Epub 2021 Feb 21.
BACKGROUND/OBJECTIVES: A major barrier for society in overcoming elder mistreatment is an inability to accurately identify victims. There are several barriers to self-reporting elder mistreatment, including fear of nursing home placement or losing autonomy or a caregiver. Existing strategies to identify elder mistreatment neglect to empower those who experience it with tools for self-reporting. In this project, we developed and evaluated the usability of VOICES, a self-administrated digital health tool that screens, educates, and motivates older adults to self-report elder mistreatment.
Cross-sectional study with User-Centered Design (UCD) approach.
Yale School of Medicine and the Agency on Aging of South-Central Connecticut.
Thirty eight community-dwelling and cognitively intact older adults aged 60 years and older, caregivers, clinicians, and social workers.
A tablet-based self-administrated digital health tool that screens, educates, and motivates older adults to self-report elder mistreatment.
Qualitative and quantitative data were obtained from: (1) focus groups participants including: feedback from open-ended discussion, demographics, and a post-session survey; (2) usability evaluation including: demographics, usability measures, comfortability with technology, emotional state, and open-ended feedback.
Focus group participants (n = 24) generally favored using a tablet-based tool to screen for elder mistreatment and expressed comfort answering questions on elder mistreatment using tablets. Usability evaluation participants (n = 14) overall scored VOICES a mean System Usability Scale (SUS) score of 86.6 (median = 88.8), higher than the benchmark SUS score of 68, indicating excellent ease of use. In addition, 93% stated that they would recommend the VOICES tool to others and 100% indicated understanding of VOICES' information and content.
Our findings show that older adults are capable, willing, and comfortable with using the innovative and self-administrated digital tool for elder mistreatment screening. Our future plan is to conduct a feasibility study to evaluate the use of VOICES in identifying suspicion of mistreatment.
背景/目的：克服虐待老人问题的一个主要障碍是无法准确识别受害者。老人不愿主动报告虐待事件，存在多种原因，包括担心被安置到养老院、丧失自主权或失去看护人等。现有的识别虐待老人的策略忽视了为那些遭受虐待的人提供自我报告的工具，无法赋予他们权力。本研究开发并评估了 VOICES 的可用性，这是一种自我管理的数字健康工具，用于筛查、教育和激励老年人主动报告虐待老人事件。
采用以用户为中心的设计（UCD）方法的横断面研究。
耶鲁大学医学院和康涅狄格州中南部老龄化机构。
38 名居住在社区、认知能力完好的 60 岁及以上老年人、看护人、临床医生和社会工作者。
基于平板电脑的自我管理数字健康工具，用于筛查、教育和激励老年人主动报告虐待老人事件。
通过以下方式获取定性和定量数据：（1）焦点小组参与者，包括：从开放性讨论中获取反馈、人口统计学信息和课后调查；（2）可用性评估，包括：人口统计学信息、可用性指标、对技术的舒适度、情绪状态和开放性反馈。
焦点小组参与者（n=24）普遍支持使用基于平板电脑的工具来筛查虐待老人事件，并表示使用平板电脑回答虐待老人问题感到舒适。可用性评估参与者（n=14）的 VOICES 总体系统可用性量表（SUS）评分为 86.6（中位数=88.8），高于 SUS 基准分数 68，表明易于使用。此外，93%的参与者表示会向他人推荐 VOICES 工具，100%的参与者表示理解 VOICES 的信息和内容。
我们的研究结果表明，老年人具备使用这种创新的自我管理数字工具进行虐待老人筛查的能力、意愿和舒适度。我们未来的计划是开展一项可行性研究，以评估 VOICES 在识别虐待嫌疑方面的应用。
