利克特量表
偶像
防坠落
比例(比率)
内容有效性
患者安全
医学
医学教育
护理部
心理学
医疗保健
应用心理学
自杀预防
计算机科学
毒物控制
医疗急救
心理测量学
临床心理学
发展心理学
物理
量子力学
经济
程序设计语言
经济增长
作者
Wai Yin Leung,Jason S. Adelman,David W. Bates,Alexandra Businger,John S. Dykes,Awatef Ergai,Ann C. Hurley,Zachary Katsulis,Sarah Khorasani,Maureen Scanlan,Laura Schenkel,Amisha Rai,Patricia C. Dykes
标识
DOI:10.1097/pts.0000000000000354
摘要
Introduction Falls with injury are the most prevalent hospital adverse event. The objective of this project was to refine fall risk and prevention icons for a patient-centric bedside toolkit to promote patient and nurse engagement in accurately assessing fall risks and developing a tailored fall prevention plan. Methods Eighty-eight patients and 60 nurses from 2 academic medical centers participated in 4 iterations of testing to refine 6 fall risk and 10 fall prevention icons. During individual interviews, participants rated their satisfaction with the degree to which that icon represented the concept on a 4-point Likert scale, enabling computation of a Content Validity Index (CVI), and provided comments and suggestions for improvement. After reviewing CVI scores and feedback, the research team consulted with the illustrator to revise the icons. Results Content Validity Index scores improved after icon modifications. Icons that depicted multiple concepts required further iterations to be acceptable. Discussion Using icons to depict an accurate and easy-to-interpret fall risk assessment and intervention plan for all care team members including patients and family to follow should lead to improved adherence with that plan and decreased falls. Conclusions All 16 icons were refined and used to form the basis for a bedside fall prevention toolkit.
科研通智能强力驱动
Strongly Powered by AbleSci AI