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.
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.
Authors: Anuj K Dalal; Theresa Fuller; Pam Garabedian; Awatef Ergai; Corey Balint; David W Bates; James Benneyan Journal: J Am Med Inform Assoc Date: 2019-06-01 Impact factor: 4.497
Authors: Patricia C Dykes; Srijesa Khasnabish; Zoe Burns; Lesley E Adkison; Lois Alfieri; Michael Bogaisky; Diane L Carroll; Eileen J Carter; Ann C Hurley; Emily Jackson; Susan Kurian; Mary Ellen Lindros; Virginia Ryan; Maureen Scanlan; Kelly Sessler; Alexandra Shelley; Linda B Spivack; Mary-Ann Walsh; David W Bates; Jason S Adelman Journal: J Patient Saf Date: 2022-03-01 Impact factor: 2.243
Authors: Megan Duckworth; Jason Adelman; Katherine Belategui; Zinnia Feliciano; Emily Jackson; Srijesa Khasnabish; I-Fong Sun Lehman; Mary Ellen Lindros; Heather Mortimer; Kasey Ryan; Maureen Scanlan; Linda Berger Spivack; Shao Ping Yu; David Westfall Bates; Patricia C Dykes Journal: J Med Internet Res Date: 2019-01-21 Impact factor: 5.428
Authors: Patricia C Dykes; Zoe Burns; Jason Adelman; James Benneyan; Michael Bogaisky; Eileen Carter; Awatef Ergai; Mary Ellen Lindros; Stuart R Lipsitz; Maureen Scanlan; Shimon Shaykevich; David Westfall Bates Journal: JAMA Netw Open Date: 2020-11-02