Developing a systematic fall risk assessment tool for outpatient clinics

Background In healthcare settings, fall incidents represent a significant public health issue and often result in severe injuries, prolonged hospital admissions, and substantial healthcare costs. Despite current fall risk reduction strategies, falls continue to be among the leading causes of sentinel events. Objective This study aims to identify fall risk factors present in an outpatient clinic work system and develop tools to support proactive risk mitigation. Research Design We introduced a systematic fall risk assessment (SFRA) tool where front-line staff can evaluate their work systems for fall risks. The tool was developed using literature review, observations, and interviews with focus groups. The tool includes step-by-step instructions for an outpatient clinic fall risk assessment, factors to consider in various settings of patient care, and guiding principles to address fall risks in an outpatient work system. Results This tool underwent user testing, which validated its learnability, usability, and usefulness, and was rated positively by a diverse range of clinics and roles. Our preliminary results suggested that the tool was effective in identifying potential fall risk factors of outpatient clinics, even when used by non-experts. Conclusion We demonstrated the effective use of human factors methods to equip front-line staff with tools to proactively evaluate outpatient clinic work systems for fall risks and develop mitigation strategies.

Authors

Institutions

Publication Details

Journal
Journal of Patient Safety and Risk Management
Published
2024-12-26
DOI
https://doi.org/10.1177/25160435241305862
Primary Topic
Patient Safety and Medication Errors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a systematic fall risk assessment tool for outpatient clinics

Yushi Yang, Allison Drees, Lewis Heinlein
Journal of Patient Safety and Risk Management
Patient Safety and Medication Errors
article

Developing a systematic fall risk assessment tool for outpatient clinics

Yushi Yang, Allison Drees, Lewis Heinlein
article en

Abstract

Background In healthcare settings, fall incidents represent a significant public health issue and often result in severe injuries, prolonged hospital admissions, and substantial healthcare costs. Despite current fall risk reduction strategies, falls continue to be among the leading causes of sentinel events. Objective This study aims to identify fall risk factors present in an outpatient clinic work system and develop tools to support proactive risk mitigation. Research Design We introduced a systematic fall risk assessment (SFRA) tool where front-line staff can evaluate their work systems for fall risks. The tool was developed using literature review, observations, and interviews with focus groups. The tool includes step-by-step instructions for an outpatient clinic fall risk assessment, factors to consider in various settings of patient care, and guiding principles to address fall risks in an outpatient work system. Results This tool underwent user testing, which validated its learnability, usability, and usefulness, and was rated positively by a diverse range of clinics and roles. Our preliminary results suggested that the tool was effective in identifying potential fall risk factors of outpatient clinics, even when used by non-experts. Conclusion We demonstrated the effective use of human factors methods to equip front-line staff with tools to proactively evaluate outpatient clinic work systems for fall risks and develop mitigation strategies.

Journal of Patient Safety and Risk ManagementVol. 30(2)
Johns Hopkins University (US), Johns Hopkins Medicine (US), National Patient Safety Foundation (US)
Openalex Percentile: Top 57%
Patient Safety and Medication Errors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.