Related Experiment Video
Updated: Aug 15, 2025

05:21
Computerized Adaptive Testing System of Functional Assessment of Stroke
Published on: January 7, 2019
5.9K
Usability Testing of an Interoperable Computerized Clinical Decision Support Tool for Fall Risk Management in Primary
Kristen Shear1, Hannah Rice2, Pamela M Garabedian3
1Department of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, United States.
Applied Clinical Informatics
|January 4, 2023
Summary
The ASPIRE tool shows promise for improving fall risk management in older adults. Usability testing revealed good performance, suggesting potential for widespread adoption in primary care settings.
Area of Science:
- Gerontology
- Health Informatics
- Primary Care Medicine
Background:
- Falls are a significant issue for older adults living in the community.
- Current use of fall prevention guidelines in primary care is insufficient.
- Interoperable clinical decision support systems can enhance fall risk management.
Purpose of the Study:
- To assess the usability of the ASPIRE tool for fall risk management.
- To evaluate ease of access, overall usability, learnability, and acceptability of ASPIRE.
- To prepare ASPIRE for pilot testing in diverse primary care settings.
Main Methods:
- Usability testing involving formative and summative phases.
- Purposive sampling of 14 participants from two distinct clinical sites with different EHRs.
- Utilized Single Ease Question, System Usability Scale, and NVivo analysis of recorded sessions.
Main Results:
- ASPIRE achieved above-average usability scores (System Usability Scale).
- Significant decrease in time on task indicated good learnability.
- Acceptability of recommendations varied, with some consistently adopted and others less so.
Conclusions:
- The ASPIRE system demonstrated good usability across different organizational and EHR settings.
- Further pilot testing is recommended to confirm clinical practice translation.
- ASPIRE's interoperable design facilitates scalable implementation for fall risk management.

