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Usability Methods and Attributes Reported in Usability Studies of Mobile Apps for Health Care Education: Scoping
Susanne Grødem Johnson1, Thomas Potrebny1, Lillebeth Larun2
1Faculty of Health and Function, Western Norway University of Applied Sciences, Bergen, Norway.
JMIR Medical Education
|June 29, 2022
Summary
This review identified common usability methods and attributes in mobile health education apps. Findings suggest combining diverse evaluation methods and measures can enhance future mobile learning app development.
Area of Science:
- Health Professions Education
- Human-Computer Interaction
- Educational Technology
Background:
- Mobile devices offer adaptable learning environments in higher education, enhancing student engagement.
- Usability testing is crucial for developing practical, effective, and user-friendly mobile applications.
- No prior reviews have synthesized usability studies of mobile apps specifically for health care education.
Purpose of the Study:
- To conduct a scoping review identifying usability methods and attributes in studies of mobile applications for health care education.
Main Methods:
- A comprehensive search of 10 databases, reference lists, and gray literature was performed.
- Studies involving health care students and mobile app usability for learning were included.
- The Arksey and O'Malley framework guided this scoping review.
Main Results:
- 88 articles (98 studies) from 22 countries (2008-2021) were analyzed, primarily involving medical and nursing students.
- Field testing was the primary usability experiment; inquiry-based methods (e.g., 1-group design) were predominant over user testing (e.g., think aloud).
- Satisfaction, usefulness, and ease of use were the most frequently reported usability attributes, often collected via questionnaires, though few used validated instruments.
Conclusions:
- Experimental designs and field testing were common for usability evaluation in mobile health education.
- While questionnaires were frequently used, the limited use of psychometrically validated tools is a notable gap.
- Combining diverse usability evaluation methods, subjective and objective measures, and clearly defined attributes is recommended for future research and development.
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