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A multi-level usability evaluation of mobile health applications: A case study
Hwayoung Cho1, Po-Yin Yen2, Dawn Dowding3
1School of Nursing, Columbia University, New York, NY 10032, United States.
Journal of Biomedical Informatics
|August 27, 2018
Summary
This study presents a 3-level usability framework for developing effective mobile health (mHealth) applications. The approach ensures mHealth apps meet user needs through iterative refinement and rigorous evaluation.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Software Engineering
Background:
- Mobile health (mHealth) applications offer significant potential for patient self-management.
- Developing usable mHealth applications requires robust evaluation frameworks.
- Existing usability frameworks may not fully capture the complexities of mHealth contexts.
Purpose of the Study:
- To propose and illustrate a methodological approach for developing usable mHealth applications.
- To adapt a 3-level health information technology (IT) usability evaluation framework for mHealth app development.
- To guide the iterative refinement of mHealth app content, functionality, and interface.
Main Methods:
- A 3-level stratified usability evaluation framework was employed.
- Card sorting technique for information architecture at Level 1 (user-task).
- Laboratory usability testing and heuristic evaluation at Level 2 (user-task-system).
- Real-world usability evaluation during a 3-month trial at Level 3 (user-task-system-environment).
Main Results:
- The 3-level framework facilitated in-depth exploration of user-task-system-environment interactions.
- Iterative refinement based on usability findings improved the mHealth app's suitability.
- Card sorting, lab testing, and real-world trials provided comprehensive usability data.
Conclusions:
- The 3-level health IT usability evaluation framework is effective for designing, developing, and evaluating mHealth apps.
- Methodological recommendations derived from this framework can inform future mHealth usability studies.
- This approach enhances the development of user-centered mHealth solutions.
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