Abstract
Medication non-adherence is a prevalent healthcare problem with poor health outcomes and added healthcare costs. MedScrab, a gamification-based mHealth app, is the first attempt to deliver crucial life-saving medication information to patients and increase their medication adherence. The paper presents the development of MedScrab and a two-phase mixed-method usability evaluation of MedScrab. Phase I qualitatively evaluated MedScrab using a think-aloud protocol for its usability. With 51 participants, qualitative data analysis of Phase I revealed two themes: positive functionality of the app and four areas of improvement. The improvement recommendations were incorporated into MedScrab’s design. Phase I also validated a widely used mHealth App Usability Questionnaire (MAUQ). Quantitative data analysis of Phase I reduced the original 18-item MAUQ scale to a 15-item scale with two factors: ease of use (4 items) and usefulness and satisfaction (11 items). Phase II surveyed 83 participants from Amazon’s Mechanical Turk using a modified MAUQ. The modified MAUQ scale showed strong internal consistency (Cronbach alpha = 0.959) and high factor loadings (between 0.623 and 0.987). The study design of the usability evaluation can serve as a methodological guide for designing, evaluating, and improving mHealth apps.
The usability study showed that MedScrab was perceived as ease of use (6.24 out of 7) with high usefulness and satisfaction (5.72 out of 7). The quantitative data analysis results support the use of the modified MAUQ as a valid instrument to measure the usability of the MedScrab. However, the instrument should be used with adaptation based on the app’s characteristics.
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Data Availability
The datasets generated during the current study are available from the corresponding author upon reasonable request.
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Yan Li and Don Roosan contributed to the conceptualization of the study. Yan Li determined the study methodology and design. Yan Li and Don Roosan provided supervision of the entire study. Yan Li, Huong Phan, and Don Roosan contributed to the data collection. Yan Li, Huong Phan, Anandi V Law, and Don Roosan contributed to data analysis and data interpretation. The first draft of the manuscript was written by Yan Li and all authors reviewed and edited previous versions of the manuscript. All authors read and approved the final manuscript.
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Li, Y., Phan, H., Law, A.V. et al. Gamification to Improve Medication Adherence: A Mixed-method Usability Study for MedScrab. J Med Syst 47, 108 (2023). https://doi.org/10.1007/s10916-023-02006-2
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DOI: https://doi.org/10.1007/s10916-023-02006-2