BMC Digital Health (Jul 2024)

User-centered design of a mobile app for physical activity advice in cancer care: preliminary study in Morocco at the National Institute of Oncology

  • Youness Azemmour,
  • Saber Boutayeb,
  • Fahd Elkhalloufi,
  • Hamid Chamlal,
  • Hassan Beddaa,
  • Ismail Bouzekraoui Alaoui,
  • Jaouad Daikal,
  • Hassan Errihani

DOI
https://doi.org/10.1186/s44247-024-00093-w
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 13

Abstract

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Abstract Context Utilizing mobile apps to increase physical activity levels is now standard practice in cancer care. The study’s objective was to provide patients with precise physical activity recommendations and/or initiate self-directed exercise programs. Methods A multidisciplinary group directed the design procedure. We adhered to the self-determination approach,and accompanying behavior modification strategies, as well as international guidelines in the field of physical activity in cancer care. The design process was user-centered and involved three steps: Understanding the user and the context, conceptualization, and evaluation of the prototype. The testing was carried out by the beneficiaries, healthcare professionals, and two experts. Three criteria were evaluated in the designed solution: usability, quality, and potential for behavior change. Results The evaluation results of the designed solution showed good perception by both beneficiaries and healthcare professionals. The average system usability scale score was 90,6 (SD: 7.33) for beneficiaries, and 92.75 (SD: 3.83) for healthcare professionals. The first expert received a mean overall quality score of 4.51 on the mobile app rating scale, while the second received a score of 4.27. The results of the app behavior change scale gave the first expert a score of 17/21 and the second a score of 15/21. Conclusion Based on the criteria of usability, quality, and potential for behavior change, the designed app demonstrated positive results. This is a preliminary evaluation, which will be followed by additional, in-depth evaluations with larger sample sizes.

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