Evaluating the quality of health apps usin uMARS methodology and personas

  • Maria Eduarda Vargas UFRGS
  • William Niemiec UFRGS
  • João Vítor Gozzi UFRGS
  • Ana Karina Silva da Rocha Tanaka UFRGS
  • Érika Cota UFRGS

Abstract


Mobile health applications have become popular tools for assisting users with self-care. However, there is limited evidence regarding their quality. This study evaluates free health applications using the User Mobile App Rating Scale (uMARS) methodology. By comparing app characteristics with the expectations of typical users, the research identifies factors influencing the adoption and retention of these solutions. The results reveal significant variability in app quality, particularly in usability, credibility, and alignment with individual user needs. These findings underscore the need for better alignment between health apps and user demands.

References

Baumel, A., Muench, F., Edan, S., and Kane, J. M. (2019). Objective user engagement with mental health apps: systematic search and panel-based usage analysis. Journal of medical Internet research, 21(9):e14567.

Bewick, V., Cheek, L., and Ball, J. (2003). Statistics review 7: Correlation and regression. Critical care, 7:1–9.

Ferauche, T. M. Y., Silva, J. J., and Ito, M. (2024). Desenvolvimento do método para avaliação de aplicativos móveis em saúde. Journal of Health Informatics, 16(Especial).

Gomes, M. L. d. S., Rodrigues, I. R., Moura, N. d. S., Bezerra, K. d. C., Lopes, B. B., Teixeira, J. J. D., Vasconcelos, C. T. M., and Oriá, M. O. B. (2019). Avaliação de aplicativos móveis para promoção da saúde de gestantes com pré-eclâmpsia. Acta paulista de enfermagem, 32:275–281.

Gralha, S. R. and da Silva Bittencourt, O. N. (2023). Portuguese translation and validation of the user rating scale for mobile applications in the health area (umars). Research, Society and Development, 12(6):e8912642056–e8912642056.

Kwasny, M. J., Schueller, S. M., Lattie, E., Gray, E. L., and Mohr, D. C. (2019). Exploring the use of multiple mental health apps within a platform: secondary analysis of the intellicare field trial. JMIR mental health, 6(3):e11572.

Mustafa, A. S., Ali, N., Dhillon, J. S., Alkawsi, G., and Baashar, Y. (2022). User engagement and abandonment of mhealth: a cross-sectional survey. In Healthcare, volume 10, page 221. MDPI.

Souza, J. d., Rendeiro, M. M. P., and Araújo, A. (2021). Avaliação da satisfação dos usuários de aplicativos que facilitam e contribuem para qualidade da prática de profissionais de enfermagem. Revista de Saúde Digital e Tecnologias Educacionais.

Stoyanov, S. R., Hides, L., Kavanagh, D. J., and Wilson, H. (2016). Development and validation of the user version of the mobile application rating scale (umars). JMIR mHealth and uHealth, 4(2):e5849.

Vasconcelos, D. O. and Ito, M. (2023). Avaliação de aplicativos de saúde mental. In Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), pages 19–24. SBC.
Published
2025-06-09
VARGAS, Maria Eduarda; NIEMIEC, William; GOZZI, João Vítor; TANAKA, Ana Karina Silva da Rocha; COTA, Érika. Evaluating the quality of health apps usin uMARS methodology and personas. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 25. , 2025, Porto Alegre/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 413-424. ISSN 2763-8952. DOI: https://doi.org/10.5753/sbcas.2025.7206.