Usability evaluation of a mHealth application for overweight and obesity
DOI:
https://doi.org/10.59681/2175-4411.v15.i1.2023.966Palavras-chave:
mHealth, Obesity, User-Centered DesignResumo
Objectives: This study aims to evaluate the usability and feasibility of the HealthFY mobile application among employees of a private company. The app focuses on the promotion of healthy habits and weight management through the use of gamification and social media features. Methods: Employees were invited to use the app during a 21-day program. A mixed-method approach was employed to evaluate usability. The messages sent to an online group chat were analyzed using thematic-category content analysis. Participants also answered a questionnaire based on the Mobile Application Rating Scale - user version (uMARS).Results: In total 26 adults completed the intervention. Results: Indicate that the use of mHealth within a corporate-delivered context is feasible. Quantitative and qualitative analysis indicated good usability. Conclusion: HealthFY appears to be a suitable and easy to use tool. Future studies should evaluate its efficacy as an intervention for overweight and obesity.
Referências
Blüher M. Obesity: global epidemiology and pathogene-sis. Nat Rev Endocrinol. 2019;15(5):288-298. doi:10.1038/s41574-019-0176-8.
Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism. 2019; 92:6-10. doi:10.1016/j.metabol.2018.09.005.
Popkin BM, Du S, Green WD, et al. Individuals with obesity and COVID‐19: a global perspective on the epi-demiology and biological relationships. Obes Rev. 2020;21(11):1-17. doi:10.1111/obr.13128.
Clemmensen C, Petersen MB, Sørensen TIA. Will the COVID-19 pandemic worsen the obesity epidemic?. Nat Rev Endocrinol. 2020 Nov;16(9):469-470. doi: 10.1038/s41574-020-00441-5.
Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the uptake of and engagement with health and well-being smartphone apps: systematic review. J Med Internet Res. 2020;22(5):1-23. doi:10.2196/17572.
Greiwe J, Nyenhuis SM. Wearable technology and how this can be implemented into clinical practice. Curr Allergy Asthma Rep. 2020;20:1-10. doi: 10.1007/s11882-020-00915-w.
Wang Y, Min J, Khuri J, et al. Effectiveness of mobile health interventions on diabetes and obesity treatment and management: systematic review of systematic revi-ews. JMIR Mhealth Uhealth. 2020;8(4):1–12. doi:10.2196/15400.
Ufholz K, Werner J. The efficacy of mobile applications for weight loss. Curr Cardiovasc Risk Rep. 2023;17(4):83-90. doi:10.1007/s12170-023-00717-2.
Meyerowitz-Katz G, Ravi S, Arnolda L, Feng X, Maberly G, Astell-Burt T. Rates of attrition and dropout in app-based interventions for chronic disease: systematic review and meta-analysis. J Med Internet Res. 2020;22(9):1-10. doi:10.2196/20283.
Paz F, Pow-Sang JA. A systematic mapping review of usability evaluation methods for software development process. Int J Softw Eng its Appl. 2016;10(1):165-178. doi:10.1109/ASEA.2015.8
Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a re-view of qualitative studies. J Telemed Telecare. 2018;24(4):290-302. doi:10.1177/135763 3X17692722.
Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Deve-lopment and Validation of the User Version of the Mo-bile Application Rating Scale (uMARS). JMIR MHealth UHealth. 2016;4(2):1-5. doi: 10.2196/mhealth.5849.
Gliem JA, Gliem RR. Calculating, interpreting, and repor-ting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest research-to-Practice Conference in Adult, Continuing, and community education. 2003. Ac-cessed May 11, 2022. https://scholarworks.iupui.edu/handle/1805/344
IBM Corp. IBM SPSS Statistics for Windows. IBM Corp; 2011.
Bardin L. Análise de conteúdo. Edições 70; 2016.
Lee Y, Lee NY, Lim HJ, Sung S. Weight Reduction In-terventions Using Digital Health for Employees with Obesity: A Systematic Review. Diabetes Metab Syndr Obes. 2022;13(15):3121-3131. doi:10.2147/ DMSO.S384450.
Shiyab WE, Halcomb E, Rolls K, Ferguson C. The im-pact of social media interventions on weight reduction and physical activity improvement among healthy adults: systematic review. J Med Internet Res. 2023;25:1-16. doi:10.2196/38429
Sardi L, Idri A, Fernández-Alemán JL. A systematic revi-ew of gamification in e-Health. J Biomed Inform. 2017;71:31-48. doi:10.1016/j.jbi.2017.05.011.
Buckingham SA, Williams AJ, Morrissey K, Price L, Har-rison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. Digit Health. 2019;5:1-50. doi:10.1177/20552076198 39883.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 Giselle Christina Felix da Silva Palma, Marcia Ito, Jean Jose Silva, Alexandra Monteiro
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
A submissão de um artigo ao Journal of Health Informatics é entendida como exclusiva e que não está sendo considerada para publicação em outra revista. A permissão dos autores para a publicação de seu artigo no J. Health Inform. implica na exclusiva autorização concedida aos editores para incluí-lo na revista. Ao submeter um artigo, ao autor será solicitada a permissão eletrônica de um Termo de Transferência de Direitos Autorais. Uma mensagem eletrônica será enviada ao autor correspondente confirmando o recibo do manuscrito e o aceite da Declaração de Direito Autoral.
