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
The objective of the article is to evaluate the usability of a mobile application (Healthfy) that makes the prevention and control of overweight and obesity in adults. For the evaluation, a questionnaire adapted from the uMARS method was applied, which was validated by Cronbach's Alpha analysis. Healthfy was used by 26 employees for 21 days of exclusive Home Office. The Pareto method was used for the quantitative statistical analysis, and for the free field responses, the Bardin Content Analysis method. The uMARS validation achieved acceptable reliability (??=0.79). The application met the expectation and encouraged changes in health-related behaviors with a 73.03% agreement. The qualitative analysis of 53 testimonies showed a greater recurrence of records related to behavior to change habits (45%). Thus, it is possible to conclude that the application has characteristics that interfere in the behavior and motivation for healthy habits by workers in an exclusive home office, although there seem to be users limitations in planning and execution of activities.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.
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Direitos de Autor (c) 2023 Giselle Christina Felix da Silva Palma, Marcia Ito, Jean Jose Silva, Alexandra Monteiro
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição-NãoComercial-CompartilhaIgual 4.0.
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