The success of mobile health (mHealth) applications depends critically on their technical performance, yet there is a lack of standardized frameworks for their evaluation. To address this gap, this paper proposes and validates a replicable methodological framework for the technical assessment of M-Health applications using the Design Science Research Methodology (DSRM). To demonstrate its utility, the framework was applied to an educational mobile application designed to promote exclusive breastfeeding (EBF). The evaluation focused on performance, efficiency, and security across a range of low, medium, and high-end Android devices, using standardized tools such as Android Profiler and the OWASP Mobile Top 10 framework. The results indicate an efficient and stable performance, with average response times under 150 ms, moderate CPU and RAM consumption, and no critical vulnerabilities. The primary contribution of this work is not only the technical validation of the EBF application but also the presentation of a validated and replicable framework that other researchers and developers can adopt for the objective technical evaluation of mHealth solutions.

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Evaluation of the Performance and Efficiency of a Mobile Educational Application Developed to Promote Exclusive Breastfeeding during the First Six Months of Life

  • Cesar Marquinez,
  • Vladimir Villarreal,
  • Lilia Muñoz,
  • Javier Martinez,
  • Idalina Cubilla,
  • Tania Herrera

摘要

The success of mobile health (mHealth) applications depends critically on their technical performance, yet there is a lack of standardized frameworks for their evaluation. To address this gap, this paper proposes and validates a replicable methodological framework for the technical assessment of M-Health applications using the Design Science Research Methodology (DSRM). To demonstrate its utility, the framework was applied to an educational mobile application designed to promote exclusive breastfeeding (EBF). The evaluation focused on performance, efficiency, and security across a range of low, medium, and high-end Android devices, using standardized tools such as Android Profiler and the OWASP Mobile Top 10 framework. The results indicate an efficient and stable performance, with average response times under 150 ms, moderate CPU and RAM consumption, and no critical vulnerabilities. The primary contribution of this work is not only the technical validation of the EBF application but also the presentation of a validated and replicable framework that other researchers and developers can adopt for the objective technical evaluation of mHealth solutions.