A multi-level usability evaluation of mobile health applications: A case study

J Biomed Inform. 2018 Oct:86:79-89. doi: 10.1016/j.jbi.2018.08.012. Epub 2018 Aug 23.

Abstract

Objective: To report a methodological approach for the development of a usable mHealth application (app).

Materials and methods: This work was guided by a 3-level stratified view of health information technology (IT) usability evaluation framework. We first describe a number of methodologies for operationalizing each level of the framework. Following the description of each methodology, we present a case study which illustrates the use of our preferred methodologies for the development of a mHealth app. At level 1 (user-task), we applied a card sorting technique to guide the information architecture of a mobile HIV symptom self-management app, entitled mVIP. At level 2 (user-task-system), we conducted a usability evaluation of mVIP in a laboratory setting through end-user usability testing and heuristic evaluation with informatics experts. At level 3 (user-task-system-environment), usability of mVIP was evaluated in a real-world setting following the use of the app during a 3-month trial.

Results: The 3-level usability evaluation guided our work exploring in-depth interactions between the user, task, system, and environment. Integral to the findings from the 3-level usability evaluation, we iteratively refined the app's content, functionality, and interface to meet the needs of our intended end-users.

Discussion and conclusion: The stratified view of the health IT usability evaluation framework is a useful methodological approach for the design, development, and evaluation of mHealth apps. The methodological recommendations for using the theoretical framework can inform future usability studies of mHealth apps.

Keywords: Case study; Health information technology; Information systems; Mobile Health; Mobile applications; Usability evaluation.

Publication types

  • Multicenter Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Academic Medical Centers
  • Algorithms
  • Evidence-Based Medicine
  • HIV Infections / diagnosis*
  • HIV Infections / therapy*
  • Health Promotion / methods
  • Humans
  • Medical Informatics / methods*
  • Mobile Applications*
  • New York City
  • Patient Participation*
  • Program Development
  • Reproducibility of Results
  • Telemedicine / methods
  • User-Computer Interface