Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for Evaluating Mobile Health (mHealth) Technology
By William Brown, Po-Yin Yen, Marlene Rojas, Rebecca Schnall. Journal of Biomedical Informatics, 2013
313 citations recorded by the source corpus.
Background Over two decades of research has been conducted using mobile devices for health related behaviors yet many of these studies lack rigor. There are few evaluation frameworks for assessing the usability of mHealth, which is critical as the use of this technology proliferates. As the development of interventions using mobile technology increase, future work in this domain necessitates the use of a rigorous usability evaluation framework. Methods We used two exemplars to assess the appropriateness of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating the usability of mHealth technology. In the first exemplar, we conducted 6 focus group sessions to explore adolescents’ use of mobile technology for meeting their health Information needs. In the second exemplar, we conducted 4 focus group sessions following an Ecological Momentary Assessment study in which 60 adolescents were given a smartphone with pre-installed health-related applications (apps). Data Analysis We coded the focus group data using the 9 concepts of the Health-ITUEM: Error prevention, Completeness, Memorability, Information needs, Flexibility/Customizability, Learnability, Performance speed, Competency, Other outcomes. To develop a finer granularity of analysis, the nine concepts were broken into positive, negative, and neutral codes. A total of 27 codes were created. Two raters (R1 & R2) initially coded all text and a third rater (R3) reconciled coding discordance between raters R1 and R2. Results A total of 133 codes were applied to Exemplar 1. In Exemplar 2 there were a total of 286 codes applied to 195 excerpts. Performance speed, Other outcomes, and Information needs were among the most frequently occurring codes. Conclusion Our two exemplars demonstrated the appropriateness and usefulness of the Health-ITUEM in evaluating mobile health technology. Further assessment of this framework with other study populations should consider whether Memorability and Error prevention are necessary to include when evaluating mHealth technology.
Subfields: Demography, General Health Professions, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/f320eb39a11da98a22f1a99f938d81cb1eb265c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Human-Computer Interaction
Citations in the corpus
- IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior (2016, methodology): “Among the frameworks that do are Yardley et al’s [10] person-based approach, Ludden et al’s [37] design research perspective, and Brown et al’s [38] health information technology usability evaluation model.”
- Methods of usability testing in the development of eHealth applications: A scoping review (2019, unknown): “There is a need to ensure that health technologies are appropriately designed and targeted to the end-users’ needs before they are used as health interventions [14].”
- The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study (2019, methodology): “…Usability Measurement Inventory [19], Questionnaire for User Interaction Satisfaction [20], Computer Usability Satisfaction Questionnaire [16], Health IT Usability Evaluation Scale (Health ITUES) [21,22], and NASA Task Load Index [23] as well as a number of self-written usability questionnaires.”