Article ; Online: Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).
International journal of medical informatics
2022 Volume 160, Page(s) 104713
Abstract: Objective: The Health Information Technology Usability Evaluation Scale (Health-ITUES) is a validated and reliable instrument to evaluate usability of information technology (IT) tools. In this study, we aimed to establish the optimal cut-point of the ... ...
| Abstract | Objective: The Health Information Technology Usability Evaluation Scale (Health-ITUES) is a validated and reliable instrument to evaluate usability of information technology (IT) tools. In this study, we aimed to establish the optimal cut-point of the Health-ITUES to identify usability of IT tools. Methods: Adult participants were recruited to a trial evaluating a mobile app for self-managing HIV. Participants completed the Health-ITUES at the 3- and 6-month follow-up. Health-ITUES is a 20-item questionnaire that assesses four subscales: impact, perceived usefulness, perceived ease of use, and user control. The total score ranged from 1 to 5 and a higher score indicates greater usability. App use was defined as the proportion of activities completed by participants in both study arms. The selection of an optimal cut-point involved a series of multiple linear regression models with 500 bootstrap replications to examine the relationship between the Health-ITUES total score and app use, controlling for potential covariates. Results: We included 158 participants; mean age was 49.7 years (SD 10.3), 71% were African American/Black, and 72% were non-Hispanic. Mean Health-ITUES total scores at 3 and 6 months were 4.39 (SD 0.75) and 4.43 (SD 0.75), respectively. App use completedby participants from baseline to the 3-month follow-up visits was 0.61 (SD 0.36, range 0-1.72) and from 3-month to the 6-month follow-up visits was 0.51 (SD 0.37). Participants who reported greater Health-ITUES total score completed more activities [β = 0.18, 95% Confidence Interval (CI) 0.10-0.27]. The optimal cut-point of 4.32 (95% CI: 4.25-4.56) yielded the lowest p-value to identify usability of IT tools. Conclusions: In this study of adults with HIV, we identified an optimal cut-point of 4.32 on the Health-ITUES total score to define usability. Further studies are needed to validate this cut-point. |
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| MeSH term(s) | Adult ; Humans ; Information Technology ; Medical Informatics ; Middle Aged ; Mobile Applications ; Surveys and Questionnaires |
| Language | English |
| Publishing date | 2022-02-05 |
| Publishing country | Ireland |
| Document type | Clinical Trial ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, P.H.S. |
| ZDB-ID | 1466296-6 |
| ISSN | 1872-8243 ; 1386-5056 |
| ISSN (online) | 1872-8243 |
| ISSN | 1386-5056 |
| DOI | 10.1016/j.ijmedinf.2022.104713 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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