Trial reportInternational journal of medical informatics2022
Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).
Trial report in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06159582 (eSTEP), which is not on this map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
eSTEP: An Integrated mHealth Intervention to Engage High-risk Individuals Along the Full PrEP Care Continuum
Who cites it
16 citing papers in PubMed.
- Feasibility and Acceptability of the Sense2Quit App for Improving Smoking Cessation in PWH.AIDS and behavior · 2025Trial
- A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial.JMIR formative research · 2025Trial
- Japanese Health Information Technology Usability Evaluation Scale for Sexually Transmitted Infection-Related Chatbots: Development and Psychometric Validation Study.JMIR human factors · 2026Article
- Detailed HIV Self-Testing Patterns Derived from Paradata in the mLab App Clinical Trial.AIDS and behavior · 2026Article
- Testing the usability and acceptability of the NON-STOP app for children with Perthes' disease.Bone & joint open · 2026Article
- A pilot feasibility study of human-centered design for cirrhosis care: Development and pilot testing of SMARTLiver prototype, a FHIR-based clinical decision support system for hepatology.PLOS digital health · 2026Article
- User Experience Study of the Patient Monitoring Systems Based on Usability Testing and Eye Tracking.Healthcare (Basel, Switzerland) · 2024Article
- MyPEEPS Mobile App for HIV Prevention Among Transmasculine Youth: Adaptation Through Community-Based Feedback and Usability Evaluation.JMIR formative research · 2024Article
- [Development and Effectiveness Evaluation of Comprehensive Mobile-Based, Breastfeeding Promotion Program for Mothers with Gestational Diabetes].Journal of Korean Academy of Nursing · 2024Article
- Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- A Usability Survey of a Quality Improvement Data Visualization Tool Among Medical Intensive Care Unit Nurses.ACI open · 2024Article
- The Usability of a Touchpad Active Video Game Controller for Individuals With Impaired Mobility: Observational Study.JMIR rehabilitation and assistive technologies · 2023Article
- Wireless standard-compliant e-health solution for elderly people with multiuser identification.Heliyon · 2023Article
- Usability of the GAIMplank Video Game Controller for People With Mobility Impairments: Observational Study.JMIR serious games · 2023Article
- Combining human and machine intelligence for clinical trial eligibility querying.Journal of the American Medical Informatics Association : JAMIA · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
objectiveThe 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.
methodsAdult 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.
resultsWe 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.
conclusionsIn 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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