ArticleJMIR mHealth and uHealth2018
Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
133 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.Journal of healthcare engineering · 2021Pooled it
- Preventing Prescription Stimulant Diversion and Misuse via a Web-Based Intervention: A Randomized Controlled Trial.Journal of attention disorders · 2026Trial
- Feasibility and Usability of an mHealth App (mLab+) to Guide Users Through HIV and Syphilis Self-Testing: Pilot Randomized Controlled Trial.JMIR formative research · 2025Trial
- Evaluation of a Digital Health Model of Care for the Management of Adults With Symptomatic Malignant Pleural Effusion.Respirology case reports · 2025Trial
- Feasibility and Acceptability of the Sense2Quit App for Improving Smoking Cessation in PWH.AIDS and behavior · 2025Trial
- Providing 2 Types of mHealth Interventions to Support Self-Management Among People Living With HIV: Randomized Clinical Trial.JMIR mHealth and uHealth · 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
- Community-Based, Cluster-Randomized Pilot Trial of a Cardiovascular Mobile Health Intervention: Preliminary Findings of the FAITH! Trial.Circulation · 2022Trial
- Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).International journal of medical informatics · 2022Trial
- Mobile health assisted self-monitoring is acceptable for supporting weight loss in rural men: a pragmatic randomized controlled feasibility trial.BMC public health · 2021Trial
- Efficacy, Use, and Usability of the VIP-HANA App for Symptom Self-management in PLWH with HANA Conditions.AIDS and behavior · 2021Trial
- Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV.AIDS and behavior · 2018Trial
- Development and User Testing of an Online Platform to Deliver School-Based Inclusive Physical Education Solutions: Mixed Methods Study.JMIR human factors · 2026Article
- Mixed-Methods User-Centered Design Evaluation of an Electronic Patient-Reported Outcomes System to Enhance Postdischarge Care for Thoracic Surgery Patients.The Journal of surgical research · 2026Article
- Psychometric evaluation of the Spanish-language version of the health information technology usability evaluation scale (Health-ITUES).International journal of medical informatics · 2026Article
- Public Reporting Systems in Health Care and the Underconceptualized Technical Substrate, a Core Information Systems Dimension: Scoping Review.JMIR medical informatics · 2026Article
- A Novel Mobile Health Software Platform to Improve Emergency Medical Systems: 912Rwanda.Research square · 2026Article
- Japanese Health Information Technology Usability Evaluation Scale for Sexually Transmitted Infection-Related Chatbots: Development and Psychometric Validation Study.JMIR human factors · 2026Article
73 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundMobile technology has become a ubiquitous technology and can be particularly useful in the delivery of health interventions. This technology can allow us to deliver interventions to scale, cover broad geographic areas, and deliver technologies in highly tailored ways based on the preferences or characteristics of users. The broad use of mobile technologies supports the need for usability assessments of these tools. Although there have been a number of usability assessment instruments developed, none have been validated for use with mobile technologies.
objectiveThe goal of this work was to validate the Health Information Technology Usability Evaluation Scale (Health-ITUES), a customizable usability assessment instrument in a sample of community-dwelling adults who were testing the use of a new mobile health (mHealth) technology.
methodsA sample of 92 community-dwelling adults living with HIV used a new mobile app for symptom self-management and completed the Health-ITUES to assess the usability of the app. They also completed the Post-Study System Usability Questionnaire (PSSUQ), a widely used and well-validated usability assessment tool. Correlations between these scales and each of the subscales were assessed.
resultsThe subscales of the Health-ITUES showed high internal consistency reliability (Cronbach alpha=.85-.92). Each of the Health-ITUES subscales and the overall scale was moderately to strongly correlated with the PSSUQ scales (r=.46-.70), demonstrating the criterion validity of the Health-ITUES.
conclusionsThe Health-ITUES has demonstrated reliability and validity for use in assessing the usability of mHealth technologies in community-dwelling adults living with a chronic illness.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.