Evidence map›Paper›PMID 42172725›Full record

ArticleInternational journal of medical informatics2026

Psychometric evaluation of the Spanish-language version of the health information technology usability evaluation scale (Health-ITUES).

Lauren Gerchow, Rebecca Schnall, Jianfang Liu

Abstract read
In one paragraph

Article in International journal of medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lauren GerchowColumbia University School of Nursing, New York, NY, USA. Electronic address: LMG2140@cumc.columbia.edu.
Rebecca SchnallColumbia University School of Nursing, New York, NY, USA.
Jianfang LiuColumbia University School of Nursing, New York, NY, USA.

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Implementation of Screen, Treat, and Triage for Women Living with HIV in La Romana (iSTAR)U01CA275110 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pamela Antonia Báez, Rebecca Schnall · 2024 to 2026
$1.7M
AHRQ HHS R18 HS028523NCI NIH HHS U01 CA275110NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

introductionRigorous development of mobile health technologies must include assessments to ensure interventions are effective and sustainable across diverse populations. Spanish-speaking individuals represent the largest linguistic minority in the United States and globally. Several general and modality-specific usability instruments exist in Spanish; however, a validated Spanish version of Health-ITUES-a health IT-specific, customizable instrument designed for broad HIT contexts-has been lacking. The purpose of this study was to evaluate the psychometric properties of the Spanish-language version of the Health Information Technology Usability Evaluation Scale (Health-ITUES).

methodsWe analyzed survey data from 125 Spanish-speaking participants (aged 18-64 years), including 18 health professionals from the Dominican Republic and 107 persons living with HIV in New York City or the Dominican Republic. Participants interacted with a mobile health technology and completed the Health-ITUES after use. Psychometric evaluation included exploratory factor analysis, internal consistency reliability, construct validity, and criterion validity assessed through correlations with the Post-Study System Usability Questionnaire (PSSUQ).

resultsExploratory factor analysis supported a three-factor structure (Impact and Perceived Usefulness, Perceived Ease of Use, and User Control) with strong model fit (RMSR = 0.04) and internal consistency (Cronbach's α = 0.79-0.96). Within-factor correlations were higher than between-factor correlations, supporting construct validity. Criterion validity was established through significant correlations with PSSUQ subscales (r = 0.44-0.86, p < 0.001).

conclusionThe Spanish Health-ITUES demonstrated strong reliability and validity in both patient and provider samples. Findings will contribute to the rigor of research by developing a linguistically and culturally relevant usability instrument to improve inclusion of Spanish-speaking populations in digital health research.

Indexed as

Medical InformaticsPsychometricsTelemedicineAdolescentAdultDigital HealthDominican RepublicFemaleHumansLanguageMaleMiddle AgedNew York CityReproducibility of ResultsSurveys and QuestionnairesYoung AdultInstrument translationMobile health technologyPsychometric evaluationSpanish languageUsability

Identifiers

PMID42172725
PMCPMC13273405

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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.