Evidence map›Paper›PMID 39849456›Full record

ArticleBMC medical informatics and decision making2025

The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study.

Khadijeh Moulaei, Fatemeh Dinari, Abbas Sheikhtaheri, Kambiz Bahaadinbeigy, Sadrieh Hajesmaeel-Gohari

Abstract readValidation Study
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Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Khadijeh MoulaeiHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh DinariMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Abbas SheikhtaheriDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Kambiz BahaadinbeigyMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Sadrieh Hajesmaeel-GohariMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran. sadriehhajesmaili@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe growing importance of mobile apps in osteoporosis management highlights the crucial need for evaluating their utility and usability, particularly for Osteoporosis support apps. Addressing this need, the mHealth App Usability Questionnaire (MAUQ) was crafted in four different versions, categorized based on the nature of the app (interactive or standalone) and the intended user (patient or provider). Due to its usage by diverse users with varying languages, this questionnaire requires psychometric assessment in multiple languages. This study aimed to translate and validate the Persian version of MAUQ for patients.

methodAfter translating the standalone and interactive versions of MAUQ into the Persian language, face validity, content validity, and factor analysis were conducted. Ten patients with osteoporosis were involved for face validity, and ten experts in medical informatics and health information technology were invited to assess content validity by completing a questionnaire. A total of 99 patients with osteoporosis participated in the factor analysis. The reliability of the questionnaires was assessed by calculating Cronbach's alpha.

resultsThe face validity and the content of the Persian version of MAUQ were confirmed. Factor analysis of the standalone version of MAUQ showed 18 items in three dimensions: easy to use (7 items), user interface and satisfaction (6 items), and usefulness (5 items). Factor analysis of the interactive version of MAUQ showed 21 items in two dimensions: easy to use and satisfaction (11 items) and information arrangement and usefulness (10 items). The Cronbach's alpha of the questionnaire for standalone and interactive applications was 0.90.

conclusionThe psychometric assessment of the Persian MAUQ established its validity and reliability among osteoporosis patients, affirming its efficacy as a robust tool for evaluating mHealth app usability.

Indexed as

Mobile ApplicationsOsteoporosisPsychometricsTelemedicineAdultAgedFemaleHumansIranMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesIranian version of MAUQmHealthQuestionnaire validationReliabilityUsability

Identifiers

PMID39849456
PMCPMC11760090

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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.