Evidence map›Paper›PMID 39623408›Full record

ArticleBMC medical informatics and decision making2024

The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language.

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

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In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sadrieh Hajesmaeel-Gohari *Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Abbas Sheikhtaheri *Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh DinariDepartment of Health Information Management, School of Health Management and Information Sciences, Student Research Committee, Health Human, Resources Research Center , Shiraz University of Medical Sciences, Shiraz, Iran.
Jamileh FarokhzadianNursing Research Center, Kerman University of Medical Science, Kerman, Iran.
Kambiz BahaadinbeigyClinical Workshops instructor, Digital Health Specialist , The Australian College of Rural and Remote Medicine ( ACRRM ), Brisbane, Australia.
Khadijeh MoulaeiHealth Management and Economics Research Center, Health Management Research Institute , Iran University of Medical Sciences, Tehran, Iran. Moulaei.kh91@gmail.com.

Funding

Kerman University of Medical Sciences 401000906
6 · The paper itself

Abstract

introductionmHealth apps are widely utilized in healthcare. To guarantee their usefulness and usability, it is crucial to assess them using a reliable scale tailored specifically for mHealth apps and their users.

objectiveThe aim of this study is the psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in Persian language.

methodThe Persian translations of standalone and interactive versions of the MAUQ for healthcare providers underwent validation. Face validity, content validity, and factor analysis were conducted to validate these two versions. Ten nurses evaluated face validity, while ten nursing and psychometric analysis experts assessed content validity. Factor analysis involved 98 nurses. The reliability of the questionnaires was measured using Cronbach's alpha.

resultsThe translated questionnaires were validated, confirming both face validity (impact score ≥ 2.40) and content validity (k*≥0.66). The Persian version of the MAUQ for standalone applications had 18 items across two dimensions: easy to use and usefulness (11 items) and user interface and satisfaction (7 items). The Persian version of the MAUQ for interactive applications had 21 items across three dimensions: easy to use (4 items), usefulness (5 items), and user interface and satisfaction (12 items). Both standalone and interactive versions demonstrated high internal consistency with a Cronbach's alpha of 0.96.

conclusionsThe psychometric assessment of the provider version of MAUQ in Persian language has the reliability and validity required to assess mHealth applications usability.

Indexed as

Mobile ApplicationsPsychometricsTelemedicineAdultFemaleHumansIranMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesTranslationsMAUQMobile appsPersian languagePsychometric assessmentTelemedicineUsability questionnaire

Identifiers

PMID39623408
PMCPMC11613550

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.