Evidence map›Paper›PMID 42526020›Full record

ArticleJMIR mHealth and uHealth2026

Chinese Version of the mHealth App Usability Questionnaire for Health Care Providers: Cross-Sectional Translation and Validation Study.

Mengxia Chen, Wenjun Gao, Yijie Pan, Mengdi Wang, Bing Yu, Dongmei Li, Huanhuan Hu, Jing Zheng, Lingjuan Zhang, Yuan Gao

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Article in JMIR mHealth and uHealth, 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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5 · Who and what money

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10 authors.

Mengxia Chen *Department of Nursing, the First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.ORCID 0000-0002-6972-6315
Wenjun Gao *Nursing College, Naval Medical University, Shanghai, China.ORCID 0000-0002-5767-1396
Yijie Pan *Education and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.ORCID 0009-0006-4023-9819
Mengdi WangDepartment of Emergency and Critical Care Medicine, The 961th Hospital of Joint Logistics Support Force, Qiqihaer, China.ORCID 0009-0008-0120-4837
Bing YuEducation and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.ORCID 0009-0002-0187-0588
Dongmei LiNeurovascular Center, Changhai Hospital, Shanghai, China.ORCID 0009-0008-9586-0834
Huanhuan HuNeurovascular Center, Changhai Hospital, Shanghai, China.ORCID 0009-0006-7404-1114
Jing ZhengNeurovascular Center, Changhai Hospital, Shanghai, China.ORCID 0009-0000-7259-1311
Lingjuan Zhang *Education and Scientific Research Department of Clinical Nursing, Changhai Hospital, Shanghai, China.ORCID 0000-0003-2019-7317
Yuan Gao *Department of Nursing, the First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.ORCID 0000-0002-6064-2545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid proliferation of mobile health (mHealth) apps in clinical practice, ensuring their usability for health care providers is critical to optimize workflow integration and service delivery. The mHealth App Usability Questionnaire (MAUQ) is a validated tool for assessing usability, but its applicability in Chinese health care settings remains untested. Cross-cultural adaptation and validation of the MAUQ for interactive apps are essential to address this gap.

objectiveThis study aimed to translate the MAUQ (for interactive apps for health care providers) into Chinese (MAUQ-C), adapt it to the Chinese health care context, and validate its psychometric properties for future mHealth research and use in China.

methodsThis cross-sectional study followed international guidelines for cross-cultural adaptation, including forward translation, backward translation, expert review, and pretesting. A convenience sample of 382 health care providers (eg, physicians and nurses) using mHealth apps was recruited from 2 hospitals in China. Reliability was evaluated using the Cronbach α, test-retest reliability, and split-half reliability. Validity was assessed through content validity index, exploratory factor analysis, and confirmatory factor analysis.

resultsThe MAUQ-C retained the original 21-item structure and 3 dimensions. Content validity index values ranged from 0.833 to 1.000 (Scale-Content Validity Index/Average=0.992). Exploratory factor analysis identified a 3-factor model explaining 63.48% of the total variance. Confirmatory factor analysis confirmed a good model fit (minimum discrepancy/df=1.810; cumulative fit index=0.950; root-mean-square error of approximation=0.058). The Cronbach α for the total scale was 0.919, with dimension-specific values of 0.928, 0.877, and 0.886. Test-retest reliability was 0.881, and split-half reliability was 0.726. These results confirm that the MAUQ-C effectively measures usability across the dimensions of usability and satisfaction, system information arrangement, and efficiency.

conclusionsThe MAUQ-C is a reliable and valid instrument for evaluating mHealth app usability among Chinese health care providers. It can serve as a critical tool to guide the development and optimization of mHealth solutions tailored to the Chinese health care system.

Indexed as

Health PersonnelMobile ApplicationsPsychometricsAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesTelemedicineTranslatingTranslationsChinesehealth care providermHealth appmobile health appquestionnaire translationusability

Identifiers

PMID42526020
PMCPMC13469830

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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.