ArticleJMIR formative research2022
Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07058623 (A Randomized Controlled Trial of Nurse-Led Telehealth Versus In-Person Consultations in Detecting Complications and Improving Recovery After Total Knee Replacement), which is not on this map. Cited by 20 papers.
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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.
A Randomized Controlled Trial of Nurse-Led Telehealth Versus In-Person Consultations in Detecting Complications and Improving Recovery After Total Knee Replacement
Who cites it
20 citing papers in PubMed.
- Chinese Version of the mHealth App Usability Questionnaire for Health Care Providers: Cross-Sectional Translation and Validation Study.JMIR mHealth and uHealth · 2026Article
- Spanish Version of the mHealth App Usability Questionnaire (S-MAUQ): Translation, Adaptation, and Validation Study.JMIR mHealth and uHealth · 2026Article
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- Extreme weather-related knowledge level and educational needs among medical students: a multi-city cross-sectional study in eastern China.Frontiers in public health · 2026Article
- Greek Version of the mHealth App Usability Questionnaire (GR-MAUQ): Translation and Validation Study.Healthcare (Basel, Switzerland) · 2025Article
- Usability evaluation of a mobile mental health app for depression and anxiety self-care in Ethiopia.Discover mental health · 2025Article
- The Mexican Version of the Interactive mHealth App Usability Questionnaire (Mx-MAUQ) in Women With Breast Cancer: Instrument Validation Study.Journal of medical Internet research · 2025Article
- Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire.JMIR mHealth and uHealth · 2025Review
- AI-driven patient support: Evaluating the effectiveness of ChatGPT-4 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study.BMC medical informatics and decision making · 2025Article
- Bridging the gap in outpatient care for adolescent eating disorders: Usability of a digital mental health intervention for anorexia or bulimia nervosa.Frontiers in psychiatry · 2025Article
- The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language.BMC medical informatics and decision making · 2024Article
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- Italian Version of the mHealth App Usability Questionnaire (Ita-MAUQ): Translation and Validation Study in People With Multiple Sclerosis.JMIR human factors · 2024Article
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- Impact of gamification on green consumption behavior integrating technological awareness, motivation, enjoyment and virtual CSR.Scientific reports · 2023Article
- German Version of the mHealth App Usability Questionnaire in a Cohort of Patients With Cancer: Translation and Validation Study.JMIR human factors · 2023Article
- Self-Compassion and Authentic-Durable Happiness During COVID-19 Pandemic: The Mediating Role of Meaning of Life and the Moderating Role of COVID-19 Burnout.Psychology research and behavior management · 2022Article
- Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe usability of mobile health (mHealth) apps needs to be effectively evaluated before they are officially approved to be used to deliver health interventions. To this end, the mHealth App Usability Questionnaire (MAUQ) has been designed and proved valid and reliable in assessing the usability of mHealth apps. However, this English questionnaire needs to be translated into other languages, adapted, and validated before being utilized to evaluate the usability of mHealth apps.
objectiveThis study aims to improve, further adapt, and validate the Chinese version of the MAUQ (C-MAUQ; interactive for patients) on Left-handed Doctor, one of the most popular "reaching out to patients" interactive mHealth apps with chatbot function in China, to test the reliability and cross-cultural adaptability of the questionnaire.
methodsThe MAUQ (interactive for patients) has been translated into Chinese and validated for its reliability on Good Doctor, one of the most influential "reaching out to patients" mHealth apps without chatbot function in China. After asking for the researchers' approval to use this Chinese version, we adjusted and further adapted the C-MAUQ by checking it against the original English version and improving its comprehensibility, readability, idiomaticity, and cross-cultural adaptability. Following a trial survey completed by 50 respondents on wenjuanxing, the most popular online questionnaire platform in China, the improved version of the C-MAUQ (I-C-MAUQ) was finally used to evaluate the usability of Left-handed Doctor through an online questionnaire survey (answered by 322 participants) on wenjuanxing, to test its internal consistency, reliability, and validity.
resultsThe I-C-MAUQ still retained the 21 items and 3 dimensions of the original MAUQ: 8 items for usability and satisfaction, 6 items for system information arrangement, and 7 items for efficiency. The translation problems in the C-MAUQ, including (1) redundancy, (2) incompleteness, (3) misuse of parts of speech, (4) choice of inappropriate words, (5) incomprehensibility, and (6) cultural difference-induced improper translation, were improved. As shown in the analysis of data obtained through the online survey, the I-C-MAUQ had a better internal consistency (ie, the correlation coefficient between the score of each item and the total score of the questionnaire determined within the range of 0.861-0.938; P<.01), reliability (Cronbach α=.988), and validity (Kaiser-Meyer-Olkin=0.973), compared with the C-MAUQ. It was effectively used to test the usability of Left-handed Doctor, eliciting over 80% of informants' positive attitudes toward this mHealth app.
conclusionsThe I-C-MAUQ is highly reliable and valid for Left-handed Doctor, and suitable for testing the usability of interactive mHealth apps used by patients in China. This finding further confirms the cross-cultural validity, reliability, and adaptability of the MAUQ. We identified certain factors influencing the perceived usability of mHealth apps, including users' age, gender, education, profession, and possibly previous experience with mHealth apps and the chatbot function of such apps. Most notably, we found a wider acceptance of this new technology among young Chinese female college students who were more engaged in the interaction with health care chatbots. The age-, gender-, and profession-induced preference for new digital health interventions in China aligns with the findings in other similar studies in America and Malaysia. This preference identifies areas for further research on the social, cultural, and gender adaptation of health technologies.
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