Malay Version of the mHealth App Usability Questionnaire (M-MAUQ): Translation, Adaptation, and Validation Study

Mustafa, Norashikin; Safii, Nik Shanita; Jaffar, Aida; Sani, Nor Samsiah; Mohamad, Mohd Izham; Rahman, Abdul Hadi Abd; Sidik, Sherina Mohd

doi:10.2196/24457

Cited by 34 publications

(50 citation statements)

References 31 publications

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“…(3) different functions of the tested interactive mHealth apps used by patients (with vs without the chatbot function); and (4) respondents' experience with mHealth apps. Similarly, we found that the reliability of the I-C-MAUQ was relatively higher than those reported in Mustafa et al [13] (Cronbach α=.946; corrected item-total correlation values between -0.057 and 0.868) and Zhou et al [9] (Cronbach α=.914). We once again attributed the reliability difference to the aforesaid 4 factors, which will be discussed in the following sections.…”

Section: Principal Findingssupporting

confidence: 62%

Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study

Shan¹,

Ji²,

Xie³

et al. 2022

JMIR Form Res

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Background The 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. Objective This 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. Methods The 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. Results The 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. Conclusions The 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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Section: Principal Findingssupporting

confidence: 62%

Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study

Shan¹,

Ji²,

Xie³

et al. 2022

JMIR Form Res

View full text Add to dashboard Cite

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Section: Introductionmentioning

confidence: 99%

“…It is mainly used to study the usability of digital healthcare systems. Its standalone patient version has been translated into the Malaysian version, and it has shown an acceptable practicability ( Mustafa et al, 2021 ). However, China has not yet introduced a Chinese version of the MAUQ, the present study aimed to translate and verify the patient version of the interactive mHealth app usability questionnaire (MAUQ) into Chinese, and to provide a usability testing tool for developers of mHealth apps in China.…”

Section: Introductionmentioning

confidence: 99%

Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation

Zhao

Cao

et al. 2022

Front. Psychol.

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BackgroundMobile health (mHealth) apps have shown the advantages of improving medication compliance, saving time required for diagnosis and treatment, reducing medical expenses, etc. The World Health Organization (WHO) has recommended that mHealth apps should be evaluated prior to their implementation to ensure their accuracy in data analysis.ObjectiveThis study aimed to translate the patient version of the interactive mHealth app usability questionnaire (MAUQ) into Chinese, and to conduct cross-cultural adaptation and reliability and validity tests.MethodsThe Brislin’s translation model was used in this study. The cross-cultural adaptation was performed according to experts’ comments and the results of prediction test. The convenience sampling method was utilized to investigate 346 patients who used the “Good Doctor” (“Good Doctor” is the most popular mHealth app in China), and the reliability and validity of the questionnaire were evaluated as well.ResultsAfter translation and cross-cultural adaptation, there were a total of 21 items and 3 dimensions: usability and satisfaction (8 items), system information arrangement (6 items), and efficiency (7 items). The content validity index was determined to be 0.952, indicating that the 21 items used to evaluate the usability of the Chinese version of the MAUQ were well correlated. The Cronbach’s α coefficient of the total questionnaire was 0.912, which revealed that the questionnaire had a high internal consistency. The values of test-retest reliability and split-half reliability of the Chinese version of the MAUQ were 0.869 and 0.701, respectively, representing that the questionnaire had a good stability.ConclusionThe translated questionnaire has good reliability and validity in the context of Chinese culture, and it could be used as a usability testing tool for the patient version of interactive mHealth apps.

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“…The Malay-mHealth App Usability Questionnaire (M-MAUQ) will be used [ 46 , 50 ] to evaluate the feasibility and usability of the app. This questionnaire will assess the ease of use, interface, satisfaction, and mHealth app usefulness to the study participants.…”

Section: Methodsmentioning

confidence: 99%

“…(8) What motivates you to continue the PFMT? (Further information will be collected via qualitative data feedback) Malay-mHealth App Usability Questionnaire (M-MAUQ) will be used [46,50] to assess the ease of use, interface, satisfaction, and the usefulness of mHealth apps to the end user. Secondary Outcomes Information The log system records.…”

Section: Primary Outcome Informationmentioning

confidence: 99%

Protocol of a Single-Blind Two-Arm (Waitlist Control) Parallel-Group Randomised Controlled Pilot Feasibility Study for mHealth App among Incontinent Pregnant Women

Jaffar

Sidik

Foo

et al. 2021

IJERPH

Self Cite

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Background: The delivery of pelvic floor muscle training (PFMT) through mHealth apps has been shown to produce promising results in improving pelvic floor muscle strength and urinary incontinence (UI). However, there is limited evidence on mHealth apps designed for pregnant women who are at high risk of developing UI. This pilot study aims to evaluate the feasibility of conducting an effectiveness trial for a newly developed PFMT app among pregnant women in Malaysia. Methods: This is a prospective, single-centre, single-blind, randomised controlled pilot feasibility study: The Kegel Exercise Pregnancy Training app (KEPT-app) Trial. Sixty-four incontinent pregnant women who attended one primary care clinic for the antenatal follow-up will be recruited and randomly assigned to either intervention or waitlist control group. The intervention group will receive the intervention, the KEPT-app developed from the Capability, Opportunity, Motivation-Behaviour (COM-B) theory with Persuasive Technology and Technology Acceptance Model. Discussion: This study will provide a fine-tuning for our future randomised control study on the recruitment feasibility methods, acceptability, feasibility, and usability of the KEPT-app, and the methods to reduce the retention rates among pregnant women with UI. Trial registration: This study was registered on ClinicalTrials.gov on 19 February 2021 (NCT04762433) and is not yet recruiting.

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Malay Version of the mHealth App Usability Questionnaire (M-MAUQ): Translation, Adaptation, and Validation Study

Cited by 34 publications

References 31 publications

Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study

Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study

Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation

Protocol of a Single-Blind Two-Arm (Waitlist Control) Parallel-Group Randomised Controlled Pilot Feasibility Study for mHealth App among Incontinent Pregnant Women

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