This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2491) Mobile Health (mhealth) (2982) Human Factors and Usability Case Studies (809) Research Instruments, Questionnaires, and Tools (589) Design and Formative Evaluation of Mobile Apps (706)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37933, first published .
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 Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study

Authors of this article:

Yi Shan1 Author Orcid Image ;   Meng Ji2 Author Orcid Image ;   Wenxiu Xie3 Author Orcid Image ;   Rongying Li4 Author Orcid Image ;   Xiaobo Qian5 Author Orcid Image ;   Xiaomin Zhang6 Author Orcid Image ;   Tianyong Hao5 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

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  2. Wu D, Ye B, Tang C, Xue J, Yang Q, Xia F. 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 2022;Volume 15:3243 View
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  5. Shahzad M, Xu S, Rehman O, Javed I. Impact of gamification on green consumption behavior integrating technological awareness, motivation, enjoyment and virtual CSR. Scientific Reports 2023;13(1) View
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  8. Huang M, Mohamad Saleh M, Zolkepli I. The moderating effect of environmental gamification on the relationship between social media marketing and consumer-brand engagement: A case study of Ant Forest Gen Z users. Heliyon 2024;10(4):e25948 View
  9. Yu H, Qiu W, Wang Y, Wu Q, Hu K, Ye Q, Yang Q. Development and validation of a mobile health application usability scale for older adults with chronic diseases (Preprint). JMIR Aging 2023 View
  10. Kokila , Jain R, Munde A, Ansari Z. Determinants of Adoption of Mobile Health Applications: A Machine Learning Approach. Procedia Computer Science 2024;235:1568 View
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