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

Development and Evaluation of Research Methods, Instruments and Tools (652) Evaluation and Research Methodology for mHealth (221) Quality/Credibility of eHealth Information and Trust Issues (609) Research Instruments, Questionnaires, and Tools (672) Development of Instruments and Surveys (93) Usability of Apps and User Perceptions of mHealth (1097) Mobile Health (mhealth) (3198)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50839, first published .
mHealth App Usability Questionnaire for Stand-Alone mHealth Apps Used by Health Care Providers: Canadian French Translation, Cross-Cultural Adaptation, and Validation (Part 1)

mHealth App Usability Questionnaire for Stand-Alone mHealth Apps Used by Health Care Providers: Canadian French Translation, Cross-Cultural Adaptation, and Validation (Part 1)

mHealth App Usability Questionnaire for Stand-Alone mHealth Apps Used by Health Care Providers: Canadian French Translation, Cross-Cultural Adaptation, and Validation (Part 1)

Authors of this article:

Julie Gagnon1, 2 Author Orcid Image ;   Sebastian Probst3, 4, 5 Author Orcid Image ;   Julie Chartrand1, 6 Author Orcid Image ;   Michelle Lalonde1, 7 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

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  1. Valera‐Calero J, Varol U, Ortega‐Santiago R, Navarro‐Santana M, Díaz‐Arribas M, Buffet‐García J, Plaza‐Manzano G. MyofAPPcial: Construct validity of a novel technological aid for improving clinical reasoning in the management of myofascial pain syndrome. European Journal of Clinical Investigation 2024;54(12) View
  2. Sharkasi N, Agag G. How does risk interplay with trust in pre-and post-purchase intention to engage: PLS-SEM and ML classification approach. Journal of Marketing Analytics 2024 View
  3. Podda J, Grange E, Susini A, Tacchino A, Di Antonio F, Pedullà L, Brichetto G, Ponzio M. Italian Version of the mHealth App Usability Questionnaire (Ita-MAUQ): Translation and Validation Study in People With Multiple Sclerosis. JMIR Human Factors 2024;11:e58079 View
  4. Gagnon J, Chartrand J, Probst S, Maillet É, Reynolds E, Lalonde M. Co‐creation and evaluation of an algorithm for the development of a mobile application for wound care among new graduate nurses: A mixed methods study. International Wound Journal 2024;21(10) View
  5. Hajesmaeel-Gohari S, Sheikhtaheri A, Dinari F, Farokhzadian J, Bahaadinbeigy K, Moulaei K. The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language. BMC Medical Informatics and Decision Making 2024;24(1) View
  6. Gary J. Information push strategies in e-commerce:emotional and cognitive mechanisms shaping purchase decisions: multi-method approaches. Journal of Marketing Analytics 2025 View
  7. Versluis A, Boels A, Huijden M, Mijnsbergen M, Rutten G, Vos R. Diabetes self‐management education and support delivered by mobile health (mHealth) interventions for adults with type 2 diabetes—A systematic review and meta‐analysis. Diabetic Medicine 2025;42(5) View
  8. Villaboni S, Pinto V, Gianesin B, Casale M, Perrotta S, Mazzi F, Ceolan J, Pirrone R, Cavellini P, Gigante A, Calvillo M, Origa R, Forni G, Franceschi L. The novel SCD MED ALERT mHealth app: empowering patients with sickle cell disease. Rare Disease and Orphan Drugs Journal 2025;4(1) View