Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12920, first published .
Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder

Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder

Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder

Journals

  1. Odendaal W, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2020 View
  2. Anastasiadou D, Folkvord F, Brugnera A, Cañas Vinader L, SerranoTroncoso E, Carretero Jardí C, Linares Bertolin R, Muñoz Rodríguez R, Martínez Nuñez B, Graell Berna M, Torralbas‐Ortega J, Torrent‐Solà L, Puntí‐Vidal J, Carrera Ferrer M, Muñoz Domenjó A, Diaz Marsa M, Gunnard K, Cusido J, Arcal Cunillera J, Lupiañez‐Villanueva F. An mHealth intervention for the treatment of patients with an eating disorder: A multicenter randomized controlled trial. International Journal of Eating Disorders 2020;53(7):1120 View
  3. Lupiáñez-Villanueva F, Folkvord F, Vanden Abeele M. Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study. JMIR mHealth and uHealth 2020;8(6):e17272 View
  4. Drissi N, Ouhbi S, Janati Idrissi M, Fernandez-Luque L, Ghogho M. Connected Mental Health: Systematic Mapping Study. Journal of Medical Internet Research 2020;22(8):e19950 View
  5. Lim H, Dunn A, Muhammad Firdaus Ooi S, Teo C, Abdullah A, Woo W, Ng C. mHealth adoption among primary care physicians in Malaysia and its associated factors: a cross-sectional study. Family Practice 2020 View
  6. Oyebode O, Alqahtani F, Orji R. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews. IEEE Access 2020;8:111141 View
  7. Holtz B, McCarroll A, Mitchell K. Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study. JMIR Formative Research 2020;4(8):e18347 View
  8. Aboelmaged M, Hashem G, Mouakket S. Predicting subjective well-being among mHealth users: a readiness – value model. International Journal of Information Management 2021;56:102247 View
  9. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  10. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  11. Couturier J, Pellegrini D, Miller C, Bhatnagar N, Boachie A, Bourret K, Brouwers M, Coelho J, Dimitropoulos G, Findlay S, Ford C, Geller J, Grewal S, Gusella J, Isserlin L, Jericho M, Johnson N, Katzman D, Kimber M, Lafrance A, Leclerc A, Loewen R, Loewen T, McVey G, Norris M, Pilon D, Preskow W, Spettigue W, Steinegger C, Waite E, Webb C. The COVID-19 pandemic and eating disorders in children, adolescents, and emerging adults: virtual care recommendations from the Canadian consensus panel during COVID-19 and beyond. Journal of Eating Disorders 2021;9(1) View
  12. Sansone V, Dall'Oglio I, Gesualdo F, Cancani F, Cecchetti C, Di Nardo M, Rossi A, De Ranieri C, Alvaro R, Tiozzo E, Gawronski O. Narrative diaries in pediatrics: A scoping review. Journal of Pediatric Nursing 2021 View