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

Usability of Apps and User Perceptions of mHealth (993) User Training and Skills (51)

Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12349, first published .
Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction

Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction

Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction

Authors of this article:

Juliana Chen1 Author Orcid Image ;   Margaret Allman-Farinelli1 Author Orcid Image
Article Authors Cited by (24) Tweetations (5) Metrics

Journals

  1. Aure C, Kluge A, Moen A. Promoting dietary awareness: Home‐dwelling older adults’ perspectives on using a nutrition application. International Journal of Older People Nursing 2020;15(4) View
  2. Al-Lami N, Sear K, Dai W, Chen J. Obesity Applications in Smartphones: Development and Use of an Evaluation Tool. Journal of Pediatric Health Care 2020;34(4):377 View
  3. Byambasuren O, Beller E, Hoffmann T, Glasziou P. mHealth App Prescription in Australian General Practice: Pre-Post Study. JMIR mHealth and uHealth 2020;8(6):e16497 View
  4. Lee J, Kang M, Lee S. Effects of the e-Motivate4Change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study. Journal of Medical Internet Research 2020;22(7):e17031 View
  5. Smith L, Argentina V. The Usability of Physical Activity and Cognitive Training Applications in People With Mild Cognitive Impairment. Research in Gerontological Nursing 2020;13(2):64 View
  6. Lancaster R, Radd‐Vagenas S, Fiatarone Singh M, Noble Y, Daniel K, Mavros Y, Sachdev P, Lautenschlager N, Cox K, Brodaty H, O'Leary F, Flood V. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information. Nutrition & Dietetics 2021;78(2):145 View
  7. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  8. Kelly J, Allman‐Farinelli M, Chen J, Partridge S, Collins C, Rollo M, Haslam R, Diversi T, Campbell K. Dietitians Australia position statement on telehealth. Nutrition & Dietetics 2020;77(4):406 View
  9. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1) View
  10. Chen J, Bertrand S, Galy O, Raubenheimer D, Allman-Farinelli M, Caillaud C. The Design and Development of a Food Composition Database for an Electronic Tool to Assess Food Intake in New Caledonian Families. Nutrients 2021;13(5):1668 View
  11. Alkhaldi O, McMillan B, Maddah N, Ainsworth J. Interventions Aimed at Enhancing Health Care Providers’ Behavior Toward the Prescription of Mobile Health Apps: Systematic Review. JMIR mHealth and uHealth 2023;11:e43561 View
  12. Al-Azzam M, Algalil F. Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care. Applied Bionics and Biomechanics 2021;2021:1 View
  13. Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
  14. Susanti A, Ali M, Hernawan A, Rinawan F, Purnama W, Puspitasari I, Stellata A. Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives’ Competency and Service Needs. International Journal of Environmental Research and Public Health 2022;19(21):13893 View
  15. Chen J, Grech A, Allman-Farinelli M. Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring. Nutrients 2022;14(22):4822 View
  16. Gianfrancesco C, Taylor C, Croot L. Self‐completed online dietary recalls as an alternative method of dietary assessment for dietetic outpatient appointments: A feasibility study. Journal of Human Nutrition and Dietetics 2023;36(1):126 View
  17. Shima M, Piovacari S, Steinman M, Pereira A, dos Santos O. Telehealth for Nutritional Care: A Tool for Improving Patient Flow in Hospitals. Telemedicine Reports 2022;3(1):117 View
  18. Mai F, Ko D, Shan Z, Zhang D. The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study. Journal of Medical Internet Research 2023;25:e44981 View
  19. Farooq M, RAJA H. Mobile Health Applications to Develop an Active and Healthy Life of Senior Citizen. VFAST Transactions on Software Engineering 2022;10(1):56 View
  20. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  21. DiFilippo K, Chapman-Novakofski K. Mobile Apps for Hypertension Management. Topics in Clinical Nutrition 2024;39(2):147 View
  22. Gardener S, Fuller S, Naismith S, Baker L, Kivipelto M, Villemagne V, Grieve S, Yates P, Rainey‐Smith S, Chen J, Thompson B, Armstrong N, Fernando M, Blagojevic Castro C, Meghwar S, Raman R, Gleason A, Ireland C, Clarnette R, Anstey K, Taddei K, Garg M, Sohrabi H, Martins R. The AUstralian multidomain Approach to Reduce dementia Risk by prOtecting brain health With lifestyle intervention study (AU‐ARROW): A study protocol for a single‐blind, multi‐site, randomized controlled trial. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2024;10(2) View
  23. Li X, Yin A, Choi H, Chan V, Allman-Farinelli M, Chen J. Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care. Nutrients 2024;16(15):2573 View
  24. Alkhaldi O, McMillan B, Ainsworth J. Using the behaviour change wheel to develop a tailored intervention to overcome general practitioners’ perceived barriers to referring insomnia patients to digital therapeutic sleepio. BMC Health Services Research 2024;24(1) View