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

Formative Evaluation of Digital Health Interventions (2491) Chatbots and Conversational Agents (543) Diabetes Self-Management (495) Health Coaching for Diabetes Patients (150)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28091, first published .
Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Authors of this article:

Mari Haaland Sagstad1, 2 Author Orcid Image ;   Nils-Halvdan Morken2, 3 Author Orcid Image ;   Agnethe Lund2, 3 Author Orcid Image ;   Linn Jannike Dingsør1 Author Orcid Image ;   Anne Britt Vika Nilsen1 Author Orcid Image ;   Linn Marie Sorbye2, 4 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Chua J, Choolani M, Chee C, Chan Y, Lalor J, Chong Y, Shorey S. Insights of Parents and Parents‐To‐Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review. Journal of Midwifery & Women's Health 2023;68(4):480 View
  2. Montenegro J, da Costa C, Janssen L. Evaluating the use of chatbot during pregnancy: A usability study. Healthcare Analytics 2022;2:100072 View
  3. Armero W, Gray K, Fields K, Cole N, Bates D, Kovacheva V. A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care. Journal of the American Medical Informatics Association 2022;30(1):46 View
  4. Sharma S, Pajai S, Prasad R, Wanjari M, Munjewar P, Sharma R, Pathade A. A Critical Review of ChatGPT as a Potential Substitute for Diabetes Educators. Cureus 2023 View
  5. Hulman A, Dollerup O, Mortensen J, Fenech M, Norman K, Støvring H, Hansen T, Kolahi J. ChatGPT- versus human-generated answers to frequently asked questions about diabetes: A Turing test-inspired survey among employees of a Danish diabetes center. PLOS ONE 2023;18(8):e0290773 View
  6. Ollier J, Suryapalli P, Fleisch E, Wangenheim F, Mair J, Salamanca-Sanabria A, Kowatsch T. Can digital health researchers make a difference during the pandemic? Results of the single-arm, chatbot-led Elena+: Care for COVID-19 interventional study. Frontiers in Public Health 2023;11 View
  7. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  8. Kashyap N, Sebastian A, Lynch C, Jansons P, Maddison R, Dingler T, Oldenburg B. Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e52973 View
  9. Şenoymak İ, Erbatur N, Şenoymak M, Egici M. Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare. International Journal of Diabetes in Developing Countries 2024 View
  10. Uetova E, Hederman L, Ross R, O’Sullivan D. Exploring the characteristics of conversational agents in chronic disease management interventions: A scoping review. DIGITAL HEALTH 2024;10 View
  11. Su B, Jones R, Chen K, Kostenko E, Schmid M, DeMaria A, Villa A, Swarup M, Weida J, Tuuli M. Chatbot for patient education for prenatal aneuploidy testing: A multicenter randomized controlled trial. Patient Education and Counseling 2025;131:108557 View
  12. Wu Y, Zhang J, Ge P, Duan T, Zhou J, Wu Y, Zhang Y, Liu S, Liu X, Wan E, Sun X. Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e60380 View

Books/Policy Documents

  1. Følstad A, Larsen A, Bjerkreim-Hanssen N. Electronic Government. View