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

Apps, Mobile, Wearables for Diabetes (306) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) JMIR Theme Issue: COVID-19 Special Issue (2461) Diabetes Education and Elearning for Patients (117) Diabetes Technology Around the World (22)

Published on in Vol 7, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37882, first published .
Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study

Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study

Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study

Authors of this article:

Robert Mash1 Author Orcid Image ;   Darcelle Schouw1 Author Orcid Image ;   Alex Emilio Fischer2 Author Orcid Image
Article Authors Cited by (22) Tweetations (3) Metrics

Journals

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  2. Mathose T, Mash R. Factors influencing insulin initiation in primary care facilities in Cape Town, South Africa. South African Family Practice 2023;65(1) View
  3. Mash R, Cairncross J. Comprehensive patient education and counselling for non-communicable diseases in primary care, Western Cape. South African Family Practice 2023;65(1) View
  4. Mash R, Cairncross J. Piloting of virtual group education for diabetes in Cape Town: An exploratory qualitative study. South African Family Practice 2023;65(1) View
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  6. Ramadhani C. Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?. Sciences of Pharmacy 2023;2(3):1 View
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  12. Khuzaiyah S, Adnani Q, Muthoharoh A, Chabibah N, Widyastuti W, Susiatmi S, Zuhana N, Ersila W, Barach P, Lee K. Indonesian COVID‐19 lesson: A mixed‐methods study on adolescent health status and health services during pandemic. Journal of Child and Adolescent Psychiatric Nursing 2024;37(2) View
  13. Krüger L, Krotsetis S, Nydahl P. Reflexion und Prüfung der Evidenz sind essenziell. ProCare 2024;29(1-2):18 View
  14. Maaß L, Angoumis K, Freye M, Pan C. Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review. Journal of Medical Internet Research 2024;26:e53927 View
  15. Mash R, Schouw D. Evaluating the implementation of group empowerment and training (GREAT) for diabetes in South Africa: convergent mixed methods. BMJ Open 2024;14(5):e085171 View
  16. Johnston L, Piotie P, Maposa I, Singh S, Kuonza L, De Voux A. Determinants of sub-optimal glycemic control among patients enrolled in a medicine dispensing programme in KwaZulu-Natal: A cohort study, 2018–2021. African Journal of Primary Health Care & Family Medicine 2024;16(1) View
  17. Ma Y, Achiche S, Tu G, Vicente S, Lessard D, Engler K, Lemire B, Laymouna M, de Pokomandy A, Cox J, Lebouché B. The first AI‐based Chatbot to promote HIV self‐management: A mixed methods usability study. HIV Medicine 2024 View
  18. 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
  19. Swoboda C, Stamos A, Fareed N. Traditional and Online Health Information Seeking Among Individuals With Limited English Proficiency in the United States: Cross-Sectional Study. American Journal of Health Promotion 2024 View
  20. 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