ArticleJMIR diabetes2022
Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study.
Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- User experiences and perceptions on the use of digital health technologies in the management of type 2 diabetes: an integrative systematic review.Frontiers in clinical diabetes and healthcare · 2026Pooled it
- User and Provider Experiences With Health Education Chatbots: Qualitative Systematic Review.JMIR human factors · 2025Pooled it
- Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.JCO clinical cancer informatics · 2023Pooled it
- The Effect of a WhatsApp Chatbot-Based Training Program on Infection Control Knowledge and Practices Among Hemodialysis Nurses: A Cluster-Randomized Controlled Trial.Journal of nursing management · 2026Trial
- Review
- Feasibility and Preliminary Impacts of a Diabetes Education Chatbot Simulation on Glycemic Targets, Loneliness, and Health Beliefs in Indonesia: An Explanatory Mixed-methods Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- Hybrid expert system for lifestyle recommendations in hypertensive patients.Frontiers in artificial intelligence · 2026Article
- Evaluating the implementation of group empowerment for people with type 2 diabetes at Grassy Park Community Day Centre, Cape Town: A convergent mixed-methods study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025Article
- Telemedicine Adoption and Prospects in Sub-Sahara Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria.Healthcare (Basel, Switzerland) · 2025Review
- The first AI-based Chatbot to promote HIV self-management: A mixed methods usability study.HIV medicine · 2025Article
- 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 · 2024Article
- 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 · 2024Article
- Evaluating the implementation of group empowerment and training (GREAT) for diabetes in South Africa: convergent mixed methods.BMJ open · 2024Article
- Social Media-Delivered Lifestyle Interventions Among Individuals Living with Diabetes and Prediabetes: A Scoping Review.Current nutrition reports · 2023Article
- [ChatGPT: curse or blessing in nursing care?]Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023Review
- Health Chatbots in Africa: Scoping Review.Journal of medical Internet research · 2023Article
- Factors influencing insulin initiation in primary care facilities in Cape Town, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023Article
- Comprehensive patient education and counselling for non-communicable diseases in primary care, Western Cape.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023Article
- Piloting of virtual group education for diabetes in Cape Town: An exploratory qualitative study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundIn South Africa, diabetes is a leading cause of morbidity and mortality, which was exacerbated during the COVID-19 pandemic. Most education and counseling activities were stopped during the lockdown, and the GREAT4Diabetes WhatsApp Chatbot was innovated to fill this gap.
objectiveThis study aimed to evaluate the implementation of the chatbot in Cape Town, South Africa, between May and October 2021.
methodsConvergent mixed methods were used to evaluate the implementation outcomes: acceptability, adoption, appropriateness, feasibility, fidelity, cost, coverage, effects, and sustainability. Quantitative data were derived from the chatbot and analyzed using the SPSS. Qualitative data were collected from key informants and analyzed using the framework method assisted by Atlas-ti. The chatbot provided users with 16 voice messages and graphics in English, Afrikaans, or Xhosa. Messages focused on COVID-19 infection and self-management of type 2 diabetes.
resultsThe chatbot was adopted by the Metro Health Services to assist people with diabetes who had restricted health care during the lockdown and were at a higher risk of hospitalization and death from COVID-19 infection. The chatbot was disseminated via health care workers in primary care facilities and local nonprofit organizations and via local media and television. Two technical glitches interrupted the dissemination but did not substantially affect user behavior. Minor changes were made to the chatbot to improve its utility. Many patients had access to smartphones and were able to use the chatbot via WhatsApp. Overall, 8158 people connected with the chatbot and 4577 (56.1%) proceeded to listen to the messages, with 12.56% (575/4577) of them listening to all 16 messages, mostly within 32 days. The incremental setup costs were ZAR 255,000 (US $16,876) and operational costs over 6 months were ZAR 462,473 (US $30,607). More than 90% of the users who listened to each message found them useful. Of the 533 who completed the whole program, 351 (71.1%) said they changed their self-management a lot and 87.6% (369/421) were more confident. Most users changed their lifestyles in terms of diet (315/414, 76.1%) and physical activity (222/414, 53.6%). Health care workers also saw benefits to patients and recommended that the service continues. Sustainability of the chatbot will depend on the future policy of the provincial Department of Health toward mobile health and the willingness to contract with Aviro Health. There is the potential to go to scale and include other languages and chronic conditions.
conclusionsThe chatbot shows great potential to complement traditional health care approaches for people with diabetes and assist with more comprehensive patient education. Further research is needed to fully explore the patient's experience of the chatbot and evaluate its effectiveness in our context.
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