%0期刊文章%@ 2371-4379 %I JMIR Publicat卡塔尔世界杯8强波胆分析ions %V 7% N 2% P e37882 %T评估在COVID-19大流行期间对2型糖尿病患者进行教育的GREAT4Diabetes WhatsApp聊天机器人的实施情况:融合混合方法研究%A Mash,Robert %A Schouw,Darcelle %A Fischer,Alex Emilio %+ Stellenbosch大学医学和健康科学学院，Francie van Zijl Rd, Tygerberg, Cape Town, 7505, South Africa, 27 219389170, rm@sun.ac.za %K COVID-19 %K糖尿病%K初级保健%K患者教育和咨询%K移动健康%K mHealth %K eHealth %K远程医疗%K南非%K手机%D 2022 %7 24.6.2022 %9原始论文%J JMIR糖尿病%G英语%X背景:在南非，糖尿病是发病率和死亡率的主要原因，在2019冠状病毒病大流行期间，这一情况有所加剧。封锁期间，大多数教育和咨询活动都停止了，GREAT4Diabetes WhatsApp聊天机器人被创新来填补这一空白。目的:本研究旨在评估2021年5月至10月期间聊天机器人在南非开普敦的实施情况。方法:采用融合混合方法评估实施结果:可接受性、采用性、适当性、可行性、保真度、成本、覆盖范围、效果和可持续性。从聊天机器人中获得定量数据，并使用SPSS进行分析。采用Atlas-ti辅助框架方法，从关键信息源收集定性数据并进行分析。该聊天机器人用英语、南非荷兰语或科萨语为用户提供了16条语音信息和图形。信息的重点是COVID-19感染和2型糖尿病的自我管理。 Results: The 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. Conclusions: The 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. %M 35537057 %R 10.2196/37882 %U https://diabetes.www.mybigtv.com/2022/2/e37882 %U https://doi.org/10.2196/37882 %U http://www.ncbi.nlm.nih.gov/pubmed/35537057