Feasibility and acceptability of Saheli, a WhatsApp Chatbot, on COVID-19 vaccination among pregnant and breastfeeding women in rural North India

Introduction Pregnant and breastfeeding women are priority targets for COVID-19 vaccination due to adverse maternal and fetal consequences of perinatal COVID-19 infection and the opportunity for protecting infants through maternal antibodies. Saheli (‘female friend’) is a WhatsApp-deployed chatbot providing evidence-based guidance on COVID-19 for pregnant and breastfeeding women. Objectives To understand the feasibility and acceptability of Saheli and its impact on COVID-19 vaccination. Methods We pilot-tested Saheli among pregnant and breastfeeding participants of pre-existing WhatsApp educational groups led by a community-based non-governmental organisation in Haryana, India from January to March 2022 using a pre/post design. Results 829 unique participants completed precommunity surveys or postcommunity surveys; 238 completed both. 829 individuals used Saheli, including 88% postintervention survey participants. Users reported Saheli was easy to engage with (79%), easy to understand (91%), quick (83%) and met their information needs (97%). 89% indicated it improved their COVID-19 knowledge a lot, 72% recommended it to others and 88% shared chatbot-derived information with others. Most participants received ≥1 COVID-19 vaccine (86% vs 88%, preintervention to postintervention); full vaccination was 55% and 61%, respectively. Vaccination over time increased marginally for ≥1 dose (OR 1.15, 95% CI 0.99 to 1.36) and significantly for 2 doses (OR 1.21, 95% CI 1.09 to 1.34), and increases were significant among pregnant (≥1 dose) and breastfeeding participants (2 doses). Vaccine hesitancy was low. Chatbot use was high, yet individual chatbot engagement did not alter COVID-19 vaccination. Conclusion Chatbots are a promising health education strategy due to high acceptability and deployment potential. Interpreting community chatbot impact must acknowledge the co-occurring constellation of multilevel interventions, community and pandemic factors.