Background: Optimal maternal care requires timely access to accurate information. Recent technological advancements have led to the development of chatbots that provide essential information to women, empowering informed decision-making and enhancing healthcare experiences. These tools can significantly improve maternal health outcomes and support child well-being. However, research in this area is limited, highlighting the need for further exploration. This systematic review analyzes the existing literature on using chatbots in maternal care.
Methods: This systematic review followed the PRISMA-ScR guidelines to identify studies focused on using chatbots in maternal care. We searched PubMed, Web of Science, Scopus, and Google Scholar without limitations on time or geography to locate relevant studies. Data were collected using a standardized extraction form, and the results are presented in tables.
Results: This study reviewed 10 articles out of 245 retrieved. Most of the research was conducted in Brazil and Singapore in 2024, utilizing a mixed-methods approach. Most of them designed the chatbot as a mobile application. The average age of the participants was 32.56 years, and the total follow-up period across the studies was 33 months. The primary objective was to enhance the mental health of pregnant women both during pregnancy and after childbirth. The chatbots provided timely health information on prenatal and postnatal care, dietary guidelines, and mental health support. Further research is needed to validate these findings and to advance the development of chatbot technology within the healthcare.
Conclusion: This systematic review suggests that chatbots can positively impact maternal health by providing essential support to pregnant women and new mothers. However, more studies are needed to confirm these benefits and to find the best ways to use this technology in healthcare.