RESUMO
BACKGROUND: Interactive conversational agents, also known as "chatbots," are computer programs that use natural language processing to engage in conversations with humans to provide or collect information. Although the literature on the development and use of chatbots for health interventions is growing, important knowledge gaps remain, such as identifying design aspects relevant to health care and functions to offer transparency in decision-making automation. OBJECTIVE: This paper presents the protocol for a scoping review that aims to identify and categorize the interactive conversational agents currently used in health care. METHODS: A mixed methods systematic scoping review will be conducted according to the Arksey and O'Malley framework and the guidance of Peters et al for systematic scoping reviews. A specific search strategy will be formulated for 5 of the most relevant databases to identify studies published in the last 20 years. Two reviewers will independently apply the inclusion criteria using the full texts and extract data. We will use structured narrative summaries of main themes to present a portrait of the current scope of available interactive conversational agents targeting health promotion, prevention, and care. We will also summarize the differences and similarities between these conversational agents. RESULTS: The search strategy and screening steps were completed in March 2022. Data extraction and analysis started in May 2022, and the results are expected to be published in October 2022. CONCLUSIONS: This fundamental knowledge will be useful for the development of interactive conversational agents adapted to specific groups in vulnerable situations in health care and community settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40265.
RESUMO
INTRODUCTION: In Burkina Faso, despite actions to improve women’s health, the percentage of those with unmet needs in terms of family planning remains high (35.6% in 2015 to 20.2% in 2018 according to projections from the Performance Monitoring and Accountability project [PMA2014-15/Burkina]). METHODS: The study used data from demographic and public health investigations as well as multiple indicator cluster surveys for Burkina Faso in 2010. Two analysis techniques were used: a Multiple Correspondence Analysis, then an Ascending Hierarchical Classification (AHC). A multi-level logistic regression model was used to estimate the net effects of individual and environmental factors associated with these unmet needs. RESULTS: The analysis of the random effects shows that the propensity of having unmet needs in terms of family planning varies considerable from one household to another and from one enumeration zone to another. The net effects also show that women between the ages of 35 and 49 are 6.94 times at risk of having unmet needs in terms of limiting births than for those aged 20 to 34. For the unmet need of spacing births, this risk is estimated at 69% less high for women between 35 to 49 years of age than for those aged 15 to 19. CONCLUSION: It is necessary to strengthen local awareness programs geared towards women and their spouses about the benefits and the importance of family planning, while taking into account their sociodemographic characteristics (age, parity, ethnic background, living environment).
