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Updated: May 13, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
[Systematic review of teen pregnancy prevention programs using websites and chatbotsProgramas de prevenção de
Natanael Librado González1, Dora Julia Onofre Rodríguez1, Romeo Sánchez Nigenda2
1Facultad de Enfermería Universidad Autónoma de Nuevo León MonterreyNuevo León México Facultad de Enfermería, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
Objective:
To evaluate the effectiveness of artificial intelligence (AI)-based chatbots in preventing teenage pregnancy compared with traditional methods of sex education or no intervention.
Materials And Methods:
A systematic review of original studies published between January 2010 and December 2024 was conducted based on the PRISMA guidelines and the population, intervention, comparator, outcome, time, and data (PICOT-D) question formulation strategy. Databases such as PubMed, the Cochrane Library, Embase, and Scopus were searched; DeCS and MeSH descriptors were used. Data were managed in Rayyan® and in an Excel® spreadsheet. The protocol was registered in PROSPERO (CRD42024580136).
Results:
We analyzed 14 studies involving 10,018 participants (71.1% were women). Chatbots demonstrated high usability (SUS score of 77.7, 82nd percentile). Of the total users, 83% interacted with the chatbot, 46% initiated hormonal contraceptives, and 56.8% rated the chatbot as easy to understand. A significant increase was seen in the use of contraceptives (adjusted odds ratio [aOR] = 1.60); p = 0.02) and condoms (aOR = 1.48; p <0.001). There were also improvements in knowledge of emergency contraception (57.3% vs. 47.5%; p <0.01) and access to contraceptive services (95.6% versus 91.8%; p = 0.01).
Conclusion:
AI-based chatbots are effective in preventing teenage pregnancy and can be a key complement to traditional sex education methods.
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