ArticleRevista panamericana de salud publica = Pan American journal of public health2025
[Systematic review of teen pregnancy prevention programs using websites and chatbotsProgramas de prevenção de gravidez na adolescência com base em sites e chatbots: revisão sistemática].
Article in Revista panamericana de salud publica = Pan American journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Usability of the "Be Yourself" IA-powered, chatbot-based website for the prevention of adolescent pregnancy.Investigacion y educacion en enfermeria · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 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); 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.