Evidence map›Paper›PMID 41980243›Full record

ArticleInvestigacion y educacion en enfermeria2026

Usability of the "Be Yourself" IA-powered, chatbot-based website for the prevention of adolescent pregnancy.

Natanael Librado González, Dora Julia Onofre Rodríguez, Romeo Sánchez Nigenda, Dayanna Neitakrith Pérez Cavazos, Carlos Alberto Catalán Gómez, Raquel Alicia Benavides-Torres

Abstract read
In one paragraph

Article in Investigacion y educacion en enfermeria, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Natanael Librado GonzálezPh.D., Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico, nlibrado3@gmail.com.
Dora Julia Onofre RodríguezPh.D., Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico, donofre64@yahoo.com.mx.
Romeo Sánchez NigendaPh.D., Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico, romeo.sanchezng@uanl.edu.mx.
Dayanna Neitakrith Pérez CavazosPh.D., Universidad de Monterrey, México, Monterrey, Nuevo León, Mexico, daaygrey@gmail.com.
Carlos Alberto Catalán GómezPh.D., Universidad Autónoma del Estado de Quintana Roo, Mexico, carloscg8@outlook.es.
Raquel Alicia Benavides-TorresPh.D., Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico, rabenavi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Objective. Analyze the usability, interaction patterns, and quality of conversational interaction of the AI-powered "Be Yourself" chatbot to foster self-determined motivation and prevent adolescent pregnancy. Methods: Post-intervention usability pilot study conducted with 74 Mexican school-going adolescents (aged 11-15), using the System Usability Scale (SUS) at two time points: immediately after the intervention and at two-month follow-up. Interaction metrics (number of messages) and confidence coefficients were analyzed within content related to self-determined motivation, pregnancy prevention, and sexual communication. Results: Participants were 49.6% male and 50.4% female, with a mean age of 12.7 (SD=0.98). The chatbot recorded 74 chats and 1,236 messages. The SUS was assessed post-intervention (n=74) and at the two-month follow-up (n=70). Initially, usability was rated as 18.9% "Good" and 81.1% "Acceptable." At follow-up, the proportions across categories changed to 5.7% "Good," 92.9% "Acceptable," and 1.4% "Poor." The Wilcoxon signed-rank test showed a significant decrease in perceived usability (p<0.001; r=-0.56) between the two assessment points. The highest confidence coefficients were observed for communication with parents (93.2%) and pregnancy prevention (89.1%), whereas self-determined motivation was lower (79.1%). Conclusion: The chatbot demonstrated acceptable usability and high short-term acceptance as an informational tool for preventing adolescent pregnancy. However, the decrease in usability scores at the two-month follow-up indicates the need for improvements to foster sustained engagement and address behavioral aspects.

Indexed as

InternetPregnancy in AdolescenceAdolescentChildCommunicationFemaleFollow-Up StudiesHumansMexicoMotivationPilot ProjectsPregnancySexual Behaviorartificial intelligencegenerative artificial intelligencepregnancy in adolescencesexual healthuser-centered design

Identifiers

PMID41980243
PMCPMC13078846

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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.