Evidence map›Paper›PMID 40705442›Full record

ArticleJMIR cancer2025

Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study.

Alice Le Bonniec, Catherine Sauvaget, Eric Lucas, Abdelhak Nassiri, Farida Selmouni

Abstract readValidation Study
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alice Le BonniecNational Screening Service, Dublin, Ireland.ORCID 0000-0001-9916-8038
Catherine SauvagetInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0002-8053-4963
Eric LucasInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0002-1252-1925
Abdelhak NassiriUniversity of Western Brittany, Brest, France.ORCID 0000-0003-4672-8622
Farida SelmouniInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0002-2662-1126

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundCervical cancer (CC) screening participation remains suboptimal among vulnerable populations in France. This study aimed to develop and evaluate AppDate-You, a chatbot-based decision aid, to support women from socioeconomically disadvantaged areas in the French Occitanie region to make informed decisions about CC screening, particularly human papillomavirus self-sampling (HPVss).

objectiveThis study aimed to explore the needs, preferences, and barriers related to CC screening and to design and validate a user-centered, empathetic, and effective chatbot-based decision aid to empower women experiencing socioeconomic challenges in France to make informed choices about HPVss.

methodsThe chatbot was developed following a validated framework for developing decision aids. The process included qualitative research involving online and in-person interviews and focus groups with women and health care professionals, followed by alpha testing with both groups and beta testing with women only. Participants included women (both French and non-French speaking) aged between 30 and 65 years from socioeconomically disadvantaged areas of the Occitanie region and health care professionals (general practitioners, gynecologists, and midwives) working with these populations. AppDate-You was made accessible through WhatsApp and Facebook Messenger, offering text-based and voice-based interactions and multimedia content.

resultsThe exploratory phase identified key barriers to screening and digital tool preferences. Prototype testing revealed great satisfaction with the chatbot's performance, educational value, and content quality. Contrary to the expectations of health care professionals, women from diverse backgrounds, including women who were older and socioeconomically disadvantaged, were willing and able to use the tool. Users-even those with limited digital literacy-found AppDate-You innovative, user-friendly, and informative. In the beta testing phase, 80% (12/15) of the participants expressed interest in HPVss. Some limitations were identified, such as the chatbot's occasional repetitive responses and the need for clearer medical terminology.

conclusionsThis study demonstrates the potential for artificial intelligence chatbots to improve access to health education and increase cervical screening intention among underserved populations. The user-centered approach resulted in a tool that effectively meets the needs of the target population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/39288.

Indexed as

Decision Support TechniquesEarly Detection of CancerPapillomavirus InfectionsUterine Cervical NeoplasmsAdultAgedFemaleFocus GroupsFranceGenerative Artificial IntelligenceHumansMiddle AgedMobile ApplicationsQualitative ResearchSocioeconomic Disparities in HealthSocioeconomic FactorsAIartificial intelligencecervical cancer screeningchatbotdecision aidhealth educationhuman papillomavirus self-samplingunderserved populationsuser-centered design

Identifiers

PMID40705442
PMCPMC12332448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.