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Using Artificial Intelligence-based ChatBot to Improve Women's Participation to Cervical Cancer Screening Programme

Artificial Intelligence-assisted Decision-making to Improve Women's Participation to Cervical Cancer Screening in Occitanie Region-France

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05286034
Acronym
AppDate-You
Enrollment
3000
Registered
2022-03-18
Start date
2025-11-03
Completion date
2026-08-18
Last updated
2026-03-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervical Cancer, Cervical Cancer Screening

Keywords

cervical neoplasia, cervical cancer screening, chatbot, artificial intelligence, cluster randomized controlled trial, HPV vaginal self-sampling

Brief summary

This project looks to improve the return rate of HPV self-sampling (HPVss) as well as the management of women HPVss positive.

Detailed description

France has already implemented a cervical screening programme based on HPV test for the whole female population aged 30-65 years. Non-participant women can perform HPV test at their home. However, less than 20% of French women performed vaginal self-sampling when a kit was sent to their home. Women with lower income and educational levels participate less to cervical screening. A variety of personal, practitioner, test-related and logistical barriers negatively impact the screening participation of French women. Key barriers to participation could be addressed by overcoming disparities in HPV-related knowledge and perceptions about cervical cancer screening. This study aims to evaluate the impact of sending HPV self-sampling kit at women's home, associated with providing, through multiple mobile channels, a multi-language decision aid designed for women with lower education accessible via artificial intelligence-based ChatBot. This decision aid will help women review high quality evidence on cervical cancer disease and screening modalities.

Interventions

BEHAVIORALDecision aid tailored to women with lower educational attainment,accessible via artificial intelligence-based Chatbot platforms

Non-compliant women those that have not been screened for more than 4 years and living in the disadvantaged areas will be sent screening reminder letters to perform HPV self-sampling (HPVss) test, with access to decision aid tailored to women with lower education attainment and available via Chatbot platforms. ChatBot will deliver information in a responsive, conversational way via text and spoken language in multiple languages through multiple mobile channels.

Sponsors

International Agency for Research on Cancer
Lead SponsorOTHER
Centre Régional de Coordination des Dépistages des Cancers, centre-Carcassonne
CollaboratorUNKNOWN
Université de Bretagne Occidentale, Brest-France
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Intervention model description

A cluster randomized controlled trial with two arms (one experimental arm and one active control arm) will be conducted in the Occitanie region, France to assess the effectiveness of a decision aid accessible via artificial intelligence-based Chatbot platforms to improve the "return" rate of HPV self-samples and the proportion of invited women "well managed" among disadvantaged women. A cluster is defined by aggregated units for statistical information (Ilots Regroupés pour l'Information Statistique, IRIS) and it refers to a target size of 2000 inhabitants per unit. Only IRIS classified as 4 and 5 according to the French version of the European Deprivation Index (EDI) will be included. The study will be conducted as a two-armed nested into the French cervical cancer screening programme in the Occitanie Region. Clusters will be randomly assigned by a computer-generated randomized schedule following simple randomization procedures in a 1:1 ratio.

Eligibility

Sex/Gender
FEMALE
Age
30 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

eligible women will be: * aged 30-65 * did not perform a pap smear in the last 4 years * are living in deprived clusters in the Occitanie region. * did not answer to a first "invitation" letter to perform a clinician-collected HPV testing

Exclusion criteria

ineligible women will be those: * outside the target age group * had a Pap smear in the past 3 years * had hysterectomy including cervix * are pregnant * already scheduled a screening appointment or had just attended a HPV screening * had a cervical abnormality that was under exploration and/or treatment. * participated to the study pilot

Design outcomes

Primary

MeasureTime frameDescription
HPV self-sampling "return" rate1 year after postal mailPercent of women recalled who "return" HPVss over 12 months "Return" means: 1) the receipt of the vaginal self-sample at the laboratory; 2) the performance of clinician-collected HPV testing for those who prefer to be screened by a health professional; and 3) Information about a recent screening or a cervical screening exclusion reason.
Proportion of HPVss-positive women "well managed"1 year after postal mailPercent of recruited women well managed (Percent of women screened and completing full pathway of HPV screening and treatment over 12 months). "Well managed" is defined as: completed a valid screening test (sample processed successfully to positive or negative result, including recollection of invalid samples) AND * for HPV negative women, woman advised of negative result * for HPV positive women, completed assessment.
Cost and cost-efficacyMonth 36 - Month 48Costs will be estimated using an ingredients approach whereby resources used for the respective interventions are identified and valued. The incremental cost-effectiveness ratios (ICERs) will be calculated as the mean difference in total costs between the intervention groups with the mean difference in effects, and expressed as both euros and US dollars per percentage change in screening participation.

Countries

France

Contacts

CONTACTFarida Selmouni, Dr
selmounif@iarc.who.int+ 33 4 72 73 84 99

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 28, 2026