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ArticleJMIR research protocols2022

Effectiveness of Artificial Intelligence-Assisted Decision-making to Improve Vulnerable Women's Participation in Cervical Cancer Screening in France: Protocol for a Cluster Randomized Controlled Trial (AppDate-You).

Farida Selmouni, Marine Guy, Richard Muwonge, Abdelhak Nassiri, Eric Lucas, Partha Basu, Catherine Sauvaget

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05286034 (Artificial Intelligence-assisted Decision-making to Improve Women's Participation to Cervical Cancer Screening in Occitanie Region-France), which is not on this 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
0.9field-weighted citation impact, top 26% of its field
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.

NCT05286034 narecruitingnot on this mapstarted 2025, after this paper: background citation

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

TypeinterventionalSponsorInternational Agency for Research on CancerRan2025 to 2026Enrolled3,000ConditionsCervical Cancer Screening, Cervical CancerArmsDecision aid tailored to women with lower educational attainment,accessible via artificial intelligence-based Chatbot platforms
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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

7 authors at 2 institutions in 1 country.

Farida SelmouniEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0002-2662-1126
Marine GuyRegional Cancer Screening Coordinating Centre of Occitanie, Carcassonne, France.ORCID https://orcid.org/0000-0001-7200-9854
Richard MuwongeEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0002-3448-0503
Abdelhak NassiriFaculty of Law, Economics, Management and Economic and Social Administration, University of Western Brittany, Brest, France.ORCID https://orcid.org/0000-0003-4672-8622
Eric LucasEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0002-1252-1925
Partha BasuEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0003-0124-4050
Catherine SauvagetEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0002-8053-4963
Centre international de recherche sur le cancer · FRUniversité de Bretagne Occidentale · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe French organized population-based cervical cancer screening (CCS) program transitioned from a cytology-based to a human papillomavirus (HPV)-based screening strategy in August 2020. HPV testing is offered every 5 years, starting at the age of 30 years. In the new program, women are invited to undergo an HPV test at a gynecologist's, primary care physician's, or midwife's office, a private clinic or health center, family planning center, or hospital. HPV self-sampling (HPVss) was also made available as an additional approach. However, French studies reported that less than 20% of noncompliant women performed vaginal self-sampling when a kit was sent to their home. Women with lower income and educational levels participate less in CCS. Lack of information about the disease and the benefits of CCS were reported as one of the major barriers among noncompliant women. This barrier could be addressed by overcoming disparities in HPV- and cervical cancer-related knowledge and perceptions about CCS.

objectiveThis study aimed to assess the effectiveness of a chatbot-based decision aid to improve women's participation in the HPVss detection-based CCS care pathway.

methodsAppDate-You is a 2-arm cluster randomized controlled trial (cRCT) nested within the French organized CCS program. Eligible women are those aged 30-65 years who have not been screened for CC for more than 4 years and live in the disadvantaged clusters in the Occitanie Region, France. In total, 32 clusters will be allocated to the intervention and control arms, 16 in each arm (approximately 4000 women). Eligible women living in randomly selected disadvantaged clusters will be identified using the Regional Cancer Screening Coordinating Centre of Occitanie (CRCDC-OC) database. Women in the experimental group will receive screening reminder letters and HPVss kits, combined with access to a chatbot-based decision aid tailored to women with lower education attainment. Women in the control group will receive the reminder letters and HPVss kits (standard of care). The CRCDC-OC database will be used to check trial progress and assess the intervention's impact. The trial has 2 primary outcomes: (1) the proportion of screening participation within 12 months among women recalled for CCS and (2) the proportion of HPVss-positive women who are "well-managed" as stipulated in the French guidelines.

resultsTo date, the AppDate-You study group is preparing and developing the chatbot-based decision aid (intervention). The cRCT will be conducted once the decision aid has been completed and validated. Recruitment of women is expected to begin in January 2023.

conclusionsThis study is the first to evaluate the impact of a chatbot-based decision aid to promote the CCS program and increase its performance. The study results will inform policy makers and health professionals as well as the research community.

trial registrationClinicalTrials.gov NCT05286034; https://clinicaltrials.gov/ct2/show/NCT05286034. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39288.

Indexed as

artificial intelligencecervical cancerchatbotcluster randomized controlled trialdecision aidscreening

Identifiers

PMID35771872
PMCPMC9382552
OpenAlexW4283714753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.