RESUMO
BACKGROUND: The 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. OBJECTIVE: This 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. METHODS: AppDate-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. RESULTS: To 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. CONCLUSIONS: This 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 REGISTRATION: ClinicalTrials.gov NCT05286034; https://clinicaltrials.gov/ct2/show/NCT05286034. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39288.
RESUMO
Do Primary Care Physicians (PCPs) react strategically to financial incentives and if so how? To address this question, we follow a quasi-natural experiment in Quebec, using a panel system technique. In so doing, we both correct for underestimation biases in earlier time series findings and generate new results on the issue of complementarity/substitution between consultations with varying levels of technicality. Under both techniques, we show that PCPs are sensitive to the enforcement and subsequent temporary removals of expenditure caps and more generally, to changes in consultations' relative prices over time. These results support the existence of a discretionary power over the choice of consultation, PCPs increasing strategically the number of the more technical (and therefore more lucrative) consultations when pressed to defend their income. This finding for primary care parallels the now well-established DRG creep in hospitals. The panel system approach offers a better account of the complexity surrounding PCPs' decision-making process. In particular, it successfully addresses issues of physician heterogeneity, jointness between consultations and temporal breaks and generates robust estimates of PCPs volume and quality reactions to regulatory changes.