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| ID | Type | Description | Link |
|---|---|---|---|
| 2021-A02665-36 | Other Identifier | ANSM |
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The AdDePi-KS project aims to contribute to the renovation of the breast cancer screening program. In order to improve information to women on breast cancer risk factors and their participation in organized screening, but also to reduce the incidence of the disease, the prevention policy currently in place could be adapted and optimized based on the assessment of women's individual risk factors.
The current principle of the platform is to offer women a breast cancer risk assessment and prevention consultation with a clinical examination and the use of three breast cancer risk calculation models: Tyrer Cuzick (TC) Mammorisk© (MMR) and CANRISK. In parallel to the use of these three softwares, the Eisinger and Manchester scores are also calculated to evaluate the indication of an oncogenetic consultation. At the end of this analysis, a personalized prevention plan (PPP) proposal, adaptable by the practitioner by shared decision with the consultant, is generated and proposed. The risk assessment and the monitoring strategy are explained to the consultant and when "actionable" risk factors are identified, personalized assistance is proposed (dietary consultation, smoking consultation, distribution of information documents, particularly on physical activity).
The objective of this study is to evaluate the impact of the consultation in the long term, in particular on compliance with the recommended monitoring methods and on the "actionable" personal risk factors. For this purpose, investigators propose to set up follow-up questionnaires at 2, 3 and 5 years. These questionnaires will also make it possible to monitor over time how the notion of risk is perceived and how this could influence primary (action on risk factors) and secondary (screening) prevention behaviors. Thus, by accompanying the objectives and methods of prevention in a genuine health democracy process, investigators will be able to identify certain obstacles and levers linked to the implementation of these actions.
The AdDePi-KS project aims to contribute to the renovation of the breast cancer screening program. In order to improve information to women on breast cancer risk factors and their participation in organized screening, but also to reduce the incidence of the disease, the prevention policy currently in place could be adapted and optimized based on the assessment of women's individual risk factors. This approach would promote the implementation of measures that allow women to take a more active part in the decision-making process.
The current principle of the Cancer Risk Management Platform (CRMP) is to offer women a breast cancer risk assessment and prevention consultation with a clinical examination and the use of three breast cancer risk calculation models: Tyrer Cuzick (TC), Mammorisk© (MMR) and CANRISK. In parallel to the use of these three softwares, the Eisinger and Manchester scores are also calculated to evaluate the indication of an oncogenetic consultation. At the end of this analysis, a personalized prevention plan (PPP) proposal, adaptable by the practitioner by shared decision with the consultant, is generated and proposed. The risk assessment and the monitoring strategy are explained to the consultant and when "actionable" risk factors are identified, personalized assistance is proposed (dietary consultation, smoking consultation, distribution of information documents, particularly on physical activity).
The objective of this study is to evaluate the impact of the consultation in the long term, in particular on compliance with the recommended monitoring methods and on the "actionable" personal risk factors. For this purpose, investigators propose to set up follow-up questionnaires at 2, 3 and 5 years. These questionnaires will also make it possible to monitor over time how the notion of risk is perceived and how this could influence primary (action on risk factors) and secondary (screening) prevention behaviors. Thus, by accompanying the objectives and methods of prevention in a genuine health democracy process, investigators will be able to identify certain obstacles and levers linked to the implementation of these actions. Investigators believe that this approach will improve their understanding of the appropriation and dissemination of prevention practices for a better approach.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Women aged 18 to 85 years who come to the CRMP for a breast cancer risk assessment. | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Questionnaire | Other | Telephone calls at 2, 3 and 5 years with :
|
|
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patient with a compliance to the Personalized Prevention Plan established during the initial risk assessment consultation. | Modification of at least one behavior of the women with respect to certain actionable risk factors: alcohol consumption, overweight, sedentary lifestyle, smoking, fiber consumption. | Compliance will be measured at 2, 3 and 5 years from the initial risk assessment consultation |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of participants with weight loss when overweight was identified at the initial risk assessment visit | 2, 3 and 5 years from the initial risk assessment consultation | |
| Proportion of participants who were active in sports when no sports were identified at the initial risk assessment visit |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Catherine UZAN, Pr | Hôpital Pitié Salpêtrière - Assistance Publique Hôpitaux de Paris | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hôpital Pitié Salpêtrière | Paris | 75013 | France |
The procedures carried out with the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not provide for the transmission of the database, nor do the information and consent documents signed by the patients. Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.
Beginning 3 months and ending 3 years following article publication. Requests out of these time frame can also be submitted to the sponsor
Researchers who provide a methodologically sound proposal.
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| D010349 | Patient Compliance |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D011795 | Surveys and Questionnaires |
| ID | Term |
|---|---|
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D017531 | Health Care Evaluation Mechanisms |
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| at 2, 3 and 5 years |
| Proportion of participants who quit smoking | at 2, 3 and 5 years |
| Proportion of participants who changed their alcohol consumption when it was excessive at the initial risk assessment visit | at 2, 3 and 5 years |
| Proportion of participants who changed their diets when an imbalance in diet was noted at the initial risk assessment visit | at 2, 3, and 5 years |
| Proportion of women who completed their screening as recommended following the CRMP consultation | at 2, 3 and 5 years |
| Proportion of women's satisfaction with the initial consultation | at 2, 3 and 5 years |
| D017437 |
| Skin and Connective Tissue Diseases |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |