| Autor: |
Rieky Dikmans, Lauriane Bassoleil, Guillemette Jacob, Laura Sablone, Marie Préau, Fabien Reyal |
| Rok vydání: |
2018 |
| DOI: |
10.2196/preprints.9841 |
| Popis: |
BACKGROUND Cancer research participation today is unfortunately not optimally effective. Only a few citizens of the population in France are involved in clinical trials. The participation of a wide number of people in cancer research is crucial to increase speed and optimize quality in cancer research. OBJECTIVE In order to remove this barrier and connect the public with researchers a national online platform called Seintinelles has been created in 2014. METHODS Participants subscribed voluntarily to a website and were afterwards recruited by email for studies suitable to their baseline profile. Participants were given the possibility to register for the newsletter or to participate in social events. Once a researcher needed volunteers the participants in the database received an email with the terms and criteria of the study and interested participants could give their permission to be included. RESULTS Currently more than 20.504 participants, healthy people and people with a specific cancer type, with a mean age of 46 years old and spread out all over France, have subscribed to the website Seintinelles. The main cancer type that is represented is breast cancer (5962 participants), followed by colorectal cancer (136 participants) and lung cancer (78 participants). A group of researchers (n: 277) contributed to successfully match patients with the appropriate studies 10 studies have been successfully conducted and 7 are currently ongoing. CONCLUSIONS Seintinelles successfully started a national online platform in 2014 that connects researchers and citizens of France in order to improve the efficacy of cancer research. Within 2 years time the website has been able to recruit 20.504 citizens eligible to participate in important nation-wide cancer studies. Seinitelles has shown to be an effective way to speed up cancer research. The future goal is to expand the platform and involve up to 50.000 patients and 10 yearly studies by 2018. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
