Panyawut Sri-Iesaranusorn, Ryoichi Sadahiro, Syo Murakami, Saho Wada, Ken Shimizu, Teruhiko Yoshida, Kazunori Aoki, Yasuhito Uezono, Hiromichi Matsuoka, Kazushi Ikeda, Junichiro Yoshimoto
Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning
Frontiers in psychiatry
given high infection rate sexually transmitted infections sti among migrant women sex workers wsws necessary understand improve prevention information care vulnerable population community health workers chws linking community health services positioned improve health outcomes migrant communities article aims describe pilot innovative intervention performed chws improve sexual health migrant wsws oneyear intervention study used respondentdriven sampling rds recruit representative cohort migrant wsws marseille france four chws recruited different communities participated stages research performed individual group interventions prevention support care empowerment data participant characteristics type intervention adherence intervention reported via questionnaires given participants simultaneously semistructured interviews informal interviews migrant wsw chws care providers carried total 132 migrant wsws included cohort knew prep 12 already used hiv postexposure treatment 9 migrant wsws often victims rape racism 15 21 respectively twothirds cases level health literacy low participants suffered combination vulnerability factors difficulties access social rights food housing 13 reported benefited medical followup assistance ngo 3 months prior program 3 months one third participants tested hiv 35 63 knew prep total retention rate 70 reported cohort 6 months chws enabled improve care access migrant wsws improving collaboration care social actors local level bringbackto interventions hardtoreach population chws enabled optimization care pathway results also highlight importance populationbased approach individual group support empowerment interventions order strengthen capacity action