Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Feasibility of Systematic Domestic Violence Screening Using WAST in the Villefranche/Saône Emergency Department.

L'hôpital Nord-Ouest - Villefranche Villefranche sur Saône · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
This single-center observational study aims to assess the feasibility of systematically screening for intimate partner violence (IPV) against women in the emergency department of Hôpital Nord-Ouest de Villefranche-sur-Saône. The study utilizes the Woman Abuse Screening Tool (WAST), a self-administered questionnaire, to identify cases of IPV. The primary objective is to evaluate the feasibility and acceptability of implementing this systematic screening within an emergency setting. The study will measure feasibility through factors such as the implementation rate and adherence by healthcare staff, while acceptability will be assessed based on patient participation and response rates. By analyzing these criteria, the study seeks to determine whether IPV screening can be effectively integrated into routine emergency care. The findings are expected to provide insights into potential barriers and facilitators for screening implementation, contributing to improved detection and support strategies for women experiencing domestic violence.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1451992
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive