Barriers in accessing intimate partner violence services: Intersecting views of immigrant and minority ethnic survivors and community organization workers
Notice bibliographique
Résumé
BACKGROUND: Intimate partner violence (IPV) can have serious physical and mental health consequences for women. Women from immigrant and/or ethnic minority backgrounds may face additional barriers in accessing support. This research was based in a multicultural and marginalized neighborhood in Montreal (Canada) with a high incidence of IPV. OBJECTIVES: (1) To better understand the needs and challenges of women survivors of IPV who come from immigrant and/or ethnic minority backgrounds, and the barriers they face in seeking help; (2) to understand the perspectives of community organization workers on immigrant and ethnic minority survivors' needs and barriers in accessing services, as well as their knowledge about how to best support survivors. DESIGN: We employed a mixed-methods design using a community-based participatory approach. Bronfenbrenner's socioecological model was used as a theoretical framework to analyze the findings. METHODS: We conducted in-depth individual interviews with 7 female survivors of IPV from immigrant and/or ethnic minority backgrounds and conducted surveys with 23 community organization workers. RESULTS: The study shows a dissonance in views between survivors and workers. The survivors identified barriers to accessing support at each level of Bronfenbrenner's ecosystem, reflecting the complexity of their situations. For example, (1) macro-system: inadequacy of the legal system, racism; (2) exo-system: accessibility of services, poor quality of services, distrust of institutions; (3) micro-system: social and family pressure, poor social integration; (4) onto-system: language barriers, lack of knowledge of resources, feelings of fear and shame. The workers mainly noted barriers at the onto-level, which was primarily linked to gender and immigration status. Only 52% had ever attended a training on IPV. Most of their organizations had no referral protocol nor educational material about services for IPV for clients. CONCLUSION: Community-based organizations that do not specialize in IPV often work with survivors and are therefore an important resource in IPV prevention and survivor care. Training them on IPV, sensitizing them to understand the systemic barriers the survivors experience, and equipping their organizations are key strategies for developing a coordinated, community-based response to IPV.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».