“We’re so limited with what we actually can do if we follow all the rules”: a qualitative study of the impact of COVID-19 public health protocols on violence against women services
Notice bibliographique
Résumé
BACKGROUND: Violence against women (VAW) is a major public health problem that grew worse during the COVID-19 pandemic. While all services were impacted by changing pandemic guidance, VAW shelters, as congregate settings with multiple funders and regulators, faced unique challenges. METHODS: We conducted a qualitative analysis of interviews with 26 women's shelter staff and eight women accessing care, as well as 10 focus groups (five each at two time points approximately a year apart) involving 24 leaders from VAW and related services in Ontario, Canada. RESULTS: We identified eight overlapping themes specific to government and public health COVID-19 regulations and their application in women's shelters. Overall, inconsistency or lack of clarity in rules, and how they were communicated, caused significant stress for women using, and staff providing, services. Staff and leaders were very concerned about rules that isolated women or replicated other aspects of abusive relationships. Women wanted to understand what options were available and what was expected of them and their children in these spaces. Leaders sought clarity and consistency from their various government funders, and from public health authorities, in the face of ever-evolving directives. As in the broader public, there was often the perception that the rules did not apply equally to everyone, for example, for women of colour using VAW services, or those whose first language was not English. CONCLUSIONS: In the absence of consistent pandemic guidance and how to implement it, many VAW services devised tailored solutions to balance safety from COVID-19 with women's physical and emotional safety from abuse and its impacts. However, this was difficult and exhausting. A key policy implication is that women's shelters are a distinct form of congregate housing; they are very different in terms of services provided, size, type and age of facilities from other congregate settings and this must be reflected in public health directives. Better communication and synchronization of policies among government funders and public health authorities, in consultation with VAW sector leaders, would mean protocols tailored to minimize harm to women and children while protecting health and safety.
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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 | 0,016 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».