644 Burn Violence Against Women: The Tip of the Iceberg from a Country’s Nation-wide Burn Centers
Notice bibliographique
Résumé
Abstract Introduction Violence against women is pervasive. An estimated one in four women aged over 15 years old in this country have experienced physical or sexual violence by an intimate partner. Recent high-profile cases of homicidal burn violence perpetrated against women have shocked the nation. Since 2012, the Counting Dead Women project has tallied 30 women whose deaths involved fire-related violence. Currently however, there is a paucity of evidence about the frequency and burden of burn violence against women in this population. The aim of this study was to describe and compare the frequency, sociodemographic characteristics, injuries, and outcomes of women admitted to nation-wide burn centres with burns caused from suspected violence with women with unintentional burns. Methods Data were extracted from the country’s bi-national burn registry for women (≥ 18 years) admitted to nation-wide burn centres, between 2009 and 2022, with burns caused by suspected violence or unintentional burns. Statistical analyses were not performed due to substantial differences in comparator group sizes that would have greatly reduced the statistical power, reliability, and validity of results. Socio-demographic profiles, injury characteristics, and in-hospital outcomes were described and compared. Results Between 2009 and 2022, 157 women (2.5%) were admitted with burn injuries from suspected violence, and 6105 women (97.5%) were admitted with unintentional injuries. Women with burns from suspected violence were younger (median 36 vs 43 years) than women with unintentional burns, greater proportions sustained fire-related burns (38.1% vs 25.3%) with gasoline fuelling the flames (80.0% vs 38.0%), their injuries were more severe (median 2.0 vs 5.0 %TBSA), more likely to involve their head (42.3% vs 16.4%), and a greater proportion of them died (4.5% versus 1.5%). The perpetrators of burn violence were most often women’s current or ex-partners. Conclusions Our study contributes to an emerging and disturbing body of international literature demonstrating the confronting nature and consequences of burn violence perpetrated against women. Our findings are likely an underestimation of the true number of women with burns caused from violence admitted to burn centres, as women do not always disclose violence. Applicability of Research to Practice Whilst the wider problem of ending violence against women currently appears intractable, there is a valuable opportunity available now for burn centers to better protect women, by building capacity and skills within burn teams to be able to better identify women at risk and respond to women who disclose violence. Funding for the Study NIL
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».