Epidemiologic Pattern and Injury Mechanism of Intimate Partner Violence–Related Ocular Trauma in the US
Notice bibliographique
Résumé
Importance: Intimate partner violence (IPV) is an important cause of death and disability worldwide. The literature estimates that 45% of IPV injuries involve the eyes. Many medical fields have increased IPV-related research; however, ophthalmology IPV research remains rare. Objective: To evaluate the epidemiologic pattern and injury mechanism of IPV related to ocular trauma. Design, Setting, and Participants: This study was a retrospective cross-sectional analysis with deidentified data using the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification (ICD-10-CM) codes from the National Trauma Data Bank (NTDB), which is a data set collected by the American College of Surgeons. The NTDB is the largest US hospitalized trauma case database with submissions from more than 900 US facilities. Included in this analysis were the IPV-related ocular injuries of patients hospitalized between 2017 and 2019. Study data were analyzed from April 20 to October 15, 2022. Exposures: IPV-related ocular injuries. Main Outcomes and Measures: Ocular injuries and adult IPV trauma survivors were identified with the ICD-10-CM codes. The following demographic data were collected: sex, age, race and ethnicity, health insurance plan, substance misuse screening results, trauma level of hospital, the emergency department disposition, the total Glasgow Coma Scale score, the abbreviated injury scale, and caregiver at discharge. Results: A total of 2598 of the recorded ocular injuries were associated with IPV. Patients had a mean (SD) age of 45.2 (18.4) years, and 1618 were female (62.3%). Most patients in the population sample (1195 [46.0%]) were aged 18 to 39 years. The race and ethnicity distribution was as follows: 629 Black (24.2%), 296 Hispanic (11.4%), 1358 White (52.3%), 229 other (8.8%), and 86 missing (3.3%). Insurance statuses were Medicaid (847 [32.6%]), Medicare (524 [20.2%]), private insurance (524 [20.2%]), and self-pay (488 [18.8%]). Women had greater odds of testing positive during alcohol screening (odds ratio [OR], 1.42; 95% CI, 1.21-1.67; P < .001). Black patients were most likely to have Medicaid (OR, 1.64; 95% CI, 1.35-1.99; P < .001), Hispanic patients were most likely to self-pay (OR, 1.96, 95% CI, 1.48-2.58; P < .001), and White patients were most likely to use Medicare (OR, 2.94, 95% CI, 2.33-3.73; P < .001). Conclusions and Relevance: Social determinants of health were identified as key risk factors for IPV-related ocular injuries. Study findings highlight identifiable risk factors associated with IPV and ocular trauma that can contribute to IPV awareness among ophthalmologists.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 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 ».