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Enregistrement W4302763297 · doi:10.1097/corr.0000000000002329

What Is the Prevalence of Intimate Partner Violence and Traumatic Brain Injury in Fracture Clinic Patients?

2022· article· en· W4302763297 sur OpenAlexaffabout
Lyn S. Turkstra, Krista Salanki, Emily MacIntyre, Noel N. Kim, Jonathan Jin, Sheila Sprague, Taryn Scott, Mohit Bhandari

Notice bibliographique

RevueClinical Orthopaedics and Related Research · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueIntimate Partner and Family Violence
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineTraumatic brain injuryDomestic violenceTrauma centerInjury preventionPoison controlOccupational safety and healthEmergency departmentOutpatient clinicSuicide preventionPhysical therapyPediatricsPsychiatryMedical emergencyRetrospective cohort studySurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Individuals in violent intimate relationships are at a high risk of sustaining both orthopaedic fractures and traumatic brain injury (TBI), and the fracture clinic may be the first place that concurrent intimate partner violence (IPV) and TBI are recognized. Both IPV and TBI can affect all aspects of fracture management, but prevalence of TBI and comorbid TBI and IPV is unknown. QUESTIONS/PURPOSES: (1) What are the previous-year and lifetime prevalence of IPV and TBI in women presenting to an outpatient orthopaedic fracture clinic? (2) What are the conditional probabilities of TBI in the presence of IPV and the reverse, to explore whether screening for one condition could effectively identify patients with the other? (3) Do patients with TBI, IPV, or both have worse neurobehavioral symptoms than patients without TBI and IPV? METHODS: The study was completed in the fracture clinic at a community Level 1 trauma center in Southern Ontario from July 2018 to March 2019 and included patients seen by three orthopaedic surgeons. Inclusion criteria were self-identification as a woman, age 18 years or older, and the ability to complete forms in English without assistance from the person who brought them to the clinic (for participant safety and privacy). We invited 263 women to participate: 22 were ineligible (for example, they were patients of a surgeon who was not on the study protocol), 87 declined before hearing the topic of the study, and data from eight were excluded because the data were incomplete or lost. Complete data were obtained from 146 participants. Participants' mean age was 52 ± 16 years, and the most common diagnosis was upper or lower limb fracture. Prevalence of IPV was calculated as the number of women who answered "sometimes" or "often" to direct questions from the Woman Abuse Screening Tool, which asks about physical, emotional, and sexual abuse in the past year or person's lifetime. The prevalence of TBI was calculated as the number of women who reported at least one head or neck injury that resulted in feeling dazed or confused or in loss of consciousness lasting 30 minutes or less on the Ohio State University Traumatic Brain Injury Identification Method, a standardized procedure for eliciting lifetime history of TBI through a 3- to 5-minute structured interview. Conditional probabilities were calculated using a Bayesian analysis. Neurobehavioral symptoms were characterized using the Neurobehavioral Symptom Inventory, a standard self-report measure of everyday emotional, somatic, and cognitive complaints after TBI, with total scores compared across groups using a one-way ANOVA. RESULTS: Previous-year prevalence of physical IPV was 7% (10 of 146), and lifetime prevalence was 28% (41 of 146). Previous-year prevalence of TBI was 8% (12 of 146), and lifetime prevalence was 49% (72 of 146). The probability of TBI in the presence of IPV was 0.77, and probability of IPV in the presence of TBI was 0.36. Thus, screening for IPV identified proportionately more patients with TBI than screening for TBI, but the reverse was not true. Neurobehavioral Symptom Inventory scores were higher (more symptoms) in patients with TBI only (23 ± 16) than those with fractures only (12 ± 11, mean difference 11 [95% CI 8 to 18]; p < 0.001), in those with IPV only (17 ± 11) versus fractures only (mean difference 5 [95% CI -1 to -11]; p < 0.05), and in those with both TBI and IPV (25 ± 14) than with fractures only (mean difference 13 [95% CI 8 to 18]; p < 0.001) or those with IPV alone (17 ± 11, mean difference 8 [95% CI -1 to 16]; p < 0.05). CONCLUSION: Using a brief screening interview, we identified a high self-reported prevalence of TBI and IPV alone, consistent with previous studies, and a novel finding of high comorbidity of IPV and TBI. Given that the fracture clinic may be the first healthcare contact for women with IPV and TBI, especially mild TBI associated with IPV, we recommend educating frontline staff on how to identify IPV and TBI as well as implementing brief screening and referral and universal design modifications that support effective, efficient, and accurate communication patients with TBI-related cognitive and communication challenges. LEVEL OF EVIDENCE: Level II, prognostic study.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,120
Score d'incertitude au seuil0,239

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,082
Tête enseignante GPT0,462
Écart entre enseignants0,379 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2022
Routes d'admission2
Résumé présentoui

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