Sociodemographic Characteristics and Mental and Physical Health Diagnoses of Yazidi Refugees Who Survived the Daesh Genocide and Resettled in Canada
Notice bibliographique
Résumé
Importance: The health status of Yazidi refugees, a group of ethnoreligious minority individuals from northern Iraq who resettled in Canada between 2017 and 2018 after experiencing genocide, displacement, and enslavement by the Islamic State (Daesh), is unknown but important to guide health care and future resettlement planning for Yazidi refugees and other genocide victims. In addition, resettled Yazidi refugees requested documentation of the health impacts of the Daesh genocide. Objective: To characterize sociodemographic characteristics, mental and physical health conditions, and family separations among Yazidi refugees who resettled in Canada. Design, Setting, and Participants: This retrospective clinician- and community-engaged cross-sectional study included 242 Yazidi refugees seen at a Canadian refugee clinic between February 24, 2017, and August 24, 2018. Sociodemographic and clinical diagnoses were extracted through review of electronic medical records. Two reviewers independently categorized patients' diagnoses by International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and ICD-10-CM chapter groups. Diagnosis frequencies were calculated and stratified by age group and sex. Five expert refugee clinicians used a modified Delphi approach to identify diagnoses likely to be associated with Daesh exposure, then corroborated these findings with Yazidi leader coinvestigators. A total of 12 patients without identified diagnoses during the study period were excluded from the analysis of health conditions. Data were analyzed from September 1, 2019, to November 30, 2022. Main Outcomes and Measures: Sociodemographic characteristics; exposure to Daesh captivity, torture, or violence (hereinafter, Daesh exposure); mental and physical health diagnoses; and family separations. Results: Among 242 Yazidi refugees, the median (IQR) age was 19.5 (10.0-30.0) years, and 141 (58.3%) were female. A total of 124 refugees (51.2%) had direct Daesh exposure, and 60 of 63 families (95.2%) experienced family separations after resettlement. Among 230 refugees included in the health conditions analysis, the most common clinical diagnoses were abdominal and pelvic pain (47 patients [20.4%]), iron deficiency (43 patients [18.7%]), anemia (36 patients [15.7%]), and posttraumatic stress disorder (33 patients [14.3%]). Frequently identified ICD-10-CM chapters were symptoms and signs (113 patients [49.1%]), nutritional diseases (86 patients [37.4%]), mental and behavioral disorders (77 patients [33.5%]), and infectious and parasitic diseases (72 patients [31.3%]). Clinicians identified mental health conditions (74 patients [32.2%]), suspected somatoform disorders (111 patients [48.3%]), and sexual and physical violence (26 patients [11.3%]) as likely to be associated with Daesh exposure. Conclusions and Relevance: In this cross-sectional study, Yazidi refugees who resettled in Canada after surviving the Daesh genocide experienced substantial trauma, complex mental and physical health conditions, and nearly universal family separations. These findings highlight the need for comprehensive health care, community engagement, and family reunification and may inform care for other refugees and genocide victims.
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) | 0,000 | 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 ».