Perceptions and experiences of perinatal mental disorders in rural, predominantly ethnic minority communities in northern Vietnam
Notice bibliographique
Résumé
BACKGROUND: Preliminary research has suggested that perinatal mental disorders (PMDs), including post-partum depression, are prevalent in Vietnam. However the extent to which these disorders are recognized at the community level remains largely undocumented in the literature. PMDs have also never been investigated within Vietnam's significant ethnic minority populations, who are known to bear a greater burden of maternal and infant health challenges than the ethnic majority. OBJECTIVE: To investigate knowledge and perceptions of PMDs and their treatments at the community level in a rural, predominantly ethnic minority region of northern Vietnam. METHODS: Qualitative semi-structured interviews were conducted on the topic of common PMDs. Participant groups were primary health workers (PHWs) working at local community health centers, and pregnant or postpartum women enrolled in a program for maternal and infant health that was not mental health related. Interviews included vignette scenarios that asked respondents to interpret cases of women experiencing PMDs, as well as open-ended questions about mental disorders and their treatments. RESULTS: Twelve PHWs and 14 perinatal women completed the study. Major themes that emerged from the interviews included (1) Family relationships impact psychological well-being, (2) Nutrition contributes to perinatal mental health, (3) Both traditional and western medicine play roles in perinatal health, (4) There was a lack of personal experience with women experiencing PMDs, (5) Descriptions of mental health symptoms focused on behaviours, and (6) Community care is the primary mental health support. CONCLUSIONS: PHWs reported having almost never treated a woman with a PMD. However, anecdotal evidence from the women interviewed suggests that there are incidents of mental disorders during the perinatal period that go largely unaddressed. Willingness to present to primary care appears to be high, and presents an opportunity to address this need by training PHWs in effective screening, treatment, and referral. Such training should account for culturally specific presentations of mental disorders as well as the importance of the patient's social context. To the best of the author's knowledge, this research presents the first evidence of a PMD burden within Vietnam's ethnic minority communities.
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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.
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