Mental health services among Rohingya refugees in Bangladesh: perspectives from field service providers
Notice bibliographique
Résumé
Purpose This paper aims to understand the mental health experiences and needs of Rohingya refugees in Bangladesh from the perspective of mental health-care providers and hospital administrators. Design/methodology/approach This paper conducted a mixed methods study. Clinical data about refugee mental health care of 722 adult and pediatric patients were analyzed, and four focus groups with mental health providers (n = 4), primary health-care providers (n = 5), hospital administrators (n = 4) and midwives (n = 5) were held. Findings Clinical data analysis found that patients were diagnosed and treated for a variety of mental illnesses, including depression, anxiety, psychotic and neurological disorders. Misalignment between diagnosis and psychotropic medication prescription partly exists because of the unavailability of medications. Focus group findings indicate a lack of awareness of mental health conditions, and Rohingya visit hospitals for symptomatic physical ailments. Cultural and social factors discourage people from seeking mental health care. Patients are often brought by concerned family members or community health workers. A limited number of mental health-care providers are available to diagnose and treat Rohingya refugees, and follow-up care is often lacking. Research limitations/implications First, this paper only drew data from one field hospital in the camps. Future research should sample practitioners working in other health centers across all camps for a more comprehensive look at the prevalence and variations in mental health issues and mental health services provision. Second, this paper did not interview patients for this study as the study focused on the perspectives of administrators, health-care providers and support staff. Nevertheless, the inclusion of patients would have illuminated perceptions and attitudes and the social, familial and religious dynamics toward identifying mental health problems and seeking mental health services. Therefore, future research should aim to focus on participants’ voices and experiences. Practical implications Clinics across the camps should enhance the screening of refugees for common mental disorders and encourage them to report cases within their families. Further, health-care providers and support staff should explain to refugees the importance of non-pharmacological treatment approaches and that, according to studies, their effectiveness is equal to or sometimes more effective than pharmacological treatment. Social implications To address mental health-related stigma, conducting awareness campaigns in close collaboration with local leaders is critical to improving the level of knowledge among refugees, which could improve mental health-seeking behaviors. Originality/value This paper fulfills an identified gap in the mental health experiences and needs among the Rohingya refugees. The true prevalence of the range of mental health challenges among the Rohingya population is not accurately known; however, its impact is immense. The data indicates that mental health providers in remote regions be provided with training opportunities so they can effectively treat mental health conditions. Additionally, existing underlying root causes should be addressed through inclusive awareness programs in tandem with increasing the number of mental health clinics and providers across the camps and allocating more resources to provide medications for appropriate case treatment.
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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 | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,004 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».