Experiences and perspectives on traditional and faith healers’ involvement in the care of people with severe mental health conditions in ethiopia: a scoping review
Notice bibliographique
Résumé
BACKGROUND: Traditional and faith healers (TFHs) play a prominent role in the care of people with severe mental health conditions (MHCs) in many countries. Consequently, there have been calls for closer collaboration between TFHs and mental health care practitioners. This scoping review aimed to map the literature on the experiences of, and perspectives on, traditional and faith healing for people with severe MHCs in Ethiopia. METHODS: The review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews. Pubmed, Embase, CINAHL, Scopus, Web of Science, and PsycINFO databases were searched from the earliest available records to May 2024. Online student MSc/PhD theses and catalogued Ethiopian publications up to 2015 were also searched. Studies were included if they were in English and of any study design using primary data collection. Narrative synthesis was chosen for data synthesis. RESULTS: Of the 3,824 records identified, 31 were included. There were 17 qualitative, 12 quantitative, and two mixed methods studies, conducted in most regions in Ethiopia but with more focus on urban than rural settings. Findings were synthesised under the following themes: perceived causes of MHCs; pathways to care and help-seeking preferences; identification and intervention methods used by TFHs; experience of treatment, satisfaction with care, gaps, and barriers; and collaboration between TFHs and mental health practitioners. People with severe MHCs commonly accessed TFHs first and alongside biomedical care. A substantial range of healers was identified but they were not accessible or acceptable to all communities equally. TFH interventions were diverse and some of their practices were reported to be harmful. However, there were few in-depth studies of TFH care processes. Furthermore, there was little evidence about the experience of care from the perspective of people with severe MHCs. Efforts toward collaboration emphasised the need to develop relationships within which differences could be negotiated. CONCLUSION: Although much is known about the place of TFHs within care pathways for people with MHCs in Ethiopia, there are evidence gaps in relation to the perspectives of people with MHCs and rich contextual understanding of healing processes, both of which are needed for meaningful collaboration to occur.
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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 | 0,018 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,011 | 0,013 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».