‘The government cannot do it all alone’: realist analysis of the minutes of community health committee meetings in Nigeria
Notice bibliographique
Résumé
Since the mid-1980s, the national health policy in Nigeria has sought to inspire community engagement in primary health care by bringing communities into partnership with service providers through community health committees. Using a realist approach to understand how and under what circumstances the committees function, we explored 581 meeting minutes from 129 committees across four states in Nigeria (Lagos, Benue, Nasarawa and Kaduna). We found that community health committees provide opportunities for improving the demand and supply of health care in their community. Committees demonstrate five modes of functioning: through meetings (as 'village square'), reaching out within their community (as 'community connectors'), lobbying governments for support (as 'government botherers'), inducing and augmenting government support (as 'back-up government') and taking control of health care in their community (as 'general overseers'). In performing these functions, community health committees operate within and through the existing social, cultural and religious structures of their community, thereby providing an opportunity for the health facility with which they are linked to be responsive to the needs and values of the community. But due to power asymmetries, committees have limited capacity to influence health facilities for improved performance, and governments for improved health service provision. This is perhaps because national guidelines are not clear on their accountability functions; they are not aware of the minimum standards of services to expect; and they have a limited sense of legitimacy in their relations with sub-national governments because they are established as the consequence of a national policy. Committees therefore tend to promote collective action for self-support more than collective action for demanding accountability. To function optimally, community health committees require national government or non-government organization mentoring and support; they need to be enshrined in law to bolster their sense of legitimacy; and they also require financial support to subsidise their operation costs especially in geographically large communities.
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 ».