A scoping review of training and deployment policies for human resources for health for maternal, newborn, and child health in rural Africa
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
BACKGROUND: Most African countries are facing a human resources for health (HRH) crisis, lacking the required workforce to deliver basic health care, including care for mothers and children. This is especially acute in rural areas and has limited countries' abilities to meet maternal, newborn, and child health (MNCH) targets outlined by Millennium Development Goals 4 and 5. To address the HRH challenges, evidence-based deployment and training policies are required. However, the resources available to country-level policy makers to create such policies are limited. To inform future HRH planning, a scoping review was conducted to identify the type, extent, and quality of evidence that exists on HRH policies for rural MNCH in Africa. METHODS: Fourteen electronic health and health education databases were searched for peer-reviewed papers specific to training and deployment policies for doctors, nurses, and midwives for rural MNCH in African countries with English, Portuguese, or French as official languages. Non-peer reviewed literature and policy documents were also identified through systematic searches of selected international organizations and government websites. Documents were included based on pre-determined criteria. RESULTS: There was an overall paucity of information on training and deployment policies for HRH for MNCH in rural Africa; 37 articles met the inclusion criteria. Of these, the majority of primary research studies employed a variety of qualitative and quantitative methods. Doctors, nurses, and midwives were equally represented in the selected policy literature. Policies focusing exclusively on training or deployment were limited; most documents focused on both training and deployment or were broader with embedded implications for the management of HRH or MNCH. Relevant government websites varied in functionality and in the availability of policy documents. CONCLUSIONS: The lack of available documentation and an apparent bias towards HRH research in developed areas suggest a need for strengthened capacity for HRH policy research in Africa. This will result in enhanced potential for evidence uptake into policy. Enhanced alignment between policy-makers' information needs and the independent research agenda could further assist knowledge development and uptake. The results of this scoping review informed an in-depth analysis of relevant policies in a sub-set of African countries.
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.
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 | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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 découle