Addressing the human resources for health crisis through task-shifting and retention: results from the Africa Health Systems Initiative Support to African Research Partnerships program
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Notice bibliographique
Résumé
In 2008, the Global Health Research Initiative (GHRI) invited applications from teams of researchers and decision-makers who were interested in conducting research related to human resources for health and the implementation and use of integrated health information systems in Africa, with special attention to equity considerations. These thematic areas constituted the focus of the Africa Health Systems Initiative - Support to African Research Partnerships (AHSI-RES) program. The Global Health Research Initiative is a partnership of three Canadian agencies: Foreign Affairs, Trade and Development Canada (DFATD), International Development Research Centre (IDRC), and the Canadian Institutes of Health Research (CIHR). GHRI is hosted at IDRC. AHSI-RES was a five year, $5.9 million CDN research program (2008-2013) supported by Foreign Affairs, Trade and Development Canada ($5 million) and the International Development Research Centre ($900 000). AHSI-RES is the research component of the larger DFATD Africa Health Systems Initiative (AHSI) program. The AHSI program is a 10 year, $450-million CDN commitment (2006-2016) to strengthening national-level health strategies and architecture, and is being implemented by Foreign Affairs, Trade and Development Canada. The AHSI-RES program’s purpose is to support policy relevant research, knowledge translation and exchange in the program’s thematic areas. The AHSI-RES program emphasized the importance of ongoing interaction, collaboration, and exchange of ideas between researchers and decision-makers to maximize the likelihood that research findings would be used to inform programs and policies. A decision-maker was defined as ‘an individual who makes decisions about, or influences, health policies or practices.’ The program used different approaches in order to build or increase local capacity for research, knowledge translation, and research use. The long-term objective was: “Health systems research allows African decision makers, policy advocates and health service managers to improve health outcomes and reduce disease burden through more efficient and affordable health systems” [1]. Teams were required to include one African researcher and one African decision-maker, both as co-principal applicants. Other African and non-African researchers and decision-makers could be involved as co-applicants or as collaborators. The co-principal applicants had to be affiliated with an institution located in an AHSI-RES geographic area of focus. Geographic areas of focus included: Francophone West Africa (Mali, Burkina Faso, Benin); Great Lakes and Eastern Africa (Tanzania, Uganda, Kenya); and Southern Africa (Malawi, Mozambique, Zambia).
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 | 0,036 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,030 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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