Implementing a national health research for development platform in a low-income country – a review of Malawi’s Health Research Capacity Strengthening Initiative
Notice bibliographique
Résumé
BACKGROUND: National health research for development (R4D) platforms in lower income countries (LICs) are few. The Health Research Capacity Strengthening Initiative (HRCSI, 2008-2013) was a national systems-strengthening programme in Malawi involved in national priority setting, decision-making on funding, and health research actor mobilization. METHODS: We adopted a retrospective mixed-methods evaluation approach, starting with information gleaned from reports (HRCSI and Malawian) and databases (HRCSI). A framework of a health research system (actors and components) guided report review and interview guide development. From a list of 173 individuals involved in HRCSI, 30 interviewees were selected within categories of stakeholders. Interviews were conducted face-to-face or via telephone/Skype over 1 month, documented with extensive notes. Analysis of emerging themes was iterative among co-evaluators, with synthesis according to the implementation stage. RESULTS: Major HRCSI outputs included (1) National research priority-setting: through the production of themed background papers by Malawian health researchers and broad consultation, HRCSI led the development of a National Health Research Agenda (2012-2016), widely regarded as one of HRCSI's foremost achievements. (2) Institutional research capacity: there was an overwhelming view that HRCSI had produced a step-change in the number of high calibre scientists in Malawi and in fostering research interest among young Malawians, providing support for around 56 MSc and PhD students, and over 400 undergraduate health-related projects. (3) Knowledge sharing: HRCSI supported research dissemination through national and institutional meetings by sponsoring attendance at conferences and through close relationships with individuals in the print media for disseminating information. (4) Sustainability: From 2011-2013, HRCSI significantly improved research systems, processes and leadership in Malawi, but further strengthening was needed for HRCSI to be effectively integrated into government structures and sustained long-term. Overall, HRCSI carried out many components relevant to a national health research system coordinating platform, and became competent at managing over half of 12 areas of performance for research councils. Debate about its location and challenges to sustainability remain open questions. CONCLUSIONS: More experimentation in the setting-up of national health R4D platforms to promote country 'ownership' is needed, accompanied by evaluation processes that facilitate learning and knowledge exchange of better practices among key actors in health R4D systems.
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 | 0,274 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,000 |
| Bibliométrie | 0,006 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,004 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».