Overcoming challenges to dissemination and implementation of research findings in under-resourced countries
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Notice bibliographique
Résumé
Louis Pasteur once commented on the happiness that a scientist finds when, besides making a discovery, study results find practical application. Where health status is poor and resources are limited, finding such applications is a necessity, not merely a joy.Dissemination, or the distribution of new knowledge gained through research, is essential to the ethical conduct of research. Further, when research is designed to improve health, dissemination is critical to the development of evidence-based medicine and the adoption of evidence-supported interventions and improved practice patterns within specific settings. When dissemination is lacking, research may be considered a waste of resources and a useless pursuit unable to influence positive health outcomes.Effective translation of the findings of health research into policy and the practice of medicine has been slow in many countries considered low or lower middle-income (as defined by the World Bank). This is because such countries often have health care systems that are under-resourced (e.g., lacking personnel or facilities) and thus insufficiently responsive to health needs of their populations. However, implementation research has produced many tools and strategies that can prompt more effective and timelier application of research findings to real world situations.A conscientious researcher can find many suggestions for improving the integration of research evidence into practice. First and foremost, the truthful reporting of results is emphasized as essential because both studies with desirable findings as well those with less than ideal results can provide new and valuable knowledge. Consideration in advance of the audience likely to be interested in study findings can result in suitable packaging and targeted communication of results. Other strategies for avoiding the barriers that can negatively impact implementation of research evidence include the early involvement of stakeholders as research is being designed and discussion before initiation of proposed research with those who will be affected by it. It is also important to recognize the role of education and training for ensuring the skills and knowledge needed for not only the conduct of high quality research but also for the meaningful promotion of results and application of research findings to achieve intended purposes.
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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 | 0,016 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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