Building internal capacity in pragmatic trials: a workshop for program scientists at the US National Cancer Institute
Notice bibliographique
Résumé
BACKGROUND: Building capacity in research funding organizations to support the conduct of pragmatic clinical trials is an essential component of advancing biomedical and public health research. To date, efforts to increase the ability to design and carry out pragmatic trials have largely focused on training researchers. To complement these efforts, we developed an interactive workshop tailored to meet the roles and responsibilities of program scientists at the National Cancer Institute-the leading cancer research funding agency in the USA. The objectives of the workshop were to improve the understanding of pragmatic trials and enhance the capacity to distinguish between elements that make a trial more pragmatic or more explanatory among key programmatic staff. To our knowledge, this is the first reported description of such a workshop. MAIN BODY: The workshop was developed to meet the needs of program scientists as researchers and stewards of research funds, which often includes promoting scientific initiatives, advising prospective applicants, collaborating with grantees, and creating training programs. The workshop consisted of presentations from researchers with expertise in the design and interpretation of trials across the explanatory-pragmatic continuum. Presentations were followed by interactive, small-group exercises to solidify participants' understanding of the purpose and conduct of these trials, which were tailored to attendees' areas of expertise across the cancer control continuum and designed to reflect their scope of work as program scientists at NCI. A total of 29 program scientists from the Division of Cancer Control and Population Sciences and the Division of Cancer Prevention participated; 19 completed a post-workshop evaluation. Attendees were very enthusiastic about the workshop: they reported improved knowledge, significant relevance of the material to their work, and increased interest in pragmatic trials across the cancer control continuum. CONCLUSION: Training program scientists at major biomedical research agencies who are responsible for developing funding opportunities and advising grantees is essential for increasing the quality and quantity of pragmatic trials. Together with workshops for other target audiences (e.g., academic researchers), this approach has the potential to shape the future of pragmatic trials and continue to generate more and better actionable evidence to guide decisions that are of critical importance to health care practitioners, policymakers, and patients.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,142 | 0,097 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,013 | 0,011 |
| Communication savante | 0,013 | 0,009 |
| Science ouverte | 0,007 | 0,030 |
| Intégrité de la recherche | 0,009 | 0,028 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,004 |
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 source (Gemma direct ou Codex distillé), 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 ».