Consensus Recommendations to NCCIH from Research Faculty in a Transdisciplinary Academic Consortium for Complementary and Integrative Health and Medicine
Notice bibliographique
Résumé
BACKGROUND: This commentary presents the most impactful, shared priorities for research investment across the licensed complementary and integrative health (CIH) disciplines according to the Academic Consortium for Complementary and Alternative Health Care (ACCAHC). These are (1) research on whole disciplines; (2) costs; and (3) building capacity within the disciplines' universities, colleges, and programs. The issue of research capacity is emphasized. DISCUSSION: ACCAHC urges expansion of investment in the development of researchers who are graduates of CIH programs, particularly those with a continued association with accredited CIH schools. To increase capacity of CIH discipline researchers, we recommend National Center for Complementary and Integrative Health (NCCIH) to (1) continue and expand R25 grants for education in evidence-based healthcare and evidence-informed practice at CIH schools; (2) work to limit researcher attrition from CIH institutions by supporting career development grants for clinicians from licensed CIH fields who are affiliated with and dedicated to continuing to work in accredited CIH schools; (3) fund additional stand-alone grants to CIH institutions that already have a strong research foundation, and collaborate with appropriate National Institutes of Health (NIH) institutes and centers to create infrastructure in these institutions; (4) stimulate higher percentages of grants to conventional centers to require or strongly encourage partnership with CIH institutions or CIH researchers based at CIH institutions, or give priority to those that do; (5) fund research conferences, workshops, and symposia developed through accredited CIH schools, including those that explore best methods for studying the impact of whole disciplines; and (6) following the present NIH policy of giving priority to new researchers, we urge NCCIH to give a marginal benefit to grant applications from CIH clinician-researchers at CIH academic/research institutions, to acknowledge that CIH concepts require specialized expertise to translate to conventional perspectives. SUMMARY: We commend NCCIH for its previous efforts to support high-quality research in the CIH disciplines. As NCCIH develops its 2016-2020 strategic plan, these recommendations to prioritize research based on whole disciplines, encourage collection of outcome data related to costs, and further support capacity-building within CIH institutions remain relevant and are a strategic use of funds that can benefit the nation's health.
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 | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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; un appel candidat d’une seule tête enseignante, 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 ».