Supporting Medication Appropriateness Among Indigenous Peoples in Canada: Reflections on the Development and Implementation of a Network Action Plan
Notice bibliographique
Résumé
Amber Ruben has received research support from the Canadian Medication Appropriateness and Deprescribing Network, a health research and knowledge mobilization organization that receives funding from Canada's Drug Agency, Accelerating Clinical Trials Canada and the Canadian Institutes of Health Research. Ms. Ruben is chair of the Network's Indigenization Working Group. She has received funding for research with a First Nation from the Social Sciences and Humanities Research Council in Canada. She is on the Board of Directors for the Indigenous Pharmacy Professionals of Canada. Jennie Herbin is the lead for patient and community engagement with the Canadian Medication Appropriateness and Deprescribing Network, a health research and knowledge mobilization organization that receives funding from Canada's Drug Agency, Accelerating Clinical Trials Canada and the Canadian Institutes of Health Research. Amy Lamb is a member of the Canadian Medication Appropriateness and Deprescribing Network's Indigenization Working Group. She is the Executive Director of the Indigenous Pharmacy Professionals of Canada. She owns a share in Heritage Health Group Inc., which operates pharmacies in Saskatchewan. Dr. Larry Leung is a member of the Canadian Medication Appropriateness and Deprescribing Network's Indigenization Working Group and sits as a volunteer member of the Board of Directors for Indigicare Medicines Ltd. He currently holds grant funding from Vancouver Foundation, McKesson Foundation and the Canadian Foundation for Pharmacy. Dr. Jason Min currently holds grant funding from the Vancouver Foundation and McKesson Foundation, related to supporting Indigenous-led community pharmacy models and supporting Indigenous pharmacy students, respectively. He is a member of the Canadian Medication Appropriateness and Deprescribing Network's Indigenization Working Group and is on the Board of Directors for Indigicare Medicines, an Indigenous-owned community pharmacy. Inès Paschos is the coordinator for public engagement and health promotion with the Canadian Medication Appropriateness and Deprescribing Network, a health research and knowledge mobilization organization that receives funding from Canada's Drug Agency, Accelerating Clinical Trials Canada and the Canadian Institutes of Health Research. Dr. Wade Thompson receives grant funding from Health Canada and NIH, and is supported by a salary award from Michael Smith Health Research BC. Dr. Emily McDonald is the director of the Canadian Medication Appropriateness and Deprescribing Network, a health organization that receives funding from Canada's Drug Agency, the Canadian Institutes of Health Research and Accelerating Clinical Trials Canada. Dr. Emily McDonald has received funding from CIHR and the Centre for Aging and Brain Health Innovation for her ongoing research evaluating the impact of MedSafer on prescribing practices. Dr. Cheryl Sadowski is a member of the Indigenization Working Group, Research Committee and Health Care Provider Committee with the Canadian Medication Appropriateness and Deprescribing Network. She holds funding for research with a First Nation from the Social Sciences and Humanities Research Council in Canada.
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 | 0,045 | 0,048 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,034 | 0,010 |
| Communication savante | 0,010 | 0,005 |
| Science ouverte | 0,009 | 0,016 |
| Intégrité de la recherche | 0,007 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».