FC8: Revising Competencies in Geriatrics for Canadian Medical Students: Adding a Mental Health Perspective
Notice bibliographique
Résumé
In Canada, adults 85 years and older represent one of the fastest growing segments of the population1. Mood disorders and chronic illness often intersect, worsening health outcomes in late life2. In view of demographic trends, medical schools should ensure trainees are equipped with the knowledge, skills and attitudes to work with older adults. However, there continues to be much variation in how medical schools incorporate geriatric content into their curricula.In 2009, the Canadian Geriatrics Society (CGS) outlined 20 competencies in geriatrics to inform medical school curricula, but uptake was minimal. Of note, there were significant gaps in these competencies, which omitted mention of late-life depression. Geriatric mental health experts did not provide input.The objective of this project was to address gaps in geriatric competencies for medical students through an expert review process involving a biopsychosocial approach.Methods:The CGS established a 15-member national working group with representation from geriatric psychiatry, family medicine, a 95-year-old senior, geriatrics and medical trainees. Potential competencies were derived from existing Canadian geriatrics frameworks [Geriatrics 5M, CanMEDs] and 2009 competencies. A modified Delphi process yielded rankings for each competency using a 7-point Likert scale.Results:Between 2019 and 2021, 3 successive national surveys were completed. In the first (n=66), 34 competencies were identified. Agreement in the final survey was 87-95% (mean 90%). 51 participants completed all three. Significant topic omissions in the 2009 list of competencies were frailty, end-of-life care, delirium prevention, health promotion and the assessment and management of depression.Conclusions:Three national surveys expanded the core competencies in geriatrics for medical school curricula from 20 to 31. Expert consensus was high. Themes mapped along existing geriatrics frameworks and incorporated a holistic lens incorporating the perspectives of an older adult and geriatric psychiatrist. In addition to late-life depression, the importance of addressing ageism was also highlighted.Learning objectives for each competency are modifiable for level of training and individual program, offering flexibility. The CGS will continue to advocate for inclusion of updated, expanded competencies into training and licensure in geriatrics.1) Statistics Canada 2021, Canadian Government, accessed 1 January 2023, <. Accessed 20/01/23 <https://www12.statcan.gc.ca/census-recensement/2021/as-sa/98-200-X/2021004/98-200-x2021004-eng.cfm>1) Hall CA, Reynolds III CF. Late-life depression in the primary care setting: challenges, collaborative care and prevention. Maturitas. 2014 Oct; 79(2):147-52.
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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 | 0,003 | 0,001 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».