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Enregistrement W1965626984 · doi:10.1111/j.1743-498x.2011.00450.x

Making it matter

2011· editorial· en· W1965626984 sur OpenAlexaboutno aff
Steve Trumble

Notice bibliographique

RevueThe Clinical Teacher · 2011
Typeeditorial
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumNothingMedical educationPoint (geometry)Medical schoolService (business)PsychologyMedicinePedagogyBusiness

Résumé

récupéré en direct d'OpenAlex

One of the most enjoyable aspects of refurbishing a long-established medical course is that a great deal of accreted curriculum content can be jettisoned to make room for more contemporary materials and methods. Unfortunately, it is easier to graft on new content than it is to prune the old. Every tiny twig of teaching is held dear by at least one person in the faculty, who will warn of dire consequences if their bit is not taught. Really new ideas are rare enough that their arrival causes a frisson of excitement amongst those who are redesigning the curriculum. Even more exciting, however, are ideas that bring a brand new aspect to medical education while also providing a useful service to the community. Educational activities that immediately lead to improved patient outcomes are at the pinnacle of what we are seeking to achieve. In Kirkpatrick’s well-known four-stage model,1 a medical course that achieves direct results for patients (rather than just equipping students with knowledge, skills and attitudes to use in the workplace) is to be celebrated. So it is somewhat ironic that one idea for clinical education that is gaining traction in Australia is neither particularly new nor anything much to do with the medical curriculum. It is the volunteer student-led clinic. At this point, North American readers will let out a snort of derision. Student-led clinics are nothing new in the USA and Canada, with just over half of US medical schools being associated with at least one of more than 100 such clinics.2 In many cases, student-led clinics provide the only services that disadvantaged groups can afford. Studies are emerging that show patients who attend these clinics do no worse – and in some cases do better – than others from similar disadvantaged backgrounds, or even than those with health insurance, on some measures.3, 4 Patients are satisfied with the service that they receive,5 and students learn an enormous amount about interprofessional health care and how it is delivered.6, 7 Because what they do actually matters. Student-led clinics do not appear to be prevalent in the UK’s NHS, although they may well have had their origins in such compassionate ventures as Lettsom’s General Dispensary in London’s Aldersgate Street, or Sir Andrew Duncan’s people’s dispensary in Edinburgh in the 1770s.8 These dispensaries were driven by remarkable doctors, however, whereas today’s student-led clinics are notable by their reliance on the students themselves to set them up, navigate the minefields of indemnity insurance, recruit volunteer supervisors and take frontline responsibility for managing patients. It is clear that those involved in establishing a student-led clinic learn many vital professional skills before the first patient even crosses the threshold. Interprofessionalism is another new concept in most medical curricula, and it struggles to find purchase when taught in abstraction. Role-plays, simulated emergencies and interprofessional team challenges are all worthwhile learning activities, but nothing compares with actually working in an interdisciplinary team of students that is directly and solely responsible for a real patient’s health care. It is early days yet for the clinic that is forming in Melbourne, but I was struck by an e-mail from a newly qualified nurse who is playing a leadership role in pulling it all together. ...from an interdisciplinary practice perspective, I have found that I have developed a greater awareness for the communication strategies I use with students of different disciplines, based on their professional and social values, in order to achieve the various outcomes we desire. This is a valuable skill for interdisciplinary practice – and we haven’t even opened the doors...yet! Editor in Chief

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,069
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0030,012
Charge utile insuffisante (le modèle a refusé de juger)0,0530,042

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.

Tête enseignante Opus0,379
Tête enseignante GPT0,595
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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