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Enregistrement W4213039677 · doi:10.4300/1949-8357-6.1.11

In This Issue

2014· article· en· W4213039677 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Graduate Medical Education · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueSimulation-Based Education in Healthcare
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésData scienceMEDLINEComputer scienceMedicinePolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

A guest editorial by Norman, Norcini, and Bordage discusses some well-known problems with competency-based education, yet also highlights the benefits of the educational Milestones (p. 1). An editorial by Olle ten Cate discusses draft core entrustable professional activities for graduating medical students and the implications of competency-based expectations at the entry to graduate medical education (p. 7).Tackett describes his experience as a medical correspondent for a news organization and the challenge of making medical research germane to a lay audience (p. 13); Prayson et al examine similarities between learning plans and business plans and how they can be used to learners' advantage (p. 15). Carter dispels common myths and misperceptions about the educational Milestones and offers a personal view of progress in resident assessment and feedback (p. 18).Sidi et al report on how simulation training can identify and address gaps in anesthesia nontechnical skills at the level of the individual learner and the program (p. 85).Dine and colleagues study patient evaluations of intern communication skills, finding they add a new perspective (p. 71). In his commentary, Schuwirth discusses methodological implications, and recommends that focusing on participants in work-based assessments contributes more to the quality of these assessments than efforts to improve the psychometric properties of assessment tools (p. 165).Saft et al find reduced intensive care unit (ICU) use at the end of life associated with the quality of palliative care training and the use of bedside palliative care tools (p. 44). A commentary by Hurd and Curtis suggests that high-quality palliative care education and better palliative care in the ICU are linked and collectively reduce ICU when added care is futile (p. 167).Rosenbluth and colleagues find that faculty assessments of the best residents identifies a “Zing Factor” with limited overlap with current competency frameworks and suggest these added dimensions could inform future resident assessments (p. 106). A commentary by Schumacher discusses the implications of an interest in the “best” residents on educational aims (p. 172).Ha et al compare a traditional noon conference to an academic half-day model, finding the latter improves medical knowledge acquisition and satisfaction (p. 93). Sawatsky and colleagues report the traditional noon conference format is more effective when it addresses clinically relevant and applicable topics and occurs in a safe learning environment (p. 32).Mintz and Stoller's narrative review of emotional intelligence (EI) in medicine and medical education finds EI enhances leadership skills in physicians throughout their careers (p. 21).Riebschleger and colleagues at the American Board of Pediatrics find that 1 of 6 pediatrics rheumatology fellows (17%) does not complete training and discuss the implications on subspecialty workforce (p. 158).Averbukh and Southern find that added supervision and resident diligence early in the year may compensate for the “July effect” and the negative effects of high team workload (p. 65). Segon and colleagues find that patient outcomes are not affected by rapid response teams in a community setting with 24/7 resident coverage (p. 61). Donnelly and colleagues study end of training handoffs and find those handoffs may not require a specialized format and an improvement can be readily instituted (p. 112).Dyrbye and colleagues describe a screening tool for physicians in distress and its use in identifying residents who may benefit from added resources or in resident self-assessment for subsequent help seeking (p. 78). Gilleland et al study after-hours electronic health record (EHR) access by residents and find counting those hours would increase duty hour violations but do not find an association between after-hours EHR use and resident burnout (p. 151).Research from Canada finds that a rigorous internal review could replace accreditation visits for stable, high-performing programs, allowing external reviews to focus on programs with performance problems identified during the internal reviews (Doyle et al, p. 55). Narayan et al study a “Clinical Skills Fair” and find it is an effective and sustainable approach to program evaluation in a continuous improvement process (p. 133).Carek et al find that, contrary to expectations, recent family medicine residency graduates' likelihood of engaging in quality improvement (QI) in practice is not associated with their exposure to QI during training (p. 50). Gonzalo and colleagues report on a systems-focused morbidity and mortality conference that was successful in promoting multidisciplinary participation, presenting adverse events, and highlighting and discussing systems issues in a nonpunitive manner (p. 139). Yanamadala and colleagues find a web-based model for educating residents about QI was comparable in content acquisition and more efficient than traditional approaches (p. 147).Tofil et al use a simulation model to study fellows as teachers and identify common weaknesses, including failure to provide objectives to learners, failure to provide a summary of key learning points, and lack of inclusion of all learners (p. 127). A study from Nigeria finds that residents' teaching skills are not adequate to their role as teachers, warranting enhancement of education focused on enhancing resident teaching skills (Owolabi et al, p. 123).Witzeman and Kopfman study obstetrics-gynecology residents' learning needs about treating patients with chronic pelvic pain and find preference for one-on-one clinic time and diagnostic algorithms (p. 39). Winkel and colleagues describe how a simulation-based objective structured clinical examination for obstetrics-gynecology residents enabled assessment of competencies that are difficult to measure in a standardized way and discuss the benefits of faculty debriefing (p. 117).Kesselheim et al find high prevalence of social network site (SNS) use by trainees and recommend education about appropriate and inappropriate SNS as part of resident education (p. 100). A commentary by Kind suggests use of social media in a work context as a kind of entrustable professional activity for residents (p. 170).Kalava and colleagues find that residents lacked sufficient typing skills for efficient use of EHRs, which may affect their time for learning and patient care (p. 155).Promes and Wagner describe key elements of Clinical Competency Committees (CCCs) and offer practical suggestions for CCC functioning to enhance evaluation in the Next Accreditation System (p. 163).Casavant comments on a recent article on faculty and resident physicians' willingness to report for duty during disaster events, recommending added clarity in institutional guidance for physicians for those types of situations (p. 174).Corbelli describes her personal learning from an event in which a patient was misdiagnosed and her thoughts about the implications for the teaching and learning process (p. 175).A companion to the 2014 Supplement showing the educational Milestones for the 20 specialties in Phase II of the Next Accreditation System shows the architecture of the educational Milestones across all 27 accredited specialties (p. 177). Holt et al report interesting findings and trends from the ACGME Resident and Faculty Survey, including data that tap into comparable constructs (p. 183).The Journal recognizes its reviewers in 2013 and thanks them for their contribution to the peer review process (p. 189).

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)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,345
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,040
Tête enseignante GPT0,415
Écart entre enseignants0,375 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2014
Routes d'admission1
Résumé présentoui

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