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Record W2781073794 · doi:10.1089/jpm.2017.0396

Resources for Educating, Training, and Mentoring All Physicians Providing Palliative Care

2017· review· en· W2781073794 on OpenAlexaffabout
James Downar

Bibliographic record

VenueJournal of Palliative Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCancer Care OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicinePalliative careTraining (meteorology)Medical educationNursingMEDLINEFamily medicine

Abstract

fetched live from OpenAlex

This article presents a rapid review of the published literature and available resources for educating Canadian physicians to provide palliative and end-of-life care. Several key messages emerge from the review. First, there are many palliative care educational resources already available for Canadian physicians. Second, the many palliative care education resources are often not used in physician training. Third, we know that some palliative care educational interventions are inexpensive and scalable, while others are costly and time-consuming; we know very little about which palliative care educational interventions impact physician behavior and patient care. Fourth, two palliative care competency areas in particular can be readily taught: symptom management and communication skill (e.g., breaking bad news and advance care planning). Fifth, palliative care educational interventions are undermined by the "hidden curriculum" in medical education; interventions must be accompanied by continuing education and faculty development to create lasting change in physician behavior. Sixth, undergraduate and postgraduate medical training is shifting from a time-based training paradigm to competency-based training and evaluation. Seventh, virtually every physician in Canada should be able to provide basic palliative care; physicians in specialized areas of practice should receive palliative care education that is tailored to their area, rather than generic educational interventions. For each key message, one or more implications are provided, which can serve as recommendations for a framework to improve palliative care as a whole in Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.461
GPT teacher head0.548
Teacher spread0.087 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2017
Admission routes2
Has abstractyes

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