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Record W2991932938 · doi:10.36834/cmej.36860

Survey evaluations of University of British Columbia residents’ education and attitudes regarding palliative care and physician assisted death

2017· article· en· W2991932938 on OpenAlexafffundvenueabout
David Eddy Spicer, Sonia Paul, Tom Tang, Charlie Chen, Jocelyn Chase

Bibliographic record

VenueCanadian Medical Education Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsPalliative careLikert scaleFamily medicineMedicineNursingPsychology

Abstract

fetched live from OpenAlex

Background: Little prior research has been conducted regarding resident physicians’ opinions on the subject of Physician Assisted Death (PAD), despite past surveys ascertaining the attitudes of practicing physicians towards PAD in Canada. We solicited British Columbia residents’ opinions on the amount of education they receive about palliative care and physician assisted death, and their attitudes towards the implementation of PAD.Methods: We conducted a cross sectional, anonymous online survey with the resident physicians of British Columbia, Canada. Questions included: close-ended questions, graded Likert scale questions, and comments. Results: Among the respondents (n=299, response rate 24%), 44% received ≥5 hours of education in palliative care, 40% received between zero and four hours of education, and 16% reported zero hours. Of all respondents, 75% had received no education about PAD and the majority agreed that there should be more education about palliative care (74%) and PAD (85%). Only 35% of residents felt their program provided them with enough education to make an informed decision about PAD, yet 59% would provide a consenting patient with PAD. Half of the respondents believed PAD would ultimately be provided by palliative care physicians.Interpretation: Residents desire further education about palliative care and PAD. Training programs should consider conducting a thorough needs assessment and implementing structured education to meet this need.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.418
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations8
Published2017
Admission routes4
Has abstractyes

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Same venueCanadian Medical Education JournalSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207