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Record W1980943846 · doi:10.4103/2249-4863.120749

End of life discussion in an academic family health team in Kingston, Ontario, Canada

2013· article· en· W1980943846 on OpenAlexaffabout
Lawrence Leung, Reta French, Wenli Zhang, Kelly Parks, Sarah Ashton, Matt Dumas, Atika Haider

Bibliographic record

VenueJournal of Family Medicine and Primary Care · 2013
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineGerontologyFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: End-of-life (EOL) discussions remain difficult in non-terminal patients as death is often perceived as a taboo and uncertainty. However, the call for proper EOL discussions has recently received public attention and media coverage. Evidence also reveals that non-terminal patients are more satisfied with health-care encounters when EOL has been discussed. OBJECTIVES AND METHODS: The objective of this study was to explore the prevalence of EOL discussions in non-terminal adult patients, the perceived barriers to such discussions and suggested methods for improvement. A study mixed-methods study was performed by a group of PGY1 family medicine residents in an academic health team in Kingston, Ontario. RESULTS: EOL discussion was performed in a very small proportion of non-terminal patient encounters. Compared with attending physicians, residents were less likely to discuss EOL issues and reported more perceived barriers. CONCLUSION: Our findings reflect the need for an early and open approach in conducting EOL discussion for non-terminal healthy patients.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.299
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.097
GPT teacher head0.380
Teacher spread0.283 · 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

Citations3
Published2013
Admission routes2
Has abstractyes

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