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Let's talk about it: conversations in advance care planning

2011· article· en· W2127596652 on OpenAlexaboutno aff
J Beavan, Christianne Fowler, Sarah Russell

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Isolation (microbiology)Process (computing)Communication skillsAdvance care planningPsychologyKey (lock)Engineering ethicsWork (physics)Medical educationPedagogyKnowledge managementComputer scienceEngineeringMedicineNursingPalliative care

Abstract

fetched live from OpenAlex

This workshop is based on Chapter 23 in Thomas and Lobo (2010) 1 where communication skills are seen as integral to delivering advance care planning (ACP). It reflects the need to teach the principles of ACP alongside communication skills. It recognises that to teach these in isolation may lead to a lack of confidence in the professional engaging patients in discussions around end of life care issues. This workshop draws on models of communication that can lend structure, such as SPIKES, PREPARED, SAGE & THYME and the Calgary-Cambridge model of the consultation. To demonstrate how theory moves into practice, relevant scenarios have been identified to illustrate how they may be used. The theory outlined in Chapter 23 has been taken into the workplace to inform the model of education used in delivering ACP. This work is innovative in understanding the relationship between communication skills and effective ACP and has been put into practice in education development. The workshop will consider the key points of an ACP process. Role played scenarios will be used to engage participants in an interactive process that allows specific communication skills to be demonstrated and reflected upon in the context of ACP.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.188
GPT teacher head0.459
Teacher spread0.271 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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