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Record W4393904421 · doi:10.1080/08351813.2024.2305048

Communication in Palliative Care and About End of Life: A State-of-the-Art Literature Review of Conversation-Analytic Research in Healthcare

2024· article· en· W4393904421 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch on Language and Social Interaction · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsConversationPalliative careConversation analysisHealth carePsychologyScholarshipEnd-of-life careDelicacyNursingSociologyPublic relationsMedicinePolitical scienceCommunication

Abstract

fetched live from OpenAlex

I review conversation analytic research on healthcare interactions in palliative care, and end-of-life preferences and plans conversations in other settings.The review process drew on established systematic review methods.Twenty-two publications were included.Key themes were initiating and managing the topics of dying, of prognosis, and of advance care planning, and interactionally managing emotions.There is substantial, cumulative evidence about patterns and practices for initiating sensitive conversations, managing emotions, and indirectly referring to death.Two of 22 studies examined interactional consequences of companions accompanying patients, and two examined pain assessment.Current evidence is restricted: 21 of 22 studies were in secondary/tertiary care and all were in high-income countries, and most involved specialist physicians.Nevertheless, findings contribute to conversation analytic scholarship on delicacy, emotion in interaction, and indirect reference.Healthcare applications include contributions to training in communicating about sensitive topics and to policy on talking about dying.Data presented are in British English, U.S. English, Canadian English, Swiss-French, and Japanese. Overview and backgroundThis state-of-the-art review examines published findings from conversation analytic research on palliative and end of life (EoL) healthcare interactions.The studies reviewed examine recurrent difficulties entailed in these high-stakes, important conversations-conversations that are often daunting for all parties involved.Most of this work aims to describe and understand interactional means by which people limit, circumvent, or overcome these difficulties, and thereby achieve palliative care and EoL conversations of substance and sensitivity.A small number of the studies examine ways in which healthcare professionals (HCPs) can exacerbate the difficulties entailed.My focus is on interactions in which people approach and address current and future states of affairs and events that are arguably the most painful, distressing, frightening, and-in a senseunknowable matters that humans deal with in our lives.Besides being emotionally charged, other interactional challenges arise.These include uncertainties about at least three matters: how long someone will live, the precise nature and course of future symptoms, and the availability and

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.159
GPT teacher head0.495
Teacher spread0.336 · 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