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Record W2790710448 · doi:10.1111/nin.12234

Relational ethics of delirium care: Findings from a hospice ethnography

2018· article· en· W2790710448 on OpenAlexaffabout
David Wright, Susan Brajtman, Mary Ellen Macdonald

Bibliographic record

VenueNursing Inquiry · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill UniversityMcGill University Health CentreCanadian Hospice Palliative Care AssociationUniversity of Ottawa
Fundersnot available
KeywordsDeliriumDignityPalliative careNursingContext (archaeology)EthnographyMedicineHospice careEnd-of-life carePsychologyPsychiatrySociology

Abstract

fetched live from OpenAlex

Delirium, a common syndrome in terminally ill people, presents specific challenges to a good death in end-of-life care. This paper examines the relational engagement between hospice nurses and their patients in a context of end-of-life delirium. Ethnographic fieldwork spanning 15 months was conducted at a freestanding residential hospice in eastern Canada. A shared value system was apparent within the nursing community of hospice; patients' comfort and dignity were deemed most at stake and therefore commanded nurses' primary attention. This overarching commitment to comfort and dignity shaped all of nursing practice in this hospice, including practices related to end-of-life delirium. The findings of this study elaborate the ways in which hospice nurses interpreted and responded to the discomfort of their patients in delirium, as well as the efforts they made to understand their patients' subjective experiences and to connect with them in supportive ways. In addition to what is already known about clinical assessment and treatment of delirium in palliative care settings, the findings of this study offer points of reflection for nurses anywhere who are contending with the relational challenges that delirium presents in end-of-life care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.281
GPT teacher head0.466
Teacher spread0.185 · 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

Citations12
Published2018
Admission routes2
Has abstractyes

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