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‘The real stuff’: implications for nursing of assessing and measuring a terminally ill person’s quality of life

2001· article· en· W2913647563 on OpenAlexfundaboutno aff
Merilyn Annells, Tina Koch

Bibliographic record

VenueJournal of Clinical Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersUniversity of WollongongMcGill University
KeywordsNursingPalliative careIntervention (counseling)Perspective (graphical)Quality (philosophy)MedicineQuality of life (healthcare)Terminally illTest (biology)Action (physics)PsychologyComputer science

Abstract

fetched live from OpenAlex

• Two quality of life (QoL) assessment and measurement tools, the Client Generated Index (CGI) and the McGill Quality of Life (MQOL) questionnaires, were trialled within district nursing palliative care to test usefulness and feasibility for holistic intervention selection, individualized palliative care planning, and measurement of the quality of dying. • The specific focus of this paper is to discuss the less tangible outcomes of the trial, which illuminate the partly ‘hidden’ value and nature of clinical nursing. • These outcomes include awareness that the use of such tools may: by actual administration of the tool be, in and of itself, a therapeutic nursing action; focus on ‘the real stuff’ from the client’s perspective, that which matters most to the terminally ill client, but may not be classically considered as prompting nursing intervention; and facilitate ‘the real stuff’ of nursing, perhaps known but not usually articulated by nurses, and which usually does not feature on care plans nor in time allocation schedules.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.432
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
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)0.0000.000

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 head0.514
GPT teacher head0.607
Teacher spread0.093 · 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
Published2001
Admission routes2
Has abstractyes

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