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Record W2095964888 · doi:10.1177/10547730022158681

Nurse Comforting Strategies

2000· article· en· W2095964888 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueClinical Nursing Research · 2000
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNursingExploratory researchQualitative researchPerspective (graphical)MedicinePsychologyContent analysis

Abstract

fetched live from OpenAlex

Throughout nursing's history, comfort has been a desired outcome in the provision of nursing care. Yet, attempts to understand comfort and comforting have only recently emerged. To date,few studies have explored comfort and comforting from patients' perspectives. The purpose of this qualitative exploratory study was to describe nurse comforting strategies as well as the outcomes of nurse comforting strategies from the perspective of emergency department (ED) patients. The study took place in a rural Canadian acute care regional hospital. A volunteer sample of 14 hospitalized patients who had received initial treatment in the ED were interviewed. Interviews were transcribed and content analysis performed. Participants described nurses' comforting strategies under the following categories: immediate and competent technical/physical care, positive talk, vigilance, attending to physical discomforts, and including and attending to family. The comforting strategies used by nurses had a positive impact on the physical and emotional well-being of the participants.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0040.004

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 head0.457
GPT teacher head0.655
Teacher spread0.198 · 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