MétaCan
Menu
Back to cohort

Keeping Vigil over the Patient: a grounded theory of nurse anaesthesia practice

2010· article· en· W1988999989 on OpenAlexaffabout
Rita Schreiber, Marjorie MacDonald

Bibliographic record

VenueJournal of Advanced Nursing · 2010
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVigilGrounded theoryNursingMedicineQualitative researchSociology

Abstract

fetched live from OpenAlex

AIM: This paper is a report of a study exploring the role and practice of nurse anaesthetists, with particular attention to describing how it is 'nursing'. BACKGROUND: In many countries, there is no nurse anaesthetist role. Recent events suggest that hesitancy about the role may be changing in Canada. Yet, there is limited understanding in Canada about nurse anaesthesia, and many nurses do not believe it is nursing. METHOD: This grounded theory study involved theoretical and purposive sampling to gather data through: (i) participant observation and face-to-face interviews at the 75th annual American Association of Nurse Anesthetists convention in August, 2006, (ii) follow-up telephone interviews and (iii) a 4-day site visit to a small city in the west of the United States to observe anaesthetists in practice and working with students, visit an educational program, and conduct further interviews. Data collection and analysis were iterative and continued until saturation was reached in December, 2007. FINDINGS: A basic social process of how nurse anaesthetists practise, Keeping Vigil over the Patient, was identified. Keeping Vigil over the Patient is comprised of four categories: Engaging with the Patient, Finessing the Human-Technology Interface, Massaging the Message and Foregrounding Nursing. CONCLUSION: Nursing was clearly evident in anaesthesia practice, reflecting a seamless integration of divergent ontological perspectives. Based on this examination, this role has considerable potential as a new advanced practice nursing role in countries where it has not yet been adopted.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.021
GPT teacher head0.412
Teacher spread0.390 · 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 designOther design
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

Citations48
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Advanced NursingSame topicNursing Roles and PracticesFrench-language works237,207