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Record W2060059709 · doi:10.12968/bjon.2013.22.10.570

Staff perceptions of respiratory rate measurement in a general hospital

2013· article· en· W2060059709 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.

Bibliographic record

VenueBritish Journal of Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicinePerceptionNursing staffNursingPsychologyMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: the National Institute for Health and Care Excellence (NICE) (2007) states that 'respiratory rate is the best marker of a sick patient and is the first observation that will indicate a problem or deterioration in condition'. It is therefore crucial that staff are confident that respiratory rates are recorded accurately. AIMS: to assess perceptions of clinical staff regarding methods of assessment and reliability of respiratory rate recordings in observation charts. METHODS: we developed a questionnaire using best practice guidelines. Some 41 ward-based clinical staff completed the questionnaires. FINDINGS: confidence in the reliability of recordings is very low. Clinical staff think recordings are often estimated with no formal measurement, with 'perceived lack of time' being the most commonly cited explanation for inappropriate assessment. CONCLUSIONS: essential clinical information is not being used, as clinical staff lack confidence that it has been assessed correctly. Furthermore, inaccurate recordings could be actively misleading clinical 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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.379

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 studies0.0000.000
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 head0.038
GPT teacher head0.294
Teacher spread0.256 · 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