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Record W1964028738 · doi:10.12968/bjon.2004.13.4.12128

A study into nurses' awareness of the National Service Frameworks

2004· article· en· W1964028738 on OpenAlexaboutno aff
Marc R. Block, David Justham

Bibliographic record

VenueBritish Journal of Nursing · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)NursingAudience measurementGovernment (linguistics)Service (business)Lifelong learningThe InternetOddsMedicineMedical educationPsychologyPolitical sciencePedagogyBusiness

Abstract

fetched live from OpenAlex

This study sought to demonstrate nurses' awareness of the National Service Frameworks (NSFs), which began in 1999, and are an important part of the Government's modernization strategy for the NHS. A questionnaire was sent, in 2002, to a systematic random sample of 228 nurses. The results were analysed for descriptive and comparative statistics using the computer software Statistical Package for the Social Sciences (SPSS), and the nurses questioned showed a low to moderate level of awareness. A quarter of nurses had not heard of the NSFs before receiving the questionnaire, and of those who had, only half had tried to find out more information. Despite high readership of nursing journals and good internet use, nurses did not think it was their responsibility to use such sources to find out about the NSFs, considering rather that management should provide study days and workplace teaching. While this outlook may be at odds with the concepts of lifelong learning and professional responsibilities as outlined by the Nursing and Midwifery Council, it is suggested that formal mechanisms of dissemination of reforms need to be implemented if nurses are to participate fully in them.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.162
GPT teacher head0.524
Teacher spread0.361 · 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 designQualitative
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

Citations2
Published2004
Admission routes1
Has abstractyes

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