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Record W152412687

Development and validation of a time and motion tool to measure cardiology acute care nurse practitioner activities.

2011· article· en· W152412687 on OpenAlexaff
Kelley Kilpatrick

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsNursingMedicineHealth careWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Acute care nurse practitioners (ACNPs) provide advanced nursing care to patients and families who are experiencing a complex acute, critical or chronic health condition. A clear understanding of ACNP activities may facilitate the deployment of ACNP roles in health care teams. Time and motion studies represent the gold standard to measure clinician work time. METHODS: A time and motion tool to measure cardiology ACNP activities was developed and pilot-tested in two organizations. FINDINGS: The researcher produced a valid and reliable tool. The inter-observer agreement was 0.94 following the pilot study. A training guide and a training schedule were produced to support the use of the time and motion tool. Each activity was defined to facilitate the coding of ACNP activities. CONCLUSION: A validated tool can contribute to our knowledge of ACNP activities and role components, and identify the ACNPs' contributions to patient care and the functioning of the health care team.

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)0.000
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 score0.879
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.065
GPT teacher head0.334
Teacher spread0.269 · 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

Citations12
Published2011
Admission routes1
Has abstractyes

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