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Record W2253347799 · doi:10.1111/nhs.12261

New Brunswick nurses' views on nursing research, and factors influencing their research activities in clinical practice

2016· article· en· W2253347799 on OpenAlexaffabout
Sylvie Robichaud‐Ekstrand

Bibliographic record

VenueNursing and Health Sciences · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsNursingNursing researchMedicineNursing practiceDescriptive researchClinical PracticeQualitative researchSociology

Abstract

fetched live from OpenAlex

New Brunswick became the first province in Canada to require a baccalaureate degree in nursing as the entry to practice, yet nursing research in hospital settings remains quite low. This study examined clinical nurses' views on nursing research, and identified some contributing factors to the research-practice gap. This descriptive, cross-sectional multicenter study involved 1081 nurses working in the Francophone Regional Health Authority in New Brunswick, Canada. Nurses were eager to identify nursing-care problems to improve patient care (92.9%), and to be involved in collecting data for nursing research studies (95.2%). However, without research supervision, few had engaged in basic research activities, such as formulating or refining research questions (24.5%), presenting at research conferences (6.9%), or changing their practice based on research findings (27.2%). Younger, more educated nurses, nurse managers, and educators participated more readily in research. Sharing research and clinical expertise, as well as infrastructures between academic and clinical institutions is the key to enduring successful patient-centered nursing research in clinical settings. Concrete actions are proposed to build clinical nursing research.

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)0.048
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
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 head0.662
GPT teacher head0.691
Teacher spread0.029 · 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; both teacher heads agree on what is shown here.

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

Citations19
Published2016
Admission routes2
Has abstractyes

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