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Record W2797768951 · doi:10.7939/r34w7q

Clinical Nurse Specialists’ Role in Promoting Evidence Based Practice in Saskatchewan’s Health Care Settings

2012· article· en· W2797768951 on OpenAlexaboutno aff
T. Campbell

Bibliographic record

VenueUniversity of Alberta Library · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsNursingHealth careMedicinePolitical science

Abstract

fetched live from OpenAlex

Background: Nursing is a practice discipline and patients expect nurses will use the best evidence available to improve outcomes. A major challenge to the implementation of best practice is the complexity of organizational and social environments in which nurses’ work. One method to keep nurses informed of best practice is to employ change agents; nurses with clinical expertise and familiarity with research who can transfer the evidence to those in clinical settings. It has been suggested that the clinical nurse specialist (CNS), as an educator, consultant, clinical expert, researcher, and leader is well situated to promote evidence-based practice in the workplace. Purpose: The purpose of this explanatory mixed methods study is to gain a deeper understanding of the CNS role, as it pertains to promoting evidence-based practice. The research question guiding this research is: What is the role of the CNS in promoting evidence-based practice in acute care and community settings in Saskatchewan? Methods: This study used Creswell and Plano Clark’s sequential explanatory mixed methods design that focused on an initial collection and analysis of quantitative data followed by a collection and analysis of qualitative data. The survey data was analyzed using SPSS 18. The transcribed interviews were reviewed for recurrent themes regarding the CNSs’ role in promoting evidence-based practice. The PARiHS framework provided the broad structure to identify themes. Interpretive description was used to analyze the themes. Findings: To carry out their role as facilitators of EBP, CNSs rely on their: master’s preparation, clinical expertise, and people/communication skills. In order to streamline processes to increase efficiencies, share their expert knowledge with staff and patients, and provide leadership, CNSs need to work in supportive contexts and have access to high quality evidence. The primary source of written evidence used by CNSs was the internet at work and the primary source of “people” evidence was the CNS’s personal experience. Lack of role clarity and leadership were barriers to carrying out their roles in an effective manner. Conclusion: CNSs can improve patient outcomes by using best evidence in the provision of care, but to do so, they need to work in supportive contexts.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.423
Teacher spread0.364 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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