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Record W2152249363 · doi:10.12927/cjnl.2015.24236

The Development of Evidence Briefs to Transfer Knowledge about Advanced Practice Nursing Roles to Providers, Policymakers and Administrators

2015· article· en· W2152249363 on OpenAlexaffvenueabout
Kelley Kilpatrick, Nancy Carter, Denise Bryant‐Lukosius, Renée Charbonneau-Smith, Alba DiCenso

Bibliographic record

VenueNursing leadership · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcMaster UniversityMcMaster University Medical CentreCanadian Institute for Advanced ResearchHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsStakeholderDisseminationInformation DisseminationSocial mediaKnowledge transferProcess (computing)Health careNursingMedical educationPublic relationsPsychologyMedicineBusinessKnowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The transfer of health-related research knowledge between producers and users is a complex, dynamic and iterative process. There has been little research describing the preferred knowledge transfer strategies used by different stakeholder groups, including healthcare providers, policymakers and administrators. The purpose of the survey was to gain an understanding of the content and preferred dissemination strategies of knowledge users of briefing notes about the effectiveness of advanced practice nursing (APN) roles in Canada. An on-line cross-sectional survey was conducted from December 2011 to January 2012. Purposeful sampling was used to identify the target audience. The questionnaire included six items. The response rate was 44% (n=75/170). Participants identified that the briefing note should concisely summarize definitions for APN roles and information about the safety, effectiveness, cost savings and effective role implementation strategies. Multiple approaches were favoured to disseminate the information. Preferred dissemination strategies included personalized emails, meeting with briefing note recipients, engaging nurse practitioners and clinical nurse specialists in organizations where APN roles have been successfully implemented, engaging the media and using social media. The use of briefing notes has shown promise. More research is needed to evaluate the effectiveness of tailored briefing notes.

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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.720
GPT teacher head0.575
Teacher spread0.145 · 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

Citations10
Published2015
Admission routes3
Has abstractyes

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