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Record W2607410641 · doi:10.1177/2057158517692754

Changes in evidence-based practice beliefs and implementation after a postgraduate educational program: A before-and-after study over one year

2017· article· en· W2607410641 on OpenAlexaff
Anne Kristin Snibsøer, Birgitte Espehaug, Donna Ciliska, Monica W. Nortvedt

Bibliographic record

VenueNordic journal of nursing research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNorwegianEvidence-based practiceScale (ratio)Test (biology)Health carePsychologyHealth professionalsMedical educationMedicineAlternative medicine

Abstract

fetched live from OpenAlex

Healthcare professionals are increasingly expected to use research evidence to improve healthcare outcomes. The aim of this study was to examine change in beliefs and implementation of evidence-based practice (EBP) one year after participation in a 15 ECTS postgraduate educational program in EBP. We conducted a before-and-after study among 158 healthcare professionals in a postgraduate program in EBP. Participants completed the Norwegian version of the EBP Beliefs Scale and the EBP Implementation Scale at baseline and one year after the program. Results indicated increased scores from pre-test to one year follow up on the EBP Beliefs Scale and the EBP Implementation Scale. Participants in evidence-based network groups reported higher scores on the EBP Implementation Scale than those who did not participate in these groups. Further research should examine other factors that may facilitate implementation of evidence-based practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.344
GPT teacher head0.652
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2017
Admission routes1
Has abstractyes

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