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Record W2529187990 · doi:10.1111/jep.12653

Beliefs and implementation of evidence‐based practice among nurses and allied healthcare providers in the Valais hospital, Switzerland

2016· article· en· W2529187990 on OpenAlexaff
Henk Verloo, Mario Desmedt, Diane Morin

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsContext (archaeology)Health careEvidence-based practiceMedicineNursingFamily medicineDescriptive statisticsPopulationAcute carePsychologyAlternative medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Rationale Evidence‐based practice (EBP) is upheld as a means for patients to receive the most efficient care in a given context. Despite the available evidence and positive beliefs about it, implementing EBP as standard daily practice still faces many obstacles. Aims and objectives This study investigated the beliefs about and implementation of EBP among nurses and allied healthcare providers (AHP) in 9 acute care hospitals in the canton of Valais, Switzerland. Materials and Methods A cross‐sectional descriptive survey was conducted. The target population was composed of 1899 nurses and 126 AHPs. Beliefs about and implementation of EBP were measured using EBP‐Beliefs and EBP‐Implementation scales of Melnyk et al. Results The initial sample consisted in 491 participants (overall response rate 24.2%): 421 nurses (22.4% response rate) and 78 AHPs (61.9% response rate). The final sample, composed only of those who declared previous exposure to EBP, included 391 participants (329 nurses and 62 AHPs). Overall, participants had positive attitudes towards EBP and were willing to increase their knowledge to guide practice. However, they acknowledged poor implementation of EBP in daily practice. A significantly higher level of EBP implementation was declared by those formally trained in it ( P = 0.006) and by those occupying more senior professional functions ( P = 0.004). EBP‐Belief scores predicted 13% of the variance in the EBP‐Implementation scores ( R 2 = 0.13). Discussion EBP is poorly implemented despite positive beliefs about it. Continuing education and support on EBP would help to ensure that patients receive the best available care based on high‐quality evidence, patient needs, clinical expertise, and a fair distribution of healthcare resources. Conclusion This study's results will be used to guide institutional strategy to increase the use of EBP in daily 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 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)0.076
metaresearch head score (Gemma)0.164
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0760.164
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.453
GPT teacher head0.680
Teacher spread0.227 · 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

Citations44
Published2016
Admission routes1
Has abstractyes

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