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Evidence-Based Practice in Healthcare: An Exploratory Cross-Discipline Comparison of Enhancers and Barriers

2010· article· en· W2073454418 on OpenAlex
Joanna Asadoorian, Brenda Hearson, Satyendra Satyanarayana, Jane Ursel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal for Healthcare Quality · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsWinnipeg Regional Health AuthorityCentre for Addiction and Mental HealthUniversity of Manitoba
Fundersnot available
KeywordsExploratory researchHealth careQualitative researchClinical PracticePsychologyMedical educationEvidence-based practiceGrounded theoryNursingMedicineAlternative medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

In order to improve health outcomes, healthcare providers need to base practice on current evidence. The purpose of this qualitative study was to explore and compare the understanding and experiences with evidence-based practice (EBP) in three different disciplines. Researchers conducted individual interviews with psychiatrists, nurses, and dental hygienists. The majority of study participants demonstrated an understanding of EBP and were able to identify enhancers and barriers to implementing EBP. Using a grounded theory approach, several major themes acting as enhancers and barriers to EBP emerged and revealed both differences and similarities within and across the three health disciplines. While saturation was not attempted, this exploratory research is important in contributing to understanding the cultural practice milieu in relation to individual characteristics in implementing evidence into practice with the overall aim of improving healthcare delivery and outcomes.

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.

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)0.032
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.003
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 head0.422
GPT teacher head0.666
Teacher spread0.244 · 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