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Record W2059924928 · doi:10.1002/jclp.20376

Barriers and facilitators of evidence‐based practice perceived by behavioral science health professionals

2007· article· en· W2059924928 on OpenAlex

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 of Clinical Psychology · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversité de Sherbrooke
FundersNational Heart, Lung, and Blood Institute
KeywordsPsychologyHealth professionalsEvidence-based practiceHealth scienceMedical educationApplied psychologyClinical psychologyHealth careAlternative medicineMedicine

Abstract

fetched live from OpenAlex

Progress in implementing evidence-based behavioral practices has been slow. A qualitative study was performed to characterize the major facilitators and barriers to evidence-based practice (EBP) perceived by behavioral professionals. Members of professional e-mail listservs were queried and 84 barriers and 48 facilitators were nominated by 37 respondents. Thematic analysis revealed seven themes to describe both barriers and facilitators: (a) training, (b) attitudes, (c) consumer demand, (d) logistical considerations, (e) institutional support, (f) policy, and (g) evidence. Most frequently cited barriers included negative attitudes about EBP and lack of training. Barriers also reflected confusion between EBP and the products of EBP (i.e., empirically supported treatments [ESTs]). Main facilitators included a growing evidence base. Results suggest that uptake of EBP may be facilitated by education and training.

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)0.084
metaresearch head score (Gemma)0.061
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 score0.112
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0840.061
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.888
GPT teacher head0.834
Teacher spread0.054 · 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