MétaCan
Menu
Back to cohort
Record W1977710941 · doi:10.1080/15402002.2013.838766

Barriers and Facilitators of Evidence-Based Practice in Pediatric Behavioral Sleep Care: Qualitative Analysis of the Perspectives of Health Professionals

2013· article· en· W1977710941 on OpenAlexafffundabout
Katelynn E. Boerner, Janie Coulombe, Penny Corkum

Bibliographic record

VenueBehavioral Sleep Medicine · 2013
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsDalhousie UniversityIzaak Walton Killam Health Centre
FundersCanadian Institutes of Health Research
KeywordsFacilitatorPsychological interventionEvidence-based practicePsychologyQualitative researchSleep (system call)Health professionalsNursingHealth careMedicineMedical educationAlternative medicineSocial psychology

Abstract

fetched live from OpenAlex

Behavioral sleep problems are highly prevalent among young and school-aged children. Despite strong evidence for effective interventions, few children receive evidence-based care. In this study, 124 Canadian health professionals answered open-ended questions regarding barriers and facilitators of their provision of evidence-based behavioral sleep-related care, and responses were analyzed for content. Responses represented issues at an individual practice level, as well as broader systemic issues. The most frequently reported barrier and facilitator related to knowledge, training, and education. Other barriers included lack of time and institutional support, and facilitators included supportive sleep attitudes and beliefs. This study may inform the design of education programs for health professionals, and provides support for broader systems-level initiatives targeted at increasing 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)0.022
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.169
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.038
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.454
Teacher spread0.392 · 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 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

Citations48
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueBehavioral Sleep MedicineSame topicSleep and related disordersFrench-language works237,207