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Record W2170743766 · doi:10.1186/s13012-014-0120-1

Implementation of multidimensional knowledge translation strategies to improve procedural pain in hospitalized children

2014· article· en· W2170743766 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueImplementation Science · 2014
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of TorontoUniversity of OttawaHospital for Sick ChildrenSickKids Foundation
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsMedicineKnowledge translationHealth administrationHealth informaticsHealth services researchPain medicinePublic healthTranslation (biology)NursingKnowledge managementAnesthesiologyPsychiatry

Abstract

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BACKGROUND: Despite extensive research, institutional policies, and practice guidelines, procedural pain remains undertreated in hospitalized children. Knowledge translation (KT) strategies have been employed to bridge the research to practice gap with varying success. The most effective single or combination of KT strategies has not been found. A multifaceted KT intervention, Evidence-based Practice for Improving Quality (EPIQ), that included tailored KT strategies was effective in improving pain practices and clinical outcomes at the unit level in a prospective comparative cohort study in 32 hospital units (16 EPIQ intervention and 16 Standard Care), in eight pediatric hospitals in Canada. In a study of the 16 EPIQ units (two at each hospital) only, the objectives were to: determine the effectiveness of evidence-based KT strategies implemented to achieve unit aims; describe the KT strategies implemented and their influence on pain assessment and management across unit types; and identify facilitators and barriers to their implementation. METHODS: Data were collected from each EPIQ intervention unit on targeted pain practices and KT strategies implemented, through chart review and a process evaluation checklist, following four intervention cycles over a 15-month period. RESULTS: Following the completion of the four cycle intervention, 78% of 23 targeted pain practice aims across units were achieved within 80% of the stated aims. A statistically significant improvement was found in the proportion of children receiving pain assessment and management, regardless of pre-determined aims (p < 0.001). The median number of KT strategies implemented was 35 and included reminders, educational outreach and materials, and audit and feedback. Units successful in achieving their aims implemented more KT strategies than units that did not. No specific type of single or combination of KT strategies was more effective in improving pain assessment and management outcomes. Tailoring KT strategies to unit context, support from unit leadership, staff engagement, and dedicated time and resources were identified as facilitating effective implementation of the strategies. CONCLUSIONS: Further research is required to better understand implementation outcomes, such as feasibility and fidelity, how context influences the effectiveness of multifaceted KT strategies, and the sustainability of improved pain practices and outcomes over time.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.406
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.414
Teacher spread0.383 · 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