Test of a Process Evaluation Checklist to Improve Neonatal Pain Practices
Bibliographic record
Abstract
The Evidence-Based Practice Identification and Change (EPIC) strategy is a multifaceted knowledge translation intervention. Although the intervention promoted evidence-based practice, the process of delivering the intervention components is not well understood. The purpose of this study was to determine the construct validity of the Process Evaluation Checklist developed for monitoring the fidelity of implementing the intervention to improve neonatal pain practices (i.e., documentation of ordering and administration of sucrose). A case study design was used. A research practice council in a single Neonatal Intensive Care Unit implemented the intervention. The Process Evaluation Checklist was used to record adherence in carrying out the intervention components. A significant improvement in the documentation of sucrose orders (p = .002) and administration (p = .004) provided evidence of the construct validity of this intervention fidelity measure. Using this measure in different contexts over longer periods of time will further validate the Process Evaluation Checklist.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.055 | 0.167 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".