What is the quality of reporting on guideline, protocol or algorithm implementation in adult trauma centres? Protocol for a systematic review
Bibliographic record
Abstract
INTRODUCTION: Quality improvement (QI) is mandatory in trauma centres but there is no prescription for doing successful QI. Considerable variation in implementation strategies and inconsistent use of evidence-based protocols therefore exist across centres. The quality of reporting on these strategies may limit the transferability of successful initiatives across centres. This systematic review will assess the quality of reporting on guideline, protocol or algorithm implementation within a trauma centre in terms of the Revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0). METHODS AND ANALYSIS: We will search for English language articles published after 2010 in EMBASE, MEDLINE, CINAHL electronic databases and the Cochrane Central Register of Controlled Trials. The database search will be supplemented by searching trial registries and grey literature online. Included studies will evaluate the effectiveness of guideline implementation in terms of change in clinical practice or improvement in patient outcomes. The primary outcome will be a global score reporting the proportion of studies respecting at least 80% of the SQUIRE 2.0 criteria and will be obtained based on the 18-items identified in the SQUIRE 2.0 guidelines. Secondary outcome will be the risk of bias assessed with the Risk Of Bias In Non-randomised Studies- of Interventions tool for observational cohort studies and with the Cochrane Collaboration tool for randomised controlled trials. Meta-analyses will be conducted in randomised controlled trials to estimate the effectiveness of guideline implementation if studies are not heterogeneous. If meta-analyses are conducted, we will combine studies according to the risk of bias (low, moderate or high/unclear) in subgroup analyses. All study titles, abstracts and full-text screening will be completed independently and in duplicate by the review team members. Data extraction and risk of bias assessment will also be done independently and in duplicate. ETHICS AND DISSEMINATION: Results will be disseminated through scientific publication and conferences. PROSPERO REGISTRATION NUMBER: CRD42018084273.
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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 | 0.203 | 0.412 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.032 | 0.031 |
| Bibliometrics | 0.022 | 0.023 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".