Development of an evidence-based clinical practice guideline for prone positioning in acute respiratory distress syndrome for the pediatric patient
Bibliographic record
Abstract
Research utilization is the critical link in the integration of research and clinical practice. Improvements in care delivery and patient outcomes are among the primary reasons for conducting nursing research, but this scientific knowledge must be translated into practice to be of value (Titler, 1994). Prone positioning for acute respiratory distress syndrome (ARDS) as been described in the literature since 1974 (Froese & Byran), as a low cost, low risk, non-invasive management strategy, yet the implementation of this modality has been slow to enter the care plans in the management of ARDS. This practicum project ''Development of an Evidence Based Clinical Practice Guideline for Prone Positioning in Acute Respiratory Distress Syndrome for the Pediatric Patient'' will examine and critique the research to date and formulate these findings into a practice based document. The clinical practice guideline (CPG) will be examined as to its' fit within the organization and culture of the Pediatric Intensive Care Unit (PICU) at Children's Hospital. Research utilization must be incorporated into the climate of the organization to achieve a successful implementation. Knowledge obtained from research is not 'patient ready'; it must be transformed into clinical innovations specific to the patient population, clinical situation and institutional setting (Leske, Whiteman, Friechels & Pearcy, 1994).
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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 | 0.043 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".