Community leg ulcer bandaging study: lessons learned in a pilot, randomized controlled trial .
Bibliographic record
Abstract
Compression is the cornerstone of venous leg ulcer (VLU) care but comparative effectiveness evidence is limited, especially regarding home care. In preparation for a large, community-based randomized controlled clinical trial (RCT), the "Canadian Bandaging Trial" (CBT), a pilot study was conducted to assess the practicality of the CBT study protocol. Nurses who provided home care also performed the research intervention and outcome measurements. All trial procedures were implemented to examine the following aspects of the study protocol: 1) eligibility screening, recruitment, enrollment, and randomization procedures; 2) integration of intervention protocol with usual clinical routines; 3) data collection and management and outcome measures; and 4) database creation and testing. Guided by a Pilot Research Process Framework (PReP), this 6-month pilot RCT was conducted at two community-based sites in Ontario, Canada. Participants included 12 persons with VLUs, 40 nurses providing leg ulcer care, and two site investigators. Individuals with a VLU were randomized to a four-layer or short-stretch compression bandage. Eligibility screening and randomization procedures were found to be efficient but the ratio of screened (49) versus enrolled (12) patients was low and suggested the need for nine additional clinical sites, a change in ulcer size eligibility, and research to evaluate how to incorporate persons with diabetes in leg ulcer trials. Screening practices, data collection form concerns, and wound photo assessment outcomes issues were addressed. The results of this study improved and streamlined the large RCT quality and processes and confirm the value of pilot studies. Research to test the usefulness of the PReP framework for other pilot studies is needed.
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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 | 0.148 | 0.148 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".