Defining wound bed conformability: a new testing methodology to assess the relative swelling rise of foam dressings
Bibliographic record
Abstract
OBJECTIVE: Using a dressing that expands and conforms to the wound bed upon exudate absorption is one of the best ways to promote wound healing. While many products claim wound bed conformability, no externally replicated or verified test methodology had been developed to quantify a wound dressing's ability to conform to the wound bed. The Relative Swelling Rise (RSR) test methodology was developed to measure the relative swelling rise of foam dressings upon fluid absorption, and offers a quantifiable and easily replicated method to measure wound bed conformability. METHOD: The RSR test method was developed, validated and reliability tested by Coloplast A/S, Denmark. External replication was provided by ALS Odense, Denmark (previously DB Lab). Circular fences provide a fixed diameter to apply and contain the fluid and prevent horizontal spreading in the test set-up. The swelling height is quantified relative to the fence's inner diameter, i.e., the ratio alpha (α), and allows evaluation of a material's ability to conform to the wound bed. RESULTS: Biatain Silicone foam products (n=3, Coloplast A/S, Denmark) were tested, all afforded an average α-ratio from 0.30 to 0.60. The relative standard deviations were between 1-3%, demonstrating the strength of the test. Robustness of the methodology was demonstrated through the internal validation study, the reliability study, and both an internal and external replication study, as well as a systematic literature review and expert review of the construct, content, criterion and generalisability of the method. CONCLUSION: Having a validated, effective and easily replicable testing method to quantify wound bed conformability of foam dressings is an important step towards achieving better healing outcomes.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".