Iterative codesign and testing of a novel dressing glove for epidermolysis bullosa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Recessive dystrophic epidermolysis bullosa (RDEB) is a rare genetic skin disorder which requires intensive hand therapy to delay fusion of the digits. Existing dressings do not conform to the complex structure of the hand and are applied in patches held with additional bandages, leading to an occlusive environment. The aim was to co-design with patients a dressing glove based on their user experiences and needs. METHOD: Qualitative interviews and focus groups with children and adults with RDEB, and their carers, were conducted. Iterative feedback of design cues, bench and surrogate testing of materials and prototype refinement were achieved through collaborative codesign with patients, carers, clinicians and manufacturers. RESULTS: Thematic analysis generated eight user needs and corresponding design cues, addressing issues of absorbency, adherence, comfort, adaptability, ease of application and removal, breathability, protection, and hand hygiene. A prototype was selected for proof of concept testing. CONCLUSION: This novel dressing glove design met the patient's requirements for a dressing, which conformed to the hand structure and sat in the web spaces to keep fingers separated. Proof of concept testing has since been undertaken with patients to determine performance, value for money and whether further developments are required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it