Dressing‐related pain in patients with chronic wounds: an international patient perspective
Bibliographic record
Abstract
This cross-sectional international survey assessed patients' perceptions of their wound pain. A total of 2018 patients (57% female) from 15 different countries with a mean age of 68.6 years (SD = 15.4) participated. The wounds were categorised into ten different types with a mean wound duration of 19.6 months (SD = 51.8). For 2018 patients, 3361 dressings/compression systems were being used, with antimicrobials being reported most frequently (n= 605). Frequency of wound-related pain was reported as 32.2%, 'never' or 'rarely', 31.1%, 'quite often' and 36.6%, 'most' or 'all of the time', with venous and arterial ulcers associated with more frequent pain (P= 0.002). All patients reported that 'the wound itself' was the most painful location (n= 1840). When asked if they experienced dressing-related pain, 286 (14.7%) replied 'most of the time' and 334 (17.2%) reported pain 'all of the time'; venous, mixed and arterial ulcers were associated with more frequent pain at dressing change (P < 0.001). Eight hundred and twelve (40.2%) patients reported that it took <1 hour for the pain to subside after a dressing change, for 449 (22.2%) it took 1-2 hours, for 192 (9.5%) it took 3-5 hours and for 154 (7.6%) patients it took more than 5 hours. Pain intensity was measured using a visual analogue scale (VAS) (0-100) giving a mean score of 44.5 (SD = 30.5, n= 1981). Of the 1141 who reported that they generally took pain relief, 21% indicated that they did not feel it was effective. Patients were asked to rate six symptoms associated with living with a chronic wound; 'pain' was given the highest mean score of 3.1 (n= 1898). In terms of different types of daily activities, 'overdoing things' was associated with the highest mean score (mean = 2.6, n= 1916). During the stages of the dressing change procedure; 'touching/handling the wound' was given the highest mean score of 2.9, followed by cleansing and dressing removal (n= 1944). One thousand four hundred and eighty-five (80.15%) patients responded that they liked to be actively involved in their dressing changes, 1141 (58.15%) responded that they were concerned about the long-term side-effects of medication, 790 (40.3%) of patient indicated that the pain at dressing change was the worst part of living with a wound. This study adds substantially to our knowledge of how patients experience wound pain and gives us the opportunity to explore cultural differences in more detail.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".