Impact of prolonged PPE use on Canadian health professionals
Bibliographic record
Abstract
AIM: To explore the impact that prolonged use of personal protective equipment (PPE) has on the skin integrity of Canadian health professionals. METHOD: A descriptive, pan-Canadian, cross-sectional, online survey was carried out to explore the type and prevalence of PPE-related skin injury among Canadian health professionals. Convenience sampling was used to disseminate the online survey link to health professionals. RESULTS: There were responses from 757 health professionals. Masks worn included surgical masks (90%), a combination of surgical or N95/KN95 masks (7.7%) and an N95/KN95 mask alone (2.7%). Responses showed 84.6% of providers always wear a mask while at work with 38.5% wearing the same mask all shift; 90% of participants wore protective eye wear. Complications included soreness or pressure injuries behind the ears (70%), new or worsening acne (52%), a runny nose or sneezing (45%), itching (39%), and dry skin (37%). Hand issues included dry skin (53%), red skin (30%), itching (26%), broken skin (20%), rash (16%), and dermatitis (11%) - 51% of respondents did not moisturise their hands. Complications related to gown use included itching (6%), moisture-associated skin damage (5.5%), feeling claustrophobic (4.5%), and new or worsening acne (3%). Increased perspiration due to PPE was experienced in 87.5% of respondents. Some 43% of respondents noted their mental health became worse due to wearing PPE for prolonged periods. CONCLUSION: These findings should be used in the development of guidelines to prevent and manage PPE-related skin injuries among health professionals. Education for professionals should focus on skin protection, prevention of PPE-related skin complications and support for mental health issues.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".