Does Wearing a Face Mask During the COVID-19 Pandemic Increase the Incidence of Dermatological Conditions in Health Care Workers? Narrative Literature Review
Bibliographic record
Abstract
BACKGROUND: COVID-19 is a health emergency. SARS-CoV-2 was discovered in Wuhan (Hubei Province, China) and has rapidly spread worldwide, leaving no country untouched. COVID-19 is a respiratory infection characterized by a pneumonia of unknown etiology. It is transmitted through respiratory droplets; for example: through breathing, talking, and coughing. Transmission of the virus is high. Health care workers play important roles in helping those affected by COVID-19; this could not be done without the use of personal protective equipment (PPE). PPE involves the use of goggles, masks, gloves, and gowns and is known to reduce COVID-19 transmission; however, multiple reports of skin disease and damage associated with occupational mask-wearing have emerged. OBJECTIVE: The objective of this study is to review the literature for newly emerging dermatological conditions as a result of occupational mask-wearing during the COVID-19 pandemic. METHODS: A narrative review of new reports of dermatological conditions associated with occupational mask-wearing was carried out in May 2020 by referencing keywords including: "covid mask dermatology," "covid dermatological damage," "covid mask skin," "covid N95 mask damage," and "covid mask skin damage" from PubMed, supplemented by searches on both Google Scholar and ResearchGate. A total of 287 articles were found, of which 40 were successfully included in this study, and an additional 7 were selected from the reference lists of these 40 articles. The findings were tabulated and analyzed under the following headings: dermatological diagnosis, causes, and management. RESULTS: Qualitative analysis of the reviewed data was carried out. A number of dermatological conditions were found to increasingly occur owing to prolonged and frequent use of face masks. Pressure-related injuries were often the most serious complaint; recommendations to reduce this type of injury include the use of hydrocolloid dressings, plastic handles, education, and regular moisturization. Innovation in PPE as well as services, such as virtual clinics, need to be advanced to protect the welfare of health care staff. CONCLUSIONS: In these unprecedented times, PPE has been an effective barrier to the transmission of COVID-19 among health care workers. This has allowed health care workers to provide care to patients, with minimal risk. However, our findings suggest that despite the obvious benefits of using face masks to protect the respiratory system, there are also considerable health consequences to the skin. Future research studies are required to focus on improving face masks to ensure both the protection of the respiratory system as well as skin care, which, according to our study, has been overlooked.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".