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Record W3152609024 · doi:10.2196/22789

Does Wearing a Face Mask During the COVID-19 Pandemic Increase the Incidence of Dermatological Conditions in Health Care Workers? Narrative Literature Review

2021· article· en· W3152609024 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIR Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicinePersonal protective equipmentPandemicDermatologyTransmission (telecommunications)Face masksSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PneumoniaIncidence (geometry)Health careDermatological diseasesDiseasePathologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.351
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it