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Record W3014954599 · doi:10.1111/bjd.19089

Adverse skin reactions among healthcare workers during the coronavirus disease 2019 outbreak: a survey in Wuhan and its surrounding regions

2020· article· en· W3014954599 on OpenAlexafffund
Pingping Lin, Shichao Zhu, Yu Huang, Luqing Li, Juan Tao, Tiechi Lei, Jiquan Song, Dongxian Liu, Lijin Chen, Ying Shi, Shupeng Jiang, Q. Liu, Jindong Xie, Hui Chen, Yaqi Duan, Yuting Xia, Yaya Zhou, Yadong Mei, Xiang Zhou, Jun Wu, Mu-Ping Fang, Zhongji Meng, H. Li

Bibliographic record

VenueBritish Journal of Dermatology · 2020
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsUniversity of Toronto
FundersTongji Medical College, Huazhong University of Science and TechnologyDepartment of Medicine, University of TorontoZhongnan Hospital of Wuhan UniversityHubei University of MedicineTongji UniversityWuhan UniversityUniversity of TorontoPeking UniversityHuazhong University of Science and TechnologyHubei UniversityRenmin Hospital of Wuhan UniversityPeking University First Hospital
KeywordsOutbreakDiseaseHealth careCoronavirus disease 2019 (COVID-19)CoronavirusMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Environmental healthVirologyInfectious disease (medical specialty)PathologyEconomic growth

Abstract

fetched live from OpenAlex

Dear Editor, During the outbreak of coronavirus disease 2019 (COVID‐19), healthcare workers (HCWs) caring for patients with COVID‐19 have to wear personal protective equipment (PPE) and are therefore susceptible to PPE‐related adverse skin reactions. However, little is known about the prevalence and characteristics of these adverse skin reactions and their associated risk factors. To address this, we conducted a cross‐sectional questionnaire survey during 6–11 February 2020 in Wuhan and its surrounding regions. Five university hospitals in Wuhan and five regional hospitals around Wuhan were included. The study respondents included doctors and nurses caring for patients with COVID‐19. Demographic information was recorded, in addition to data on self‐perceived adverse skin reactions, types (dryness or scales, papules or erythema, maceration, erosion or fissure) and sites of eruptions. Univariate and multivariate analyses were performed to assess associations between adverse skin reactions and the following variables: age, sex, hospital size and area, epidemic level, working place, exposure to ultraviolet irradiation, duration with full‐body PPE, getting soaking wet after work, frequency of showering, layers of gloves, frequency of handwashing, and topical hand cream application after washing. An estimated maximum of 1000 surveys were distributed and 376 HCWs responded (response rate > 37·6%). In total, 136 (36·2%) were from university hospitals in Wuhan and 240 (63·8%) were from regional hospitals around Wuhan. Eighty‐four respondents (22·3%) were men and 292 (77·7%) were women. Adverse skin reactions were reported by 280 respondents (74·5%). Of note, this rate was much higher than the rate of occupational contact dermatitis (31·5%) in HCWs under normal working conditions, and that of adverse skin reactions (21·4–35·5%) during the SARS outbreak.1,2 The most commonly reported types of eruptions were dryness or scales (68·6%), papules or erythema (60·4%) and maceration (52·9%). Hands, cheeks and nasal bridge ranked as the three most commonly affected areas, reported by 237 (84·6%), 211 (75·4%) and 201 (71·8%) respondents, respectively. In univariate analysis (Table 1), sex, epidemic level, working place, duration with full‐body PPE, getting soaking wet after work, and frequency of handwashing were significantly associated with adverse skin reactions. In multivariate analysis (Table 1), female sex [odds ratio (OR) 1·87, P = 0·038], working in hospitals with a more severe epidemic (OR 2·41, P = 0·001), working in inpatient wards (OR 2·44, P = 0·003) and a duration with full‐body PPE of > 6 h per day (OR 4·26, P < 0·001) were associated with increased adverse skin reactions. Analysis of variables associated with self‐perceived adverse skin reactions The data are presented as n or n/N (%), except for age. CI, confidence interval; OR, odds ratio; PPE, personal protective equipment. aReference group. bThe three cities with the most confirmed cases by 6 February 2020 (Wuhan, Xiaogan and Huanggang) were regarded as areas with a more severe epidemic, and the other areas were considered to have a less severe epidemic. cFever clinics are outpatient clinics screening patients with fever. dInpatient wards are where patients with confirmed or suspected COVID‐19 are admitted and treated. eVariables with P < 0·1 in univariate analysis were further included in the multivariate analysis. The hands were the most common site affected. Most HCWs washed their hands over 10 times per day, but only 22·1% applied hand creams after washing. For hand care, we suggest applying moisturizers that offer protection against irritant hand dermatitis,3 and using alcohol‐based products instead of soaps, as the former show high antimicrobial activity and low risk of skin damage.4 With regards to layers of gloves, although coronavirus was found to survive for several hours on used PPE, double gloving is sufficient to reduce the risk of viral contamination during PPE removal and is therefore recommended.5 The cheeks, nasal bridge and auricular areas are prone to adverse skin reactions due to masks or respirators. As masks cause less adverse skin reactions than respirators,2 choosing appropriate facial equipment under different conditions is recommended. HCWs working in hospitals with a more severe epidemic and those in inpatient wards reported higher prevalence of adverse skin reactions than those working in hospitals with a less severe epidemic and in fever clinics. One possible explanation was longer working hours, as prolonged use of PPE itself is a risk factor for adverse skin reactions. Adherence to appropriate PPE may be influenced by the epidemic severity, education on PPE use, working experience and workload.6 Therefore, on the administrative level, promoting education on proper PPE, and restricting the duration of wearing PPE to no more than 6 h per day would help. On a personal level, HCWs should be encouraged to follow standards of glove use, hand hygiene and hand care. If severe dermatoses or sustained aggravation of existing dermatoses occur, a prompt dermatological referral is strongly recommended. Limitations of this study include response bias, as HCWs with adverse skin reactions were more likely to respond. Moreover, adverse skin reactions perceived by respondents could not be validated by dermatologists. Finally, questions regarding existing skin conditions or other predisposing factors were not included. Nonetheless, this pioneering study provides insights into the prevalence and risk factors for strict protection‐related adverse skin reactions during the COVID‐19 outbreak. Such information may prove useful for interventions to minimize these work‐related skin problems. we would like to thank all of the first‐line medical staff who participated in this survey. Funding sources: none. Conflicts of interest: the authors declare they have no conflicts of interest.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.302
Teacher spread0.263 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations198
Published2020
Admission routes2
Has abstractyes

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