Adverse skin reactions among healthcare workers during the coronavirus disease 2019 outbreak: a survey in Wuhan and its surrounding regions
Why this work is in the frame
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Bibliographic record
Abstract
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.
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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 | 0.000 | 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 | 0.000 |
| 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 it