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. 2020 Mar 18;82(5):1215–1216. doi: 10.1016/j.jaad.2020.03.014

Skin damage among health care workers managing coronavirus disease-2019

Jiajia Lan a,b, Zexing Song a,c, Xiaoping Miao d, Hang Li e, Yan Li a,b, Liyun Dong a,b, Jing Yang a,b, Xiangjie An a,b, Yamin Zhang a,b, Liu Yang a,b, Nuoya Zhou a,b, Liu Yang a,f, Jun Li g, JingJiang Cao h, Jianxiu Wang i, Juan Tao a,b,
PMCID: PMC7194538  PMID: 32171808

To the Editor: Since the outbreak of coronavirus disease-2019 (COVID-19) in December 2019, more than 200,000 health care workers from all over China have been participating in the fight against this highly contagious disease in Hubei province, which is the center of infection in China. Skin damage caused by enhanced infection-prevention measures among health care workers, which could reduce their enthusiasm for overloaded work and make them anxious, has been reported frequently.

Previous studies have revealed that hand eczema is quite common in health care workers,1 , 2 and the risk factors include frequent hand hygiene and wearing gloves for a long time.3 , 4 Considering the frequent hand hygiene and long-time wearing of tertiary protective devices (N95 mask, goggles, face shield, and double layers of gloves) among health care workers during the epidemic period of COVID-19, we aimed to estimate the prevalence, clinical features, and risk factors of this skin damage among them.

From January to February 2020, self-administered online questionnaires were distributed to 700 individuals, consisting of physicians and nurses who worked in the designated departments of tertiary hospitals in Hubei, China. The questionnaire included questions about the condition of skin damage and the frequency or duration of several infection-prevention measures (Supplemental Material 1, available via Mendeley at https://data.mendeley.com/datasets/zknvry83v5/2). Finally, 542 individuals (Supplemental Material 2) completed the study (response rate, 77.4%), with 71.4% (387 of 542) working in isolation wards and 28.6% (155 of 542) working in fever clinics.

The general prevalence rate of skin damage caused by enhanced infection-prevention measures was 97.0% (526 of 542) among first-line health care workers. The affected sites included the nasal bridge, hands, cheek, and forehead, with the nasal bridge the most commonly affected (83.1%). Among a series of symptoms and signs, dryness/tightness and desquamation were the most common symptom (70.3%) and sign (62.2%), respectively (Table I ). The health care workers who wore some medical devices more than 6 hours had higher risks of skin damage in corresponding sites than those who did for less time (N95 masks: odds ratio [OR], 2.02; 95% confidence interval [CI], 1.35-3.01; P < .01); goggles: OR, 2.32; 95% CI, 1.41-3.83, P < .01), whereas a longer time of wearing a face shield was not a significant risk factor in causing forehead skin damage (OR, 1.52; 95% CI, 0.93-2.50; P = .66). The more frequent (>10 times daily) hand hygiene could increase the risk of hand skin damage (OR, 2.17; 95% CI, 1.38-3.43; P < .01), rather than a longer time of wearing gloves (Table II ).

Table I.

Clinical features of skin damage among first-line health care workers

Clinical features Participants with skin damage (N = 526), No. (%)
Symptoms
 Dryness/tightness 370 (70.3)
 Tenderness 299 (56.8)
 Itching 276 (52.5)
 Burning/pain 200 (38.0)
Skin lesions
 Desquamation 327 (62.2)
 Erythema 260 (49.4)
 Maceration 210 (39.9)
 Fissure 204 (38.8)
 Papule 173 (32.9)
 Erosion and ulcer 53 (10.1)
 Vesicle 7 (1.3)
 Wheal 2 (0.4)
Site
 Nasal bridge 437 (83.1)
 Cheek 414 (78.7)
 Hands 392 (74.5)
 Forehead 301 (57.2)

With overlaps.

Table II.

The association between skin damage and related exposure factors

Infection-preventive measures Participants, No. Variables Participants (N = 526), No. (%) Participants with skin damage in related sites, No. (%) OR 95% CI P
N95 mask 542 ≤6 h/d 225 (41.5) Cheek: 155 (68.9) 1 [Ref]
>6 h/d 317 (58.5) Cheek: 259 (81.7) 2.02 1.35-3.01 <.01
Goggles 451 ≤6 h/d 186 (41.2) Nasal bridge: 141 (75.8) 1 [Ref]
>6 h/d 265 (58.8) Nasal bridge: 233 (87.9) 2.32 1.41-3.83 <.01
Face shield 265 ≤6 h/d 108 (40.8) Forehead: 52 (48.1) 1 [Ref]
>6 h/d 157 (59.2) Forehead: 92 (58.6) 1.52 0.93-2.50 .66
Gloves 113 ≤6 h/d 52 (46.0) Hands: 29 (55.8) 1 [Ref]
>6 h/d 61 (54.0) Hands: 39 (63.9) 1.41 0.66-3.00 .44
321 ≤6 h/d 131 (40.8) Hands: 100 (76.3) 1 [Ref]
>6 h/d 190 (59.2) Hands: 146 (76.8) 1.03 0.61-1.74 >.99
Hand hygiene 434 ≤10 times/d 113 (26.0) Hands: 68 (60.2) 1 [Ref]
>10 times/d 321 (74.0) Hands: 246 (76.6) 2.17 1.38-3.43 <.01

CI, Confidence interval; OR, odds ratio; Ref, reference.

These participants are limited to those who wore double layers of gloves and washed hands 1-10 times/d.

These participants are limited to those who wore double layers of gloves and washed hands >10 times/d.

Our study has some limitations. Firstly, we only studied 1 site with a single exposure factor, but some sites could be related to more than 1 factor. The nasal bridge, for example, could be compressed by the N95 mask and goggles simultaneously, although goggles were the main factor. Secondly, possible risk factors such as participants wearing the N95 mask after work in daily life were not included.

In conclusion, our study demonstrated that the prevalence of skin damage of first-line health care workers was very high. Moreover, we found that longer exposure time was a significant risk factor, which highlights that the working time of first-line staff should be arranged reasonably. Besides, prophylactic dressings could be considered to alleviate the device-related pressure injuries, according to a prior study.5

Acknowledgments

We would like to thank Xiaoxu Yin from Tongji Medical College School of Public Health for his suggestions about this paper and the health care workers who participated in our study for their support of this paper. We especially want to express our deep respect to all first-line health care workers for their dedication in the fight against COVID-19.

Footnotes

Dr Lan and Zexing Song contributed equally to this work.

Funding sources: This work was supported by HUST COVID-19 Rapid Response Call Program (2020kfyXGYJ056) and Hubei Provincial Emergency Science and Technology Program for COVID-19 (2020FCA037).

Conflicts of interest: None disclosed.

IRB approval status: Not applicable.

Accepted for publication March 9, 2020.

Reprints not available from the authors.

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