Journal of Peking University (Health Sciences) ›› 2020, Vol. 52 ›› Issue (4): 711-714. doi: 10.19723/j.issn.1671-167X.2020.04.022

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Investigation of protective exposure risk events in nurses against corona virus disease 2019 in Wuhan

Qiu WANG1,Jin-yu GUO1,Hong SUN1,Ling WANG2,(),Ju-su YING2,Hui-xin LIU3   

  1. 1. Department of Emergency, Peking University People’s Hospital, Beijing 100034, China
    2. Department of Nursing, Peking University People’s Hospital, Beijing 100034, China
    3. Office of Academic Research, Peking University People’s Hospital, Beijing 100034, China
  • Received:2020-04-07 Online:2020-08-18 Published:2020-08-06
  • Contact: Ling WANG E-mail:wanglingyaoyao@sina.com

Abstract:

Objective: To investigate the current situation of virus exposure risk incidents of nurses against corona virus disease 2019 (COVID-19) in Wuhan, and to provide reference evidence for nursing managers to protect nursing staff who were working in the isolation ward. Methods: In the study, 308 nursing staff against COVID-19 working in the isolation ward in Wuhan were conveniently selected to participate in the investigation. The designed questionnaires including 7 kinds of protective exposure risk events were made by the team of researchers on the basis of literature review and interview with the nurses in Wuhan. All the participants recalled their working experience in the status of dressing in personal protective equipment and filled in the questionnaires online by WeChat according to the same instruction. Results: The questionnaires were filled in validly by a total of 304 nursing staff, of whom 88.8% received emergency training on the prevention and dealing measurement of exposure risk events. The incidence of shoe cover contamination, falling off or torn was relatively high, about 53.6%. Due to the protection of gloves, the incidence of hand or skin contamination was relatively low, about 14.1%. The most nervousness of protective exposure risk event for nurses was N95 mask contamination, falling off or shifting, with a score of 8.2±2.3, showing a higher psychiatric burden. Single factor analysis found that the number of days in Wuhan was different, the number of the types of protective risk events occurred was different (χ2=14.562, P=0.024), orderly multivariate Logistic regression found that men were the independent protective factor for the number of the types of protective exposure risk events that occurred (P=0.019). Conclusion: Protective exposure risk events may occur in the work of nursing staff working in the isolation ward in Wuhan. It is necessary to guide nurses to prevent the occurrence of protective exposure risk events and effectively deal with them, so as to prevent virus exposure and reduce psycholo-gical burden.

Key words: Coronavirus infections, Pneumonia, Viral, Nurses, Personal protective equipment, COVID-19

CLC Number: 

  • R563.1

Table 1

Occurrence of exposure risk event (n=304) n (%)"

Items 0 time 1 time 2 times 3 times ≥4 times
Contamination of hand and skin 261 (85.9) 17 (5.6) 9 (3.0) 5 (1.6) 12 (3.9)
Contamination, falling off, or torn of shoe cover 144 (47.4) 62 (20.4) 60 (19.7) 15 (4.9) 23 (7.6)
Contamination, falling off or torn of isolation gown 215 (70.7) 33 (10.9) 25 (8.2) 14 (4.6) 17 (5.6)
Falling off or shifting of N95 mask 241 (79.3) 29 (9.5) 24 (7.9) 6 (2.0) 4 (1.3)
Falling off or shifting of surgical mask 266 (87.5) 19 (6.3) 10 (3.3) 8 (2.6) 1 (0.3)
Contamination, falling off or shifting of goggles 290 (95.4) 4 (1.3) 7 (2.3) 3 (1.0) 0
Contamination, falling off or shifting of splash screen 222 (73.0) 51 (16.8) 19 (6.3) 7 (2.3) 5 (1.6)

Table 2

The nervousness of the occurrence of exposure risk event"

Items Higher nervoursness
(score of nervousness≥6), n (%)
The degree of nervousness, x?±s
Contamination of hand and skin (n=42) 23 (54.8) 5.8±3.0
Contamination, falling off, or torn of shoe cover (n=160) 71 (45.5) 5.0±2.5
Contamination, falling off or torn of isolation gown (n=84) 55 (65.5) 6.1±2.6
Falling off or shifting of N95 mask (n=62) 55 (88.7) 8.2±2.3
Falling off or shifting of surgical mask (n=38) 29 (78.4) 6.4±2.4
Contamination, falling off or shifting of goggles (n=13) 9 (69.2) 6.6±2.4
Contamination, falling off or shifting of splash screen (n=81) 49 (60.5) 6.1±2.8

Table 3

The relationship between days in Wuhan and the number of types of protective exposure risk events n/(%)"

Days in Wuhan ≤1 kind 2-4 kinds ≥5 kinds
10-20 d 11 (61.1) 6 (33.3) 1 (5.6)
21-30 d 110 (52.4) 94 (44.8) 6 (2.9)
31-40 d 32 (53.3) 27 (45.0) 1 (1.7)
≥41 d 10 (62.5) 3(18.8) 3 (18.8)

Table 4

Orderly multivariate Logistic regression of the number of the different types of the occurrence of exposure risk event"

Items n (%) B SE Wald P OR 95%CI
Age -0.009 0.094 0.008 0.927 1.022 1.201-0.871
Working years 0.041 0.083 0.244 0.621 0.937 1.079-0.813
Gender
Male 41 (16.0) 1.053 0.450 5.480 0.019 0.349 0.843-0.144
Female 216 (84.0)
Days in Wuhan
10-20 d 18 (5.9) -1.050 0.904 1.348 0.246 2.858 16.827-0.485
21-30 d 210 (69.1) -0.890 0.722 1.517 0.218 2.435 10.024-0.591
31-40 d 60 (19.7) -0.849 0.762 1.241 0.265 2.337 10.412-0.525
≥41 d 16 (5.3)
Shifts of one week
≤5 204 (79.4) -0.440 0.390 1.272 0.259 1.552 3.333-0.723
≥6 53 (20.6)
Working hours for one shift
≤4 h 140 (54.5) 1.513 1.121 1.822 0.177 0.220 1.982-0.025
5-8 h 113 (44.0) 1.266 1.102 1.319 0.251 0.282 2.445-0.033
≥9 h 4 (1.6)
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