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10.12659/MSM.929851

http://scihub22266oqcxt.onion/10.12659/MSM.929851
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34181636!8252892!34181636
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suck abstract from ncbi


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pmid34181636      Med+Sci+Monit 2021 ; 27 (ä): e929851
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  • Factors Influencing Nurses Work Interruption in Wuhan Isolation Wards During the COVID-19 Pandemic #MMPMID34181636
  • Zhou XJ; Dang YY; Wang X; Yang WZ; Lu W; Zhang JH
  • Med Sci Monit 2021[Jun]; 27 (ä): e929851 PMID34181636show ga
  • BACKGROUND Through January 2021, the novel coronavirus (COVID-19) continued to create significant pressure on medical staff who have worked to treat patients with the disease and control its spread. This study aimed to increase understanding of the situation and influencing factors of nurses' work interruption in Wuhan's isolation ward during the COVID-19 pandemic. MATERIAL AND METHODS A self-designed general situation questionnaire and work interruption questionnaire were used to survey 160 nurses from Beijing, Chongqing, and Jilin who worked during the COVID-19 pandemic in Wuhan in March 2020. The questionnaire could only be answered once by each nurse via a WeChat account. The submitted answers were verified by 2 researchers. RESULTS The results showed that the rate of interruption of work among nurses in the isolation ward was 25%, and the rate of nurses experiencing a negative experience was 96.9%. The results of univariate analysis showed that the following factors were related to the work interruption of the nurses in the isolation ward (all P<0.05): emergency public incident training; emergency public incident treatment experience; knowledge of COVID-19 pneumonia; hours worked per shift in the quarantine area; and negative physiologic experience. Logistic regression analysis showed that negative experience, hours worked per shift, and emergency public incident training were the independent factors influencing work interruption among nurses in the isolation wards. CONCLUSIONS The incidence of interruption of work among nurses in the isolation ward was 25%. Negative experiences, long working hours per shift, and lack of emergency public incident training made the nurses more prone to work interruption.
  • |Adult[MESH]
  • |Beijing/epidemiology[MESH]
  • |COVID-19/economics/*nursing[MESH]
  • |China/epidemiology[MESH]
  • |Emergency Service, Hospital[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Nurses/*economics/supply & distribution/trends[MESH]
  • |Pandemics[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]
  • |Surveys and Questionnaires[MESH]


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