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PLoS One ; 15(12): e0243890, 2020.
Article in English | MEDLINE | ID: covidwho-992703

ABSTRACT

OBJECTIVE: This study aimed to investigate the anxiety levels of healthcare workers and to provide guidance on potential accurate social and psychological interventions for healthcare workers during the epidemic of COVID-19 in Zhejiang Province, China. METHODS: Healthcare workers from five hospitals in Zhejiang Province were randomly selected into this study. Zung Self-Assessment Scale for Anxiety (SAS) was used to evaluate the anxiety status of the included 1637 healthcare workers. RESULTS: The total anxiety score of healthcare workers in Zhejiang Province was 30.85 ± 6.89. The univariate analysis showed that the anxiety level of healthcare workers was related to gender, education, occupation, physical condition, job risk coefficient, and with family members on the first-line combating COVID-19 (P <0.05). The multivariate analysis showed that physical condition and job risk coefficient were predictors of anxiety levels of healthcare workers. CONCLUSIONS: During the epidemic of COVID-19, 1637 healthcare workers generally had an increased tendency to have anxiety. Individualized assessment of the anxiety level of healthcare workers should be provided, and different interventions should be given based on the evaluation results.


Subject(s)
Anxiety/psychology , COVID-19/epidemiology , Pandemics , SARS-CoV-2/pathogenicity , Adult , Anxiety/virology , COVID-19/psychology , Female , Health Personnel/psychology , Humans , Male , Middle Aged , Occupational Exposure , Stress, Psychological/epidemiology
2.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 49(4): 480-486, 2020 Aug 25.
Article in Chinese | MEDLINE | ID: covidwho-803244

ABSTRACT

OBJECTIVE: To study the working experience of COVID-19 care nurses. METHODS: Twenty two nurses taking care of COVID-19 patients were interviewed by means of descriptive phenomenology. All the data were transcribed and recorded, and then processed into WORD documents. The Colaizzi 7 footwork was used to classify, encode, establish nodes and extract themes based on Nvivo11.0 software. RESULTS: Two main themes were extracted: one is the positive feelings of nurses, including the sense of professional mission and pride, the sense of achievement and happiness, the improvement of self-worth and ability, the powerful support system and the power of role models; the other is the negative experience of nurses, including the worry and anxiety at work, the lack of experience and trust, the difficulty of work, and the inconvenience of isolating life. CONCLUSIONS: s While fully affirming the work value of nurses, it is necessary for the society, hospitals and patients to give extensive and continuous support, care and respect to nurses, so as to stimulate their working enthusiasm and sense of professional achievement. Hospital managers need to implement all kinds of security work, meet the safety needs of nurses, pay attention to the physical and mental health of nurses, strengthen the training of nursing talents for critical and severe diseases and infectious diseases, improve the allocation of human resources, and enhance the ability of material allocation and reserve for major health events, so as to make adequate preparations for coping with public health events in the future.


Subject(s)
Coronavirus Infections , Hospitals , Nurses , Pandemics , Pneumonia, Viral , Workplace , Betacoronavirus , COVID-19 , Hospitals/statistics & numerical data , Humans , Nurses/statistics & numerical data , Qualitative Research , SARS-CoV-2 , Workplace/statistics & numerical data
3.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 49(5): 656-661, 2020 Oct 25.
Article in Chinese | MEDLINE | ID: covidwho-789530

ABSTRACT

OBJECTIVE: To evaluate the application of three-in-one intelligent screening in outpatient pre-inspection in children's hospital. METHODS: We randomly enrolled 100 children pre-screened by traditional method in the outpatient department of Children's Hospital of Zhejiang University from February 6th to 16th, 2020, and another 100 children by the intelligent three-in-one mode from February 17th to 27th, 2020. The traditional triage was conducted by nurses based on face-to-face, one-by-one interview of the epidemiological history and consultation department, and the temperature was measured before manual triage. The intelligent three-in-one model combined online rapid pre-inspection and triage, on-site manual confirmation, as well as synchronized online health education system. For on-line registered patients, the system automatically sent the COVID-19 epidemiological pre-screening triage questionnaire one hour before the appointment, requiring parents to complete and submit online before arriving at the hospital. The on-site registered patients were controlled at 100 m away from the hospital entrance. The nurses guided the parents to scan the QR code and fill in the COVID-19 epidemiological pre-examination triage questionnaire. At the entrance of the hospital, the nurse checked the guidance sheet and took the temperature again. The children with red guidance sheet were checked again and confirmed by pre-examination nurses, and accompanied to the isolation clinic through COVID-19 patients-only entrance. The children with yellow guidance sheet were guided to fever clinic. The children with green guidance sheet could go with their parents to the designated area, and then went to the corresponding consultation area. Health education was carried out throughout the treatment, and the system automatically posted the corresponding outpatient instructions and education courses. Parents would read the courses on their mobile phones and counsel online. The time of pre-examination and the coincidence rate of triage were compared between the two groups. RESULTS: The three-in-one intelligent pre-inspection mode took an average of (25.6±8.0) s for each child, which was significantly shorter than the traditional pre-inspection mode (74.8±36.4) s (t=13.182, P<0.01). The triage coincidence rate of the intelligent pre-inspection model was 98%, which was similar to that of traditional model (97%, χ2=0.251, P>0.05). CONCLUSIONS: The three-in-one intelligent pre-inspection model can effectively shorten the patient pre-check time, with similar triage coincidence rate to traditional model.


Subject(s)
Coronavirus Infections , Outpatient Clinics, Hospital , Pandemics , Pneumonia, Viral , Triage , Adult , Betacoronavirus , COVID-19 , Child , Coronavirus Infections/diagnosis , Humans , Internet , Pneumonia, Viral/diagnosis , SARS-CoV-2 , Surveys and Questionnaires , Time , Triage/methods , Triage/standards
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