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Jpn J Nurs Sci ; 19(4): e12487, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1764978

ABSTRACT

AIM: To investigate the professional identities and the willingness of nurses to respond to the call for support during the COVID-19 epidemic. BACKGROUND: The COVID-19 epidemic has resulted in nearly 300 million cases worldwide, causing more than five million deaths. However, the professional identities and the willingness of nurses to provide support during the COVID-19 epidemic in China remain unclear. METHODS: A total of 1,505 eligible nurses from 120 hospitals during the COVID-19 outbreak in China were included. Questionnaires were used to evaluate the willingness of these nurses to participate in epidemic control efforts. The Nurses' Professional Identity Scale was used to measure their sense of professional identity. RESULTS: About 90% of the nurses were willing to lend support in Hubei Province during the epidemic. The most common reason (93.84%) was found to be their beliefs as medical personnel in helping others in need. Nearly 10% of the nurses were unwilling to go to Hubei, primarily due to family reasons. The average total score of the Professional Identity Scale for all nurses reached a moderate to high level as indication of professional identity (116-125). Nurses who were willing to go to Hubei had a significantly higher total score than those who were not. CONCLUSIONS: The professional identity of nurses in China improved during the epidemic, and those with higher professional identities were more likely to respond to calls for support during the epidemic.


Subject(s)
COVID-19 , Nurses , China/epidemiology , Disease Outbreaks , Humans , Surveys and Questionnaires
2.
J Clin Nurs ; 29(21-22): 4270-4280, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-719388

ABSTRACT

AIM AND OBJECTIVE: To explore nurses' experiences regarding shift patterns while providing front-line care for COVID-19 patients in isolation wards of hospitals in Shanghai and Wuhan during the novel coronavirus pandemic. Our findings will help to optimise shift work scheduling, use the existing nursing workforce more efficiently and improve nursing quality. BACKGROUND: Nurses are one of the main professionals fighting against COVID-19. Providing care for COVID-19 patients is challenging. In isolation wards, the workload has increased, and the workflow and shift patterns are completely different from the usual. More importantly, there is a shortage of nurses. Therefore, it is essential and urgent to arrange nurses' shifts correctly and use the existing workforce resources efficiently. DESIGN: A qualitative descriptive study of 14 nurses in Chinese hospitals was conducted. METHODS: Semi-structured interviews were used based on the phenomenological research method; data were analysed using Colaizzi's method of data analysis. This study aligns with the COREQ checklist. RESULTS: Four themes were extracted: assess the competency of nurses to assign nursing work scientifically and reasonably, reorganise nursing workflow to optimise shift patterns, communicate between managers and front-line nurses to humanise shift patterns, and nurses' various feelings and views on shift patterns. CONCLUSION: It is necessary to arrange shift patterns scientifically and allocate workforce rationally to optimise nursing workforce allocation, reduce nurses' workload, improve nursing quality and promote physical and mental health among nurses during the COVID-19 pandemic. RELEVANCE TO CLINICAL PRACTICE: This study emphasised nurses' experiences on shift patterns in isolation wards, providing useful information to manage shift patterns. Nursing managers should arrange shifts scientifically, allocate nursing workforce rationally, formulate emergency plans and establish emergency response rosters during the COVID-19 pandemic.


Subject(s)
COVID-19/nursing , Nursing Staff, Hospital/organization & administration , Personnel Staffing and Scheduling/organization & administration , Workflow , Adult , China , Female , Humans , Middle Aged , Pandemics , Qualitative Research , SARS-CoV-2 , Workload/psychology
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