Your browser doesn't support javascript.
Frontline nurses' willingness to work during the COVID-19 pandemic: A mixed-methods study.
Ke, Qiaohong; Chan, Sally Wai-Chi; Kong, Yue; Fu, Jianguo; Li, Wengang; Shen, Qu; Zhu, Jiemin.
  • Ke Q; Department of Gynaecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian Province, P. R. China.
  • Chan SW; President Office, Tung Wah College, Hong Kong, China.
  • Kong Y; Department of Nursing, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, Fujian, P. R. China.
  • Fu J; Department of Infection Control, Zhongshan Hospital, Xiamen University, Xiamen, Fujian Province, P. R. China.
  • Li W; School of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.
  • Shen Q; School of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.
  • Zhu J; School of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.
J Adv Nurs ; 77(9): 3880-3893, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1325009
ABSTRACT

AIM:

Frontline nurses' willingness to work has significant implications for maintaining workforce stability and quality of care during the COVID-19 pandemic; however, few studies have investigated their willingness and the corresponding reasons. This study aims to examine frontline nurses' willingness to work, identify its predictors and explore its corresponding reasons.

DESIGN:

A mixed-methods design was conducted.

METHODS:

Based on a multilevel behavioural-diagnostic model, a questionnaire survey was used to collect quantitative and qualitative data concurrently from 13 February to 24 February 2020 to explore frontline nurses' willingness to work and the corresponding reasons in two hospitals in Wuhan, China. One was a designated hospital which only received COVID-19 patients, and the other was built up temporarily for COVID-19 patients.

RESULTS:

Of the 2014 participants, most (n = 1950, 96.8%) indicated their willingness to work, and a few (n = 64, 3.2%) expressed their unwillingness. Binary logistic regression analysis identified five predictors of participants' willingness to work, including monthly family income, average working hours per shift, belief in their colleagues' preparedness, belief in their hospitals' preparedness and levels of depression. These indicators explained 27% of the variance (p < .05). Frontline nurses' willingness to work mainly arose from professional commitment, patriotism and faith, while unwillingness to do so primarily stemmed from safety concerns and family responsibility.

CONCLUSION:

Most frontline nurses were willing to work and showed great professional commitment. IMPACT Professional commitment and patriotism were two important individual-level factors affecting frontline nurses' willingness to work during a pandemic. Strategies should be implemented, such as appreciating and acknowledging their contribution, rewarding their valuable work, arranging reasonable working hours, enhancing colleagues' and hospitals' preparedness, and providing emotional support. Moreover, adequate personal protective equipment, self-protection training and social support should be ensured to address frontline nurses' safety concerns and family responsibility.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses / Nursing Staff, Hospital Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: J Adv Nurs Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses / Nursing Staff, Hospital Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: J Adv Nurs Year: 2021 Document Type: Article