| Literature DB >> 35573618 |
Mahdi Zareei1, Zeinab Tabanejad2,3,4, Fatemeh Oskouie4,5, Abbas Ebadi6,7, Morteza Mesri2,3.
Abstract
BACKGROUND: Nurses are in close contact with COVID-19 patients and due to the high risk of infection, they experience fear and anxiety that can result in burnout. This study aimed to review the studies on burnout among nurses during the COVID-19 epidemic.Entities:
Keywords: COVID-19; job burnout; nurse
Year: 2022 PMID: 35573618 PMCID: PMC9093652 DOI: 10.4103/jehp.jehp_797_21
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Figure 1PRISMA flow diagram
Levels of nurse’s burnout during the coronavirus disease 2019 pandemic (n=7)
| Level of nurse’s burnout | Frequency (%) | Country |
|---|---|---|
| Low | - | - |
| Moderate | 4 (57.14) | China |
| High | 3 (42.86) | Iran, China, Istanbul |
A summary of the characteristics and the quality indicators of the included studies
| Authors/country/year | Design and method | Sampling | Sample size/age group or mean age | Instrument used | Analysis methods | Important findings | The prevalence/severity of burnout among nurses |
|
|---|---|---|---|---|---|---|---|---|
| Hu | Descriptive cross sectional | All frontline nurses in two hospitals in Wuhan/online WeChat | 2014 nurses | MBI-HSS | Descriptive statistics, independent - samples | Frontline nurses experienced a variety of mental health challenges, especially burnout and fear, which warrants more attention and support from policymakers | Moderate level | <0.05 |
| Wan | Descriptive cross sectional | Online | 1011 nurses | MBI-GS, STAI | Descriptive statistics, linear regression | The anxiety level among nurses during the COVID-19 is serious | Mild to medium | <0.05 |
| Guixia and Hui/2020[ | Descriptive cross sectional | Convenient sampling, online survey (WeChat friends) | - | MBI, SAS, and SDS | Spearman/Pearson correlation analyses, Chi-square, multiple regression | The incidence of nurses’ burnout was high in the period of COVID-19 | Mainly mild (81.6%) | ≤0.05 |
| Hoseinabadi | Cross sectional | Frontline nurses in a hospital | 245 nurse/23-54 years | OLBI, JSQ, and questionnaires of hospital resources, family support, and measuring the fear of COVID-19 | Descriptive statistics, Chi-square test, Fisher’s exact test, independent samples | The strong relationship between burnout and problems influenced | Burnout in the group exposed to COVID-19 patients was significantly higher than those who cared for non-COVID-19 patients | <0.05 |
| Murat/China/October 2020[ | Cross-sectional | Purposive sampling/online | 705 nurses | MBI, PSS and BDI | Descriptive analysis, means and standard, deviations samples | preventive and promotive interventions in mental health should be planned and implemented to improve the mental health and maintain the well-being of front-line nurses | High levels of stress and burnout | <0.05 |
| Chen | Cross-sectional | Online (WeChat app) | 350 nurses | TSQ, MBI-GS, PTGI-SF | Descriptive analysis, Chi-square, logistic and multiple linear regressions | Nurses who care for patients with infectious diseases exhibit higher levels of burnout | Higher levels | <0.05 |
| Hardiyono/2020[ | Qualitative | Census | - | Group discussion (FGD) | Qualitative analysis | Nurses experienced burnout when they care for a large number of patients with positive COVID-19 | Moderate level | - |
COVID-19=Coronavirus disease 2019, SAS=Self-rating Anxiety Scale, SDS=Self-rating Depression Scale, JSQ=Job stress questionnaire, MBI-GS=Maslach Burnout inventory - general survey, STAI=State-trait anxiety inventory, OLBI=Oldenburg burnout inventory, PANAS=The positive and negative affective schedule, CD-RISC=The Connor-Davidson Resilience Scale, MBI-HSS=Maslach burnout inventory - human services survey, TSQ=Trauma screening questionnaire, PTGI-SF=Posttraumatic growth inventory-short form, FGD=Focus group discussion, SAI=State anxiety inventory, TAI=Trait anxiety inventory, PSS=Perceived Stress Scale, BDI=Beck Depression Inventory