Personal Resilience, Social Support, and Organizational Support Impact Burnout among Nurses During COVID-19

  1. Hanan Daghash

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Abstract

Background

Nurses have been under heavy workloads since the outbreak of COVID-19 and are at a high risk of infection, leading to a high level of psychosocial risk. This can adversely affect nurses both psychologically and physically. Burnout is caused by prolonged stress during work. In the nursing profession, burnout is common, potentially affecting the well-being of nurses and their productivity. The identification of factors that may contribute to maintaining mental health and reducing burnout among frontline nurses during a pandemic is essential.

Purpose

The purpose of this study was to explore how personal resilience, social support, and organizational support impact burnout among frontline staff nurses.

Methods

This study involved 129 registered nurses from a COVID-19 designated hospital using four standardized scales.

Results

The mean age of the respondents was 29.46 years (standard deviation = 4.89). The mean number of years respondents worked in this organization was 5.60 years and the nursing profession was 4.16 years. Most of the respondents were female and held a bachelor’s degree in nursing. Multiple regression analysis was performed to predict burnout. Burnout was statistically significantly predicted by the multiple regression model ( R 2 = .420, F (3, 125) = 10.941, p < .0001; adjusted R 2 = .406). Personal resilience, social support, and organizational support added statistically significantly to the prediction of burnout ( p < .05).

Conclusion

Findings from multiple regression analysis showed that nurses with low resilience and those who perceived inadequate social and organizational support had a higher risk of reporting more burnout. As a result of a bivariate analysis, there was no significant correlation between nurse variables and burnout level, except for age, which was negatively correlated with burnout level. Accordingly, young nurses tend to experience burnout, and nurse directors and managers must address this problem.

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  1. ScreenIT

    SciScore for 10.1101/2022.01.05.22268637: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: Ethical considerations: This study was approved by the Institutional Review Board (IRB) of the Tabuk region’s General Director of Health Affairs (reference number: TU-077/020/064).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The hospital was designated to treat patients who were positive for SARS-CoV-2 antibodies.
    SARS-CoV-2
    suggested: None
    Software and Algorithms
    SentencesResources
    The data for this study were analyzed using the SPSS statistical software version 23 for Windows 22.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Despite the fact that this study provides nursing administrators with evidence to assist nurses in pandemic scenarios, certain limitations were identified. First, the research was limited to a small group of nurses from a particular institution, as the findings cannot be generalized to nurses across the country or the globe. Furthermore, the research design has significant drawbacks, such as the inability to establish causal links between variables. In the future, researchers using both qualitative and quantitative research methods may be able to collect information from participants that cannot be obtained through self-report measures. To determine the effectiveness of resilience management programs and other strategies, rigorous studies using rigorous methods (such as randomized control trials) would need to be conducted. Moreover, during the epidemic, nurses are likely to benefit from mindfulness and/or cognitive behavioral therapy[28]. Ideally, future research should explore individual factors (e.g., self-efficacy, coping skills, and hardiness), supervisors’ factors (e.g., nursing schedules and leadership styles), and organizational factors (e.g., workload, healthcare staffing levels, resource availability, hospital size, and number) play a role in nursing burnout during pandemics.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2022.01.05.22268637v1 on medRxiv