| Literature DB >> 33384515 |
Sinu Jose1, Manju Dhandapani2, Maneesha C Cyriac3.
Abstract
BACKGROUND: The COVID-19 pandemic had a massive impact on healthcare systems, increasing the risks of psychological distress in health professionals. Burnout is a prolonged response to chronic emotional and interpersonal stressors on the job and is defined by the three dimensions of emotional exhaustion, cynicism, and personal inefficacy.Entities:
Keywords: Burnout; COVID-19 pandemic; Emergency nurses; Emotional exhaustion; Frontline nurses; Hardiness; Optimism; Resilience
Year: 2020 PMID: 33384515 PMCID: PMC7751034 DOI: 10.5005/jp-journals-10071-23667
Source DB: PubMed Journal: Indian J Crit Care Med ISSN: 0972-5229
MBI-human services survey score classification
| Emotional exhaustion | 0–16 | 17–26 | >27 |
| Depersonalization | 0–6 | 7–12 | >13 |
| Personal accomplishment | >39 | 32–38 | 0–31 |
Distribution of frontline nurses in the emergency department based on sociodemographic data and perception related to COVID-19 (n = 120)
| Age groups (years) | |
| <30 | 78 (65) |
| 31–40 | 38 (31.7) |
| >41 | 4 (3.3) |
| Gender | |
| Female | 88 (73.3) |
| Male | 32 (26.7) |
| Education | |
| Diploma in nursing | 10 (8.3) |
| Basic/post-basic degree in nursing | 106 (88.3) |
| Postgraduation in nursing | 4 (3.4) |
| Year of experience in emergency | |
| 1–5 | 72 (60) |
| 6–10 | 37 (30.8) |
| >11 | 11 (9.2) |
| Marital status | |
| Unmarried | 65 (54.2) |
| Married | 54 (45) |
| Separated/divorced | 1 (0.8) |
| Number of members in the household | |
| Alone | 11 (9.2) |
| 2–5 | 91 (75.8) |
| >6 | 18 (15) |
| Having children | |
| No | 80 (66.7) |
| Yes | 38 (31.7) |
| Pregnant | 2 (1.6) |
| Contact with COVID-19 confirmed patients without protection | |
| Yes | 86 (71.7) |
| No | 34 (28.3) |
| Confident in self-protection | |
| Yes | 80 (66.7) |
| No | 40 (33.3) |
| Perception of safety against COVID-19 in working place | |
| Very safe | 17 (15.7) |
| Safe | 44 (40.7) |
| Somewhat safe | 33 (30.6) |
| Unsafe | 3 (2.8) |
| Very unsafe | 11 (10.2) |
| Fear of infecting family members | |
| Yes | 103 (85.8) |
| No | 17 (14.2) |
Fig. 1Mean scores of the burnout among frontline nurses during COVID-19 pandemic
Burnout among frontline nurses in the emergency during COVID-19 pandemic (n = 120)
| Emotional exhaustion | 29.13 ± 10.30 |
| Low (0–16) | 10 (8.3%) |
| Moderate (17–26) | 45 (37.5%) |
| High (27–54) | 65 (54.2%) |
| Depersonalization | 12.90 ± 4.67 |
| Low (0–6) | 6 (5%) |
| Moderate (7–12) | 62 (51.7%) |
| High (13–30) | 52 (43.3%) |
| Reduced personal accomplishment | 37.68 ± 5.17 |
| Low (>39) | 55 (45.8%) |
| Moderate (32–38) | 50 (41.7%) |
| High (0–31) | 15 (12.5%) |
Fig. 2Resilience among frontline nurses in the emergency department during the COVID-19 pandemic
Mean resilience scores among frontline nurses in the emergency department during COVID-19 pandemic (n = 120)
| Hardiness | 22.80 ± 3.80 |
| High (24–28) | 57 (47.5%) |
| Moderate (17–23) | 57 (47.5%) |
| Low (<16) | 6 (5%) |
| Self-efficacy | 24.15 ± 4.75 |
| High (26–32) | 51 (42.5%) |
| Moderate (16–25) | 64 (53.3%) |
| Low (<15) | 5 (4.2%) |
| Meaningfulness/purpose | 12.50 ± 2.45 |
| High (11–16) | 94 (78.3%) |
| Low (<10) | 26 (21.7%) |
| Optimism | 18.33 ± 3.28 |
| High (21–24) | 37 (30.8%) |
| Medium (16–20) | 55 (45.8%) |
| Low (<21) | 28 (23.4%) |
Correlation between burnout and resilience among frontline nurses working in the emergency department (n = 120)
| Resilience score | −0.252 | −0.069 | −0.313 |
Significant at 0.05
Significant at 0.01
Level of emotional exhaustion of frontline nurses in the emergency with selected demographic variables (n = 120)
| Age | ||||||
| <30 | 8 (6.7%) | 30 (25%) | 40 (33.33) | 1.837 | 4 | 0.766 |
| 31–40 | 2 (1.67%) | 14 (11.67) | 22 (18.33) | |||
| >41 | 0 | 1 (0.83%) | 3 (2.5%) | |||
| Gender | ||||||
| Female | 6 (5%) | 34 (28.33%) | 48 (40%) | 1.031 | 2 | 0.597 |
| Male | 4 (3.33%) | 11 (9.17%) | 17 (14.17) | |||
| Fear of infecting family members | ||||||
| Yes | 6 (5%) | 37 (27.5%) | 60 (50%) | 8.212 | 2 | 0.016 |
| No | 4 (3.33%) | 8 (6.67%) | 5 (4.17%) | |||
| Confident in self-protection | ||||||
| Yes | 8 (6.7%) | 35 (29.17%) | 37 (27.5%) | 6.077 | 2 | 0.048 |
| No | 29 (24.17%) | 10 (8.33%) | 28 (23.33%) | |||
| Safety against COVID-19 in the workplace | ||||||
| Safe | 3 (2.5%) | 12 (10%) | 10 (8.33%) | 12.35 | 4 | 0.015 |
| Somewhat safe | 6 (5%) | 21 (17.5%) | 20 (16.67%) | |||
| Unsafe | 1 (0.83%) | 12 (10%) | 35 (29.17%) | |||
Significant at 0.05
Level of depersonalization among frontline nurses in an emergency in relation to sociodemographic variables (n = 120)
| Age | ||||||
| <30 | 4 (3.33%) | 46 (38.33%) | 28 (23.33%) | 9.471 | 4 | 0.05 |
| 31–40 | 2 (1.67%) | 16 (13.33%) | 20 (1.67%) | |||
| >41 | 0 | 0 | 4 (3.33%) | |||
| Gender | ||||||
| Female | 5 (4.17%) | 49 (40.83%) | 34 (28.33%) | 3.017 | 2 | 0.221 |
| Male | 1 (0.83%) | 13 (10.83%) | 18 (15%) | |||
| Fear of infecting family members | ||||||
| Yes | 5 (4.17%) | 53 (44.17%) | 45 (37.5%) | 0.058 | 2 | 0.97 |
| No | 1 (0.83%) | 9 (7.5%) | 7 (5.83%) | |||
| Confident in self-protection | ||||||
| Yes | 4 (3.33%) | 45 (37.5%) | 31 (25.83%) | 2.139 | 2 | 0.343 |
| No | 2 (1.67%) | 17 (14.17%) | 21 (17.5%) | |||
| Safety against COVID-19 in the workplace | ||||||
| Safe | 2 (1.67%) | 13 (10.83%) | 10 (8.33%) | |||
| Somewhat safe | 4 (3.33%) | 25 (20.83%) | 18 (15%) | 2.79 | 4 | 0.59 |
| Unsafe | 0 | 24 (20%) | 24 (20%) | |||
Significant at 0.05
Level of personal accomplishment among frontline nurses in the emergency with demographic variables (n = 120)
| Age | ||||||
| <30 | 37 (30.83%) | 30 (25%) | 11 (9.17%) | 7.77 | 4 | 0.100 |
| 31–40 | 17 (14.17%) | 19 (15.83%) | 2 (1.67%) | |||
| >41 | 1 (0.83%) | 1 (0.83%) | 2 (1.67%) | |||
| Gender | ||||||
| Female | 40 (33.33%) | 33 (27.5%) | 15 (12.5%) | 6.840 | 2 | 0.03 |
| Male | 15 (12.5%) | 17 (14.17%) | 0 | |||
| Number of members in the household | ||||||
| Alone | 7 (5.83%) | 4 (3.33%) | 0 | 9.335 | 4 | 0.05 |
| 2–5 | 42 (35%) | 34 (28.33%) | 15 (12.5%) | |||
| >6 | 6 (5%) | 12 (10%) | 0 | |||
| Fear of infecting family members | ||||||
| Yes | 46 (38.33%) | 43 (35.83%) | 14 (11.67%) | 0.913 | 2 | 0.633 |
| No | 9 (7.5%) | 7 (5.83%) | 1 (0.83%) | |||
| Safety against COVID-19 in the workplace | ||||||
| Safe | 13 (10.83%) | 11 (9.17%) | 1 (0.83%) | |||
| Somewhat safe | 22 (18.33%) | 19 (15.83%) | 6 (5%) | 2.56 | 4 | 0.63 |
| Unsafe | 20 (16.67%) | 20 (16.67%) | 8 (6.67%) | |||
Significant at 0.05
Level of resilience among the frontline nurses with demographic variables (n = 120)
| Age | ||||||
| <30 | 12 (10%) | 30 (25%) | 36 (30%) | 0.587 | 4 | 0.965 |
| 31–40 | 6 (5%) | 13 (10.83%) | 19 (15.83%) | |||
| >41 | 1 (0.83%) | 1 (0.83%) | 2 (1.67%) | |||
| Gender | ||||||
| Female | 15 (12.5%) | 31 (25.83%) | 42 (35%) | 0.496 | 2 | 0.780 |
| Male | 4 (3.33%) | 13 (10.83%) | 15 (12.5%) | |||
| Fear of infecting family members | ||||||
| Yes | 17 (14.17%) | 39 (32.5%) | 47 (39.17%) | 1.026 | 2 | 0.599 |
| No | 2 (1.67%) | 5 (4.17%) | 10 (8.33%) | |||
| Confident in self-protection | ||||||
| Yes | 13 (10.83%) | 27 (22.5%) | 40 (33.33%) | 0.899 | 2 | 0.638 |
| No | 6 (1.67%) | 17 (14.17%) | 17 (14.17%) | |||
| Contact with positive COVID-19 patient without protection | ||||||
| Yes | 10 (8.33%) | 28 (23.33%) | 48 (40%) | 9.205 | 2 | 0.010 |
| No | 9 (7.5%) | 16 (13.33%) | 9 (7.5%) | |||
| Perception of safety against COVID-19 in the workplace | ||||||
| Safe | 1 (0.83%) | 9 (7.5%) | 15 (12.5%) | 5.130 | 4 | 0.0274 |
| Somewhat safe | 7 (5.83%) | 19 (15.83%) | 21 (17.5%) | |||
| Unsafe | 11 (9.16%) | 16 (13.33%) | 21 (17.5%) | |||
Significant at 0.05
Significant at 0.01