| Literature DB >> 33912238 |
Andres Guercovich1,2, Gonzalo Piazzioni3, Federico Waisberg4,2, Pablo Mandó5,2, Martín Angel6,2,7.
Abstract
Burnout (BO) syndrome is a condition that results in physical and mental distress. The current COVID-19 pandemic is strongly affecting the mental health of the general population. We aimed to assess the incidence of BO among medical oncologists and determine factors associated with burnout levels during the current pandemic.Entities:
Keywords: COVID-19; burnout; pandemic
Year: 2021 PMID: 33912238 PMCID: PMC8057778 DOI: 10.3332/ecancer.2021.1213
Source DB: PubMed Journal: Ecancermedicalscience ISSN: 1754-6605
Demographics characteristics (n:188).
| Age, median (IQR) | 43 (38–50) |
| Sex, | Male 93 (49.5) |
| Female 95 (50.5) | |
| Marital status, | Single 39 (20.7) |
| Couple not married 43 (22.9) | |
| Married, 106 (56.4) | |
| Children, | 137 (72.9) |
| Children at school, | 72 (38.3) |
| Daily physical activity, | 122 (64.9) |
| Occupational characteristics | |
| Primary place of work, | Private, 60 (31.9) |
| Public, 24 (12.8) | |
| Both, 104 (55.3) | |
| Years of practice, | Resident, 16 (8.5) |
| <5 years 23 (12.2) | |
| 5–10 years 49 (26.1) | |
| >10 years, 100 (53.2) | |
| Working hours per week, | ≤25 hours, 3 (1.6) |
| 26–40, 86 (45.7) | |
| >40, 99 (52.7) | |
| Working on weekends, | 82 (43.6) |
| Number of patients per week | Under 50, 38 (20.2) |
| 51–100, 130 (69.2) | |
| More 100, 20 (10.6) | |
| Clinical research | 86 (45.7) |
| Telemedicine, | Less 20%, 120 (63.8) |
| 21%–50%, 53 (28.2) | |
| 51%–80%, 13 (6.9) | |
| More 80%, 2 (1.1) | |
| Designated hour/week to read about COVID-19, | 1–5, 129 (68.6) |
| 6–10, 50 (26.6) | |
| >10, 9 (4.8) | |
Psychological wellbeing.
| Use of antidepressant or sleeping drugs | 32 (17.0) |
| Family income reduced by COVID-19 pandemic | 136 (72.3) |
| Medical institution support | |
| Financial | 79 (42.0) |
| Personal protective equipment (PPE) | 134 (71.3) |
| Psychological | 54 (28.7) |
| AAOC support | |
| Academic | 125 (66.5) |
| COVID-19 pandemic | 148 (78.7) |
| Feeling of being prepared to treat patients with COVID 19 | 154 (81.9) |
MBI results.
| DP, median (IQR) | 8 (6–12.5) |
| High (≥13) | 47 (25.0) |
| Intermediate (7–12) | 78 (41.5) |
| Low (≤6) | 63 (33.5) |
| EE, median (IQR) | 23 (18–31) |
| High (≥27) | 75 (39.9) |
| Intermediate (17–26) | 70 (37.2) |
| Low (≤16) | 43 (22.9) |
| PA, median (IQR) | 31 (26–35) |
| High (≥39) | 101 (53.7) |
| Intermediate (32–38) | 62 (33.0) |
| Low (≤31) | 101 (53.7) |
| BO Maslach | 28 (14.9) |
| BO Peiro | 57 (30.3) |
| BO Neira | 90 (47.9) |
Figure 1.Maslach Burnout Inventory (MSI) results according to BO.
Figure 2.Altered domains according to assessment tool. (a): MSI, (b): Gil-Monte and Peiro and (c): Neira.
Univariate analysis of factors associated with BO syndrome.
| Variables | OR | 95% CI | |
|---|---|---|---|
| Age > 40 years old | 0.43 | 0.19–0.96 | 0.040 |
| Parenthood | 0.43 | 0.19–0.99 | 0.046 |
| Working on weekends | 2.70 | 1.17–6.22 | 0.020 |
| Psycho-oncology | 0.48 | 0.21–1.09 | 0.078 |
| Antidepressants and sleeping pills | 2.27 | 0.90–5.73 | 0.084 |
| Reduced income | 2.57 | 0.85–7.81 | 0.096 |
Multivariate analysis of factors associated with BO syndrome.
| Variables | OR | 95% CI | |
|---|---|---|---|
| Age > 40 years old | 0.31 | 0.13–0.75 | 0.009 |
| Antidepressants and sleeping pills | 3.33 | 1.21–9.16 | 0.019 |
| Reduced income | 3.44 | 1.08–10.99 | 0.037 |