| Literature DB >> 35954685 |
Katarzyna Podhorodecka1,2,3, Paweł Radkowski3,4, Paulina Boniecka1,2, Joanna Wojtkiewicz2.
Abstract
INTRODUCTION: The response to the COVID-19 pandemic by anesthesiologists has been simply heroic. Unfortunately, there are very few evidence-based studies in the literature that focus on anesthesiologists' burnout during that time. The purpose of our study was to examine the psychological distress, after the COVID-19 pandemic, among anesthesiologists in Poland.Entities:
Keywords: COVID-19; anesthesiologists; burnout; pandemic; stress; well-being
Mesh:
Year: 2022 PMID: 35954685 PMCID: PMC9368077 DOI: 10.3390/ijerph19159328
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Division participants in groups, depending on the mean scores derived from the OLBI test.
| Variable | Frequency n = 158 | Percent % |
|---|---|---|
| Non-burnout group | 7 | 4% |
| Disengaged group | 19 | 12% |
| Exhausted group | 17 | 11% |
| Burnout group | 115 | 73% |
Summary descriptive table compares the proportions of burnout vs. non-burnout according to the given questions. p-values were measured using a chi-square test. We measured whether factors, from the questions asked, statistically influenced being burned out in an anesthesiologist’s job. We considered whether playing sports, having a child, being a specialist or a resident, being a female or a male, the number of working hours, working less or more than 15 years, changing jobs during the COVID-19 pandemic, or living in a city of more or less than 100,000 people affected the risk of professional burnout.
| Questions from Survey | Groups | Burnout Group n = 115 | Exhausted, | |
|---|---|---|---|---|
| Does the participant play sports? | Yes 44/158 (28%) | 27/115 (24%) | 17/43 (40%) | 0.045 (<0.05) Playing sport does affect being burnout. |
| No 114/158 (72%) | 88/115 (77%) | 26/43 (61%) | ||
| Does the participant have a child? | Yes 100/158 (63%) | 71/115 (62%) | 29/43 (67%) | 0.508 (>0.05) Having child does not affect being burnt out. |
| No 58/158 (37%) | 44/115 (38%) | 14/43 (33%) | ||
| Does the participant is a specialist or a resident of anesthesiology? | Specialist 97/158 (61%) | 71/115 (62%) | 26/43 (61%) | 0.883 (>0.05) Being a specialist or resident does not affect being burnt out. |
| Resident 61/158 (39%) | 44/115 (38%) | 17/43(40%) | ||
| What is the gender of the participant? | Female 109/158 (69%) | 77/115 (67%) | 32/43 (74%) | 0.361 (>0.05) Being female or male does not affect being burnout. |
| Male 49/158 (31%) | 38/115 (33%) | 11/43 (26%) | ||
| How many years has the participant been working? | Longer than 15 years 42/158 (27%) | 27/115 (24%) | 15/43 (35%) | 0.155 (>0.05) Working longer than 15 years or less than 15 years does not affect being burnt out. |
| Less than 15 years 116/158 (73%) | 88/115 (77%) | 28/43 (65%) | ||
| Did the participant change the place of work during COVID-19? | Yes 56/158 (35.4%) | 46/115 (40%) | 10/43 (23%) | 0.05019 (>0.05) Changing the place of work during COVID-19 does not affect being burnt out. |
| No 102/158 (65%) | 69/115 (60%) | 33/43 (77%) | ||
| How many inhabitants are there in the city in which the participant works? | More than 100 thousand 129/158 (82%) | 98/115 (85%) | 31/43 (72%) | 0.057 (>0.05) Living in the city with more than 100,000 inhabitants or less than 100,000 inhabitants does not affect being burnt out. |
| less than 100 thousand 29/158 (18%) | 17/115 (15%) | 12/43 (28%) |
Comparing the median in two dependent groups by Wilcoxon test.
| Pre-Pandemic Stress Levels at Work | Stress Levels at Work During the COVID-19 Pandemic | The | |
|---|---|---|---|
| Median (on scale from 1 to 10) | 6 | 9 |