| Literature DB >> 33820653 |
Floris B Poelmann1, Tijmen Koëter2, Pieter J Steinkamp1, Menno R Vriens3, Bas Verhoeven2, Schelto Kruijff4.
Abstract
BACKGROUND: The coronavirus disease 2019 pandemic led to major changes in health care and education options for all health care employees. The aim of this study is to achieve insight into coronavirus disease-care participation of surgical residents in the Netherlands, the impact of coronavirus disease 2019 on the experienced quality of surgical training, and the influence on Burn-out and Work Engagement compared with the non-coronavirus disease 2019 period in January 2020.Entities:
Mesh:
Year: 2021 PMID: 33820653 PMCID: PMC7934663 DOI: 10.1016/j.surg.2021.02.061
Source DB: PubMed Journal: Surgery ISSN: 0039-6060 Impact factor: 3.982
Resident characteristics
| COVID Ward (N = 56) | COVID Intensive Care (N = 96) | P value | |
|---|---|---|---|
| Duration of deployment in weeks (median, range) | 4.4 (0.3–12) | 5.3 (0.1–16) | 0.32 |
| Feeling of added value | 63.8% | 63.8% | 0.40 |
| Safe work environment | 83.3% | 93.6% | 0.27 |
| Adequate supervision | 83.3% | 95.7% | 0.46 |
| Feeling competent | 74.0% | 90.4% | 0.39 |
| Availability of PPE | 86.3% | 96.7% | 0.28 |
| COVID-19 infection | 12.5% | 9.38% | 0.25 |
COVID-19, coronavirus disease 2019; PPE, personal protective equipment.
Fig 1The influence of the COVID-19 pandemic on surgical training and surgical exposure in Dutch surgical residents. COVID-19, coronavirus disease 2019.
Fig 2The influence of the COVID-19 pandemic on surgical training and education in Dutch surgical residents. COVID-19, coronavirus disease 2019.
Prevalence of burn-out symptoms during the COVID-19 pandemic
| Burn-Out Symptoms, | P value | |
|---|---|---|
| Total group ( | 26 (9.0) | |
| Male:Female | 13 (8.2%):13 (10.0%) | 0.60 |
| Non-academic:Academic | 20 (9.6%):6 (7.5%) | 0.58 |
| COVID care:No COVID care | 16 (11.6%):10 (6.7%) | 0.14 |
| COVID infection:No infection | 1 (10.0%):5 (9.0%) | 0.91 |
| COVID ward:No COVID ward | 8 (16.0%):18 (7.6%) | 0.06 |
COVID, coronavirus disease.
Prevalence of burn-out symptoms in de pre-COVID-19 era
| Burn-Out Symptoms, N (%) | P value | |
|---|---|---|
| Total group ( | 29 (9.5) | |
| Male:Female | 14 (8.6%):15 (10.5%) | 0.58 |
| Non-academic:Academic | 27 (12.3%):2 (2.3%) | 0.007 |
| Having kids:Having no kids | 12 (9.7%):17 (9.4%) | 0.93 |
| Full-time:Part-time | 13 (7.7%):16 (12.8%) | 0.18 |
| Year 1–4:Year 5–6 | 19 (9.9%):10 (8.9%) | 0.86 |
COVID-19, coronavirus disease 2019.
Fig 3Individual scores of the Maslach Burn-out score before and during the COVID-19 pandemic. COVID-19, coronavirus disease 2019.
Prevalence of work engagement during the COVID-19 pandemic
| Work Engagement | P value | |
|---|---|---|
| Total group ( | 4.6 | |
| Male:Female | 4.6:4.4 | 0.08 |
| Non-academic:Academic | 4.5:4.5 | 0.39 |
| COVID care:No COVID care | 4.4:4.6 | 0.02 |
| COVID infection:No infection | 4.4:4.5 | 0.86 |
| COVID ward:No COVID ward | 4.3: 4.6 | 0.07 |
| COVID ICU:COVID ward | 4.6:4.2 | 0.02 |
COVID-19, coronavirus disease 2019.
Fig 4Individual scores of the factors determining work engagement before and during the COVID-19 pandemic. COVID-19, coronavirus disease 2019.