| Literature DB >> 32376208 |
M Abdessater1, M Rouprêt2, V Misrai3, X Matillon4, B Gondran-Tellier5, L Freton6, M Vallée7, I Dominique8, M Felber1, Z-E Khene6, E Fortier9, F Lannes5, C Michiels10, T Grevez11, N Szabla12, J Boustany13, F Bardet14, K Kaulanjan15, E Seizilles de Mazancourt4, G Ploussard16, U Pinar1, B Pradere17.
Abstract
INTRODUCTION: The COVID-19 outbreak in France is disturbing our health system. Urologists in training who are already known to have burnout, are in the front line to face this disease. The aim of our study was to assess the psychological impact of COVID-19 pandemic on young French urologists in training.Entities:
Keywords: Anxiety; Anxiété; COVID19; Enquête; Internes; Residents; Survey; Urologie; Urology; Virus SARS-Cov2
Mesh:
Year: 2020 PMID: 32376208 PMCID: PMC7177119 DOI: 10.1016/j.purol.2020.04.015
Source DB: PubMed Journal: Prog Urol ISSN: 1166-7087 Impact factor: 0.915
Figure 1High respondance rate in endemic regions.
Figure 2Demographic data of the respondents.
Univariable logistic regression according to the different questions of the survey.
| OR (95% CI) | ||
|---|---|---|
| Ability/competency to treat COVID 19 patients if requisitioned | ||
| Sex (female) | 0.67 (0.39–1.13) | 0.15 |
| Medical History | 0.43 (0.18–1.03) | 0.08 |
| Smoker | 0.76 (0.4–1.4) | 0.44 |
| History of psychiatric medication | 3.2 (0.29–36) | 0.56 |
| Experience (Senior) | 1.3 (0.75–2.10) | 0.43 |
| COVID 19 patients in the same building | 1.38 (0.54–3.5) | 0.65 |
| COVID 19 patients in the department | 1.22 (0.7–2.2) | 0.56 |
| High epidemic location | 1.26 (0.77–2.05) | 0.39 |
| Degree of stress during duties | ||
| Sex (female) | 1.25 (0.8–1.6) | 0.44 |
| Medical History | 2.96 (1.23–7.12) | |
| Smoker | 0.66 (0.36–1.20) | 0.22 |
| History of psychiatric medication | NA | NA |
| Experience (Senior) | 1.76 (1.05–2.97) | |
| COVID 19 patients in the same building | 0.89 (0.37–2.15) | 0.83 |
| COVID 19 patients in the department | 2.39 (1.30–4.39) | |
| High epidemic location | 1.71 (1.06–2.78) | |
| Negative impact on work quality | ||
| Sex (female) | 0.69 (0.42–1.16) | 0.19 |
| Medical History | 1.70 (0.75–.84) | 0.24 |
| Smoker | 1.15 (0.62–2.12) | 0.76 |
| History of psychiatric medication | 1.31 (0.12–4.7) | 1 |
| Experience (senior) | 2 (1.17–3.44) | |
| COVID 19 patients in the same building | 1.93 (0.8–4.64) | 0.17 |
| COVID 19 patients in the department | 2.62 (1.39–4.97) | |
| High epidemic location | 1.71 (1.05–2.79) | |
| Negative impact on training | ||
| Sex (female) | 1.68 (0.81–3.48) | 0.17 |
| Medical history | 1.99 (0.58–6.88) | 0.32 |
| Smoker | 1 (0.45–2.23) | 1 |
| History of psychiatric medication | NA | NA |
| Experience (senior) | 0.57 (0.30–1.09) | 0.12 |
| COVID 19 patients in the same building | 2 (0.74–5.41) | 0.23 |
| COVID 19 patients in the department | 1.11 (0.52–2.39) | 0.85 |
| High epidemic location | 1.75 (0.91–3.36) | 0.11 |
In bold: significant values.
Multivariable logistic regression according to the different questions of the survey.
| OR (95% CI) | ||
|---|---|---|
| Degree of stress during duties | ||
| Sex (female) | 1.41 (0.82–2.45) | 0.22 |
| Medical history | 2.57 (1.31–5.98) | |
| Smoker | 0.72 (0.38–1.33) | 0.29 |
| Experience (Senior) | 1.66 (0.96–2.9) | 0.07 |
| COVID 19 patients in the same building | 0.69 (0.26–1.75) | 0.44 |
| COVID 19 patients in the department | 1.85 (0.98–3.59) | 0.06 |
| High epidemic location | 1.56 (0.92–2.64) | 0.097 |
| Negative impact on work quality | ||
| Sex (female) | 0.73 (0.43–1.25) | 0.23 |
| Medical History | 1.17 (0.66–2.19) | 0.6 |
| Smoker | 1.26 (0.67–2.40) | 0.48 |
| Experience (senior) | 1.76 (1.01–3.13) | |
| COVID 19 patients in the same building | 1.81 (0.73–4.62) | 0.2 |
| COVID 19 patients in the department | 2.31 (1.20–4.65) | |
| High epidemic location | 1.3 (0.77–2.19) | 0.33 |
In bold: significant values.