| Literature DB >> 35447507 |
Ariel Frajerman1, Romain Colle2, Franz Hozer3, Eric Deflesselle4, Samuel Rotenberg2, Kenneth Chappell5, Emmanuelle Corruble2, Jean-François Costemale-Lacoste5.
Abstract
BACKGROUND: Outpatient physicians in private practice, as inpatient physicians, are on the frontline of the COVID-19 pandemic. Mental-health consequences of the pandemic on hospital staff have been published, but the psychological distress among outpatient physicians in private practice due to COVID-19 has never been specifically assessed.Entities:
Keywords: Covid-19; Lockdown; Mental health; Outpatient physicians; Private practice
Mesh:
Year: 2022 PMID: 35447507 PMCID: PMC9002100 DOI: 10.1016/j.jpsychires.2022.04.003
Source DB: PubMed Journal: J Psychiatr Res ISSN: 0022-3956 Impact factor: 5.250
Fig. 1ESTEEM study Flow chart.
Sociodemographic and work condition characteristics associated with psychological distress linked to COVID-19.
| Total prevalence | Psychological distress linked to COVID-19 (n = 1,529) | Psychological distress linked to COVID-19 (n = 463) | Psychological distress linked to COVID-19 (n = 1,529) | Total prevalence | p value | Adjusted Odds-ratio | p value | ||
|---|---|---|---|---|---|---|---|---|---|
| Women n(%) | 1,152 (57.9) | 904 (59.1) | 248 (54) | 904 (59.1) | 1,152 (57.9) | 0.053 | 1.22 [0.99; 1.51] | 0.060 | |
| Age Range n(%) | 20–30 years | 29 (1.9) | 42 (2.1) | 13 (2.8) | 29 (1.9) | 42 (2.1) | 0.98[0.99; 1.51] | 0.6 | |
| 31–40 years | 480 (31.4) | 597 (30) | 117 (25.3) | 480 (31.4) | 597 (30) | ||||
| 41–50 years | 370 (24.2) | 499 (25.1) | 129 (27.9) | 370 (24.2) | 499 (25.1) | ||||
| 51–60 years | 261 (17.1) | 354 (17.8) | 93 (20.0) | 261 (17.1) | 354 (17.8) | ||||
| >60 years | 389 (25.4) | 500 (25.1) | 111 (24.0) | 389 (25.4) | 500 (25.1) | ||||
| Not employee n(%) | 1,695 (85.3) | 1,306 (85.4) | 389 (84.7) | 1,306 (85.4) | 1,695 (85.3) | – | – | – | |
| Employee n(%) | 12 (0.6) | 7 (0.5) | 5 (1.1) | 7 (0.5) | 12 (0.6) | 0.138 | 0.45 [0.14; 1.43] | 0.175 | |
| Mixed activity n(%) | 281 (14.1) | 216 (14.1) | 65 (14.2) | 216 (14.1) | 281 (14.1) | 0.851 | 0.99 [0.85; 1.14] | 0.848 | |
| Work alone n(%) | 731 (36.8) | 551 (36.0) | 180 (39.2) | 551 (36.0) | 731 (36.8) | 0.216 | 1.14 [0.91; 1.42] | 0.247 | |
| No assistant n(%) | 770 (38.7) | 601 (39.3) | 169 (36.8) | 601 (39.3) | 770 (38.7) | 0.337 | 1.09 [0.89; 1.36] | 0.432 | |
| General practitioners n(%) | 952 (47.9) | 764 (50.0) | 188 (41.0) | 764 (50.0) | 952 (47.9) | ||||
Mixed activity = time shared between not employee and employee work.
Bold: significant p value < 0.05.
Bivariate analyses.
Multivariate logistic regression.
adjusted on age and gender.
Mental health of physicians with and without declared psychological distress linked to COVID-19.
| No psychological distress linked to COVID-19 (n = 463) | Psychological distress linked to COVID-19 (n = 1529) | Bivariate Odds-ratio [95%CI] | p value | Model 1: Adjusted Odds-ratio AOR [95%CI] | p value | Model 2: Adjusted Odds-ratio AOR[95%CI] | p value | |
|---|---|---|---|---|---|---|---|---|
| Declared stress linked to work n(%) | 204 (44.4) | 1,164 (76.1) | ||||||
| Sick leave (12 months) due to stress linked to work n(%) | 6 (1.3) | 38 (2.5) | 1.92 [0.81; 4.58] | 0.139 | 1.84 [0.77; 4.39] | 0.169 | 1.863 [0.78; 4.45] | p = 0.845 |
| Taking psychotropic drugs (12 months) due to stress linked to work n(%) | 50 (10.9) | 267 (17.5) | ||||||
| Increasing consumption of alcohol or tobacco due to stress linked to work n(%) | 37 (8.1) | 247 (16.2) | ||||||
| Taking illegal drugs (12 months) due to stress linked to work n(%) | 4 (0.9) | 13 (0.9) | 0.98 [0.32; 3.01] | 0.965 | 1.03 [0.33; 3.19] | 0.959 | 1.06 [0.34; 3.31] | p = 0.911 |
| Burnout n(%) | 252 (54.9) | 1,168 (76.4) | ||||||
| Work-related burnout n(%) | 227 (49.5) | 1099 (71.9) | ||||||
| Personal burnout n(%) | 194 (42.3) | 991 (64.8) | ||||||
| Patient-related burnout n(%) | 126 (27.5) | 659 (43.1) | ||||||
| Insomnia n(%) | 182 (39.7) | 729 (47.7) | ||||||
| Depressive symptoms n(%) | 88 (19.2) | 443 (29.0) | ||||||
| Anxiety symptoms n(%) | 195 (42.5) | 976 (63.8) |
Model 1: multivariate logistic regression adjusted for age and sex.
Model 2: multivariate logistic regression adjusted for age, sex and the work condition (alone or in group, with or without medical assistant and as employee or not).
Bivariate analyses.
Fig. 2Prevalence of psychiatric symptoms in physicians with or without declared psychological distress linked to COVID-19.