| Literature DB >> 33394181 |
Radwa Sehsah1, Mohammed Hassan Gaballah2, Abdel-Hady El-Gilany3, Ahmed A Albadry4.
Abstract
OBJECTIVE: The current study's main objective was to measure the prevalence of psychological distress and its associated factors among Egyptian physicians during the COVID-19 pandemic. Perceived stressors and coping strategies were also explored.Entities:
Keywords: COVID-19; Pandemic; Physicians; Psychological distress
Mesh:
Year: 2021 PMID: 33394181 PMCID: PMC7780591 DOI: 10.1007/s00420-020-01624-4
Source DB: PubMed Journal: Int Arch Occup Environ Health ISSN: 0340-0131 Impact factor: 3.015
Sociodemographic and occupational factors associated with severe psychological distress among study participants
| Factors | Total | Severe distress | ||
|---|---|---|---|---|
| COR (95% CI) | ||||
| Overall | 714 | 345 (48.3) | ||
| Age (years) | ||||
| < 40 | 462 | 254 (55.0) | ≤ 0.001 | 2.2 (1.6–3.0) |
| ≥ 40 | 252 | 91 (36.1) | ||
| Gender | ||||
| Male | 405 | 179 (44.2) | 0.012 | |
| Female | 309 | 166 (53.7) | 1.5 (1.1–2.0) | |
| Current marital status | ||||
| Married | 587 | 274 (46.7) | 0.06 | |
| Unmarried | 127 | 71 (55.9) | 1.4 (0.98–2.1) | |
| Highest educational degree: | ||||
| M.B.B.Ch | 89 | 60 (67.4) | ≤ 0.001 | 2.6 (1.6–4.4) |
| Diploma/M.Sc. | 390 | 181 (46.4) | 0.6 | 1.1 (0.8–1.5) |
| MD/Ph.D./Fellowship/Board | 235 | 104 (44.3) | ||
| Having children | ||||
| Yes | 579 | 265 (45.8) | 0.005 | |
| No | 135 | 80 (59.3) | 1.7 (1.2–2.5) | |
| Have chronic diseases | ||||
| Yes | 158 | 88 (55.7) | 0.035 | 1.5 (1.03–2.1) |
| No | 556 | 257 (46.2) | ||
| Country of work | ||||
| Egypt | 426 | 231 (54.1) | ≤ 0.001 | 1.8 (1.3–2.4) |
| Other countriesa | 288 | 114 (39.6) | ||
| Specialty | ||||
| General medicine | 41 | 21 (51.2) | 0.8 | 1.1 (0.5–2.3) |
| Pediatrics | 94 | 47 (50.0) | 0.8 | 1.1 (0.6–1.9) |
| Special medicine | 143 | 74 (51.7) | 0.6 | 1.1 (0.7–1.9) |
| Critical care/emergency | 99 | 52 (52.5) | 0.6 | 1.2 (07–2.1) |
| OB/GYN | 48 | 23 (47.9) | 0.9 | 0.98 (0.5–1.9) |
| Surgery | 128 | 54 (42.2) | 0.3 | 0.8 (0.5–1.3) |
| Diagnostic medicine | 62 | 26 (41.9) | 0.4 | 0.8 (0.4–1.5) |
| Family/community medicine/general practice | 99 | 48 (48.5) | ||
| Work duration (years) | ||||
| < 15 | 429 | 239 (55.7) | ≤ 0.001 | 2.1 (1.6–2.9) |
| ≥ 15 | 285 | 106 (37.2) | ||
| Place of work | ||||
| Only private clinic | 134 | 57 (42.5) | ||
| University hospital | 115 | 55 (47.8) | 0.4 | 1.2 (0.8–2.0) |
| Governmental hospital | 365 | 179 (49.0) | 0.2 | 1.3 (0.8–1.9) |
| PHC | 56 | 31 (55.4) | 0.1 | 1.7 (0.9–3.1) |
| Othersb | 44 | 23 (52.3) | 0.3 | 1.5 (0.7–2.9) |
| Private clinic | ||||
| Yes | 229 | 103 (45.0) | 0.2 | |
| No | 485 | 242 (49.9) | 1.2 (0.9–1.7) | |
| PPE at the workplace | ||||
| All available and used | 167 | 93 (55.7) | ||
| Some available and used | 476 | 221 (46.4) | 0.7 | 1.1 (0.7–1.8) |
| Not available/available and not used | 71 | 31 (43.7) | 0.1 | 1.6 (0.9–2.8) |
M.B.B.Ch bachelor degree, CI confidence interval, COR crude odds ratio, M.Sc. master degree, MD medical doctorate, OB/GYN obstetrics and gynecology, PHC primary health care, Ph.D. philosophical doctorate, PPE personal protective equipment, r reference
a6 in non-Arab countries
bHealth insurance, military, special companies, non-governmental hospitals
COVID-19 related social and behavioral factors associated with severe psychological distress among study participants
| Factors | Total | Severe distress | ||
|---|---|---|---|---|
| COR (95% CI) | ||||
| Living with an elderly family member | ||||
| Yes | 364 | 197 (54.1) | 0.002 | 1.6 (1.2–2.2) |
| No | 350 | 148 (42.3) | ||
| Involved in direct COVID-19 patient care | ||||
| Yes | 372 | 207 (55.6) | ≤ 0.001 | 1.9 (1.4–2.5) |
| No | 342 | 138 (40.4) | ||
| Close contact with COVID-19 positive outside work | ||||
| Yes | 127 | 77 (60.6) | 0.002 | 1.8 (1.2–2.7) |
| No | 587 | 268 (45.7) | ||
| A suspected/confirmed COVID-19 case | ||||
| Yes | 220 | 123 (55.9) | 0.007 | 1.6 (1.1–2.1) |
| No | 494 | 222 (44.0) | ||
| Was home isolated/quarantined | ||||
| Yes | 175 | 91 (52.0) | 0.3 | 1.2 (0.9–1.7) |
| No | 539 | 254 (47.1) | ||
| Previous training in COVID-19 prevention and control | ||||
| Yes | 255 | 113 (44.3) | 0.11 | |
| No | 459 | 232 (50.5) | 1.3 (0.9–1.7) | |
| The Brief Resilience Coping Scale | ||||
| Low resilient copers | 332 | 193 (58.1) | ≤ 0.001 | 2.4 (1.6–3.8) |
| Medium resilient copers | 266 | 110 (41.4) | 0.3 | 1.2 (0.8–1.9) |
| High resilient copers | 116 | 42 (36.2) | ||
CI confidence interval, COR crude odds ratio
Multivariate logistic regression analysis of independent predictors of severe psychological distress among study participants
| Factors | AOR (95% CI) | ||
|---|---|---|---|
| Gender | |||
| Male | – | 0.002 | |
| Female | 0.5 | 1.6 (1.2–2.2) | |
| Have chronic diseases | |||
| Yes | 0.44 | 0.021 | 1.6 (1.1–2.3) |
| No | – | ||
| Living with an elderly family member | |||
| Yes | 0.3 | 0.031 | 1.4 (1.01–1.9) |
| No | – | ||
| Was close contact with COVID-19 positive outside work | |||
| Yes | 0.5 | 0.015 | 1.7 (1.1–2.5) |
| No | – | ||
| Work duration (years) | |||
| < 15 | 0.7 | ≤ 0.001 | 2.0 (1.4–2.7) |
| ≥ 15 | – | ||
| Involved in direct COVID-19 patient care | |||
| Yes | 0.6 | ≤ 0.001 | 1.8 (1.3–2.4) |
| No | – | ||
| Constant | − 1.36 | ||
| Model | 63.1; | ||
| % Correctly predicted | 61.3% | ||
AOR adjusted odds ratio, CI confidence interval
Self-reported severity of potential stressors and degree of effectiveness of selected coping strategies of studied physicians
| Potential stressors | Self-reported severity [ | |||
|---|---|---|---|---|
| No | Mild | Moderate | High | |
| I could transmit COVID-19 to my family or friends | 25 (3.5) | 67 (9.4) | 202 (28.3) | 420 (58.8) |
| I could get COVID-19 infection because of my profession | 14 (2.0) | 80 (11.2) | 252 (35.3) | 368 (51.5) |
| COVID-19 pandemic control time not determined till now | 16 (2.2) | 75 (10.5) | 288 (40.3) | 335 (46.9) |
| Small mistake or lapse in concentration could infect me or others | 15 (2.1) | 85 (11.9) | 303 (42.4) | 311 (43.6) |
| Shortage of staff at times | 50 (7.0) | 112 (15.7) | 250 (35.0) | 302 (42.3) |
| Colleagues displaying COVID-19 like symptoms | 19 (2.7) | 92 (12.9) | 319 (44.7) | 287 (39.8) |
| I feel there are no available adequate protective measures | 64 (9.0) | 135 (18.9) | 259 (36.3) | 256 (35.9) |
| Getting screened for COVID-19 infection after exposure | 65 (9.1) | 144 (20.2) | 258 (36.1) | 24 (34.6) |
| I have to wear protective gear daily | 44 (6.2) | 157 (22.0) | 284 (39.8) | 229 (32.1) |