| Literature DB >> 32967647 |
Faridah Amin1, Salman Sharif2, Rabeeya Saeed2, Noureen Durrani2, Daniyal Jilani2.
Abstract
BACKGROUND: COVID-19 is a global pandemic and has become a major public health burden worldwide. With already fragile healthcare systems it can have long lasting effects in developing countries. Outbreaks especially a pandemic situation evokes fear related behaviors among healthcare professionals and there is always an increased risk of mental health disorders. Therefore, this study aims to determine knowledge and perception about this pandemic, prevalence and factors associated with anxiety/depression among frontline physicians of Pakistan.Entities:
Keywords: Anxiety; COVID-19; Depression; Frontline physicians; Knowledge; Pakistan; Perception
Mesh:
Year: 2020 PMID: 32967647 PMCID: PMC7509498 DOI: 10.1186/s12888-020-02864-x
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Level of COVID-19 related knowledge among frontline physicians of Pakistan
| Consultants | Trainees | Total | ||
|---|---|---|---|---|
| Score of 4 | 29 (27.4) | 77 (72.6) | 106 (100) | 0.896 |
| Score of below 4 | 71 (25.1) | 212 (74.9) | 283 (100) | |
| Correct answer | 93 (27.1) | 250 (72.9) | 343 (100) | 0.083 |
| Incorrect answer | 7 (15.2) | 36 (84.8) | 46 (100) | |
| Correct answer | 97 (26.4) | 270 (73.6) | 367 (100) | 0.182 |
| Incorrect answer | 3 (13.6) | 19 (86.4) | 22 (100) | |
| Correct answer | 95 (26) | 271 (74) | 366 (100) | 0.654 |
| Incorrect answer | 5 (21.7) | 18 (78.3) | 23 (100) | |
| Low to moderate | 39 (23.1) | 130 (79.6) | 169 (100) | 0.298 |
| High | 61 (27.7) | 159 (72.3) | 220 (100) | |
Perception regarding the necessity of personal protective equipment in different care areas
| Patient care areas | Gloves | Surgical mask | N95 | Full-sleeves gown | Eye shield | PAPR |
|---|---|---|---|---|---|---|
| A | 312 (80.2) | 305 (78.4) | 124 (31.9) | 61 (15.7) | 76 (19.5) | 24 (6.2) |
| B | 344 (88.4) | 166 (42.7) | 350 (90) | 233 (59.9) | 233 (59.9) | 149 (38.3) |
| C | 346 (88.9) | 195 (50.1) | 334 (85.9) | 238 (61.2) | 220 (56.6) | 156 (40.1) |
| D | 318 (81.7) | 147 (37.8) | 311 (79.9) | 201 (51.7) | 176 (45.2) | 69 (17.7) |
| E | 316 (81.2) | 291 (74.8) | 129 (33.2) | 129 (33.2) | 89 (22.9) | 25 (6.4) |
| F | 344 (88.4) | 174 (44.7) | 330 (84.8) | 238 (61.2) | 221 (56.8) | 156 (40.1) |
| G | 339 (87.1) | 269 (69.2) | 211 (54.2) | 211 (54.2) | 151 (38.8) | 88 (22.6) |
| H | 332 (85.3) | 200 (51.4) | 292 (75.1) | 231 (59.4) | 183 (47) | 110 (28.3) |
A = General patients area, B = Aerosol generating procedures and while taking nasopharyngeal swab, C = Patient area of COVID + case or suspect, D = During physical examination of patient with respiratory syndrome, E = During physical examination of patient without respiratory syndrome, F = Direct care of COVID + case, G = Surgical procedure on an asymptomatic patient, H = emergency triage, PAPR = powered air purifying respirator
Distribution of participants’ characteristics and their univariable association with anxiety/depression
| Variables | Anxious/Depressed | Non-anxious/non-depressed | Total | Crude OR | |
|---|---|---|---|---|---|
| < 35 | 97 (49.7) | 98 (50.3) | 195 (100) | 1.79 (1.19–2.69) | **0.005 |
| ≥ 35 | 69 (35.6) | 125 (64.4) | 194 (100) | Ref | |
| Male | 84 (41.8) | 117 (58.2) | 201 (100) | Ref | |
| Female | 82 (43.6) | 106 (56.4) | 188 (100) | 1.07 (0.72–1.61) | 0.716 |
| Sindh | 79 (46.5) | 91 (53.5) | 170 (100) | 1.16 (0.70–1.95) | 0.562 |
| Punjab | 49 (37.7) | 81 (62.3) | 130 (100) | 0.81 (0.47–1.41) | 0.458 |
| KPK + AJK + Balochistan | 38 (42.7) | 51 (57.3) | 89 (100) | Ref | |
| Residents | 130 (45) | 159 (55) | 289 (100) | 1.45 (0.91–2.32) | 0.118 |
| Consultants | 36 (36) | 64 (64) | 100 (100) | Ref | |
| Public sector | 97 (46.6) | 111 (53.4) | 208 (100) | 1.42 (0.94–2.13) | 0.091 |
| Private sector | 69 (38.1) | 112 (61.9) | 181 (100) | Ref | |
| Emergency | 87 (59.2) | 60 (40.8) | 147 (100) | 3.50 (1.81–6.73) | ** < 0.001 |
| OPD | 50 (32.7) | 103 (67.3) | 153 (100) | 1.17 (0.61–2.26) | 0.639 |
| Ward | 12 (38.7) | 19 (61.3) | 31 (100) | 1.52 (0.61–3.81) | 0.369 |
| Other | 17 (29.3) | 41 (70.7) | 58 (100) | Ref | |
| ≤ 5% | 146 (42.6) | 197 (57.4) | 343 (100) | 0.96 (0.52–1.79) | 0.906 |
| > 5% | 20 (43.5) | 26 (56.5) | 46 (100) | Ref | |
| No | 59 (30.6) | 134 (69.4) | 193 (100) | Ref | |
| Yes | 107 (54.6) | 89 (45.4) | 196 (100) | 2.73 (1.80–4.14) | ** < 0.001 |
| ≤ 5 | 98 (36.7) | 169 (63.3) | 267 (100) | Ref | |
| > 5 | 68 (55.7) | 54 (44.3) | 122 (100) | 2.17 (1.41–3.36) | ** < 0.001 |
| ≤ 5 | 85 (32.7) | 175 (67.3) | 260 (100) | Ref | |
| > 5 | 81 (62.8) | 48 (37.2) | 129 (100) | 3.47 (2.24–5.40) | ** < 0.001 |
| ≤ 20 h | 62 (52.5) | 56 (47.5) | 118 (100) | 1.78 (1.15–2.75) | *0.010 |
| > 20 h | 104 (38.4) | 167 (61.6) | 271 (100) | Ref | |
| No | 8 (33.3) | 16 (66.7) | 24 (100) | Ref | |
| To some extent | 64 (35) | 119 (65) | 183 (100) | 1.08 (0.44–2.65) | 0.874 |
| Yes | 94 (51.6) | 88 (48.4) | 182 (100) | 2.14 (0.87–5.24) | 0.097 |
| No | 66 (45.2) | 80 (54.8) | 146 (100) | 1.02 (0.53–1.98) | 0.950 |
| To some extent | 79 (40.3) | 117 (59.7) | 196 (100) | 0.84 (0.44–1.59) | 0.584 |
| Yes | 21 (44.7) | 26 (55.3) | 47 (100) | Ref | |
| No | 59 (41.8) | 82 (58.2) | 141 (100) | Ref | |
| Yes | 107 (43.1) | 141 (56.9) | 248 (100) | 1.06 (0.69–1.60) | 0.803 |
| No | 101 (40.1) | 151 (59.9) | 252 (100) | Ref | |
| Yes | 65 (47.4) | 72 (52.6) | 137 (100) | 1.35 (0.89–2.05) | 0.161 |
| No | 70 (35.5) | 127 (64.5) | 197 (100) | Ref | |
| Yes | 96 (50) | 96 (50) | 192 (100) | 1.81 (1.21–2.72) | **0.004 |
| Moderate to low | 103 (60.9%) | 66 (39.1) | 169 (100) | 3.89 (2.54–5.96) | ** < 0.001 |
| High | 63 (28.6) | 157 (71.4) | 220 (100) | Ref | |
KPK khyber pakhtunkhwa, AJK Azad Jammu & Kashmir, Ref reference category set in logistic regression model, OR odd ratio, CI confidence interval
**significant at p < 0.01, * significant at p < 0.05
Association of factors with depression on final multivariable binary logistic regression model
| Adjusted OR | 95% CI | ||
|---|---|---|---|
| < 35 | 1.12 | 0.67–1.89 | 0.670 |
| ≥ 35 | Ref | ||
| Trainee | 1.43 | 0.79–2.56 | 0.236 |
| Consultant | Ref | ||
| Public sector | 1.21 | 0.75–1.97 | 0.432 |
| Private sector | Ref | ||
| Emergency | 1.86 | 0.87–3.97 | 0.111 |
| OPD | 1.07 | 0.53–2.18 | 0.854 |
| Ward | 1.08 | 0.38–3.06 | 0.880 |
| Other | Ref | ||
| ≤ 5 | Ref | ||
| > 5 | 2.73 | 1.65–4.52 | ** < 0.001 |
| ≤ 20 h | 2.11 | 1.27–3.49 | ** < 0.004 |
| > 20 h | Ref | ||
| Yes | 1.58 | 1.00–2.50 | *0.049 |
| No | Ref | ||
| Yes | 1.40 | 0.532–3.69 | 0.494 |
| To some extent | 0.89 | 0.34–2.34 | 0.891 |
| No | Ref | ||
| Moderate to low | 2.69 | 1.68–4.31 | ** < 0.001 |
| High | Ref | ||
Ref reference category, OR odds ratio, CI confidence interval
**significant at p < 0.01, *significant at p < 0.05