| Literature DB >> 32496223 |
Eman Al Sulais1, Mahmoud Mosli2, Turki AlAmeel3.
Abstract
Background/Aim: COVID-19 pandemic exposed physicians to extraordinary stress and made them vulnerable to various types of psychological illnesses. The aim of this study was to evaluate the impact that the COVID-19 pandemic had on the psychological well-being of physicians. Materials andEntities:
Keywords: COVID-19; physicians; psychological impact
Mesh:
Year: 2020 PMID: 32496223 PMCID: PMC7739997 DOI: 10.4103/sjg.SJG_174_20
Source DB: PubMed Journal: Saudi J Gastroenterol ISSN: 1319-3767 Impact factor: 2.485
Demographics and baseline characteristics of the study cohort
| Characteristic | No. (%) |
|---|---|
| Age, yrs | |
| 20-29 | 113 (21.30%) |
| 30-39 | 280 (52.90%) |
| 40-49 | 79 (14.90%) |
| 50-59 | 45 (8.50%) |
| 60 and older | 12 (2.30%) |
| Female Gender | 213 (59.20%) |
| Marital status | |
| Married | 402 (76.00%) |
| un-married | 127 (24.00%) |
| Having children | 366 (69.70%) |
| History of a similar major traumatic event prior to COVID-19 pandemic | 164 (31.24%) |
| History of psychiatric illness | 36 (6.81%) |
| Smoker | 96 (18.15%) |
| Workplace: | |
| COVID-19 designated center in high-risk area | 212 (40.08%) |
| e.g.: COVID-19 isolation ward, ICU and ER COVID-19 designated center in low-risk area | 159 (30.06%) |
| Center not affected by COVID-19 | 69 (13.04%) |
| Home-quarantined | 89 (16.82%) |
| Fully quarantined | 137 (25.90%) |
Responses of the study participants to questions focused on their experience, perception, and concerns with the COVID-19 pandemic
| Parameter | Number % |
|---|---|
| Duration of mass quarantine | Range: 6-88 |
| Understanding of rationale for quarantine | |
| It is not a necessary measure | 1 (0.73%) |
| Quarantine protects me | 2 (1.46%) |
| Quarantine protects community | 15 (10.95%) |
| Quarantine protect self, household and community | 119 (86.86%) |
| Compliance | |
| Compliant with all household protective measures | 8 (5.84%) |
| Compliant with all community protective measures | 18 (13.14%) |
| Compliant with all protective measures | 101 (73.72%) |
| None | 10 (7.30%) |
| Restriction of daily life activity: | |
| Isolation from family | 75 (55.15%) |
| Not leaving house to socialize | 64 (47.06%) |
| Not able to continue study/go to work | 37 (27.21%) |
| Not able to exercise and do sports | 64 (47.06%) |
| Purchasing food and clothing | 22 (16.18%) |
| None | 17 (12.50%) |
| Concerns regarding support: | |
| Income reduction | 21 (15.33%) |
| Inadequate supplies: e.g.: food, water. | 27 (19.71%) |
| Medical/nursing care | 40 (29.20%) |
| Social support | 53 (38.69%) |
| None | 27 (19.71%) |
| Information delivered by public health authorities: | |
| Effective communications from the government regarding quarantine's concept, rationale, and rules | 376 (71.08%) |
| Adequate daily information regarding the virus | 380 (71.83%) |
| Adequate information regarding the infection control measures | 286 (54.06%) |
| None | 17 (3.21%) |
| Information from social media | |
| I rely on it | 165 (31.19%) |
| I try to avoid it, it makes me anxious | 160 (30.25%) |
| I feel neutral | 204 (38.56%) |
| Training, protection and exposure risk | |
| I have adequate training to deal confidently with the current situation | 161 (30.43%) |
| I am provided with the protective equipment that I need | 192 (36.29%) |
| I believe that my job is putting me at a greater exposure risk | 277 (52.36%) |
| Because I want to help the COVID-19 patients, I am willing to accept the risks involved | 154 (29.11%) |
| I do not have adequate training | 172 (32.51%) |
| I am not provided with protective equipment | 105 (19.85%) |
| Workload and stress | |
| Workload increased during outbreak | 86 (16.38%) |
| I have to do work that normally I would not do | 80 (15.24%) |
| Both | 102 (19.43%) |
| None | 257 (48.95%) |
| Scrutiny process: | |
| It is a necessary measure. | 353 (66.73%) |
| It is not necessary; it makes me anxious. | 27 (5.1%) |
| Not applicable | 149 (28.17%) |
| Concerns regarding Stigma: | |
| I think people will avoid me because of my profession | 164 (31.00%) |
| I think people will avoid my family members because of my profession | 73 (13.80%) |
| I think people will avoid me because I had been quarantined | 37 (6.99%) |
| I think people will avoid my family members because we had been quarantined | 25 (4.73%) |
| None | 319 (60.30%) |
| The increase of smoking since COVID-19 pandemic | |
| Yes | 22 (22.92%) |
| No | 74 (77.08%) |
Reported dominating feelings by physicians during the pandemic using the Likert scale
| Feeling | Not at all No.(%) | Not really No.(%) | Undecided No.(%) | Somewhat No.(%) | Very much No.(%) |
|---|---|---|---|---|---|
| Boredom | 112 (21.17%) | 109 (20.60%) | 59 (11.15%) | 157 (29.68%) | 92 (17.39%) |
| Isolation | 75 (14.18%) | 107 (20.23%) | 46 (8.70%) | 183 (34.59%) | 118 (22.31%) |
| Frustration | 94 (17.77%) | 123 (23.25%) | 76 (14.37%) | 140 (26.47%) | 96 (18.15%) |
| Annoyance | 90 (17.01%) | 105 (19.85%) | 94 (17.77%) | 161 (30.43%) | 79 (14.93%) |
| Worry | 39 (7.37%) | 7 (13.42%) | 62 (11.72%) | 193 (36.48%) | 164 (31%) |
| Helplessness | 133 (25.14%) | 133 (25.14%) | 96 (18.15%) | 92 (17.39%) | 75 (14.18%) |
| Anger | 175 (33.08%) | 136 (25.71%) | 90 (17.01%) | 80 (15.12%) | 48 (9.07%) |
| Fear | 80 (15.12%) | 97 (18.34%) | 89 (16.82%) | 172 (32.51%) | 9 (17.2%) |
| Nervousness | 110 (20.79%) | 110 (20.79%) | 86 (16.26%) | 134 (25.33%) | 89 (16.82%) |
| Sadness | 122 (23.06%) | 110 (20.79%) | 85 (16.07%) | 138 (26.09%) | 74 (13.99%) |
| Guilt | 259 (48.96%) | 105 (19.85%) | 86 (16.26%) | 50 (9.45%) | 29 (5.48%) |
| Happiness | 271 (51.23%) | 110 (20.79%) | 95 (17.96%) | 48 (9.07%) | 5 (0.95%) |
| Relief | 286 (54.06%) | 117 (22.12%) | 85 (16.07%) | 35 (6.62%) | 6 (1.13%) |
Multiple regression analysis for predictors of the feelings of worry, isolation and fear
| Domain | Worry | Isolation | Fear | |||
|---|---|---|---|---|---|---|
| Parameter | OR | 95% CI, | OR | 95% CI, | OR | 95% CI, |
| Age group | 0.98 | 0.93-1.03, 0.46 | 0.68 | 0.43-1.05, 0.08* | 0.84 | 0.55-1.30, 0.45 |
| Gender | 2.87 | 1.23-6.69, 0.02 | 0.64 | 0.26-1.57, 0.33 | 2.96 | 1.20-7.27, 0.02 |
| Marital status | 0.73 | 0.20-2.66, 0.64 | 0.90 | 0.26-3.11, 0.87 | 0.60 | 0.17-2.16, 0.43 |
| Parenthood | 0.66 | 0.20-2.25, 0.51 | 0.47 | 0.14-1.59, 0.23 | 0.82 | 0.25-2.70, 0.74 |
| Previous similar trauma | 0.49 | 0.18-1.32, 0.16 | 1.07 | 0.42-2.70, 0.89 | 0.24 | 0.10-0.64, 0.004 |
| Psychiatric illness | 1.66 | 0.27-10.16, 0.58 | 0.63 | 0.10-4.00, 0.62 | 0.58 | 0.09-3.68, 0.57 |
| Duration of quarantine | 0.98 | 0.93-1.03, 0.46 | 0.97 | 0.93-1.02, 0.29 | 0.99 | 0.94-1.04, 0.23 |
| Work place | 1.07 | 0.79-1.43, 0.67 | 0.85 | 0.63-1.13, 0.25 | 1.17 | 0.88-1.54, 0.28 |
Age groups: 30-39: OR=0.69, 95% CI=0.25-1.85, P=0.46, 40-49: OR=1.83, 95% CI=0.31-10.88, P=0.50, 50-59: OR=0.28, 95% CI=0.05-1.62, P=0.16>60: OR=0.08, 95% CI=0.01-0.96, P=0.05
Factors identified by binary comparisons to be associated with compliance to protective measures
| Parameter | |
|---|---|
| Marital status | 0.48 |
| Having children | 0.04 |
| Smoking status | 0.86 |
| Similar trauma event | 0.65 |
| Psychiatric illness | 0.47 |
| Workplace in relation to COVID-19 exposure | 0.84 |