| Literature DB >> 33886501 |
Muhammad Sohaib Asghar1, Farah Yasmin1, Haris Alvi1, Syed Muhammad Ismail Shah2, Kashish Malhotra3, Syed Ali Farhan1, Syed Anosh Ali Naqvi4, Rabail Yaseen1, Saira Anwar1, Uzma Rasheed5.
Abstract
Health-care workers are on the front line to combat the peculiar coronavirus disease-19 (COVID-19) pandemic and are susceptible to acquiring this infection. This study is aimed at documenting the effect of "coronaphobia" on mental well-being and to report burnout among physicians. The study was conducted as a cross-sectional survey between November 17, 2020 and January 1, 2021 via a Google form distributed among the physicians of a tertiary care hospital, in Karachi, Pakistan. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) was used to assess the mental well-being of physicians. Burnout was documented by using the Maslach Burnout Inventory Human Services Survey for Medical Personnel. Eighty-seven physicians participated in the survey (mean age, 30.9 ± 7.3 years). The mean WEMWBS score of the study participants was 51.6 ± 10.8. Regarding the WEMWBS, emotional exhaustion was observed in 54% (N = 47) of participants, depersonalization in 77% (N = 67), and low personal accomplishment was reported in 31% (N = 27) of participants. The results of the survey further highlight that depersonalization, emotional exhaustion, and low personal accomplishment were associated significantly with a history of COVID-19 infection and COVID-19 postings. Hence, immediate measures are required to reduce the burnout among physicians while battling the second wave of the pandemic.Entities:
Mesh:
Year: 2021 PMID: 33886501 PMCID: PMC8176473 DOI: 10.4269/ajtmh.21-0141
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Descriptive statistics of the study participants (N = 87)
| Effect modifier | % | |
|---|---|---|
| Gender | ||
| Male | 40 | 46.0 |
| Female | 47 | 54.0 |
| Designation | ||
| Consultant | 18 | 20.7 |
| Resident | 43 | 49.4 |
| Intern | 26 | 29.9 |
| Posted in COVID units | ||
| Yes | 52 | 59.8 |
| No | 35 | 40.2 |
| Been infected with COVID | ||
| Yes | 22 | 25.3 |
| No | 65 | 74.7 |
| Relationship status | ||
| Single | 42 | 48.3 |
| Married | 45 | 51.7 |
COVID = coronavirus disease. Mean age of study participants, 30.87 ± 7.34 years.
Warwick–Edinburgh Mental Well-being Scale scores of the study participants with respect to the effect modifiers
| Effect modifier | Mean score ± SD | |
|---|---|---|
| Gender | 51.63 ± 10.79 | |
| Male | 49.17 ± 11.75 | 0.054 |
| Female | 53.72 ± 9.53 | |
| Designation | ||
| Consultant | 60.05 ± 3.68 | 0.009 |
| Resident | 48.44 ± 10.27 | |
| Intern | 51.07 ± 12.04 | |
| COVID-19 unit postings | ||
| Yes | 49.07 ± 12.18 | 0.006 |
| No | 55.42 ± 6.87 | |
| History of COVID-19 infection | ||
| Yes | 38.54 ± 8.37 | 0.001 |
| No | 56.06 ± 7.39 | |
| Relationship status | ||
| Single | 47.83 ± 10.76 | 0.001 |
| Married | 55.17 ± 9.64 | |
COVID-19 = coronavirus disease 19.
Independent sample t-test used to compute the P value.
One-way analysis of variance to compute the P value.
Figure 1.Categorization of Maslach Burnout Inventory Human Services Survey for Medical Personnel scores among the study population (N = 87). This figure appears in color at www.ajtmh.org.
Maslach Burnout Inventory Human Services Survey for Medical Personnel scores of the study participants with respect to the effect modifiers
| Effect modifier | Mean score ± SD | |
| Emotional exhaustion | 25.29 ± 12.51 | – |
| Male | 25.52 ± 11.89 | 0.877 |
| Female | 25.10 ± 13.14 | |
| Consultant | 25.29 ± 12.51 | 0.002 |
| Resident | 33.23 ± 9.78 | |
| Intern | 11.44 ± 3.97 | |
| Worked in COVID unit | 30.90 ± 10.11 | < 0.001 |
| Not worked in COVID unit | 16.97 ± 11.09 | |
| Infected with COVID | 34.27 ± 8.41 | < 0.001 |
| Not infected with COVID | 22.26 ± 12.25 | |
| Single | 28.38 ± 11.32 | 0.026 |
| Married | 22.42 ± 12.99 | |
| Depersonalization | 16.13 ± 5.63 | – |
| Male | 16.40 ± 5.84 | 0.691 |
| Female | 15.91 ± 5.50 | |
| Consultant | 15.66 ± 1.64 | < 0.001 |
| Resident | 18.93 ± 4.87 | |
| Intern | 11.84 ± 5.89 | |
| Worked in COVID unit | 19.07 ± 3.21 | < 0.001 |
| Not worked in COVID unit | 11.77 ± 5.64 | |
| Infected with COVID | 20.90 ± 3.27 | < 0.001 |
| Not infected with COVID | 14.52 ± 5.35 | |
| Single | 15.97 ± 6.26 | 0.798 |
| Married | 16.28 ± 5.03 | |
| Personal accomplishment | 33.40 ± 7.03 | – |
| Male | 31.80 ± 7.91 | 0.055 |
| Female | 34.76 ± 5.92 | |
| Consultant | 37.61 ± 3.27 | 0.015 |
| Resident | 32.18 ± 6.23 | |
| Intern | 32.50 ± 9.02 | |
| Worked in COVID unit | 31.88 ± 6.48 | 0.016 |
| Not worked in COVID unit | 35.65 ± 7.29 | |
| Infected with COVID | 25.09 ± 4.43 | < 0.001 |
| Not infected with COVID | 36.21 ± 5.30 | |
| Single | 31.21 ± 7.87 | 0.005 |
| Married | 35.44 ± 5.47 |
COVID = coronavirus disease.
Independent sample t-test used to compute the P value
One-way analysis of variance to compute the P value.
Correlation of mean Warwick–Edinburgh Mental Well-being Scale scores with the categorization of the Maslach Burnout Inventory Human Services Survey for Medical Personnel
| Determinants | Correlation coefficient for mean WEMWBS scores | |
|---|---|---|
| Emotional exhaustion | –0.671 | < 0.001 |
| Depersonalization | –0.300 | 0.005 |
| Personal accomplishment | 0.791 | < 0.001 |
WEMWBS = Warwick–Edinburgh Mental Well-being Scale
Spearman’s correlation used to compute the P value.