| Literature DB >> 36225429 |
Muhammad H Chatha1, Sanaa A Khan1, Wajahat Nazir Ahmed1, Ahsun Khan2, Muhammad Abu Bakar3, Muhammad Asif4.
Abstract
Introduction The last months of 2019 saw the emergence of a novel coronavirus, SARS-COV-2, capable of causing widespread disease in humans. The rapid spread of this new disease culminated in one of the biggest pandemics in known history. The far-reaching social, economical, and health effects of this pandemic are still unfolding on a global scale. Given the interconnectedness of social, environmental, and biological factors in manifesting psychiatric illnesses, it is fair to assume that the profound effects of this pandemic would likely increase the strain on mental healthcare systems. The objective of this study was to assess the mental health burden amongst healthcare workers at Shaukat Khanum Memorial Cancer Hospital and Research Center (SKMCH & RC) at the start of the COVID-19 pandemic and to identify any differences in the mental health scores of anxiety, depression, and sleep disturbance for professionals directly involved in the care of COVID-19 patients as compared to those who were not. Material and methods This was an observational cross-sectional clinical study that used self-reported questionnaires after approval from the hospital's ethical board. The sample size was calculated based on a study published previously by Huang using a 23.04% incidence of anxiety in medical staff. Depression was quantified using the Patient Health Questionnaire-9 score (PHQ-9), anxiety by the Beck Anxiety Inventory, and sleep quality using the Pittsburgh Sleep Quality Index checklist (PSQI). A total of 221 healthcare workers who completed the questionnaires were included in the study and the results were analyzed using SPSS Statistics v. 23 (IBM Corp., Armonk, NY). Levene's test was used to assess the equality of variances, and an independent sample t-test and chi-square test were applied for the comparison of means. A one-way ANOVA test was used to compare means across more than two groups. Results Of the 221 healthcare workers recruited in the study, 57% were males, and 43% were females. Among the sample, 43% of participants were doctors, 27.1% were nurses, and others were technicians and medical assistants. It was observed that 50% of males and 36% of female healthcare workers experienced moderate to severe depression at the onset of the pandemic. Furthermore, 35% of males and 25% of females suffered from moderate to severe anxiety, and more than 80% of our study population reported poor quality of sleep. Conclusion The present study reported a high prevalence of anxiety levels, depressive symptoms, and poor sleep quality among the healthcare professionals working in SKMCH & RC Lahore during the COVID-19 pandemic irrespective of direct contact with COVID-19 patients in a healthcare setting.Entities:
Keywords: covid-19 outbreak; depression ; healthcare provider; mood and anxiety; sleep problems
Year: 2022 PMID: 36225429 PMCID: PMC9537748 DOI: 10.7759/cureus.28869
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Demographic characteristics
PKR: Pakistani rupee
| Demographic characteristics | ||
| Variables | Count (%) | |
| Total surveyed | 221 (100) | |
| Gender | Male | 126 (57) |
| Female | 95 (43) | |
| Profession | Doctor | 95 (43) |
| Assistant | 11 (5) | |
| Nurse | 60 (27.1) | |
| Technician | 55 (24.9) | |
| Marital status | Divorced | 1 (0.5) |
| Married | 117 (52.9) | |
| Single | 103 (46.6) | |
| Direct contact | No | 43 (19.5) |
| Yes | 178 (80.5) | |
| Salary bracket | Less than 50,000 PKR | 76 (34.4) |
| 50,000-100,000 PKR | 104 (47.1) | |
| 100,000-200,000 PKR | 26 (11.8) | |
| More than 200,000 PKR | 15 (6.8) | |
| Education | Up to intermediate levels | 14 (6.3) |
| Under-graduate | 33 (14.9) | |
| Post-graduate | 174 (78.7) | |
PHQ-9, BAI, and PSQI mean scores during the COVID-19 outbreak in Pakistan
PHQ-9: Patient Health Questionnaire-9; BAI: Beck Anxiety Inventory; PSQI: Pittsburgh Sleep Quality Index; PKR: Pakistani rupee
| PHQ-9, BAI, and PSQI mean scores during the COVID-19 outbreak in Pakistan | |||
| Variables | PHQ-9 | BAI | PSQI |
| Overall mean | 8.98 | 16.43 | 7.99 |
| Stratified by gender (independent t-test) | |||
| Male | 9.42 | 17.31 | 7.98 |
| Female | 8.41 | 15.25 | 8.01 |
| Stratified by profession (one-way analysis of variance) | |||
| Doctor | 8.23 ± 6.9 | 14.93 ± 16.5 | 8.07 ± 3.6 |
| Assistant | 11.55 ± 4.9 | 21.55 ± 14.2 | 8.27 ± 3.7 |
| Nurse | 9.97 ± 7.3 | 18.88 ± 15.6 | 8.25 ± 3.7 |
| Technician | 8.53 ± 6.6 | 15.31 ± 13.7 | 7.51 ± 3.7 |
| Stratified by direct contact with COVID-19 Patients (Independent t-test) | |||
| No | 8.81 | 15.88 | 7.28 |
| Yes | 9.02 | 16.56 | 8.16 |
| Stratified by monthly salary bracket (one-way analysis of variance) | |||
| <50,000 PKR | 8.32 ± 6.8 | 15.61 ± 14.3 | 7.42 ± 3.9 |
| 50,000-100,000 PKR | 9.98 ± 6.4 | 17.59 ± 15.3 | 8.59 ± 3.4 |
| 100,000-200,000 PKR | 8.35 ± 7.1 | 18.42 ± 19.3 | 8.35 ± 3.9 |
| >200,000 PKR | 6.47 ± 8.4 | 9.07 ± 13.4 | 6.20 ± 2.7 |
Demographic details
| Age | |
| Gender | |
| Profession | |
| Marital status | |
| Direct contact to COVID-19 | |
| Diagnosed pre-existing mental health condition | |
| Exempt from attending duties in hospital | |
| Education level (select one) | High school, college, undergraduate, Post-graduate |
| Salary per month | < 50,000 50,000-100,000 100,000-200,000 200,000-300,000 300,000-400,000 400,000-500,000 > 500,000 |
Prevalence of anxiety levels in healthcare professionals of Pakistan during the COVID-19 outbreak
PKR: Pakistani rupee
| Prevalence of anxiety levels in healthcare professionals of Pakistan during the COVID-19 outbreak | |||
| Variables | High Anxiety | Low Anxiety | Moderate Anxiety |
| Gender (Sig. 2-sided: 0.354) (chi-square test) | |||
| Male | 20.63% | 65.87% | 13.49% |
| Female | 15.79% | 74.74% | 9.47% |
| Profession (Sig. 2-sided: 0.28) (chi-square test) | |||
| Doctor | 21.05% | 71.58% | 7.37% |
| Assistant | 18.18% | 54.55% | 27.27% |
| Nurse | 21.67% | 65.00% | 13.33% |
| Technician | 10.91% | 74.55% | 14.55% |
| Direct contact with COVID-19 patients (Sig. 2-sided: 0.645) (chi-square test) | |||
| No | 23.26% | 67.44% | 9.30% |
| Yes | 17.42% | 70.22% | 12.36% |
| Salary brackets in PKR (Sig. 2-sided: 0.547) (chi-square test) | |||
| <50,000 | 14.47% | 71.05% | 14.47% |
| 50,000-100,000 | 21.15% | 68.27% | 10.58% |
| 100,000-200,000 | 26.92% | 61.54% | 11.54% |
| >200,000 | 6.67% | 86.67% | 6.67% |
| Total | 18.55% | 69.68% | 11.76% |
Assessment of sleep quality in healthcare professionals of Pakistan during the COVID-19 outbreak
PKR: Pakistani rupee
| Table | ||
| Variables | Good sleep quality | Poor sleep quality |
| Gender (Sig. 2-sided: 0.945) (chi-square test) | ||
| Male | 18.25% | 81.75% |
| Female | 17.89% | 82.11% |
| Profession (Sig. 2-sided: 0.733) (chi-square test) | ||
| Doctor | 20.00% | 80.00% |
| Assistants | 18.18% | 81.82% |
| Nurse | 13.33% | 86.67% |
| Technician | 20.00% | 80.00% |
| Direct contact with COVID-19 patients (Sig. 2-sided: 0.328) (chi-square test) | ||
| No | 23.26% | 76.74% |
| Yes | 16.85% | 83.15% |
| Salary brackets in PKR (Sig. 2-sided: 0.099) (chi-square test) | ||
| <50,000 | 23.68% | 76.32% |
| 50,000-100,000 | 13.46% | 86.54% |
| 100,000-200,000 | 11.54% | 88.46% |
| >200,000 | 33.33% | 66.67% |
| Total | 18.10% | 81.90% |
Prevalence of depressive symptoms in healthcare professionals of Pakistan during the COVID-19 outbreak
PKR: Pakistani rupee
| Prevalence of depressive symptoms in healthcare professionals of Pakistan during the COVID-19 outbreak | |||||
| Variables | Mild | Minimal | Moderate | Moderately Severe | Severe |
| Gender (Sig. 2-sided: 0.016) (chi-square test) | |||||
| Male | 18.25% | 30.95% | 23.81% | 20.63% | 6.35% |
| Female | 29.47% | 34.74% | 7.37% | 22.11% | 6.32% |
| Profession (Sig. 2-sided: 0.248) (chi-square test) | |||||
| Doctor | 28.42% | 34.74% | 9.47% | 22.11% | 5.26% |
| Assistant | 18.18% | 9.09% | 36.36% | 36.36% | 0.00% |
| Nurse | 20.00% | 28.33% | 21.67% | 21.67% | 8.33% |
| Technician | 18.18% | 38.18% | 20.00% | 16.36% | 7.27% |
| Direct contact with COVID-19 patients (Sig. 2-sided: 0.508) (chi-square test) | |||||
| No | 16.28% | 37.21% | 20.93% | 16.28% | 9.30% |
| Yes | 24.72% | 31.46% | 15.73% | 22.47% | 5.62% |
| Salary brackets in PKR (Sig. 2-sided: 0.034) (chi-square test) | |||||
| <50,000 | 21.05% | 38.16% | 19.74% | 14.47% | 6.58% |
| 50,000-100,000 | 28.85% | 21.15% | 18.27% | 26.92% | 4.81% |
| 100,000-200,000 | 15.38% | 46.15% | 3.85% | 23.08% | 11.54% |
| >200,000 | 6.67% | 60.00% | 13.33% | 13.33% | 6.67% |
| Total | 23.08% | 32.58% | 16.74% | 21.27% | 6.33% |