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Prevalence, risk factors and sources of anxiety among Emergency Department healthcare workers in Pakistan during COVID-19 pandemic: A single center survey

Subject: Psychology and Psychiatry

Published online by Cambridge University Press:  08 January 2021

N. Haroon
Affiliation:
Emergency Department, Shifa International Hospital Ltd., Shifa Tameer-i-Millat University, H-8/4, Islamabad, Pakistan
S. S. Owais*
Affiliation:
Emergency Department, Shifa International Hospital Ltd., Shifa Tameer-i-Millat University, H-8/4, Islamabad, Pakistan
A. S. Khan
Affiliation:
Emergency Department, Shifa International Hospital Ltd., Shifa Tameer-i-Millat University, H-8/4, Islamabad, Pakistan
J. Amin
Affiliation:
Emergency Department, Shifa International Hospital Ltd., Shifa Tameer-i-Millat University, H-8/4, Islamabad, Pakistan
*
*Corresponding author: E-mail: [email protected]

Summary

COVID-19 has challenged the mental health of healthcare workers confronting it world-wide. Our study identifies the prevalence and risk of anxiety among emergency healthcare workers confronting COVID-19 in Pakistan. We conducted a cross-sectional survey in an Emergency Department using the Generalized Anxiety Scale (GAD-7), and questions about sources of anxiety. Of 107 participants, 61.7% were frontline workers. The prevalence of anxiety was 50.5%. Nonparametric tests determined that nurses, younger and inexperienced staff, developed significant anxiety. Multivariate ordinal regression determined independent risk factors for developing anxiety were younger age (OR 2.11, 95% CI 0.89–4.99) and frontline placement (OR 1.34, 95% CI 0.33–1.66). Significant sources of stress were fear of infecting family (P = 0.003), lack of social support when the health care providers were themselves unwell (P = 0.02) and feelings of inadequate work performance (P = 0.05). Our study finds that HCWs’ anxiety is considerable. Appropriate measures for its alleviation and prevention are required.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2020. Published by Cambridge University Press

1. Introduction

Since December 2019, the world is facing the novel coronavirus disease 2019 (COVID-19). The rapid disease transmission, increasing influx of infected persons and subsequent fatalities has led to tremendous panic. An early investigation into the psychological response among the general population of China showed that 53.8% of participants rated the psychological impact of this outbreak as moderate or severe (Elbay et al., Reference Elbay, Kurtulmuş, Arpacıoğlu and Karadere2020). The disease is highly infectious, primarily spreads through respiratory droplets and contact routes (World Health Organization, 2020), and can rapidly lead to deterioration in health. Empirical clinical data shows that the overall case fatality rate is 2.3% (Zhong et al., Reference Zhong, Luo, Li, Zhang, Liu, Li and Li2020).

COVID-19 has challenged all nations in several dimensions, among which is the mental health of medical staff (Spoorthy et al., Reference Spoorthy, Pratapa and Mahant2020). Health care workers (HCWs) on the frontline are directly at risk of developing symptoms of psychological distress. The Centers for Disease Control and Prevention (CDC) warn HCWs about feelings of uncertainty, being overwhelmed, lacking motivation and having trouble sleeping or concentrating (Centers for Disease Control and Prevention, n.d.). The deluge of new cases, depletion of personal protection equipment, lack of definitive treatment, variable management guidelines, and inadequate social support, all contribute to the mental burden of HCWs. Fear of the contagion, infection of family and colleagues, and feelings of stigmatization lead to reluctance to work and high levels of stress, anxiety, and depression, among some of the psychological implications (Lai et al., Reference Lai, Ma, Wang, Cai, Hu, Wei, Wu, Du, Chen, Li, Tan, Kang, Yao, Huang, Wang, Wang, Liu and Hu2020).

2. Objectives

Pakistan has rarely addressed the mental health of its health care providers not withstanding this pandemic, with only one study on this subject (Sandesh et al., Reference Sandesh, Shahid, Dev, Mandhan, Shankar, Shaikh and Rizwan2020). Since Pakistan’s first case reported on 26 February, the total number of cases stands at 296,149 as of 31 August 2020 (Government of Pakistan, n.d.). This propagation in an already resource-poor country has placed tremendous physical and psychological pressure on its HCWs. Epidemiological data on the mental health consequences of COVID-19 and their screening, assessment, and management is lacking (Rana et al., Reference Rana, Mukhtar and Mukhtar2020). This is especially true for frontline workers of the Emergency Department (ED), which is a high-risk area being the first stop for suspected COVID-19 patients. A study on Chinese ED HCWs showed prevalence rates of depressive symptoms and post-traumatic stress disorder at 25.2% and 9.1%, respectively (Song et al., Reference Song, Fu, Liu, Luo, Wang, Zhoug, Yan and Lvn.d.). We aim to identify the prevalence, risk factors and sources of anxiety among ED HCWs in Pakistan during the COVID-19 pandemic. The insight our study provides may entice further research into the diagnosis, treatment and prevention of the psychological impact of this crisis on this vulnerable group.

3. Methods

This cross-sectional survey was conducted from 1 May 2020 to 20 May 2020 in the ED of Shifa International Hospital (SIH), Islamabad, Pakistan. Ours is a small ED which sees around 40,000 patients per annum. Purposive total population sampling was chosen for the entire census of HCWs (n = 109) providing patient care during the defined time frame. ED surveys have been conducted on a similar sample frame (Abraham et al., Reference Abraham, Thom, Greenslade, Wallis, Johnston, Carlström, Mills and Crilly2018; Basu et al., Reference Basu, Yap and Mason2016). Paper-based self-reporting questionnaires were distributed at the start of each work shift till all elements of the sample frame were included. The Institutional Review Board and Ethics Committee (IRB&EC) provided ethical approval for the study. All subjects were invited to participate on a voluntary basis and they provided informed consent prior to study commencement.

3.1. Materials

Our questionnaire consisted of 25 questions divided in three sections. The first section queried about demographic and occupational characteristics. The next section of questions answered as “yes” or “no”, pertained to specific sources of stress for HCWs while caring for COVID-19 patients: availability of personal protective equipment, their own physical and mental health, safety of their families, lack of social support and childcare, and feelings of incompetence and stress affecting work performance. These questions were derived from the prevailing concerns for HCWs (Shanafelt et al., Reference Shanafelt, Ripp and Trockel2020). Cai et al. used similar questions (Cai et al., Reference Cai, Tu, Ma, Chen, Fu, Jiang and Zhuang2020). The third section measured the anxiety symptoms among HCWs during the pandemic using the Generalized Anxiety Scale-7 (GAD-7) (Spitzer et al., Reference Spitzer, Kroenke, Williams and Löwe2006). GAD-7 is a validated, seven-item, self-reporting, screening questionnaire that assesses participants’ mental health status during the previous 2 weeks (Williams, Reference Williams2014). Each item is scored from 0 to 3 based on severity of symptoms experienced. The scores are then totaled from 0 to 21 with 5, 10 and 15 as cut-off points for mild, moderate and severe anxiety symptoms, respectively (Williams, Reference Williams2014). GAD-7 has been widely used during the SARS-CoV-2 pandemic to evaluate the prevalence of anxiety symptoms among HCWs across the globe (Centers for Disease Control and Prevention, n.d.; Gupta et al., Reference Gupta, Mehra, Niraula, Kafle, Deo, Singh, Sahoo and Grover2020; Wilson et al., Reference Wilson, Raj, Rao, Ghiya, Nedungalaparambil, Mundra and Mathew2020).

3.2. Statistical analyses

All study variables were coded numerically, including the degree of anxiety. The following analyses were carried out using SPSS 26.0 (IBM Corp): descriptive analyses, summarized as frequency (percentage); nonparametric tests to identify the differences in categorical variables between groups, as the data did not conform to normality; multivariate ordinal regression to identify the association between demographic and occupational variables as independent risk factors for the development of anxiety according to severity presented as odds ratios (ORs) and 95% CIs, after adjustment for confounders, including age, gender, marital status, designation, years of experience and work placement. P-value ≤0.05 was statistically significant.

4. Results

A total of 109 questionnaires were collected, of which 107 were valid. Two responses were excluded because of incomplete data. The response rate was 98%.

The demographic and occupational characteristics of all the participants are presented (Table 1). Male: female ratio of nurses and paramedical staff was greater as compared to almost equal numbers among physicians; more nurses and paramedical staff had worked as front-liners. These differences were statistically significant (Table 1).

Table 1. Demographic and occupational characteristics of participants

4.1. Comparison of severity of anxiety between groups

The severity of anxiety was compared across all groups (Table 2). Half the participants experienced anxiety, most had mild symptoms. Six (5.6%) healthcare workers reported severe anxiety, average GAD-7 score of 16.50 (±0.50); all were nurses and frontline workers. Nurses’ mean score was 10.28 (±4.39), classified as moderate anxiety symptoms, whereas physicians’ average score was 9.18 (± 4.90), classified as mild symptoms. This difference was statistically significant (P = 0.001). The younger age group 21–30 years scored an average of 10.03 (±4.40), compared to 31–40 years and 41–50 years mean scores of 9.55 (±5.10) and 5.75 (±5.50) respectively; the difference was statistically significant (P = 0.035). Frontline workers’ mean score was 9.80 (±4.50) compared to second-line workers’ score of 9.30 (±4.90), which was statistically significant (P = 0.001). The variables of gender, marital status and years of experience, were not significant when compared with the severity of anxiety.

Table 2. Severity categories of anxiety in total cohort and subgroups

4.2. Risk factors for the development of anxiety

The association between the demographic and occupational characteristics of participants and the development of anxiety symptoms showed the youngest age group (21–30 years) and frontline workers were at greatest risk of having anxiety (P = 0.001, OR 2.11, 95% CI 0.89–4.99 and P = 0.028, OR 1.34, 95% CI 0.33–1.66, respectively). There was no association demonstrated between anxiety symptoms and the other study variables including gender, marital status, designation and years of experience. (Table 3).

Table 3. Analysis of demographic and occupational factors associated with developing anxiety

4.3. Sources of stress

Significant sources of stress among HCWs were the fear of carrying the infection home (P = 0.003), lack of social support when the HCW were themselves unwell (P = 0.02) and feelings of inadequate performance at work (P = 0.05) (Table 4).

Table 4. Sources of stress perceived by HCWs during the pandemic

5. Discussion

Anxiety is a natural response to stress. Stress is a normal body reaction to any changes that occur. The SARS-CoV-2 pandemic has abruptly and drastically changed the lives of people of all nations across the world. While HCWs of all types are caring for large surges of COVID-19 patients, it is essential to maintain their numbers while maximizing their abilities to perform to their full potential (Shanafelt et al., Reference Shanafelt, Ripp and Trockel2020). To this end, our study attempted to evaluate the prevalence, severity, sources and risk factors of anxiety symptoms that endanger the psychological health of HCWs. This was meant as a screening to identify requirements for professional referral and subsequent intervention. Studies on the mental health of HCWs in previous disease pandemics are well-document, yet there are marked differences compared with the current situation (Xiao et al., Reference Xiao, Zhu, Fu, Hu, Li and Xiao2020). The subject of the ongoing psychological impact on HCWs during the COVID-19 pandemic has gained interest in many hard hit countries such as the U.S., China, Iran, India and Italy (Centers for Disease Control and Prevention, n.d.; Gupta et al., Reference Gupta, Mehra, Niraula, Kafle, Deo, Singh, Sahoo and Grover2020; Kaveh et al., Reference Kaveh, Davari-tanha, Varaei, Shirali, Shokouhi, Nazemi, Ghajarzadeh, Feizabad and Ashraf2020; Pearman et al., Reference Pearman, Hughes, Smith and Neupert2020; Rossi et al., Reference Rossi, Socci, Pacitti, Di Lorenzo, Di Marco, Siracusano and Rossi2020; Song et al., Reference Song, Fu, Liu, Luo, Wang, Zhoug, Yan and Lvn.d.; Wilson et al., Reference Wilson, Raj, Rao, Ghiya, Nedungalaparambil, Mundra and Mathew2020; Xiao et al., Reference Xiao, Zhu, Fu, Hu, Li and Xiao2020).

We chose the ED as the setting for our study. EDs across the globe have borne the brunt of managing COVID-19 patients; however the psychological impact on this particular subgroup of HCWs has yet to be studied. We included all elements directly involved in patient care, including paramedical staffs who are technical assistants to aide physicians and nurses with surgical procedures in the ED. An enormous challenge in this crisis has been the restructure of the work flow of hospitals to accommodate the influx of patients while containing the cross-transmission of disease. In our ED, a separate negative pressure isolation area has been dedicated for suspected/confirmed COVID-19 cases, named the “Red Zone”, where staff was randomly rotated at regular intervals. Those who had worked in the “Red Zone” were considered as front-line workers, while those who had not were considered as second-line. Most of our participants had worked in the “Red Zone”.

Nearly half of our participants reported symptoms of anxiety, but mild symptoms accounted for a larger proportion of disturbances; only 5.6% reported severe symptoms. Among Chinese HCWs, anxiety symptoms ranged from 11.4–50% (Centers for Disease Control and Prevention, n.d.; Song et al., Reference Song, Fu, Liu, Luo, Wang, Zhoug, Yan and Lvn.d.; Zhu et al., Reference Zhu, Sun, Zhang, Wang, Fan, Yang, Li and Xiao2020). Similar to our observation, studies from Iran and India demonstrated that the majority of HCWs had minimal to mild anxiety symptoms (Kaveh et al., Reference Kaveh, Davari-tanha, Varaei, Shirali, Shokouhi, Nazemi, Ghajarzadeh, Feizabad and Ashraf2020; Wilson et al., Reference Wilson, Raj, Rao, Ghiya, Nedungalaparambil, Mundra and Mathew2020). Younger age and working at the frontline were found to be independent risk factors for developing severe anxiety symptoms. Lai et al. from China also observed the latter (Lai et al., Reference Lai, Ma, Wang, Cai, Hu, Wei, Wu, Du, Chen, Li, Tan, Kang, Yao, Huang, Wang, Wang, Liu and Hu2020). Other countries have seen higher anxiety levels in younger HCWs (< 40 years of age), who were more likely to be female, which was not observed in our participants (Badahdah et al., Reference Badahdah, Khamis and Mahyijari2020; Kaveh et al., Reference Kaveh, Davari-tanha, Varaei, Shirali, Shokouhi, Nazemi, Ghajarzadeh, Feizabad and Ashraf2020). We also identified significant sources of distress according to occupational designation. Our results are similar to those of a meta-analysis exploring the factors related to HCWs’ psychological difficulties, which found that infection of colleagues or family members, protective measures, and medical violence were among the main concerns of HCWs in COVID-19 affected areas (Pappa et al., Reference Pappa, Ntella, Giannakas, Giannakoulis, Papoutsi and Katsaounoun.d.). Similar results were observed by Cai et al. (Reference Cai, Tu, Ma, Chen, Fu, Jiang and Zhuang2020). Surprisingly, lack of personal protective equipment was not a significant source of anxiety in our cohort. This may arise as a concern in other settings or a different time frame.

COVID-19 has adversely affected healthcare systems, created public health challenges and unnerved health service providers world-wide. Recognizing the most vulnerable HCWs, working in high-risk areas such as the ED, it is essential to provide them with support for coping with the emerging situation. Our hospital designed mental health facilities for HCWs specific to this crisis in the form of informative webinars and group sessions, as well mandatory screening sessions by professionals. Those suffering from severe symptoms were offered one-on-one sessions while maintaining their confidentiality. Timely assessment and provision of appropriate resources by the relevant healthcare authorities to combat, as well as prevent these disturbances is greatly needed, especially as the end of the pandemic is as yet, out of sight.

Our study has several limitations. Our scope was limited to screening for anxiety symptoms and identifying stressors. The actual prevalence of clinically diagnosed anxiety may vary. Stressors will vary individually and according to the prevailing situation, not all can be covered. The results of our study cannot be generalized to all HCWs working in EDs locally or internationally unless similar studies are undertaken in their settings on a larger sample of randomized subjects. Although our response rate was high and we used a validated screening tool, response bias is a possibility. Since it was a cross-sectional observation, longitudinal follow-up is lacking. This is required to assess the long-term effects of such crises on HCWs, providing future avenues of research. Furthermore, the mental health condition of HCWs themselves infected with COVID-19 is also a subject to be explored.

6. Conclusion

Our study aimed to identify the presence of anxiety symptoms and sources of distress among HCWs of an ED in Pakistan during the SARS-CoV-2 pandemic. We found the degree of anxiety symptoms to be mild; young nursing staff who had direct contact with infected patients were more affected. Significant sources of stress included fear of infecting family, lack of social support when the HCW were themselves unwell and feelings of inadequate work performance. Provision of appropriate measures to alleviate as well as prevent anxiety in HCWs is the need of the hour.

Acknowledgment

The authors sincerely appreciate the participation in this study of all the medical staff who are fighting against COVID-19.

Financial support

None to declare.

Conflict of interest

None to declare.

Data availability statement

The data that support the findings of this study are openly available in Pubmed Central at. http:// https://www.ncbi.nlm.nih.gov/pmc/, reference numbers 1, 3–7, 9–25;

World Health Organization at https://apps.who.int/iris/bitstream/handle/10665/331616/WHO-2019-nCoV-Sci_Brief-Transmission_modes-2020.2-eng.pdf, reference number 2;

The official website of the Government of Pakistan at http://covid.gov.pk/stats/pakistan, reference number 7.

Author contributions

  1. a. N. Haroon: concept and design, drafting of manuscript.

  2. b. S. S. Owais: data acquisition, analysis, interpretation, takes responsibility for data integrity and accuracy; drafting of manuscript

  3. c. A. S. Khan: critical appraisal; administrative support

  4. d. J. Amin: data acquisition, technical support

Disclaimer

This is an original work. All references have been clearly cited. This manuscript has not been published, nor is it under consideration for publication elsewhere.

References

Abraham, L. J., Thom, O., Greenslade, J. H., Wallis, M., Johnston, A. N., Carlström, E., Mills, D., & Crilly, J. (2018). Morale, stress and coping strategies of staff working in the Emergency Department: A comparison of two different-sized departments. Emergency Medicine Australasia, 30, 375381. doi: https://doi.org/10.1111/1742-6723.12895.CrossRefGoogle ScholarPubMed
Badahdah, A. M., Khamis, F., & Mahyijari, N. A. (2020). The psychological well-being of physicians during COVID-19 outbreak in Oman. Psychiatry Research, 289, 113053.CrossRefGoogle ScholarPubMed
Basu, S., Yap, C., & Mason, S. (2016). Examining the sources of occupational stress in an Emergency Department. Occupational Medicine (London), 66, 737742.CrossRefGoogle Scholar
Cai, H., Tu, B., Ma, J., Chen, L., Fu, L., Jiang, Y., & Zhuang, Q. (2020). Psychological impact and coping strategies of frontline medical staff in Hunan between January and March 2020 during the outbreak of Coronavirus disease 2019 (COVID-19) in Hubei, China. Medical Science Monitor, 26, e924171. doi: https://doi.org/10.12659/MSM.924171.Google Scholar
Centers for Disease Control and Prevention. (n.d.). Healthcare workers and first responders: How to cope with stress and build resilience during the COVID-19 pandemic. https://www.cdc.gov/coronavirus/2019-ncov/hcp/mental-health-healthcare.htmlGoogle Scholar
Elbay, R. Y., Kurtulmuş, A., Arpacıoğlu, S., & Karadere, E. (2020). Depression, anxiety, stress levels of physicians and associated factors in Covid-19 pandemic. Psychiatry Research, 290, 113130. doi: https://doi.org/10.1016%2Fj.psychres.2020.113130.CrossRefGoogle Scholar
COVID-19 Health Advisory Platform by Ministry of National Health Services Regulation and Coordination. http://covid.gov.pk/stats/pakistan. Accessed 1 Sept 2020.Google Scholar
Gupta, A. K., Mehra, A., Niraula, A., Kafle, K., Deo, S. P., Singh, B., Sahoo, S., & Grover, S. (2020). Prevalence of anxiety and depression among the healthcare workers in Nepal during the COVID-19 pandemic. Asian Journal of Psychiatry, 54, 102260. doi: https://doi.org/10.1016/j.ajp.2020.102260.CrossRefGoogle ScholarPubMed
Kaveh, M., Davari-tanha, F., Varaei, S., Shirali, E., Shokouhi, N., Nazemi, P., Ghajarzadeh, M., Feizabad, E., & Ashraf, M. A. (2020). Anxiety levels among Iranian health care workers during the COVID-19 surge: A cross-sectional study. MedRxiv Published online: 6 May 2020. https://doi.org/10.1101/2020.05.02.20089045CrossRefGoogle Scholar
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., Tan, H., Kang, L., Yao, L., Huang, M., Wang, H., Wang, G., Liu, Z., & Hu, S. (2020). Factors associated with mental health outcomes among healthcare workers exposed to Coronavirus disease 2019. JAMA Network Open, 3, e203976.CrossRefGoogle ScholarPubMed
Pappa, S., Ntella, V., Giannakas, T., Giannakoulis, V. G., Papoutsi, E., & Katsaounou, P. (n.d.). Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis. Brain, Behavior, and Immunity, 88, 901907. s0889–1591(20)30845-X. https://doi.org/10.1016/j.bbi.2020.05.026CrossRefGoogle Scholar
Pearman, A., Hughes, M. L., Smith, E. L., & Neupert, S. D. (2020). Mental health challenges of U.S. healthcare professionals during COVID-19. Frontiers in Psychology, 11, 2065. doi: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.02065/abstract.CrossRefGoogle Scholar
Rana, W., Mukhtar, S., & Mukhtar, S. (2020). Mental health of medical workers in Pakistan during the pandemic COVID-19 outbreak. Asian Journal of Psychiatry, 51, 102080.CrossRefGoogle ScholarPubMed
Rossi, R., Socci, V., Pacitti, F., Di Lorenzo, G., Di Marco, A., Siracusano, A., & Rossi, A. (2020). Mental health outcomes among frontline and second-Line health care workers during the Coronavirus Disease 2019 (COVID-19) pandemic in Italy. JAMA Network Open, 3, e2010185. doi: https://doi.org/10.1001/jamanetworkopen.2020.10185.CrossRefGoogle ScholarPubMed
Sandesh, R., Shahid, W., Dev, K., Mandhan, N., Shankar, P., Shaikh, A., & Rizwan, A. (2020). Impact of COVID-19 on the Mental Health of Healthcare Professionals in Pakistan. Cureus, 12, e8974. doi: https://doi.org/10.7759/cureus.8974.Google ScholarPubMed
Shanafelt, T., Ripp, J., & Trockel, M. (2020). Understanding and addressing sources of anxiety among health care professionals during the COVID-19 pandemic. JAMA, 323, 21332134. doi: https://doi.org/10.1001/jama.2020.5893.CrossRefGoogle ScholarPubMed
Song, X., Fu, W., Liu, X., Luo, Z., Wang, R., Zhoug, N., Yan, S., & Lv, C. (n.d.). Mental health status of medical staff in Emergency Departments during the Coronavirus disease 2019 epidemic in China. Brain, Behavior, and Immunity, 88, 6065.CrossRefGoogle Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archieves of Internal Medicine, 166, 10921097. doi: https://doi.org/10.1001/archinte.166.10.1092.CrossRefGoogle ScholarPubMed
Spoorthy, M. S., Pratapa, S. K., & Mahant, S. (2020). Mental health problems faced by healthcare workers due to the COVID-19 pandemic- a review. Asian Journal of Psychiatry, 51, 102119. doi: https://doi.org/10.1016/j.ajp.2020.102119.CrossRefGoogle ScholarPubMed
Williams, N. (2014). The GAD-7 questionnaire. Occupational Medicine, 64, 224. doi: https://doi.org/org/10.1093/occmed/kqt161.CrossRefGoogle Scholar
Wilson, W., Raj, J. P., Rao, S., Ghiya, M., Nedungalaparambil, N. M., Mundra, H., & Mathew, R. (2020). Prevalence and predictors of stress, anxiety, and depression among healthcare workers managing COVID-19 pandemic in India: A nationwide observational study. Indian Journal of Psychological Medicine, 42, 353358. doi: https://doi.org/10.1177/0253717620933992.CrossRefGoogle ScholarPubMed
World Health Organization. (2020). Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations: scientific brief, 29 March 2020. World Health Organization. https://apps.who.int/iris/handle/10665/331616. License: CC BYNC-SA 3.0 IGO.Google Scholar
Xiao, X., Zhu, X., Fu, S., Hu, Y., Li, X., & Xiao, J. (2020). Psychological impact of healthcare workers in China during COVID-19 pneumonia epidemic: A multi-center cross-sectional survey investigation. Journal of Affective Disorders, 274, 405410. doi: https://doi.org/10.1016%2Fj.jad.2020.05.081.CrossRefGoogle ScholarPubMed
Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey. International Journal of Biological Sciences, 16, 17451752.CrossRefGoogle ScholarPubMed
Zhu, J., Sun, L., Zhang, L., Wang, H., Fan, A., Yang, B., Li, W., & Xiao, S. (2020). Prevalence and influencing factors of anxiety and depression symptoms in the first-line medical staff fighting against COVID-19 in Gansu. Frontiers in Psychiatry, 11, 386. doi: https://doi.org/10.3389/fpsyt.2020.00386.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographic and occupational characteristics of participants

Figure 1

Table 2. Severity categories of anxiety in total cohort and subgroups

Figure 2

Table 3. Analysis of demographic and occupational factors associated with developing anxiety

Figure 3

Table 4. Sources of stress perceived by HCWs during the pandemic

Reviewing editor:  Xiaoping Wang Second Xiangya Hospital, Department of psychiatry, 139 Renmin Middle Road, Changsha, Hunan, China, 410011
This article has been accepted because it is deemed to be scientifically sound, has the correct controls, has appropriate methodology and is statistically valid, and has been sent for additional statistical evaluation and met required revisions.

Review 1: Prevalence, risk factors and sources of anxiety among Emergency Department healthcare workers in Pakistan during COVID-19 pandemic: a single center survey

Conflict of interest statement

none.

Comments

Comments to the Author: 1. page 4, line 40. The decimal place of mean and SD should be uniform.

2. All decimal place of P value should be three.

3. page 5, line 4. The P value cannot be equal and smaller than 0.001 at the same time.

4. page 5, line 4. the 95%CI contains 1 with the p value smaller than 0.001. But how is that possible? There must be something wrong. The researchers should check them statistical outcome again.

5. All tables should be three-line tables.

Presentation

Overall score 3.6 out of 5
Is the article written in clear and proper English? (30%)
4 out of 5
Is the data presented in the most useful manner? (40%)
3 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
4 out of 5

Context

Overall score 4 out of 5
Does the title suitably represent the article? (25%)
4 out of 5
Does the abstract correctly embody the content of the article? (25%)
4 out of 5
Does the introduction give appropriate context? (25%)
4 out of 5
Is the objective of the experiment clearly defined? (25%)
4 out of 5

Analysis

Overall score 3.4 out of 5
Does the discussion adequately interpret the results presented? (40%)
4 out of 5
Is the conclusion consistent with the results and discussion? (40%)
3 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
3 out of 5

Review 2: Prevalence, risk factors and sources of anxiety among Emergency Department healthcare workers in Pakistan during COVID-19 pandemic: a single center survey

Conflict of interest statement

The reviewers reported no Conflict of Interest

Comments

Comments to the Author: In this study, the authors sought to investigate the prevalence, risk factors and sources of anxiety among Emergency Department healthcare workers in Pakistan during COVID-19 pandemic. The manuscript is mostly well written. Although there has been a large amount of evidence indicated the anxiety and related risk factors among healthcare workers among other countries, however scarce evidence has been found in Pakistan population.

Specific comments:

Methods:

Is the 109 the number of the total health care workers in ED? Survey sampling and design choice must be led by their purpose. The author attempted to investigate the prevalence of anxiety in ED department in Pakistan. However, the subjects were not randomly sampled among the whole country. Therefore the samples in the current study could not met their purpose.

Page 14 line 25: please specify which confounders you are adjusted for.

In data analysis. How many factors did the authors included in the multivariate regression analysis? In addition, it has been suggested that the number of responders should be 10 times larger that the factors that the regression analysis (or even more).

Results:

Were there any significant differences in the demographics and clinical characteristics reported in Table 1 between the physicians and nurses? It could be recommendable to add p-values of the two groups comparisons and discuss them.

Presentation

Overall score 3.3 out of 5
Is the article written in clear and proper English? (30%)
3 out of 5
Is the data presented in the most useful manner? (40%)
3 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
4 out of 5

Context

Overall score 3.3 out of 5
Does the title suitably represent the article? (25%)
3 out of 5
Does the abstract correctly embody the content of the article? (25%)
3 out of 5
Does the introduction give appropriate context? (25%)
3 out of 5
Is the objective of the experiment clearly defined? (25%)
4 out of 5

Analysis

Overall score 3 out of 5
Does the discussion adequately interpret the results presented? (40%)
3 out of 5
Is the conclusion consistent with the results and discussion? (40%)
3 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
3 out of 5