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Baniya, Kumar, Verma, and Masuria: Depression, anxiety, stress and coping strategies in healthcare workers during the second wave of Covid-19 pandemic


Introduction

Coronavirus disease (COVID-19), a global health disaster, has never been seen before in human history.1 Given the magnitude and speed with which the pandemic has spread, it is understandable that there has been an increase in anxiety among the public and health care workers (HCW). The World Health Organization (WHO) has explicitly recognized the risk of pandemic-related stress and burnout (emotional exhaustion) in healthcare workers and has issued guidance on psychological issues during COVID-19.2

In India, the first wave of the COVID-19 pandemic wreaked havoc on the mental health of healthcare workers, with multiple studies revealing various levels of acute psychosocial stressors, anxiety, depression, and emotional exhaustion.3, 4 The outbreak of a fatal second wave of the pandemic cut short a growing sense of false confidence across the country.5, 6 In April 2021, India was afflicted by the world's most extraordinary COVID-19 outbreak.7 The current study is one of the few to look at the psychological impact of the pandemic's second wave on distinct subgroups of healthcare workers in India. That is why an online survey was utilized to determine the stress, anxiety, and depression experienced by healthcare workers and the coping strategies.

Materials and Methods

Study population and eligibility criteria

Participants could participate in this study if they had internet access. Participants needed to be over 18 years old, able to communicate in English. They also had to be willing to provide informed consent. All adults in a healthcare setting were eligible to participate in the study, regardless of whether they are involved in patient care or treatment.

Study design

We conducted a cross-sectional survey between 01 and 30 May across the nation. We used the snowball sampling technique to recruit participants. A semi-structured online questionnaire was created with Google Forms and an attached consent form. The link was sent to the author's contact via email, WhatsApp, or other social media platforms. It was encouraged that contributors reach out to as many people with the survey as possible. The link was then forwarded to all contacts, including the first one. Once the link was clicked, it took the individual to information about the study and informed consent. After approval of the survey, they completed demographic information then a series of questions were presented that participants had to answer.

Measures

The online survey had five sections: sociodemographic, anxiety, depression, stress, and coping techniques. Answers to questions were either yes or no, and open-ended questions were also asked. This form included a summary of the survey's objective, procedures, and the voluntary nature of participation, a statement of anonymity and privacy, and instructions for completing the survey.

The independent variables were demographic characteristics (age, gender, profession, working environment). The Generalised Anxiety Disorder - 7 (GAD-7) questionnaire was used to assess anxiety symptoms. It is a self-reported anxiety screening instrument validated and used to determine the severity of symptoms.8 The seven items are rated on a scale of 0 to 3, with 0 being not at all, to 3, nearly every day. The total score of an individual is used to classify anxiety severity as none (0-4), mild (5-9), medium (10-14), or severe (15-21).

The severity of depressive symptoms was determined using the Patient Health Questionnaire 9 (PHQ-9) scale. The validated, self-reported PHQ-9 scale has been used to screen for and quantify depression severity.9 There are nine possible responses, ranging from 0 to 3, with 0 being not at all and 3 nearly every day. The total score is divided into four categories: none (0-4), mild (5-9), moderate (10-14), moderately severe (15-19), and severe (20-27).

Stress-related symptoms were assessed using the DSM 5 primary care post-traumatic stress disorder screening (PC PTSD-5).10 This screening questionnaire consists of five items and is intended for use in primary care. To rule out the possibility of PTSD, a cut-off score of less than three is recommended.

Respondents were given a list of common coping strategies and the option to provide free text detailing any additional strategy they used. Sharing emotions, activities, and humor, turning to God, having hope, being open to change, not thinking, problem-solving, and so on were all common coping strategies.

Statistical analysis

To facilitate analysis, ensure accuracy, and avoid translation errors, all questionnaire data were pre-coded. The data were entered into Microsoft Excel 365 and then exported to SPSS V.20 Windows. SPSS V.20 is a social science statistical software package. For graph making, version 365 of Microsoft Excel was used. Continuous variables were described using descriptive statistics such as mean and standard deviation, whereas categorical variables were described using percentages or actual value. To distinguish between variables, an independent student t-test or chi-square test was used. The level of significance was determined using the standard 0.05 level.

Ethical approval

The institution's ethics committee approved the research. All ethical concerns pertaining to the research have been addressed. Before the interview could begin, participants were required to sign an informed consent form. Participants completed this form to indicate their willingness to participate in the study. Participants signed consent forms authorizing the collection, use, and disclosure of their personal information. The participants were assured that any information gathered would be kept strictly confidential.

Results

Within one month of the survey's unveiling, 1682 participants from across the country had responded. We excluded 342 of them from the final review because they did not answer all the questions. As a result, 1340 individuals responded to the survey and were considered legitimate. Most of the responses were received from Rajasthan (324), followed by Gujarat (147), Delhi (114), Madhya Pradesh (81), Utter Pradesh (78), and Punjab (59). (Figure 1)

Table 1

Sociodemographic characteristics of participants.

Characteristics

Number (n=1340)

Percentage (%)

Age

18-29

504

37.61

30-39

340

25.37

40-49

290

21.64

≥50

206

15.37

Sex

Male

848

63.28

Female

492

36.72

Marital Status

Unmarried

364

27.16

Married

856

63.88

Widow/Divorced/Separated

120

8.96

Profession

Medical Officer

282

21.04

Resident Doctor

337

25.15

Specialist

134

10.00

Nursing Staff

587

43.81

Work Environment

Government Hospital

1008

75.22

Private Hospital

332

24.78

Table 2

Depression, anxiety, and stress severity among participants by gender.

Characteristics

Male % (n=848)

Female % (n=492)

Total % (n=1340)

Chi-square p-value

Anxiety

None

475 (56.01)

304 (61.79)

779 (58.13)

4.284 0.232

Mild

224 (26.42)

113 (22.97)

337 (25.15)

Moderate

112 (13.21)

57 (11.59)

169 (12.61)

Severe

37 (4.36)

18 (3.66)

55 (4.10)

Depression

None

492 (58.02)

312 (63.41)

804 (60.00)

10.415 0.034*

Mild

208 (24.53)

124 (25.20)

332 (24.78)

Moderate

92 (10.85)

40 (8.13)

132 (9.85)

Moderately Severe

56 (6.60)

16 (3.25)

72 (5.37)

Severe

0 (0.0)

0 (0.0)

0 (0.0)

Posttraumatic stress symptoms (PTSS)

No PTSS

563 (66.39)

354 (71.95)

917 (68.43)

4.455 0.035*

Probable PTSS

285 (33.61)

138 (28.05)

423 (31.57)

Table 3

Coping strategy of participants.

Coping strategy

Male % (n=848)

Female % (n=492)

Total % (n=1340)

Chi-square p-value

Keep expectations open and be hopeful

580 (68.40)

312 (63.41)

892 (66.57)

3.472 0.062

Continue to be busy.

483 (56.96)

223 (45.33)

706 (52.69)

16.901 0.00*

Belief in God or religion

343 (40.45)

264 (53.66)

607 (45.30)

21.928 0.00*

Take care of the problems on my end.

272 (32.08)

148 (30.08)

420 (31.34)

0.575 0.448

Share emotions with others.

268 (31.60)

141 (28.66)

409 (30.52)

1.274 0.259

Communicate with others

264 (31.13)

136 (27.64)

400 (29.85)

1.811 0.178

Try not to think about it.

229 (27.00)

125 (25.41)

354 (26.42)

0.409 0.522

Thinking in a different way

217 (25.59)

119 (24.19)

336 (25.07)

0.326 0.568

Take it easy

159 (18.75)

115 (23.37)

274 (20.45)

4.093 0.043*

Finding it difficult to cope.

68 (8.02)

30 (6.10)

98 (7.31)

1.696 0.193

Possessing self-assurance

28 (3.30)

14 (2.85)

42 (3.13)

0.214 0.644

Others

15 (1.77)

10 (2.03)

25 (1.87)

0.118 0.731

Not Sure

20 (2.36)

14 (2.85)

34 (2.54)

0.299 0.714

Figure 1

Geographic distribution of participants.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/e143f469-8cc5-403e-b1d1-30c968d8bac1image1.png

There were 848 male (mean age = 38.3, SD = 12.8, range: 18-66 years) and 492 women (mean age = 31.4, SD = 12.8, range: 13-60 years). Most of the participants (37.61%) were between the ages of 18 and 29, and 856 were married (63.88%). By profession, 337 participants (25.15%) were resident doctors, and 1008 participants (75.22) worked in government settings. (Table 1)

Anxiety symptoms were reported by 561 of the 1340 participants (41.87%). Depressive symptoms were reported by 536 (40.00%) of the participants. Post-traumatic stress symptoms were also prevalent in 423 participants (31.57%), and nearly one-third could be considered for probable PTSD based on PC-PTSD-5 scores. Our study found a statistically significant difference between male and female depression and post-traumatic stress symptoms (p-value <0.05). (Table 2)

Table 3 lists the various coping mechanisms adopted by the participants. Most participants used coping strategies were keeping expectations open and hopeful (66.57%); other common tactics included being busy with activities (52.69%), believing in God or religion (45.30%), problem-solving by own (31.34%), share emotions (30.52%), and communicating to others (29.85%).

We compared male and female coping strategies and found that males utilized keep busy (56.96% vs. 45.33%, p <0.01), while females used Belief in God or religion (53.66% vs. 40.45%, p <0.01) and take it easy (23.37% vs. 18.75%, p <0.05).

Discussion

The study assessed the prevalence of mental problems, potential risk factors, and the coping mechanisms adopted by those who used them during the second wave of the COVID-19 pandemic. In this study, 41.87% of participants reported having anxiety symptoms. 40.00% of participants reported experiencing depressive symptoms. Additionally, 31.57% of participants reported experiencing post-traumatic stress symptoms.

Studies conducted in response to the COVID pandemic worldwide found varying levels of psychological impairment among healthcare workers. They ranged from mild behavioral changes to higher rates of anxiety and depression to more severe issues such as mental health disorders (depression and anxiety) and high prevalence rates up to 50%.4, 9 A meta-analysis involving 13 studies that included 33,062 healthcare workers revealed pooled prevalence rates at 23.2% and 22.8% for anxiety, insomnia, and depression.11

In India, one cross-sectional, nationwide study of 433 frontline healthcare workers found that the overall prevalence of stress, depression, and anxiety symptoms were comparable to what was observed globally.12 A multi-center study of 777 physicians assigned to frontline COVID-19 duty revealed that approximately half of those with psychological impairment suffered from moderate to severe depression, anxiety, stress, and insomnia.13 Other studies on smaller cohorts of Indian healthcare workers found a relatively high prevalence of depression, anxiety, stress, and several factors associated with psychological outcomes.5 Barzelay et al. found more significant levels of anxiety and depression were more common in healthcare workers than in non-healthcare workers.14 In an analysis conducted in India, Chatterjee et al. revealed excessive stress and sleeplessness among 140 Indian health care workers.15 Nursing professionals had higher levels of irritation than other healthcare workers. Due to direct interaction with covid-19 patients in a stressful atmosphere, these people are more prone to experience insomnia.

Our study is one of the few studies conducted on Indian health care workers during the pandemic's second wave. While we observed significant psychological symptoms in a subset of our study subjects, the overall prevalence of depression, anxiety, and stress was lower than that reported by most studies during the pandemic's first wave.16 This could be due to the nature of work at the time of the survey, postvaccination status, or the psychological resilience developed by healthcare workers following the pandemic's first wave. Additionally, healthcare workers in a resource-constrained country like India are accustomed to strenuous professional lifestyles and burnout from their training days. This may have contributed to their relative invulnerability in psychologically taxing situations. However, the mean anxiety scores were significantly higher in doctors and nurses, a finding confirmed by previous research.4, 6 Increased anxiety levels in clinical healthcare workers could be attributed to their increased awareness of the COVID-19 infection's highly evolving nature, with its increasing number of variants, changing infectivity rates, and various clinical presentations, all of which contribute to a sense of insecurity and fear of the unknown.

Daily time spent thinking about or gathering information about COVID-19 was positively correlated with depression and stress scale scores, a finding previously established in the general population.17 The researchers have found that rumination is related to internalising psychopathology and has a significant correlation with depression and anxiety.18 This finding suggests that, in the context of the pandemic, healthcare workers should devise methods of self-distraction or incorporate elements of mindfulness practice into their daily routines.

Many healthcare workers were suffering from anxiety, depression, and stress symptoms, such as post-traumatic stress disorder (PTSD). Various studies in China showed that 21.3% experienced mild anxiety and 0.9% suffered from severe anxiety; 40.4% had psychological problems and 14.4% suffered from PTSD symptoms.19 Similar findings were reported according to various studies although prevalence figures vary greatly.20, 21

Effective coping strategies are essential in stressful situations. This can help prevent stress-related psychiatric disorders. Individual vulnerability to stress and particular situations will play a part but utilizing coping strategies can help. During times of crisis or disaster, it's quite well that people have a variety of strategies for dealing with the situation.22 According to the results of our study, 'Keep expectations open and be hopeful' was the most common way of coping with the situation. 'Continuing to be busy' was next. One-third of respondents said they used religious faith to cope with their problems. This included sharing feelings, communicating to others, and trying to understand the situation.

However, the study results show that information on coping with stress and effective coping strategies can be helpful. As secondary stressors like job loss, economic hardships, and bereavements set in, the weight of your concerns can increase.23 It is crucial to inform the healthcare workers about available resources and practical ways to address these emerging issues and deal with COVID-19. Counseling, resilience training, and online psychotherapy support are all services that can be provided to healthcare workers.

Limitations

This study also has the usual limitations of online surveys. Since it does not reflect the total population, it may represent persons who have access to the internet. The accuracy of the findings may be higher with larger samples. It may also help examine regional/cultural variations in the presentation, which could be explored in future studies. Substance abuse and the exacerbation or worsening of pre-existing mental illnesses may have a broader and more pervasive impact. The results do not reflect the possible influence of these factors on mental health. Because it is a self-report study, participants may have given what they feel comfortable with, despite the anonymity of the data.

Conclusion

During the second wave of the COVID-19 pandemic, a significant proportion of healthcare workers in India reported experiencing anxiety, depression, or other stress-related symptoms. The results of this study highlight the critical need to help healthcare workers increase their capacity for long-term coping and resilience so that they can overcome the Covid-19 pandemic without succumbing to psychological distress. While the pandemic will pass, the psychological scars it leaves on healthcare professionals must be minimized by providing appropriate and timely psychological and mental health treatment. This will undoubtedly be a long-term endeavor that must begin during the pandemic and continue afterward.

Conflict of Interest

The authors declare that there are no conflicts of interest in this paper.

Source of Funding

None.

References

1 

M Casale COVID-19: Can this crisis be transformative for global health?Glob Public Health20201511174052

2 

Z Austin P Gregory Resilience in the time of pandemic: the experience of community pharmacists during COVID-19Res Social Adm Pharm2021171186775

3 

A Kakunje R Mithur M Kishor Emotional well-being, mental health awareness, and prevention of suicide: Covid-19 pandemic and digital psychiatryArch Med Health Sci20208114753

4 

SP Adhikari N Rawal DB Shrestha P Budhathoki S Banmala S Awal Prevalence of Anxiety, Depression, and Perceived Stigma in Healthcare Workers in Nepal During Later Phase of First Wave of COVID-19 Pandemic: A Web-Based Cross-Sectional SurveyCureus2021136e1603710.7759/cureus.16037

5 

NW Chew JN Ngiam BQ Tan SM Tham CS Tan M Jing Asian-Pacific perspective on the psychological well-being of healthcare workers during the evolution of the COVID-19 pandemicBJPsych Open202066e11610.1192/bjo.2020.98

6 

T Kaur P Ranjan A Chakrawarty K Kasi P Berry S Suryansh Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From IndiaCureus2021137e1642010.7759/cureus.16420

7 

A Rajkumar F J Pk Ag S Managing Stress among Healthcare Workers: Strategies and Implications Associated With Covid-19 PandemicInt Res J Adv Sci Hub20213716

8 

R L Spitzer K Kroenke J B Williams B Löwe A brief measure for assessing generalized anxiety disorder: the GAD-7Arch Intern Med2006166101092710.1001/archinte.166.10.1092

9 

L Manea S Gilbody D Mcmillan A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depressionGen Hosp Psychiatry20153716775

10 

SE Hawn SE Cusack B George CM Sheerin D Dick AB Amstadter Diagnostic validity of the PC-PTSD screen in college studentsJ Am Coll Health2022706190919

11 

K Batra T P Singh M Sharma R Batra N Schvaneveldt Investigating the psychological impact of COVID-19 among healthcare workers: a meta-analysisInt J Environ Res Public Health202017239096

12 

J Shah A Monroe-Wise Z Talib A Nabiswa M Said A Abeid Mental health disorders among healthcare workers during the COVID-19 pandemic: a cross-sectional survey from three major hospitals in KenyaBMJ Open202111650316

13 

A Sahebi B Nejati S Moayedi K Yousefi M Torres M Golitaleb The prevalence of anxiety and depression among healthcare workers during the COVID-19 pandemic: An umbrella review of meta-analysesProg Neuropsychopharmacol Biol Psychiatry202110711024710.1016/j.pnpbp.2021.110247

14 

R Raj S Koyalada A Kumar S Kumari P Pani Nishant Psychological impact of the COVID-19 pandemic on healthcare workers in India: An observational studyJ Family Med Prim Care20209125921610.4103/jfmpc.jfmpc_1217_20

15 

SS Chatterjee M Chakrabarty D Banerjee S Grover SS Chatterjee U Dan Stress, Sleep and Psychological Impact in Healthcare Workers During the Early Phase of COVID-19 in India: A Factor AnalysisFront Psychol20211261131410.3389/fpsyg.2021.611314

16 

N Salari A Hosseinian-Far R Jalali A Vaisi-Raygani S Rasoulpoor M Mohammadi Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysisGlobal Health202016157

17 

MS Islam R Tasnim MSH Sujan MZ Ferdous MT Sikder JNB Masud Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in BangladeshBMC psychiatry2021211273

18 

F Bakioğlu O Korkmaz H Ercan Fear of COVID-19 and positivity: mediating role of intolerance of uncertainty, depression, anxiety, and stressInt J Ment Health Addict2021196236982

19 

W Cao Z Fang G Hou M Han X Xu J Dong The psychological impact of the COVID-19 epidemic on college students in ChinaPsychiatry Res2020287112934

20 

KS Khan MA Mamun MD Griffiths I Ullah The mental health impact of the COVID-19 pandemic across different cohortsInt J Ment Health Addict2022201380610.1007/s11469-020-00367-0

21 

AE Muller EV Hafstad JPW Himmels G Smedslund S Flottorp SØ Stensland The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic reviewPsychiatry Res2020113441

22 

B Savitsky Y Findling A Ereli T Hendel Anxiety and coping strategies among nursing students during the covid-19 pandemicNurse Educ Pract20204610280910.1016/j.nepr.2020.102809

23 

L Huang W Lei F Xu H Liu L Yu Emotional responses and coping strategies in nurses and nursing students during Covid-19 outbreak: A comparative studyPloS One2020158e237303



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