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Table of Content - Volume 18 Issue 2 - May 2021




Study of depression, anxiety, stress and quality of sleep among healthcare professionals during COVID-19 pandemic in North Karnataka region

 

Alok N Ghanate1, Laxmidevi M Patil2*, Namdev Chawan3, Prafulla J Wali4

 

1Professor and Head of Department, 2Junior Resident, 3Assistant Professor, 4Senior Resident, Department of Psychiatry, Mahadevappa Rampure Medical College, Kalaburgi, Karnataka, INDIA.

Email: luxpatil963@gmail.com

 

Abstract              Background: Despite remaining the crisis management personnel, the HCW are not themselves immune to the psychological consequences due to COVID-19. Facing this critical situation, health care workers on the frontline who are directly involved in the care of patients with COVID-19 are at risk of developing psychological distress and other mental health symptoms. Present study was aimed to assess socio demographic profiles, magnitude of stress, anxiety, depression and quality of sleep among the healthcare professionals. Material and Methods: Present study was a cross-sectional, online study conducted during April 28th to May 20th ,2020 on health care workers working in hospitals equipped with fever clinics or wards for patients with COVID-19. Results: Out of 110 health care professionals 32 (29.1%) of the subjects had stress, 35 (31.8%) had anxiety and 40 (36.4%) had depression. The study also reveals that, out of 110 health care professionals 40 (36.4%) of the subjects had insomnia and 70 (63.6%) subjects had no clinically significant insomnia. There was statistically significant difference in level of stress and anxiety in marital status and work status (P<0.05). Single or unmarried subjects had significantly more stress and anxiety levels as compare to married. There was statistically significant difference in level of depression and insomnia amongst age groups, marital status and work status (P<0.05). Lower age group(18-30yrs) of subjects had significantly higher depression and insomnia as compared to higher age group (>30years). Single or unmarried subjects had significantly higher depression levels and insomnia as compared to married and others. Interns and junior residents had significantly more depression and insomnia as compared to others. Conclusion: Health care providers working during COVID 19 pandemic have high prevalence of depression, anxiety, stress and poor quality of sleep. In present study, age, marital status and work status were noted as significant risk factors for depression, anxiety, stress and insomnia.

Keywords: healthcare professionals, COVID 19 Pandemic, depression, anxiety, stress, quality of sleep

 

INTRODUCTION

Starting as a mere local transmission from the Wuhan city of China, COVID-19 has become one of the major catastrophes affecting the global socio-political scene. On February 11, 2020, the WHO has officially declared the COVID-19 as “pandemic” from the previous status of global health emergency.1 Despite remaining the crisis management personnel, the HCW are not themselves immune to the psychological consequences due to COVID-19. Facing this critical situation, health care workers on the frontline who are directly involved in the care of patients with COVID-19 are at risk of developing psychological distress and other mental health symptoms.2 Situation is further complicated due to complete uncertainty; lack of proper guidelines; unprepared health infrastructure, overwhelming workload, depletion of personal protection equipment, lack of specific drugs, and fear, anxiety, stigma, prejudice, and marginalization toward the disease. There are few studies done on how situation like this affect their mental health.3,4 Present study was aimed to assess socio demographic profiles, magnitude of stress, anxiety, depression and quality of sleep among the healthcare professionals.

 

MATERIAL AND METHODS

Present study was a cross-sectional, online study conducted during April 28th to May 20th, 2020, using an online questionnaire spread via social networks. 120 HCW responded to the online questionnaire. Out of them only 110 answered all the questions. The submission of the form was deemed as informed consent to participate in the study. The link of the questionnaire was sent through E-mails and WhatsApp to the contacts of the investigators.

Inclusion criteria: Health care workers working in hospitals equipped with fever clinics or wards for patients with COVID-19

Exclusion Criteria: HCW currently not working, not on social media platform and incomplete responses were excluded

The questionnaire was divided into formed on three sections:

  1. Socio demographic data- age, gender, qualification, specialties, working hours and type of work.
  2. Knowledge and attitudes of Covid 19
  3. Clinical scales to evaluate mental health which included DASS 21 for assessing depression, anxiety and stress. Insomnia severity index scale was used for assessing quality of sleep.

The DASS-21 is based on three subscales of depression, stress, and anxiety, and each subscale consists of seven questions each. Each item is scored on a self-rated Likert scale from 0 (didn’t apply to me all) to 3 (much or mostly applied to me) in past 1 week. The rating of DASS-21 subitems are normal, mild, moderate, severe and extremely severe. Insomnia severity Index consisted of 7 questions. Each question is scored on a self-rated Likert scale from 0 to 4. Final score was calculated adding each of 7 scores. The rating of the scale on final score as follows <7 no insomnia, 8-14 mild insomnia, 15-21 moderate insomnia and > 22 severe insomnia. Descriptive and inferential statistical analysis were carried out in the present study. Results on continuous measurements are presented on Mean ± SD (Min-Max) and results on categorical measurements are presented in number (%). Analysis of variance (ANOVA), Student t test (two tailed, independent), Chi-square/ Fisher Exact test has been used to find the significance of study parameters on categorical scale. p value less than 0.05 was considered as statistically significant.


 

RESULTS

Maximum number of subjects 86 (78.2%) were belonging to the age group of 21-30 years, followed by 22 (20.0%) were of age group 31-40 years. There was no statistical significant difference of age among males and females (P>0.05)

 

Table 1: Age and sex wise distribution of cases

Age in years

Males

Females

Total

 

No.

%

No.

%

No.

%

<18 years

0

0.0

0

0.0

0

0.0

21—30 years

45

69.2

41

91.1

86

78.2

31--40 years

19

29.2

3

6.7

22

20.0

41--50 years

1

1.6

1

2.2

2

1.8

51--60 years

0

0.0

0

0.0

0

0.0

>60 years

0

0.0

0

0.0

0

0.0

Total

65

100.0

45

100.0

110

100.0

Mean ± SD

29.21 ± 13.15

27.81 ± 12.24

28.81 ± 13.02

 

Table No 2 reveals that, Out of 110 health care professionals 32 (29.1%) of the subjects had stress, 35 (31.8%) had anxiety, and 40 (36.4%) had depression

 

Table 2: Health care professionals according to levels of Stress, Anxiety and Depression

Levels

Stress

Anxiety

Depression

 

Range

No.

%

Range

No.

%

Range

No.

%

Normal

0-14

78

70.9

0-7

75

68.2

0-9

70

63.6

Mild

15-18

9

8.2

8-9

8

7.3

10-13

7

6.4

Moderate

19-25

9

8.2

10-14

11

10.0

14-20

21

19.1

Severe

26-33

12

10.9

15-19

4

3.6

21-27

7

6.4

Extremely Severe

≥ 34

2

1.8

≥ 20

12

10.9

≥ 28

5

4.5

Total

--

110

100.0

--

110

100.0

--

110

100.0

Table 3 reveals that, Out of 110 health care professionals 40 (36.4%) of subjects had insomnia and 70 (63.6%) had no clinically significant insomnia.

Table 3: Levels of quality of sleep

Levels quality of sleep

Range

No. of health care professionals

Percentage

No clinically significant insomnia (Normal)

0 - 7

70

63.6

Sub threshold insomnia (mild)

8 - 14

29

26.4

Clinical insomnia (moderate severity)

15 - 21

9

8.2

Clinical insomnia (severe)

22 - 28

2

1.8

Total

--

110

100.0

Table No 4 reveals that there was statistical significant difference in level of stress and anxiety in marital status and work status (P<0.05). Single or unmarried subjects had significantly more stress and anxiety levels as compare to married.

Interns and junior resident had significantly more stress and anxiety as compared to other status of work. Study reveals that, there was no statistical significant difference in level of stress and anxiety between age groups, sex, Residence, educational qualification and department they belonged to. (P>0.05).

 

Table 4: Demographical profile wise comparison of levels stress and anxiety scores

Stress

Anxiety

Marital status

(X2=6.32 P=0.017) S

(X2=7.96 P=0.019) S

Work status

(X2=13.83 P=0.042) S

(X2=12.91 P=0.041) S

Table no 5 reveals that there was statistical significant difference in level of depression and insomnia amongst age groups, marital status and work status (P<0.05). Lower age group of subjects had significantly higher depression and insomnia as compared to higher age group. Single or unmarried subjects had significantly higher depression levels and insomnia as compared to married and others. Intern and junior resident had significantly more depression and insomnia as compared to other status of work. Study reveals that, there was no statistical significant difference in level of depression and quality of sleep between sex, Residence, educational qualification and department they belonged to (P>0.05).

 

Table 5: Demographical profile wise comparison of levels depression and quality of sleep scores

Depression

Quality of sleep or insomnia

Age group

(X2=6.32 P=0.015) S

(X2=6.11 P=0.026) S

Marital status

(X2=6.54 P=0.011) S

(X2=9.01 P=0.008) HS

Work status

(X2=18.47 P=0.010) HS

(X2=17.43 P=0.01) HS

Table No 6 reveals that, out of 110 subjects; 58 (52.7%) of subjects had come in direct or indirect contact with a confirmed covid-19 case and 52 (47.3%) of subjects did not come into contact with a covid-19 case. Out of 58 subjects who have contact history, showed statistical significance in all the above 4 domains. Out of which, the highest statistical significance was seen in anxiety.

 

Table 6: Comparison of stress, anxiety, depression and quality of sleep among contact with confirmed covid-19 infection and without contact

 

Variables

Have you anytime came in direct and indirect contact with an

individual who confirmed Covid 19 infection

 

Stress

Anxiety

Depression

Quality of sleep

Yes

No

Yes

No

Yes

No

Yes

No

Normal

36

42

34

41

31

39

32

38

Mild

6

3

6

2

4

3

19

10

Moderate

6

3

8

3

16

5

6

3

Severe

10

4

10

6

7

5

1

1

X2-test

P-value

X2 = 7.21

P =0.034 S

X2 = 12.45

P =0.007 HS

X2 = 8.04

P =0.027 S

X2 = 6.09

P =0.043 S

 


DISCUSSION

The recent pandemic of COVID19 has thrown serious challenges to healthcare professionals. This situation exposed them to higher stress levels, anxiety, and apprehension. Moreover, it affects their work output which, in the pipeline, affects the healthcare delivery to the whole nation.4 The current study observes that, maximum number of subjects 86 (78.2%) were belonging to the age group of 21-30 years, followed by 22 (20.0%) were belonging to the age groups of 31-40 years which is in accordance with the review conducted by Mamidipalli Sai et al.5 This study found no statistical significant difference between male and female gender which is similar to the study conducted by Wilson William et al.6 Highest number constituted of junior residents 68 (61.8%) which is similar to the study conducted by William and et al.6 85 (77.3%) subjects had their educational qualification MD/ MS/ Diploma which is similar to the study conducted by S S Chatterjee et al.4 Higher rates of anxiety and depression was generally noted than stress in the subjects which is similar to the findings of Wilson William et al.6 The prevalence rates for stress, anxiety and depression were 29.1%, 31.8% and36.4% respectively. However, Chatterjee et al.4 demonstrated higher levels of anxiety (39.5%), compared to depression (34.9%), but had similar low levels of stress (32.9) as in our study. In our study, insomnia was seen in 36.4% of people which is similar to Lai Jianbo. et al.7 who found insomnia in 34% subjects in their study. Depression, which was found to be higher was of moderate type (19.1%) and subjects experiencing anxiety and stress were more of severe type (14.5% and 12.7%) similar to the study by Chatterjee et al.4 Level of stress and anxiety were high in unmarried and junior residents which was statistically significant. This may be due to the burden of doing COVID-19 duties, lesser time for the academics and constant fear of getting infected from others. Level of depression and insomnia were high among younger age group < 30 years, unmarried and junior residents which was statistically significant. As our study sample, constituted around 78% below the age of 30 years, where depression is a common prevalence. Xiao et al.8 have studied the role of social support in medical staff and looked for its association with self-efficacy, sleep quality, degrees of anxiety and stress. Results suggested that the social support given to medical staff caused a reduction in anxiety and stress levels and increased their self-efficacy. Protecting health care workers is an important component of public health measures for addressing the COVID-19 epidemic. Special interventions to promote mental well-being in health care workers exposed to COVID-19 need to be immediately implemented, with women, nurses, and frontline workers requiring particular attention.7 The study sample size was small and consisted predominantly younger age group (78%), so the results cannot be generalized to entire HCW. A large scale multicentric study will probably give a larger picture of morbidity amongst HCW and guide us for better service planning and delivery.

CONCLUSION

Health care providers working during COVID 19 pandemic have high prevalence of depression, anxiety, stress and poor quality of sleep. In the present study, age, marital status and work status were noted as significant risk factors for depression, anxiety, stress and insomnia

 

REFERENCES

  1. Eurosurveillance Editorial Team. Note from the editors: World Health Organization declares novel coronavirus (2019-nCoV) sixth public health emergency of international concern. Eurosurveillance 2020;25:200131e.
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  3. Misra A. Doctors and healthcare workers at frontline of COVID 19 epidemic: Admiration, a pat on the back, and need for extreme caution. Diabetes Metab Syndr 2020;14:255-6.
  4. Chatterjee SS, Bhattacharyya R, Bhattacharyya S, Gupta S, Das S, Banerjee BB. Attitude, practice, behavior, and mental health impact of COVID19 on doctors. Indian J Psychiatry 2020;62:257-65.
  5. Spoorthy MS, Pratapa SK, Mahant S. Mental health problems faced by healthcare workers due to the COVID-19 pandemic-A review. Asian J Psychiatr. 2020;51:102119.
  6. Wilson W, Raj JP, Rao S, Ghiya M, Nedungalaparambil NM, Mundra H, Mathew R. Prevalence and predictors of stress, anxiety, and depression among healthcare workers managing COVID-19 pandemic in India: A nationwide observational study. Indian J Psychol Med. 2020;42(4): 353–358.
  7. Lai J, Ma S, Wang Y, et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw Open. 2020;3(3):e203976. Published 2020 Mar 2.
  8. ­ Xiao, H., Zhang, Y., Kong, D., Li, S., Yang, N., 2020. The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) January and February 2020 in China. Med. Sci. Monit. 26, e923549.




















 


 

 


 

 











 



 








 





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