Journal List > J Korean Med Sci > v.35(41) > 1146212

Park, Hwang, Jo, Bae, and Sakong: COVID-19 Outbreak and Its Association with Healthcare Workers' Emotional Stress: a Cross-Sectional Study

Abstract

Background

The coronavirus disease 2019 (COVID-19) outbreak has exposed healthcare workers to extreme physical workloads and psychological challenges. Thus, we aimed to assess the immediate correlates of emotional stress and to identify which specific jobs, departments, and exposure types are risk factors for emotional stress in healthcare workers.

Methods

In this cross-sectional study conducted from April 2 to 10, 2020, university hospital workers were administered self-reported questionnaires that covered general characteristics and included the Patient Health Questionnaire, Generalized Anxiety Disorder scale, and a visual analog scale. At-risk groups for depression and anxiety were identified, and the odds ratios for depression and anxiety were analyzed after adjusting for age, gender, education, marital status, and duration of employment.

Results

The data of 1,003 participants were analyzed. Of these, 14.2% worked in wards for confirmed COVID-19 cases and 15.2% had had direct contact with these patients. Treating patients with COVID-19 was associated with depression and anxiety, while dealing with COVID-19 test samples was associated with depression. Exposure to random or unspecified patients was also associated with depression. Lastly, social rejection and other negative experiences were associated with depression and anxiety.

Conclusion

The COVID-19 outbreak is correlated with healthcare workers' emotional stress, and specific types of jobs and duties involving close contact with these patients can be risk factors. Interestingly, even low-exposure groups reported significant depression and anxiety as a result of social stigma and uncertainty. Adequate and timely management measures for emotional stress are required for vulnerable and at-risk groups.

Graphical Abstract

jkms-35-e372-abf001.jpg

INTRODUCTION

According to World Health Organization data, the number of cases of coronavirus disease 2019 (COVID-19) reached six million worldwide in May 2020, with the related number of deaths standing at 367,166 in the same month.1 In the context of Korea, there was a surge in the number of COVID-19 cases in March, with Daegu becoming the epicenter in terms of both the number of confirmed cases and screening tests. By the end of April, there were 10,765 confirmed cases in the country, of which 63.7% (6,852) were in Daegu; this translates to 281.22 confirmed cases per 100,000 people.2
Healthcare workers are at the frontline of this unprecedented crisis, treating patients with COVID-19 and attempting to prevent new infections. Pandemics, in general, expose healthcare workers to heavy workloads and work-related stresses. Specifically, they are at high risk of infection, fears related to which can pose a psychological burden.3 Moreover, they can be stigmatized because of their proximity to patients, and feelings of rejection and isolation further contribute to their psychological stress.4
Prior to COVID-19, there were outbreaks of severe acute respiratory syndrome (SARS) and Middle East Respiratory Syndrome in several countries. In this context, research has assessed healthcare workers' anxiety,567 depression,8 anger,7 and posttraumatic stress.59 A significant finding across studies has been healthcare workers' fear of infecting their families and friends because of the nature of their work.810 The current outbreak of COVID-19 is no different, with reports of healthcare workers, especially nurses in Wuhan, China, experiencing psychological burden.3 The factors associated with aggravated emotional stress include an uncontrolled number of new cases, insufficient personal protective equipment, and risk of infections. Thus, in this crisis, healthcare workers are in need of adequate mental healthcare. However, to determine the psychological support measures required, it is necessary to identify who is most vulnerable, which factors are most closely related to stress, and how severe the situation is.
In this context, we aimed to describe and assess immediate emotional stress in the healthcare workers of a university hospital. Depression and anxiety are examined in relation to the nature of the job, department, exposure routes, and other related factors. We report here the immediate psychological responses of healthcare workers during the COVID-19 outbreak.

METHODS

Design and setting

This cross-sectional study was conducted at a university hospital in Daegu from April 2 to 10, 2020. In March, when it was designated as a COVID-19 care center, 4,998 screening tests were performed at the institute's drive-through test booth. The hospital also has a designated COVID-19 ward that can accommodate up to 100 beds. We sent Google survey requests to 2,650 employees.

Variables

The respondents were asked to mention their age, gender, education, and marital status. In addition, they were questioned about their position, duration of employment, and department during the COVID-19 outbreak. Their underlying diseases were reported, if any, and following questions were followed: 1) What is your level of exposure to COVID-19 while working?, 2) Have you ever been in contact with a patient with COVID-19?, 3) Have you ever undergone COVID-19 screening?, 4) Are there any confirmed or suspected COVID-19 cases in your family?, 5) Have you ever experienced social rejection or other negative experiences because of your job?, and 6) Are you satisfied with the personal protective equipment provided to you?
Depression was assessed with the Korean version of nine-item Patient Health Questionnaire (PHQ-9). Each item is scored on a four-point Likert scale from 0 (not at all) to 3 (nearly every day). The total score ranges from 0 to 27, with higher scores indicating greater depressive symptoms. A score of 10 represents the cutoff for moderate to severe depression. The validity and reliability were reported in previous studies.111213 The Cronbach's alpha coefficient from the PHQ-9 was reported as 0.81.14
Anxiety was assessed with the Korean version of seven-item Generalized Anxiety Disorder (GAD-7) scale (range, 0–21). The GAD-7 has an accepted cutoff value of 10.15 Its total score is interpreted as follows: no clinically significant anxiety, score of 0–4; mild anxiety, score of 5–9; moderate anxiety, score of 10–14; and severe anxiety, score of 15–21. The Cronbach's alpha coefficient from the GAD was 0.85. The sensitivity and specificity of the Korean version of GAD-7 were 81.8% and 89.9%, respectively.16
The subjective risk score was calculated using a visual analog scale (VAS) from 0 to 10. The 0 score represent the respondent felt no risk at all, and 10 represent highest risk they recognize. For example, if a respondent felt no risk of COVID-19 at all while working, then he or she would check ‘0’, or the other way around; if a respondent felt the highest risks about COVID-19, he or she would check ‘10’.

Statistical analysis

Respondents' characteristics and answers were presented using descriptive statistics, and geometric mean scores and standard deviations were calculated for the PHQ-9, GAD-7, and VAS. To assess the risks according to position, department, and exposure route, we performed multiple logistic regression analysis. Lastly, the crude odds ratios (ORs) were described and adjusted for age, gender, education, marital status, and duration of employment. All statistical analyses were conducted using SPSS 18.0 (SPSS Inc., Chicago, IL, USA).

Ethics statements

Respondents were assured of anonymity and confidentiality and written informed consent was obtained prior to the survey. This study was approved by the Institutional Review Board of Yeungnam University Hospital (YUMC 2020-03-105-002).

RESULTS

Overall, of the 1,010 employees who responded to the survey, seven were excluded: six because they did not provide informed consent and one because of a self-reported history of psychological problems. The general characteristics of the 1,003 participants whose data were analyzed are presented in Table 1. Of the participants, 352 (35.1%) were in their 20s, 776 (77.4%) were aged between 20 and 50, and the majority (n = 773; 77.1%) were women. Further, 710 (70.8%) had a bachelor's degree and most (n = 648; 64.6%) were nurses. Their duration of employment ranged from under five years to over 25 years, but 50.8% had worked for less than five years. One hundred and forty-three (14.2%) participants were working in the ward for confirmed COVID-19 cases, and 86 (8.6%) were involved in the drive-through COVID-19 screening booth. One hundred and fifty-three (15.2%) participants had had direct contact with patients with COVID-19, 47 (4.7%) had been exposed to test samples, 270 (26.9%) had been in contact with random or unspecified visitors, and 229 (22.9%) replied their contact with COVID-19 were very rare. In addition, 131 (13.1%) participants replied that their exposure route was unknown or uncertain.
Table 1

General characteristics of the study population (n = 1,003)

jkms-35-e372-i001
Variables/questionnaire Categories/answer Values
Age, yr 20s 352 (35.1)
30s 228 (22.7)
40s 196 (19.5)
50s 207 (20.6)
60s 20 (2.0)
Gender Men 230 (22.9)
Women 773 (77.1)
Education Bachelor's 710 (70.8)
Master's 154 (15.3)
PhD 33 (3.3)
Others 106 (10.6)
Marital status Married 491 (49.0)
Single 494 (49.2)
Separated/divorced 19 (1.9)
Position Doctor, staff and fellow 37 (3.7)
Doctor, intern and resident 34 (3.4)
Nurse, senior or supervisor 37 (3.7)
Nurse, junior or charge duty 611 (60.9)
Medical technician 98 (9.8)
Administrative and secretary officers 74 (7.4)
Pharmacy staff 12 (1.2)
Cafeteria workers 18 (1.8)
Others 82 (8.2)
Duration of employment Less than 5 years 510 (50.8)
More than 5, less than 10 years 94 (9.4)
More than 10, less than 15 years 42 (4.2)
More than 15, less than 20 years 51 (5.1)
More than 20, less than 25 years 118 (11.8)
More than 25 years 188 (18.7)
Departmenta Drive-through COVID-19 screening 86 (8.6)
Gate/entrance visitor screening 126 (12.6)
Ward for confirmed COVID-19 cases 143 (14.2)
Ward for suspected COVID-19 cases 35 (3.5)
General ward (non-COVID-19) 373 (37.2)
Outpatient 155 (15.5)
Operating room 92 (9.2)
Laboratory 19 (1.9)
Cafeteria 17 (1.7)
Others 270 (26.9)
Medical statusa None 918 (91.5)
Chronic diseases (hypertension, diabetes, etc.) 43 (4.3)
Respiratory diseases 44 (4.4)
What is your level of exposure to COVID-19 while working? Directly treat or care for patients 153 (15.2)
Close proximity within 2 meters 22 (2.2)
Within the same indoor space 35 (3.5)
Treat or deal with test samples (e.g., swab or sputum) 47 (4.7)
Contact with suspected patients 116 (11.6)
Contact with random or unspecified patients 270 (26.9)
Rare contact 229 (22.8)
Unknown or uncertain 131 (13.1)
Have you ever been in contact with a patient with COVID-19? Yes 273 (27.2)
No 582 (58.0)
Unknown 148 (14.8)
Have you ever undergone COVID-19 screening? Yes 186 (18.5)
No 817 (81.5)
Have you ever been under self-quarantine? Yes 57 (5.7)
No 946 (94.3)
Are there any confirmed or suspected COVID-19 cases in your family? Yes 69 (6.9)
No 934 (93.1)
Have you ever experienced social rejection or other negative experiences because of your job? Yes 381 (38.0)
No 622 (62.0)
Are you satisfied with the personal protective equipment provided to you? Yes 445 (44.4)
No 558 (55.6)
Values are presented as number (%).
COVID-19 = coronavirus disease 2019.
aMultiple selection.
Regarding the experience of contact with patients with COVID-19 and undergoing screening, 273 (27.2%) participants fell in the former category while 186 (18.5%) belonged to the latter. As a result of contact with patients, 57 (5.7%) participants had been forced to undergo self-quarantine. More than one-third of the sample (n = 381; 38.0%) had experienced social rejection or had other negative experiences because of their jobs. Overall, 445 (44.4%) were satisfied with their personal protective equipment.
The PHQ-9, GAD-7, and VAS scores were analyzed according to position, department, and exposure route (Table 2). The mean scores of the PHQ-9, GAD-7, and VAS for the total sample were 7.98, 4.40, and 5.69, respectively. By position, senior or supervisor nurses had the highest mean scores on the PHQ-9 (mean = 9.51) and GAD-7 (mean = 6.08). The highest percentages of depression and anxiety—45.9% and 21.6%, respectively—were also observed in these positions. Administrative and secretary officers had the second highest means on the PHQ-9 and GAD-7, followed by junior or acting duty nurses. By department, participants who worked in the ward for confirmed COVID-19 cases had the highest mean scores on the PHQ-9, GAD-7, and VAS at 10.03, 5.78, and 8.11, respectively. Moreover, at 46.9% and 20.3%, respectively, this department had the highest rates of depression and anxiety. Regarding exposure routes, healthcare workers who came in direct contact with patients with COVID-19 in the process of treatment had the highest mean scores on the PHQ-9, GAD-7, and VAS at 10.18, 5.58, and 8.31, respectively. The proportion with moderate to severe risk of depression and anxiety was the highest in these respondents.
Table 2

Depression, anxiety, and self-reported risks by position, department, and related factors

jkms-35-e372-i002
Categories Variables PHQ-9 Depression GAD-7 Anxiety VAS
Position Doctor, staff and fellow 6.97 ± 5.29 10 (27.0) 4.11 ± 4.07 2 (5.4) 4.57 ± 2.65
Doctor, intern and resident 4.94 ± 5.53 5 (14.7) 1.74 ± 3.32 2 (5.9) 6.09 ± 1.88
Nurses, senior or supervisor 9.51 ± 5.56 17 (45.9) 6.08 ± 5.26 8 (21.6) 6.00 ± 2.60
Nurse, junior or acting duty 8.25 ± 5.46 214 (35.0) 4.40 ± 4.73 76 (12.4) 6.12 ± 2.48
Medical technician 7.40 ± 5.05 29 (29.6) 3.74 ± 4.34 8 (8.2) 5.59 ± 2.41
Administrative, secretary officer 8.95 ± 6.12 26 (35.1) 5.54 ± 5.54 14 (18.9) 4.62 ± 2.50
Pharmacy staff 7.75 ± 6.86 5 (41.7) 4.67 ± 5.45 1 (8.3) 2.75 ± 2.01
Cafeteria worker 7.00 ± 5.49 5 (27.8) 4.28 ± 4.40 2 (11.1) 3.39 ± 2.45
Others 7.98 ± 5.61 23 (28.0) 4.40 ± 4.79 13 (15.9) 5.69 ± 2.58
Department Drive-through COVID-19 screening 8.15 ± 6.34 30 (34.9) 5.05 ± 5.80 15 (17.4) 5.94 ± 2.54
Gate/entrance visitor screening 8.11 ± 5.15 44 (34.9) 4.58 ± 4.48 14 (11.1) 5.15 ± 2.48
Ward for confirmed COVID-19 cases 10.03 ± 6.26 67 (46.9) 5.78 ± 5.63 29 (20.3) 8.11 ± 2.05
Ward for suspected COVID-19 cases 5.06 ± 4.67 4 (11.4) 2.83 ± 4.24 2 (5.7) 6.71 ± 1.90
General ward (non-COVID-19) 7.60 ± 5.60 113 (30.3) 4.12 ± 4.72 44 (11.8) 5.59 ± 2.18
Outpatient 7.74 ± 5.61 45 (29.0) 4.45 ± 4.96 17 (11.0) 5.65 ± 2.20
Operating room 6.23 ± 5.38 20 (21.7) 3.47 ± 4.25 8 (8.7) 5.53 ± 1.99
Laboratory 7.58 ± 5.44 9 (47.4) 4.40 ± 4.79 1 (5.3) 7.47 ± 1.58
Cafeteria 7.41 ± 5.43 5 (29.4) 4.35 ± 4.36 2 (11.8) 3.65 ± 2.57
Others 7.61 ± 5.60 85 (31.5) 4.32 ± 4.92 37 (13.7) 4.51 ± 2.48
Exposure route Directly treat or care for patients 10.18 ± 6.03 71 (46.4) 5.58 ± 5.50 31 (20.3) 8.38 ± 1.83
In the close places within 2 meters 8.45 ± 5.12 7 (31.8) 4.05 ± 4.46 2 (9.1) 7.27 ± 1.49
Within the same indoor space 7.86 ± 4.64 10 (28.6) 3.69 ± 3.23 2 (5.7) 6.74 ± 1.93
Treat or deal with test samples (e.g., swab or sputum) 9.70 ± 5.38 26 (55.3) 5.04 ± 4.37 6 (12.8) 7.34 ± 1.99
Contact with suspected patients 7.55 ± 4.67 36 (31.0) 3.98 ± 4.12 11 (9.5) 6.09 ± 1.86
Contact with random or unspecified patients 7.96 ± 5.36 89 (33.0) 4.64 ± 4.76 35 (13.0) 5.86 ± 2.06
Rare contact 6.59 ± 5.89 54 (23.6) 3.67 ± 4.96 25 (10.9) 3.30 ± 2.06
Unknown or uncertain 7.56 ± 5.44 41 (31.3) 4.40 ± 4.79 14 (10.7) 4.87 ± 2.01
Total 7.98 ± 5.61 334 (33.3) 4.40 ± 4.79 126 (12.5) 5.69 ± 2.58
Data are shown as mean ± standard deviation or number (%).
PHQ-9 = nine-item Patient Health Questionnaire, GAD-7 = seven-item Generalized Anxiety Disorder Scale, VAS = visual analog scale, COVID-19 = coronavirus disease 2019.
The ORs for depression and anxiety were analyzed after adjusting for age, gender, education, marital status, and duration of employment (Table 3). Comparing those who rarely had contact with patients with COVID-19, nurses (OR, 3.00; 95% confidence interval [CI], 1.25–7.16), medical technicians (OR, 1.90; 95% CI, 1.06–3.41), and administrative and secretary officers (OR, 2.73; 95% CI, 1.32–5.63) showed statistically significantly higher ORs for depression. Among them, senior or supervisor nurses had the highest ORs, followed by administrative and secretary officers. Administrative and secretary officers also had statistically significantly higher ORs for anxiety (OR, 3.31; 95% CI, 1.44–7.60).
Table 3

Logistic regression analysis and ORs for increased anxiety, depression

jkms-35-e372-i003
Categories Variables Depression Anxiety
Crude ORs (95% CI) Adjusted ORs (95% CI)a Crude ORs (95% CI) Adjusted ORs (95% CI)
Position Doctor, staff and fellow 1.30 (0.54–3.11) 1.69 (0.68–4.20) 0.30 (0.04–2.32) 0.34 (0.04–2.68)
Doctor, intern and resident 0.46 (0.16–1.38) 0.93 (0.30–2.87) 0.26 (0.03–2.01) 0.35 (0.05–2.78)
Nurse, senior or supervisor 4.13 (1.77–9.62) 3.00 (1.25–7.16) 2.04 (0.07–5.91) 1.81 (0.61–5.39)
Nurse, junior or acting duty 1.93 (1.36–2.75) 1.87 (1.29–2.73) 1.22 (0.75–2.00) 1.18 (0.71–1.97)
Medical technician 1.53 (0.88–2.68) 1.90 (1.06–3.41) 0.65 (0.26–1.65) 0.75 (0.29–1.93)
Administrative, secretary officer 2.65 (1.33–5.31) 2.73 (1.32–5.63) 3.10 (1.38–6.95) 3.31 (1.44–7.60)
Pharmacy staff 1.08 (0.11–10.60) 1.02 (0.10–10.12) NA NA
Cafeteria worker 1.94 (0.45–8.40) 1.46 (0.33–6.52) NA NA
Others 1.67 (0.86–3.23) 1.95 (0.99–3.86) 2.30 (1.05–5.06) 2.45 (1.09–5.51)
Rare contact 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
Department Drive-through screening 2.02 (1.15–3.54) 2.29 (1.29–4.09) 1.94 (0.95–3.96) 2.04 (0.99–4.21)
Gate/entrance visitor screening 1.93 (1.15–3.26) 1.81 (1.06–3.11) 0.68 (0.28–1.63) 0.66 (0.27–1.60)
Ward for confirmed COVID-19 cases 3.01 (1.92–4.74) 3.65 (2.26–5.90) 2.19 (1.22–3.93) 2.37 (1.30–4.33)
Ward for suspected COVID-19 cases 0.42 (0.14–1.24) 0.58 (0.19–1.74) 0.50 (0.11–2.19) 0.57 (0.13–2.55)
General ward (non-COVID-19) 1.51 (1.02–2.22) 1.63 (1.08–2.44) 1.01 (0.58–1.74) 1.02 (0.58–1.80)
Outpatient 1.44 (0.87–2.37) 1.37 (0.87–1.40) 1.05 (0.52–2.14) 1.04 (0.51–2.14)
Laboratory 3.65 (1.34–9.91) 6.93 (2.44–19.74) 0.51 (0.07–4.01) 0.65 (0.08–5.19)
Cafeteria 2.43 (0.53–11.20) 1.83 (0.38–8.79) NA NA
Others 1.83 (1.18–2.85) 1.90 (1.21–2.99) 1.59 (0.88–2.85) 1.61 (0.89–2.90)
Rare contact 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
Exposure route Directly treat or care for patients 2.81 (1.81–4.36) 3.62 (2.24–5.83) 2.07 (1.17–3.68) 2.41 (1.31–4.42)
Within 2 meters 1.51 (0.59–3.90) 1.26 (0.47–3.36) 0.82 (0.18–3.70) 0.75 (0.16–3.43)
In the same indoor space 1.30 (0.59–2.87) 1.16 (0.51–2.64) 0.50 (0.11–2.19) 0.46 (0.10–2.03)
Treat or deal with test samples (e.g., swab or sputum) 4.01 (2.09–7.69) 5.15 (2.60–10.21) 1.19 (0.46–3.10) 1.33 (0.51–3.51)
Contact with suspected patients 1.46 (0.88–2.40) 1.40 (0.83–2.34) 0.86 (0.41–1.81) 0.87 (0.41–1.86)
Contact with random or unspecified patients 1.59 (1.07–2.37) 1.71 (1.13–2.59) 1.22 (0.70–2.10) 1.29 (0.74–2.24)
Unknown or uncertain 1.48 (0.91–2.38) 1.56 (0.95–2.56) 0.98 (0.49–1.95) 1.00 (0.50–2.01)
Rare contact 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
COVID-19 contact Yes 1.73 (1.28–2.33) 1.85 (1.35–2.54) 1.35 (0.88–2.07) 1.39 (0.90–2.15)
No 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
Unknown 1.32 (0.90–1.94) 1.45 (0.98–2.15) 1.49 (0.80–2.49) 1.55 (0.92–2.61)
COVID-19 screening Yes 1.63 (1.17–2.56) 1.84 (1.31–2.59) 1.85 (1.21–2.84) 1.99 (1.28–3.10)
No 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
Self-quarantine Yes 1.28 (0.74–2.21) 1.43 (0.81–2.51) 0.81 (0.34–1.93) 0.84 (0.35–2.01)
No 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
Social rejection, negative experiences Yes 3.00 (2.28–3.94) 3.05 (2.30–4.03) 2.96 (2.02–4.35) 2.96 (2.01–4.35)
No 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.) 1.00 (Ref.)
VAS Scale from 0 to 10 1.24 (1.17–1.31) 1.24 (1.14–1.35) 1.21 (1.13–1.32) 1.29 (1.21–1.36)
OR = odds ratio, CI = confidence interval, COVID-19 = coronavirus disease 2019, VAS = visual analog scale, Ref. = reference.
aAdjusted for age, gender, education, marital status, and duration of employment.
By department, workers engaged in drive-through screening (OR, 2.29; 95% CI, 1.29–4.09) and gate/entrance visitor screening (OR, 1.81; 95% CI, 1.06–3.11), as well as those working in the ward for confirmed COVID-19 cases (OR, 3.65; 95% CI, 2.26–5.90), general ward (non-COVID-19) (OR, 1.68; 95% CI, 1.08–2.44), and laboratory (OR, 6.93; 95% CI, 2.44–19.74) had statistically significant ORs for depression. However, only workers in the ward for confirmed COVID-19 cases had statistically significant ORs for anxiety (OR, 2.37; 95% CI, 1.30–4.33).
Direct contact with patients with COVID-19 in the process of treatment was directly associated with depression and anxiety; the ORs for depression and anxiety were 3.62 (95% CI, 2.24–5.83) and 2.41 (95% CI, 1.31–4.42), respectively. Likewise, dealing with COVID-19 test samples (e.g., swab or sputum) was associated with depression (OR, 5.15; 95% CI, 2.60–10.21). Exposure to random or unspecified patients was also associated with depression (OR, 1.71; 95% CI, 1.13–2.59). Workers who had been in contact with patients with COVID-19 (OR, 1.85; 95% CI, 1.35–2.54) and who had undergone COVID-19 screening (OR, 1.84; 95% CI, 1.31–2.59) had statistically significantly higher ORs for depression than those who had not. Lastly, social rejection or other negative experiences were associated with depression (OR, 3.05; 95% CI, 2.30–4.03) and anxiety (OR, 2.96; 95% CI, 2.01–4.35).

DISCUSSION

This study was conducted in April 2020, when cases of COVID-19 were vigorously increasing in Daegu, Korea. The reported rates of depression and anxiety in the general population are 6.7%17 and 6.2%,18 respectively. According to Korean community survey for socio-psychological health and perceived social safety research performed 2014, the rate of high risk of anxiety shown to be 4.3%.19 Considering those rates in general population, the rates among healthcare workers observed in this study are significantly higher. At the university hospital in question, the overall rates of depression and anxiety stood at 33% (n = 334) and 12.5% (n = 126), respectively. These rates and their ORs varied by position, department, and exposure route. The results can be interpreted as indicating that the closer healthcare workers' contact with patients with COVID-19, the higher the rates and ORs for depression, anxiety, and subjective risk.
As per a WHO report, by April 8, 22,073 healthcare workers across 53 countries had been infected with COVID-19.20 Regarding Daegu specifically, as of March 24, there were 121 confirmed COVID-19 cases among healthcare workers, which is 4.42 per 1,000 people, whereas the cases in the general population numbered 6,620, which is 2.72 per 1,000 people.21 Thus, it is evident that healthcare workers have higher chances of getting infected; further, they are exposed to physical and psychological burden. Accordingly, a study from Wuhan, China showed that 14.8% of healthcare workers experienced moderate to severe depression, while 12.3% had moderate to severe anxiety.3 In comparison, the rate of depression is higher in our study. The difference might be attributable to the fact that while the Chinese study investigated 34 hospitals, including those at the fringes of Wuhan, our study focused on a single institution.
Nurses were identified to be at the highest risk of depression and anxiety, similar to other studies.322 As of March 24, in Daegu, there were 56 confirmed cases in nurses and 51 in nurse aides, which is equivalent to 4.85 per 1,000 people and 5.14 per 1,000 people, respectively. It is notable that there were no differences in infection rates between the general population and doctors: 2.73 per 1,000 people and 2.37 per 1,000 people, respectively.21 A potential explanation is that nurses tend to interact most closely with patients, increasing their chances of infection as compared to other groups, which is also associated with their emotional stress, ultimately resulting in the highest ORs for depression and anxiety.
Regarding factors associated with psychological impact during SARS, studies have listed position, high-risk work environments, quarantine, and perceived risk.582324 While several factors might aggravate emotional stress, uncertainty and stigmatization seem the most significant in this regard. In our study, for instance, even for “rare” and “unknown” exposure, 23.6% and 31.3%, respectively, were identified as being at risk of depression; for anxiety, these proportions were 10.9% and 10.7%, respectively. Moreover, administrative and secretary officers, who are likely to have less contact with patients with COVID-19 compared to other job positions, had relatively high PHQ-9 and GAD-7 scores. This is comparable with another study wherein the administrative group had high PHQ-9 and GAD-7 scores.22 These results support that hospital employees have higher levels of depression and anxiety than the general population even if they are not directly engaged in COVID-19-related work.
It is evident that not only are healthcare workers at a higher risk of exposure to COVID-19 than the general population but they are also stressed by social stigma. In fact, 18.5% of the participants answered that they had undergone COVID-19 screening, which is quite high, considering that the test rate in the general population was about 1.76% (910,822 test cases) of the total population of Korea as of May 2020.25 In addition, 38.0% (n = 381) of the participants reported having experienced social rejection or other negative incidents. Those groups showed statistically significantly high ORs for depression and anxiety: 3.05 (95% CI, 2.30–4.03) and 2.96 (95% CI, 2.01–4.35), respectively. While these findings can be attributed to many factors, social rejection and negative experiences certainly seem to be associated with emotional stress. Moreover, psychological distress including stigmatization can persist over the long term, necessitating timely management.26
The major limitation of our study is the use of self-reports, which can lead to over or under-reporting. Another limitation is that the participants belonged to a single institution. In addition, we considered a limited number of positions, departments, and exposure routes, which limits the generalizability of the findings. Regarding the appropriate reference group and ‘normal population’, we had certain limitation to set. It can be comparable to general population—not the ‘rarely contact’, however, the epidemiological data from the general population is from the studies conducted under the usual situation, not epidemic one. This might be one of the limitations of this study. Since this study is survey study, the response rate was quite low (38.1%), and there could be selection bias, which the more tendency to report their symptom, the more willing to answer the survey. Lastly, the cross-sectional design did not permit the comparison of basal mental health status with current status. However, we included over 1,000 healthcare workers in our assessment of emotional stress at a university hospital located at the epicenter of Korea's COVID-19 response. Also, the study was initiated immediately after the COVID-19 outbreak, which helped evaluate healthcare workers' immediate emotional response.
In the current situation of the COVID-19 pandemic, we evaluated emotional stress in healthcare workers, which was evaluated to be particularly severe in nurses and those who were directly exposed to patients. Significant levels of anxiety and depression were also identified in hospital employees without direct exposure to COVID-19. There is a need for appropriate psychological intervention measures to ensure healthy work environments for healthcare workers, who are playing a pivotal role in COVID-19 management.

Notes

Funding: This study was supported by a grant from Medicity Daegu (2020).

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Sakong J.

  • Data curation: Park C.

  • Formal analysis: Park C.

  • Funding acquisition: Park C.

  • Investigation: Park C, Jo S.

  • Methodology: Park C, Hwang JM, Bae SJ.

  • Project administration: Sakong J.

  • Resources: Jo S.

  • Software: Hwang JM, Bae SJ.

  • Supervision: Sakong J.

  • Validation: Hwang JM.

  • Visualization: Jo S, Bae SJ.

  • Writing - original draft: Park C.

  • Writing - review & editing: Park C, Sakong J.

References

1. World Health Organization. Coronavirus disease 2019 (COVID-19): situation report-132. Updated 2020. Accessed June 3, 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200531-covid-19-sitrep-132.pdf?sfvrsn=d9c2eaef_2.
2. Ministry of Health and Welfare. Updates on COVID-19 in Republic of Korea (as of 30 April). Updated 2020. Accessed May 22, 2020. http://ncov.mohw.go.kr/en/.
3. Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open. 2020; 3(3):e203976. PMID: 32202646.
crossref
4. Bai Y, Lin CC, Lin CY, Chen JY, Chue CM, Chou P. Survey of stress reactions among health care workers involved with the SARS outbreak. Psychiatr Serv. 2004; 55(9):1055–1057. PMID: 15345768.
crossref
5. Lee SM, Kang WS, Cho AR, Kim T, Park JK. Psychological impact of the 2015 MERS outbreak on hospital workers and quarantined hemodialysis patients. Compr Psychiatry. 2018; 87:123–127. PMID: 30343247.
crossref
6. Chong MY, Wang WC, Hsieh WC, Lee CY, Chiu NM, Yeh WC, et al. Psychological impact of severe acute respiratory syndrome on health workers in a tertiary hospital. Br J Psychiatry. 2004; 185(2):127–133. PMID: 15286063.
crossref
7. Jeong H, Yim HW, Song YJ, Ki M, Min JA, Cho J, et al. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol Health. 2016; 38:e2016048. PMID: 28196409.
crossref
8. Maunder R, Hunter J, Vincent L, Bennett J, Peladeau N, Leszcz M, et al. The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ. 2003; 168(10):1245–1251. PMID: 12743065.
9. Styra R, Hawryluck L, Robinson S, Kasapinovic S, Fones C, Gold WL. Impact on health care workers employed in high-risk areas during the Toronto SARS outbreak. J Psychosom Res. 2008; 64(2):177–183. PMID: 18222131.
crossref
10. Chan AOM, Huak CY. Psychological impact of the 2003 severe acute respiratory syndrome outbreak on health care workers in a medium size regional general hospital in Singapore. Occup Med (Lond). 2004; 54(3):190–196. PMID: 15133143.
crossref
11. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16(9):606–613. PMID: 11556941.
12. Manea L, Gilbody S, McMillan D. Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis. CMAJ. 2012; 184(3):E191–E196. PMID: 22184363.
crossref
13. Martin A, Rief W, Klaiberg A, Braehler E. Validity of the brief Patient Health Questionnaire mood scale (PHQ-9) in the general population. Gen Hosp Psychiatry. 2006; 28(1):71–77. PMID: 16377369.
crossref
14. Park SJ, Choi HR, Choi JH, Kim K, Hong JP. Reliability and validity of the Korean version of the Patient Health Questionnaire-9 (PHQ-9). Anxiety Mood. 2010; 6(2):119–124.
15. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166(10):1092–1097. PMID: 16717171.
16. Seo JG, Cho YW, Lee SJ, Lee JJ, Kim JE, Moon HJ, et al. Validation of the generalized anxiety disorder-7 in people with epilepsy: a MEPSY study. Epilepsy Behav. 2014; 35:59–63. PMID: 24798411.
crossref
17. Shin C, Kim Y, Park S, Yoon S, Ko YH, Kim YK, et al. Prevalence and associated factors of depression in general population of Korea: results from the Korea National Health and Nutrition Examination Survey, 2014. J Korean Med Sci. 2017; 32(11):1861–1869. PMID: 28960042.
crossref
18. Remes O, Brayne C, van der Linde R, Lafortune L. A systematic review of reviews on the prevalence of anxiety disorders in adult populations. Brain Behav. 2016; 6(7):e00497. PMID: 27458547.
crossref
19. Korea Center for Disease Control and Prevention. Community survey for socio-psychological health and perceived social safety. Updated 2015. Accessed September 10, 2020. http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201600016002.
20. World Health Organization. Coronavirus disease 2019 (COVID-19): situation report-82. Updated 2020. Accessed May 12, 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200411-sitrep-82-covid-19.pdf?sfvrsn=74a5d15_2.
21. Kim JH, An JAR, Min PK, Bitton A, Gawande AA. How South Korea responded to the COVID-19 outbreak in Daegu. NEJM Catal Innov Care Deliv. Forthcoming. 2020; DOI: 10.1056/CAT.20.0159.
crossref
22. Choudhury T, Debski M, Wiper A, Abdelrahman A, Wild S, Chalil S, et al. COVID-19 pandemic: looking after the mental health of our healthcare workers. J Occup Environ Med. 2020; 62(7):e373–e376. PMID: 32730043.
crossref
23. Brooks SK, Dunn R, Amlôt R, Rubin GJ, Greenberg N. A systematic, thematic review of social and occupational factors associated with psychological outcomes in healthcare employees during an infectious disease outbreak. J Occup Environ Med. 2018; 60(3):248–257. PMID: 29252922.
crossref
24. Chua SE, Cheung V, Cheung C, McAlonan GM, Wong JW, Cheung EP, et al. Psychological effects of the SARS outbreak in Hong Kong on high-risk health care workers. Can J Psychiatry. 2004; 49(6):391–393. PMID: 15283534.
crossref
25. Ministry of Health and Welfare. Updates on COVID-19 in Republic of Korea (as of 31 May). Updated 2020. Accessed June 5, 2020. http://ncov.mohw.go.kr/en/.
26. Maunder RG, Lancee WJ, Balderson KE, Bennett JP, Borgundvaag B, Evans S, et al. Long-term psychological and occupational effects of providing hospital healthcare during SARS outbreak. Emerg Infect Dis. 2006; 12(12):1924–1932. PMID: 17326946.
crossref
TOOLS
Similar articles