Prevalence of Depression, Anxiety, Distress and Insomnia and Related Factors in Healthcare Workers During COVID-19 Pandemic in Turkey.

The purpose of this study was to evaluate the prevalence of depression, anxiety, distress, and insomnia and related factors in healthcare workers during the COVID-19 pandemic in Turkey. We applied the study survey online to HCWs during the pandemic in Turkey between 23 April and 23 May 2020. We used the sociodemographic data form, Patient Health Questionnaire-9, General Anxiety Disorder-7, Insomnia Severity Index, and Impact of Event Scale-Revised. Six hundred twenty (66.0%) of the 939 HCWs taking part in the study were female, 580 (61.8%) were physicians, 569 (60.6%) were working on the front line. Seven hundred twenty-nine (77.6%) participants exhibited depression, 565 (60.2%) anxiety, 473 (50.4%) insomnia, and 717 (76.4%) distress symptoms. Depression, anxiety, insomnia, and distress symptoms were significantly greater among females, individuals with a history of psychiatric illness, and individuals receiving psychiatric support during the COVID-19 pandemic. HCWs serving in Turkey during the COVID-19 pandemic experienced high levels of depression, anxiety, insomnia, and distress symptoms. Female gender, being a nurse, working on the front line, history of psychiatric illness, and being tested for COVID-19 were identified as risk factors for mental health problems.

Introduction

Following its first emergence in December 2019 in Wuhan, 2019 novel coronavirus (2019-nCoV) spread rapidly across the world [1]. The disease caused by 2019-nCoV was given the name coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). A pandemic was subsequently declared by the WHO on 11 Mart 2020. The first case in Turkey was reported by the Ministry of Health on that same date [2]. While decreases in the numbers of deaths and positive cases have gradually been seen in some countries, the pandemic is still maintaining momentum in specific regions of the world.

Healthcare workers (HCWs) have provided a very wide spectrum of services throughout the COVID-19 pandemic in Turkey. They have worked in pandemic clinics, wards, operating rooms, and intensive care units, non-pandemic clinics, wards, operating rooms, and intensive care units, in emergency departments, ambulances, family health centers, pharmacies, and filiation teams. The Turkish Ministry of Health announced that 7428 HCWs had been infected as of 29 April 2020, representing 6.5% of all cases [3]. On April 16, 2020, the Italian National Institute of Health reported that 16,991 HCWs had been infected, representing 10.7% of all cases [4]. High rates of infection among HCWs and reports of deaths among colleagues have an adverse mental impact on HCWs.

The rapid transmission and mortality of COVID-19 result in both the emergence of new mental health problems and the exacerbation of pre-existing ones [5]. Death reports arriving from various countries, death count rising by the day, loss of loved ones, fear of transmitting the disease to loved ones, living apart from one’s family to avoid infecting them, deaths among colleagues, working for extended periods with protective equipment, and stigmatization are all potential triggers of psychological problems [6-10]. Improved technology has differentiated the COVID-19 pandemic from other pandemics [11-14]. Widespread global connections and broad media coverage lead to secondary pandemic disaster reactions (infodemics). Much incorrect information was disseminated rapidly through the media as COVID-19 disease spread and case numbers increased. Repeated exposure to such reports causes increased psychological distress [15]. High levels of coverage of COVID-19 in the media have been linked to depression and anxiety [16]. Very high numbers of online searches have been shown to have been performed about these psychological problems [17]. In addition to the acute effect of all these factors, there will also be long-term consequences. Numerous studies have reported increased psychological problems during and after the earlier SARS, H1N1, and Ebola epidemics [18-28]. The purpose of the present study was to evaluate the prevalence of depression, anxiety, distress, and insomnia and related factors in healthcare workers during the COVID-19 pandemic in Turkey.

Material and Methods

Study Setting and Population

We delivered the online questionnaire created through Google Forms to participants via e-mail, WhatsApp, and Facebook groups. In the first part of the questionnaire, there was a text giving information about the study. Before partaking in the online questionnaire, participants were required to give informed consent for participation and collection and analysis of their data by ticking the “Yes, I agree and hereby give my informed consent” box, and not the “No thanks, I do not give my consent” box on the online form.

The sample size was calculated using the formula N = (Zα)2 P (1−P) /d2. The sample size was calculated at 600, with Zα = 1.96 for a 95% confidence interval and a predicted acceptable margin of error of d = 0.04, at a rate 50% of that in previous similar studies of HCWs and the COVID-19 pandemic from China [29, 30]. Nine hundred fifty-one individuals participated online, although 12 individuals who were not HCWs or not served during the study period were excluded. Nine hundred thirty-nine individuals were thus finally enrolled. The study was performed between 23 April and 23 May 2020. Approval was granted by the Ondokuz Mayıs University Clinical Research Ethical Committee (IRB No. OMUKAEK 2020-228) and by the Turkish Health Ministry Health Services General Directorate Scientific Research Platform.

The Questionnaire

The questionnaire applied contained questions concerning age (18–25/26–30/31–40/41 or above), sex (male/female), marital status (married/unmarried), nature of the place of work (urban/rural), occupation (physician/nurse/other), involvement in the diagnosis, treatment, and care of COVID-19 patients in the pandemic (front line/the second line), time in the profession (< 10 years/10 years or more), presence of chronic disease (yes/no), history of psychiatric illness (yes/no), receipt of psychiatric support during the pandemic (yes/no), being tested for COVID-19 (yes/no), and receipt of COVID-19 treatment (yes/no). The following sections consisted of the Patient Health Questionnaire-9, General Anxiety Disorder-7, Insomnia Severity Index, and Impact of Event Scale-Revised inventories.

Tools

Patient Health Questionnaire-9 (PHQ-9) is a nine-item self-report scale designed to screen for depression. PHQ-9 investigates how frequently patients were troubled by problems in the previous two weeks. Items are rated on a 4-point Likert-type scale, ranging from 0 (not at all) to 3 (nearly every day). Total scores range between 0 and 27. Total scores of 0–4 were regarded as “minimal or none,” 5–9 as “mild,” 10–14 as “moderate,” 15–19 as “moderately severe,” and 20–27 as “severe”. The recognized cut-off value is 10 [31, 32].

General Anxiety Disorder-7 (GAD-7) is a seven-item self-report questionnaire designed to screen for anxiety. GAD-7 investigates how frequently participants have been disturbed by problems in the preceding two weeks. Items are rated on a 4-point Likert-type scale, ranging from 0 (not at all) to 3 (nearly every day). Total scores range between 0 and 21. Total scores of 0–4 were regarded as “not at all,” 5–9 as “mildly,” 10–14 as “moderately,” and 15 as “severely” [33, 34].

The Insomnia Severity Index (ISI) is a seven-item self-report questionnaire evaluating the nature, severity, and impact of insomnia. The ISI investigates participants’ difficulty in falling asleep, difficulty in remaining asleep, very early waking, the satisfaction derived from the sleep pattern, impairments emerging in day to day functioning, awareness of sleep-related impairments, and stress levels caused by sleep problems in the previous one month. Items are rated on a 5-point Likert-type scale, ranging from 0 (no problem) to 4 (very severe problem). Total scores range between 0 and 28. Total scores of 0–7 indicate “absence of insomnia,” 8–14 “sub-threshold insomnia,” 15–21 “moderate insomnia,” and 22–28 “severe insomnia”. A cut-off value of 10 was adopted [35-37].

The Impact of Event Scale-Revised (IES-R) is a 22-item self-report questionnaire evaluating post-traumatic stress. The IES-R investigates how frequently subjects have been troubled by problems in the previous seven days. Items are rated on a 5-point Likert-type scale, ranging from 0 (not at all) to 4 (extremely). Total scores range between 0 and 88. Total scores of 0–8 were regarded as “normal,” 9–25 as “mild” 26–43 as “moderate,” and 44–88 as “severe”. A cut-off value of 24 was adopted [38, 39].

Statistical Analysis

IBM SPSS Statistics Version 25.0 was used for all statistical analyses and calculations. Categorical data were expressed as number and percentage and were compared using the chi-square test. Normal distribution of data was assessed using the Kolmogorov–Smirnov test and normality plots. Non-normally distributed data were expressed as median values with interquartile ranges (IQRs). Non-normally distributed data were compared between two groups using the Mann–Whitney U test, and between more than two groups using the Kruskal–Wallis test. The forward method was employed in binary logistic regression analysis to identify potential risk factors for depression, anxiety, insomnia, and distress. Relationships between risk factors and results were expressed as Odds Ratio (OR) and 95% Confidence Interval (CI). p values < 0.05 were regarded as statistically significant.

Results

Participants’ Demographic Characteristics

Six hundred twenty (66.0%) of the 939 HCWs taking part in this study were female, 339 (36.1%) were aged 26–30, 617 (65.7%) were married, 580 (61.8%) were physicians, 820 (87.3%) were working in an urban area, and 529 (56.3%) had been working for less than 10 years. The analysis showed that 143 (15.2%) HCWs had a chronic disease identified as a risk for COVID-19, 123 (13.1%) had a history of psychiatric illness, and 96 (10.2%) reported receiving psychiatric support during the COVID-19 pandemic. Also, 569 (60.6%) participants reported working in the diagnosis, treatment, or care of COVID-19 patients. Two hundred forty-one (25.7%) had been tested for COVID-19, and 29 (3.1%) had contracted COVID-19 disease (Table 1).

Table 1

Healthcare workers’ demographic characteristics

Variables	Number	Percentages
Sex
Female	620	66.0
Male	319	34.0
Age (years)
18–25 year	108	11.5
26–30 year	339	36.1
31–40 year	276	29.4
> 40 years	216	23.0
Marital status
Married	617	65.7
Unmarried	322	34.3
Occupation
Physician	580	61.8
Nurse	254	27.1
Other	105	11.2
Urban	820	87.3
Rural	119	12.7
Working experience
< 10 years	529	56.3
≥ 10 years	410	43.7
Presence of chronic disease identified as a risk for COVID-19
Yes	143	15.2
No	796	84.8
History of psychiatric illness
Yes	123	13.1
No	816	86.9
Needed psychiatric support in the COVID-19 pandemic
Yes	96	10.2
No	843	89.8
Working position
Front line	569	60.6
Second line	370	39.4
Taking the COVID-19 test
Yes	241	25.7
No	698	74.3
Becoming a COVID-19 patient
Yes	29	3.1
No	910	96.9
Total	939	100.0

Prevalence of Depression, Anxiety, Insomnia, and Distress Symptoms

Seven hundred twenty-nine (77.6%) exhibited symptoms of depression, 565 (60.2%) anxiety symptoms, 473 (50.4%) insomnia symptoms, and 717 (76.4%) distress symptoms. Depression, anxiety, insomnia, and distress symptoms were higher in females than in males. Insomnia and distress symptoms were significantly higher in nurses than among physicians and other participants, while no difference was observed in terms of depression or anxiety symptoms. Depressive symptoms were significantly more prevalent among front line workers than second-line workers, but no difference was determined in terms of anxiety, insomnia, or distress. Significantly more depression, anxiety, insomnia, and distress symptoms were observed in participants with a history of psychiatric illness and receiving psychiatric support during the COVID-19 pandemic (Table 2).

Table 2

Comparison of depression, anxiety, insomnia, and distress scales by categories

	Categories	Totaln (%)	Sex n (%)		Occupation n (%)			Working position n (%)		Psychiatric illness n (%)		Psychiatric support n (%)
			Female	Male	Doctor	Nurse	Others	Front line	Second line	Yes	No	Yes	No
PHQ-9	Normal	210(22.4)	104 (16.8)	106(33.2)	137(23.6)	53(20.9)	20(19.0)	112(19.7)	98(26.5)	18(14.6)	192(23.5)	3(3.1)	207(24.6)
	Mild	376(40.0)	242 (39.0)	134(42.0)	236(40.7)	94(37.0)	46(43.8)	219(38.5)	157(42.4)	39(31.7)	337(41.3)	20(20.8)	356(42.2)
	Moderate	205(21.8)	160 (25.8)	45(14.1)	120(20.7)	62(24.4)	23(21.9)	146(25.7)	59(15.9)	31(25.2)	174(21.3)	27(28.1)	178(21.1)
	Moderately severe	90(9.6)	67 (10.8)	23(7.2)	56(9.7)	24(9.4)	10(9.5)	54(9.5)	36(9.7)	21(17.1)	69(8.5)	19(19.8)	71(8.4)
	Severe	58(6.2)	47 (7.6)	11(3.4)	31(5.3)	21(8.3)	6(5.7)	38(6.7)	20(5.4)	14(11.4)	44(5.4)	27(28.1)	31(3.7)
	p-value		< 0.001		0.669			0.003		< 0.001		< 0.001
GAD-7	Normal	374(39.8)	209 (33.7)	165(51.7)	245(42.2)	85(33.5)	44(41.9)	214(37.6)	160(43.2)	30(24.4)	344(42.2)	6(6.3)	368(43.7)
	Mild	387(41.2)	268 (43.2)	119(37.3)	227(39.1)	114(44.9)	46(43.8)	251(44.1)	136(36.8)	49(39.8)	338(41.4)	38(39.6)	349(41.4)
	Moderate	106(11.3)	80 (12.9)	26(8.2)	69(11.9)	31(12.2)	6(5.7)	60(10.5)	46(12.4)	25(20.3)	81(9.9)	2(25.0)4	82(9.7)
	Severe	72(7.7)	63 (10.2)	9(2.8)	39(6.7)	24(9.4)	9(8.6)	44(7.7)	28(7.6)	19(15.4)	53(6.5)	28(29.2)	44(5.2)
	p-value		< 0.001		0.114			0.142		< 0.001		< 0.001
ISI	Normal	466(49.6)	282 (45.5)	184(57.7)	324(55.9)	100(39.4)	42(40.0)	266(46.7)	200(54.1)	41(33.3)	425(52.1)	11(11.5)	455(54.0)
	Sub-threshold	335(35.7)	233 (37.6)	102(32.0)	188(32.4)	103(40.6)	44(41.9)	219(38.5)	116(31.4)	58(47.2)	277(33.9)	48(50.0)	287(34.0)
	Moderate	117(12.5)	89 (14.4)	28(8.8)	59(10.2)	42(16.5)	16(15.2)	72(12.7)	45(12.2)	18(14.6)	99(12.1)	29(30.2)	88(10.4)
	Severe	21(2.2)	16 (2.6)	5(1.6)	9(1.6)	9(3.5)	3(2.9)	12(2.1)	9(2.4)	6(4.9)	15(1.8)	8(8.3)	13(1.5)
	p-value		0.002		< 0.001			0.124		< 0.001		< 0.001
IES-R	Normal	222(23.6)	107 (17.3)	115(36.1)	144(24.8)	48(18.9)	30(28.6)	126(22.1)	96(25.9)	13(10.6)	209(25.6)	4(4.2)	218(25.9)
	Mild	416(44.3)	286 (46.1)	130(40.8)	277(47.8)	109(42.9)	30(28.6)	257(45.2)	159(43.0)	55(44.7)	361(44.2)	27(28.1)	389(46.1)
	Moderate	171(18.2)	119 (19.2)	52(16.3)	99(17.1)	45(17.7)	27(25.7)	113(19.9)	58(15.7)	30(24.4)	141(17.3)	30(31.3)	141(16.7)
	Severe	130(13.8)	108 (17.4)	22(6.9)	60(10.3)	52(20.5)	18(17.1)	73(12.8)	57(15.4)	25(20.3)	105(12.9)	35(36.5)	95(11.3)
	p-value		< 0.001		< 0.001			0.184		0.001		< 0.001

PHQ-9 9-item patient health questionnaire, GAD-7 7-item generalized anxiety disorder, ISI 7-item insomnia severity index, IES-R 22-item impact of event scale-revised

Depression, Anxiety, Insomnia and Distress Symptom Scores

All scores were significantly higher in females than in males. Depression and anxiety scores were higher in the 26–30 age groups than in other age groups. Only depression scores were significantly higher among workers in rural areas compared to those in urban areas. Depression and anxiety scores in participants working for 10 years or more were significantly higher than those working for less than 10 years. Nurses had higher insomnia and distress scores than the other two groups. All scores were significantly higher among participants with a history of psychiatric illness and requiring psychiatric support during the COVID-19 pandemic. All scores were higher in front line workers, but depression and insomnia scores were significantly higher. All scores were also higher among participants who had been tested for COVID-19, compared to those who had not. Depression and distress scores were significantly higher among patients who had not contracted COVID-19 disease (Table 3).

Table 3

Comparison of depression, anxiety, insomnia, and distress scales by scores

	PHQ-9 Mdn [IQR]	p	GAD-7 Mdn [IQR]	p	ISI Mdn [IQR]	p	IES-R Mdn [IQR]	p
Total	8.0[5.0–12.0]		6.0[3.0–8.0]		8.0[3.0–12.0]		18.0[9.0–32.0]
Sex
Female	9.0[6.0–13.0]	< 0.001	6.0[4.0–9.0]	< 0.001	8.0[4.0–13.0]	< 0.001	21.0[12.0–34.5]	< 0.001
Male	6.0[4.0–9.0]		4.0[2.0–7.0]		6.0[2.0–10.0]		14.0[5.0–24.0]
Age (years)
18–25	9.0[5.0–12.5]	< 0.001	5.0[2.0–9.0]	0.004	8.0[4.0–11.0]	0.489	16.0[6.5–29.5]	0.119
26–30	9.0[6.0–13.0]		6.0[3.0–9.0]		8.0[4.0–12.0]		20.0[11.0–32.0]
31–40	8.0[5.0–12.0]		5.0[3.0–8.0]		8.0[3.0–13.0]		19.0[9.0–34.0]
> 40	6.5[4.0–9.0]		5.0[2.0–7.0]		7.0[3.5–10.0]		18.0[8.0–29.0]
Marital status
Married	8.0[5.0–12.0]	0.024	5.0[3.0–8.0]	0.262	8.0[3.0–12.0]	0.999	19.0[9.0–33.0]	0.573
Unmarried	9.0[5.0–13.0]		6.0[3.0–9.0]		7.0[3.0–12.0]		17.0[9.0–29.0]
Urban	8.0[5.0–12.0]	0.198	5.0[3.0–8.0]	0.014	7.0[3.0–12.0]	0.382	18.0[9.0–31.5]	0.225
Rural	9.0[6.0–12.0]		7.0[4.0–9.0]		8.0[4.0–13.0]		22.0[11.0–33.0]
Length of time (years)
< 10	8.0[5.0–13.0]	0.002	6.0[3.0–9.0]	0.017	7.0[4.0–11.0]	0.891	19.0[10.0–31.0]	0.620
≥ 10	8.0[4.0–11.0]		5.0[2.0–8.0]		8.0[3.0–12.0]		18.0[9.0–32.0]
Occupation
Physician	8.0[5.0–12.0]	0.104	5.0[3.0–8.0]	0.033	7.0[3.0–11.0]	< 0.001	17.0[9.0–27.0]	< 0.001
Nurse	9.0[5.0–12.0]		6.0[4.0–9.0]		9.0[5.0–13.0]		21.0[12.0–37.0]
Other	8.0[5.0–13.0]		5.0[2.0–8.0]		8.0[4.0–13.0]		23.0[7.0–35.0]
Chronic disease
Yes	8.0[5.0–13.0]	0.669	5.0[3.0–9.0]	0.589	8.0[4.0–12.0]	0.525	21.0[12.0–35.0]	0.021
No	8.0[5.0–12.0]		6.0[3.0–8.0]		7.5[3.0–12.0]		18.0[9.0–30.0]
Psychiatric illness
Yes	10.0[6.0–16.0]	< 0.001	7.0[5.0–12.0]	< 0.001	10.0[6.0–14.0]	< 0.001	23.0[13.0–37.0]	< 0.001
No	8.0[5.0–12.0]		5.0[2.0–8.0]		7.0[3.0–11.0]		17.5[8.0–30.0]
Psychiatric support
Yes	14.0[10.0–20.5]	< 0.001	10.5[7.0–15.0]	< 0.001	13.5[10.0–18.0]	< 0.001	35.5[22.5–50.0]	< 0.001
No	8.0[5.0–11.0]		5.0[2.0–7.0]		7.0[3.0–11.0]		17.0[8.0–28.0]
Working position
Front line	8.0[5.0–12.0]	0.004	6.0[3.0–8.0]	0.068	8.0[4.0–12.0]	0.016	19.0[10.0–32.0]	0.208
Second line	8.0[4.0–11.0]		5.0[2.0–8.0]		7.0[3.0–11.0]		17.0[8.0–30.0]
COVID-19 test performed
Yes	9.0[5.0–14.0]	0.041	6.0[4.0–9.0]	0.009	8.0[4.0–13.0]	0.005	22.0[11.0–37.0]	0.002
No	8.0[5.0–12.0]		5.0[3.0–8.0]		7.0[3.0–11.0]		18.0[8.0–29.0]
COVID-19 disease
Yes	8.0[5.0–12.0]	0.020	6.0[3.0–8.0]	0.109	7.0[3.0–12.0]	0.055	18.0[9.0–31.0]	0.025
No	10.0[7.0–16.0)		7.0[4.0–11.0]		10.0[6.0–14.0]		22.0[16.0–43.0]

PHQ-9 9-item patient health questionnaire, GAD-7 7-item generalized anxiety disorder, ISI 7-item insomnia severity index, IES-R 22-item impact of event scale–revised, Mdn Median, IQR interquartile range

Risk Factors for Depression, Anxiety, Insomnia, and Distress

Female gender and history of psychiatric illness emerged as risk factors for depression, anxiety, insomnia, and distress symptoms. Having been tested for COVID-19 was a risk factor for insomnia and distress symptoms. Significant causal relationships were determined between depression and age and working on the front line, between anxiety and working in a rural area, and between insomnia and distress and occupation (Table 4).

Table 4

Risk factors for depression, anxiety, insomnia, and distress

	Predictors	OR	95% CI for OR		p
			Lower	Upper
Depression	Age	0.97	0.96	0.99	0.010
	Sexa	2.21	1.62	3.01	< 0.001
	A history of psychiatric illnessb	1.90	1.28	2.82	0.001
	Working positionc	1.55	1.16	2.07	0.003
Anxiety	Sexa	1.98	1.43	2.75	< 0.001
		0.50	0.33	0.75	0.001
	A history of psychiatric illnessb	2.43	1.64	3.61	< 0.001
	Taking the COVID-19 teste	1.49	1.08	2.07	0.015
Insomnia	Sexa	1.48	1.09	2.01	0.012
	Occupation: Others				< 0.001
	Physician	0.56	0.36	0.86	0.010
	Nurse	1.13	0.70	1.83	0.592
	A history of psychiatric illnessb	2.37	1.59	3.53	< 0.001
	Taking the COVID-19 teste	1.45	1.06	1.97	0.018
Distress	Sexa	1.77	1.30	2.42	< 0.001
	Occupation: Others				0.001
	Physician	0.45	0.29	0.69	< 0.001
	Nurse	0.63	0.39	1.01	0.059
	A history of psychiatric illnessb	1.85	1.25	2.75	0.002
	Taking the COVID-19 teste	1.46	1.07	1.99	0.015

aSex [Male = References],

bA history of psychiatric illness [No = References],

cWorking position [Second line = References],

dPlace of residence [Rural = Reference],

eTaking the COVID-19 test [No = Reference]

Discussions

This is the first study to evaluate the prevalence of depression, anxiety, distress, and insomnia and related factors in healthcare workers during the COVID-19 pandemic in Turkey. The prevalence of depression, anxiety, insomnia, and distress symptoms among the HCWs in the study were 77.6%, 60.2%, 50.4%, and 76.4%, respectively. The prevalence of depression, anxiety, insomnia, and distress in this research were high than those in other studies. Lai et al. reported prevalence of 50.4% (PHQ-9 ≥ 5) for depression, 44.6% (GAD-7 ≥ 5) for anxiety, 34.0% (ISI ≥ 8) for insomnia, and 71.5% (IES-R ≥ 9) for distress, while Zhang et al. reported prevalence of 50.7% (PHQ-9 ≥ 5), 44.7% (GAD-7 ≥ 5), 36.1%(ISI ≥ 8), and 73.4%(IES-R ≥ 9), respectively. Tian et al. reported prevalence of depression, anxiety, insomnia, and perceived stress of 45.6% (PHQ-9 ≥ 5), 20.7%(GAD-7 ≥ 5), 27.0%(ISI ≥ 8), and 60.8% (Perceived Stress Scale (PSS-10) ≥ 15), respectively, and Rossi et al. reported prevalence of 24.7%(PHQ-9 ≥ 15), 8.3%(GAD-7 ≥ 15), 21.9%(ISI ≥ 22), and 49.4% (Global Psycho Trauma Scale—post-traumatic stress disorder subscale GPS-PTSD ≥ 3), respectively. In their study of female HCWs, Li et al. reported a prevalence of 14.2% (PHQ-9 ≥ 10) for depression, 25.2% (GAD-7 ≥ 8) for anxiety, and 31.6% (IES-R > 33) for distress [29, 30, 40–42]. Very different values have been reported by several other studies [9, 43–46]. The use of different evaluation tools and methodologies in studies, and the use of different classifications even if the same scale was employed, leads to very different figures being reported for the prevalence of mental diseases [6]. In general terms, however, it appears that HCWs are experiencing widespread mental health problems during the COVID-19 pandemic. HCWs appear to have major needs for psychiatric support, both during and after the pandemic. The high incidence of mental health problems observed in the present study shows that HCWs in Turkey need psychiatric support now and in the future.

Greater depression, anxiety, insomnia, and distress symptoms were observed in this study in females, individuals with a history of psychiatric illness, and those requiring psychiatric support. Zhang et al. identified living in a rural area for HCWs, being at risk of contact with COVID-19 patients in hospitals, and having a disease as risk factors for insomnia and anxiety in HCWs. Female gender and having a disease emerged as risk factors for depression [43]. Lai et al. reported more severe depression, anxiety, insomnia, and distress symptoms among nurses, female, and front-line workers [29]. In Zhang et al.’s, the risk of insomnia increased as education level decreased among health personnel study. Being a physician was identified as a protective factor against insomnia. The authors attributed this to nurses’ workloads and night shifts, and to their being more in contact with risky patients than doctors [30]. Except for a few studies, nurses are generally reported to be at greater risk of psychological distress than physicians. In Liu et al.’s study, health worker anxiety did not increase in line with age, sex, education, marital status, location, or psychological counseling requirements [47]. Studies performed in the three years following the SARS outbreak in 2003 reported higher levels of burnout, psychological distress, post-traumatic stress disorder, and fear of potential infectious diseases in the future among HCWs. Adverse psychological impacts among HCWs were also reported following the Ebola epidemic due to the traumatic course of the infection, fear of death, and witnessing the deaths of others. The presence of a system that prevents moribund patients from bidding farewell to families and loved ones may cause feelings of guilt among HCWs. There are no normal routines for notifying deaths, and the news may have to be imparted over the phone or by video talk. HCWs witness patients dying alone, and then have to notify this traumatic state of affairs to families. This can lead to excessive stress and burnout among HCWs [19, 22, 25, 48, 49]. These difficulties have been shown to have a clear impact on the quality of sleep and to create an effect resembling post-traumatic stress disorder (PTSD) [44]. Individuals with PTSD are at greater risk of suicidal ideation, attempted suicide, and successful suicide. It should be remembered that HCWs are already in a risky profession. PTSD needs to be carefully considered in the subsequent period and requires a particular evaluation as a risk for suicide [50]. In the present study, being tested for COVID was associated with anxiety, insomnia, and distress. In Rossi et al.’s study, the death of a colleague was associated with PTSD, depression, and insomnia symptoms. Hospitalization of a colleague was associated with PTSD and a high level of perceived stress. A colleague being quarantined has been linked to PTSD, depressive symptoms, and high perceived stress [41]. In the present study, working for less than 10 years was associated with depression and anxiety. In Li et al.’s study, working for > 10 years, medical history including chronic non-infectious diseases and psychiatric illness history, and having ≥ 2 children were identified as joint risk factors for acute stress, while exercising was identified as a common protective factor against depression, anxiety, and acute stress symptoms in females [42]. Chew et al.’s study showed a significant association between the prevalence of physical symptoms among HCWs during the COVID-19 and psychological outcomes [46].

High levels of depression, anxiety, insomnia, and distress symptoms emerged as psychological difficulties experienced by HCWs in the present study. Despite these high rates of symptoms, only one in ten HCWs had received any psychiatric support. The Turkish Health Ministry has set up psychiatric support units and helplines for the COVID-19 pandemic in all the provinces of the country. At the same time, a Mental Health Support System (RUHSAD) application capable of use with smartphones has also been developed [51]. Several associations and institutions have also established helplines. Tele-psychiatric applications and local psychiatric support measures established by hospitals have also been introduced in several countries [52, 53]. In the present study, however, although HCWs experienced various psychiatric symptoms, they generally had not applied to receive such support. Institutions are needed that can evaluate psychiatric support requirements among HCWs.

Limitations

This study has some limitations. First, depression, anxiety, insomnia, and distress were evaluated by only online questionnaires, not with a psychiatric interview. Second, as we could not meet face to face with HCWs, detailed information about psychiatric illness history could not be obtained. Third, this article is a cross-sectional study. Longitudinal research is needed for the prevalence of these mental states in the COVID-19 pandemic process. Fourth, no information could be obtained about the type of psychiatric support received by HCWs. Although the study with the largest sample of studies in Turkey, particularly to work done in China in part is smaller than the number of samples. Further studies are warranted to address this issue.

Conclusions

HCWs in Turkey serving during the COVID-19 pandemic experience high levels of depression, anxiety, insomnia, and distress symptoms. Female gender, history of psychiatric illness, working as a nurse, working on the front line, and being tested for COVID-19 were identified as important risk factors for various mental health problems. HCWs require psychiatric support at which monitoring and control can be performed during and after the pandemic.