Risk Perception,Mental Health Impacts and Coping Strategies during Covid-19 Pandemic among Filipino Healthcare Workers

Abstract

Background

COVID-19 pandemic has caused an extraordinary situation, especially for the healthcare workers (HCWs), leading to increased psychological stress. The aim of the study was to estimate the prevalence of different grades of anxiety and depression across different centers in the Philippines and identify demographic factors associated with them.

Design and Method

A cross-sectional, web-based, multi-center study was conducted among HCWs of Philippines from April 20- May 20, 2020. The study instruments used were the Generalized Anxiety Disorder (GAD-7) scale and Patient Health Questionnaire (PHQ-9). Risk perception scores were analyzed using Mann-Whitney and Kruskal-Wallis test. Logistic regression was done to identify factors significantly associated with symptoms of anxiety and depression determined.

Results

A total of 516 HCWs were included in the study. Most of them have anxiety symptoms (70.74%), but only half of them have symptoms of depression (50.97%). In addition, gender, age, marital status, living status, occupation, work premises, and availability of mental health services were significantly associated with the participants' anxiety symptoms. In contrast, gender, marital status, occupation, and work premises were significantly associated with depression symptoms.

Conclusion

This study reiterates the fact and demonstrates that COVID-19 has disrupted the mental well-being of HCWs in the Philippines. Majority of HCW was psychologically affected by COVID-19. Therefore, there is a dire need to address mental illness amongst HCWs and frame guidelines based on proven algorithms to overcome these mental illnesses.

Keywords

Anxiety COVID-19 Depression Healthcare workers Mental health

Significance for public health

COVID-19 pandemic has severely affected all healthcare workers physically and psychologically. This study contributed to documenting the mental health condition of healthcare workers of the Philippines and the risk factors associated with them during COVID-19 pandemics. It also presented the gap that concerned authorities should play for the welfare of mental health conditions of healthcare workers in the time of pandemic.

Introduction

Time and again, different contagious diseases, including tuberculosis, smallpox, malaria, cholera, plague, AIDS, Ebola, the Severe Acute Respiratory Syndrome (SARS), and now COVID-19, have threatened and disrupted humans. The first case of COVID-19 was reported in December 2019.¹ Now, as per World Health Organization (WHO), as of 1 June 2021, a total of 170,363,852 confirmed cases and 3,546,870 death cases were reported globally.²

Pandemics ruin the lives of everyone. Among them, healthcare workers (HCWs) suffer significantly both physically and psychologically. Previous pandemics such as SARS in 2003 and H1N1 influenza in 2009 have been reported to cause psychological problems to HCWs.^3,4 Similarly, COVID-19 have also reported causing adverse effects on the mental health of study participants, including the healthcare population.^5–10 HCWs cannot stay at home and maintain social distancing as a preventive measure of infection. They are professionally and humanly responsible for playing a frontline role to save human life. Therefore, they are constantly at higher risk of infection due to direct contact with patients, as seen previously in other infectious diseases, namely SARS.^4,11 As a consequence of COVID-19, HCWs are under immense psychological pressure and suffer from mental illness, as experienced during SARS and H1N1 epidemics.¹²

Healthy and well-equipped HCWs are the essential weapons to combat the current pandemic. Therefore, various guidelines for precautions and preventive measures are prepared for HCWs.^13,14 Unfortunately, mental well-being is not much prioritized. Furthermore, the recent reports of shortages of personal protective equipment in different countries have aggravated the risk of mental illness among HCWs.¹⁵ WHO identified the various hazards, namely exposure to the virus, increased workload, fatigue, occupational burnout, psychological distress and physical as well as psychological violence, which have put HCWs at an increased risk of infection.¹⁶ Thus, there is an unmet need to tackle the mental illness of HCWs during the stressful conditions of pandemic.¹⁷ To overcome this challenge, it is important to identify and measure mental health triage among HCWs. This multicenter study sought to estimate the anxiety and depression symptoms among HCWs across different centers in the Philippines. Additionally, we aimed to identify demographic factors associated with mental illness among participants.

Design and Method

Study design

This cross-sectional study was conducted by recruiting HCWs living in the three main island groups in the Philippines: Luzon, Visayas, and Mindanao. The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) criteria was employed in administering the web form.¹⁸ Participants were explained regarding the procedure of study, explaining their voluntary participation and confidentiality of the data. Afterward, informed consent was obtained in the Google Forms document. This was a closed and voluntary survey with no incentives, and initial contact with all participants was made via the Internet. The survey was announced through electronic mailing lists on WhatsApp, Telegram, and other social media due to movement restrictions. Completeness checks were performed by allowing submission only after mandatory answering of all questions, and multiple entries from the same individual were prevented via mandatory email address registration

Study participants and sample size

The data collection was conducted for one month from April 20^th to May 20^th, 2020. Participants were recruited from all healthcare sectors, including doctors, nurses, medical assistants, laboratory technicians, public health practitioners working at either the government or private healthcare institute. The criteria for selecting participants were that adults who were 18 years old and above and had resided in the Philippines for a minimum of one week during the COVID-19 pandemic, as per the announcement made by the WHO.

The sample size was calculated with the prevalence of self-reported depressive symptoms among HCWs in China (50.4%) with 95% confidence interval and 5% precision (10). Therefore, the estimated sample size required was 384 participants. However, the final sample size for the study was estimated at 768 considering a 50% attrition rate, and the overall response rate of the survey was 67.2%, i.e. 516 participants responded.

Study instrument

The survey questionnaire included five sections as follow: (i) demographic characteristics such as nationality, gender, age, religion, marital status, living status during COVID-19 pandemic, and work-related questions; (ii) Generalized Anxiety Disorder (GAD-7) scale;¹⁹ (iii) Patient Health Questionnaire (PHQ-9);²⁰ and (iv) questions adapted from Dai Y et al. regarding the risk perception among HCWs.²¹ The GAD-7 and PHQ-9 were validated scales. Meanwhile, the content validation score for the risk perception and coping strategies items were 87% evaluated by five professors in public health.

The GAD-7 questionnaire assessed the anxiety level among the participants. The responses were recorded as “Not at all= 0”, “Several days =1”, “More than half of the days = 2”, “Nearly every day= 3”. The total scoring was calculated and based on the score obtained, participants were classified as having symptoms of anxiety (0-4) or normal (>4). Participants having symptoms of anxiety were further classified depending upon the score into mild (5-9), moderate (10-14), and severe (15-21). The validated PHQ-9 questionnaire was used to assess the depression level among the participants. The responses were recorded as “Not at all= 0”, “Several days =1”, “More than half of the days = 2”, “Nearly every day= 3”. Similar to anxiety, the total scoring was calculated for depression scale. Based on the score obtained, participants were classified into normal (0-4) or have symptoms of depression (>4) which was further classified into mild (5-9), moderate (10-14), moderately severe (15-19), and severe (20-27).

The risk perception of the participants was assessed by using six items. The responses were recorded as “Agree = 2”, “Neutral = 1” and “Disagree = 0”. The individual item means score and the total mean score (range: 0-12) was calculated. The higher score indicated a higher level of risk perception.

Statistical analysis

Descriptive statistics using count and proportion were used to summarize the participants' socio-demographic profiles according to their occupation. Prevalence of anxiety and depression was computed for all participants and was correlated with the socio-demographic profile. Risk perception scores were summarized by median and Interquartile range (IQR) and compared according to different grouping variables using the Mann-Whitney or Kruskal-Wallis test. A horizontal bar graph visually identified the common coping strategies set by HCWs to overcome psychological burden during the COVID-19 pandemic. Logistic regression was done to identify significant factors associated with severe anxiety and severe depression among Filipino HCWs.

Results

Demographics

A total of 516 HCWs were included in the study. Most of the participants were doctors, aged 25-60 years, with more than 10 years of experience working in hospitals providing direct patient care. Majority of included participants were Christian, single, and living with their families. In this current time of the COVID-19 pandemic, most participants have provided healthcare to COVID-19 patients. However, only few doctors (105, 24.8%) and nurses (8, 9.20%) had access to mental health services at their respective workplaces; of those with available services, even fewer participants availed mental health support (Table 1).

Anxiety

Most participants reported having varying degrees of symptoms of anxiety. There were higher proportions of doctors with anxiety symptoms than nurses, but most of these doctors had mild anxiety symptoms than most of these nurses with moderate anxiety. Participants who cared for COVID-19 patients had a lower proportion of anxiety symptoms than those who did not care for COVID-19 patients. The majority of those with available mental health services had mild anxiety symptoms compared to those without available mental health services who had moderate to severe anxiety symptoms (Table 2).

Depression

Half of the participants had symptoms of depression in varying degrees of severity. There were lower proportions of doctors with symptoms of depression than nurses, and most were in a mild form. Most nurses with the symptom of depression were to a moderate degree. Nearly 50% of participants who directly cared for COVID-19 patients and those who did not directly care for COVID-19 patients had symptoms of depression. Availability of mental health services did not affect the prevalence of participants having symptoms of depression (Table 3).

Risk perception

All participants agreed or were neutral to the first four questionnaire statements to assess the risk perception. However, some participants disagree with statements 5 and 6 (Figure 1).

At least one occupation has significantly different risk perception score distribution/ mean ranks. Post-hoc Dunn test shows that doctors have significantly lower risk perception score mean ranks than nurses (p<0.0001); others have significantly lower risk perception score mean ranks than nurses (p=0.0088); no sufficient evidence to conclude that there is a difference in risk perception score mean ranks between doctors and others (p=0.2497).

Males have significantly lower risk perception score mean ranks than females (p<0.0001). However, there is no sufficient evidence to conclude that there is a difference in risk perception score mean ranks between gender (Table 4).

Coping strategies

The common (more than 80% of participants) coping strategies practice among HCWs included in our study were positive thinking, family support, and praying (Figure 2).

Factors associated with anxiety

Significant factors predicting severe anxiety symptoms among HCWs in our study were gender, age, marital status, living status, occupation, work premises, and availability of mental health services (Table 5). Controlling for all other factors, we found the following: i) females had lower odds of having severe anxiety symptoms than males; ii) higher age groups had higher odds of having severe anxiety symptoms than those aged less than 25 years; iii) single (unmarried) participants had lower odds of having severe anxiety symptoms than married participants; iv) those living with the family at this time of the COVID-19 pandemic had lower odds of having severe anxiety symptoms than those living alone; v) nurses and participants of other occupations had higher odds of having severe anxiety symptoms than doctors; vi) those who worked in ICU had higher odds of having severe anxiety symptoms than those who did not; vii) those with available mental health services at their workplace had lower odds of having severe anxiety symptoms than those without.

Interestingly, at this time of the COVID-19 pandemic, there is no supporting evidence that taking care of COVID-19 patients will have greater odds of having severe anxiety symptoms than those who do not.

Factors associated with depression

Significant factors predicting severe depressive symptoms among HCWs included in our study were gender, marital status, occupation, workplace, and work premises (Table 6). Controlling for all other factors, we found the following: i) females had lower odds of having severe depressive symptoms than males; ii) single (unmarried) participants had lower odds of having severe depressive symptoms than married participants; iii) nurses and participants of other occupations had higher odds of having severe depressive symptoms than doctors; iv) those who worked in clinics and other places had higher odds of severe depressive symptoms than those in hospitals; v) those who worked in ICU had lower odds of having severe depressive symptoms than those who did not.

Table 1.

Socio-demographic characteristics and occupation of participants (n=516).

	Occupation (%)
	Doctors	Nurses	Others^a
Gender
Male	212 (50.12)	14 (16.09)	4 (66.67)
Female	211 (49.88)	73 (83.91)	2 (33.33)
Age
≤25 years	4 (0.95)	6 (6.90)	6 (100)
26-40 years	190 (44.92)	35 (40.23)	-
41-60 years	229 (54.14)	38 (43.68)	-
≥61 years	-	8 (9.20)	-
Religion
Christianity	385 (91.02)	87 (100)	6 (100)
Islam	38 (8.98)	-	-
Marital status
Married	106 (25.06)	53 (60.92)	4 (66.67)
Single^b	317 (74.94)	34 (39.08)	2 (33.33)
Living status
Family	357 (84.40)	87 (100)	6 (100)
Friends	28 (6.62)	-	-
Alone	38 (8.98)	-	-
Duration of working experience
<2years	-	-	4 (66.67)
2-5 years	4 (0.95)	29 (33.33)	2 (33.33)
6-10 years	34 (8.04)	6 (6.90)	-
>10 years	385 (91.02)	52 (59.77)	-
Current workplace
Hospitals	351 (83.37)	56 (65.88)	-
Clinics	44 (10.45)	27 (31.76)	2 (33.33)
Laboratory	22 (5.23)	-	-
Others^c	4 (0.95)	2 (2.35)	4 (66.67)
Working in ICU	116 (27.42)	6 (6.90)	-
Working position
Direct patient care	405 (95.74)	85 (97.70)	2 (33.33)
Indirect patient care	18 (4.26)	2 (2.30)	4 (66.67)
Caring for COVID-19 patients	299 (70.69)	54 (62.07)	-
Access to mental health services	105 (24.82)	8 (9.20)	-
Getting mental health support	26/105 (24.76)	0/8 (0)	-

Others (occupation) included medical assistants, laboratory technicians, pharmacists, research scientists, etc.

Participants who are widowed, divorced and who never married.

Others(workplace) included pharmacy, public health office, research institute, medical university, etc.

Table 2.

Prevalence of anxiety among the healthcare workers (n=516).

	GAD-7 (Anxiety, %)
	Normal	Mild	Moderate	Severe
Total	151 (29.26)	188 (36.43)	149 (28.88)	28 (5.43)
Occupation
Doctor	119 (28.13)	176 (41.61)	106 (25.06)	22 (5.20)
Nurses	32 (36.78)	8 (9.2)	43 (49.43)	4 (4.60)
Others	-	4 (66.67)	-	2 (33.33)
Gender
Male	44 (19.13)	94 (40.87)	76 (33.04)	16 (6.96)
Female	107 (37.41)	94 (32.87)	73 (25.52)	12 (4.20)
Caring for COVID-19 patients
Yes	109 (30.88)	126 (35.69)	94 (26.63)	24 (6.80)
No	42 (25.77)	62 (38.04)	55 (33.74)	4 (2.45)
Available mental health services
Yes	25 (22.12)	72 (63.72)	10 (8.85)	6 (5.31)
No	126 (31.27)	116 (28.78)	139 (34.49)	22 (5.46)

Figure 1.

Risk perception to COVID-19 among the healthcare workers (n=516).

Figure 2.

Coping strategies practiced among healthcare workers to overcome psychological burden during COVID-19 pandemic.

Interestingly, at this time of the COVID-19 pandemic, there is no supporting evidence that taking care of COVID-19 patients will have greater odds of having severe depressive symptoms than those who do not.

Discussion

Intending to identify mental health status among HCWs across different healthcare centers in the three islands of the Philippines, we conducted this study.

The study found that 5% and 29% of participants had severe and moderate levels of anxiety symptoms, respectively. A recent meta-analysis revealed the prevalence of anxiety in HCWs during the COVID-19 pandemic was 23%.²² However, another multi-center study conducted in India and Singapore demonstrated only 8.7% of anxiety prevalence.²³ A higher proportion of doctors had anxiety symptoms than nurses; however, doctors majorly had a mild form of symptoms of anxiety and nurses had moderate. However, a recent report reported that the prevalence of anxiety was higher in nurses (27.9%) than doctors (11.4%).²⁴ Surprisingly, HCWs who cared for COVID-19 patients, had lower proportions of anxiety scores than those who did not.

Undoubtedly, the availability of mental health services resulted in better outcomes, as depicted by a lower proportion of HCWs with moderate anxiety symptoms than those who did not have available mental health services. We also identified gender, age, marital status, living status (alone or with family/friends), occupation, working place (ICU or not), and availability of mental health services as significant factors that predicted anxiety symptoms among these HCWs. Male HCWs of age more than 25 years, single unmarried, living alone, nurses and of other occupations, working in ICU, and without available mental health services had higher odds of developing severe anxiety symptoms than their counterparts. Zhu et al. identified that the prevalence of anxiety was higher in females than our finding.²⁴ Interestingly, there was no correlation between caring for COVID-19 patients and the odds of having anxiety symptoms in our study. However, Lai et al. reported that the HCWs who were directly in contact with COVID-19 infected patients were associated with higher risk symptoms of anxiety [odds ratio (OR),1.57; 95% confidence interval (CI), 1.22-2.02; P < 0.01].²⁵ Additionally, Chew et al. reported the association of stress level with physical symptoms.²³ In addition to HCW, the general population also suffers from clinically significant anxiety levels, and 28.8% population was reported to have moderate to severe anxiety in a Chinese cohort of the general population.²⁶

Table 3.

Prevalence of depression among the healthcare workers (n=516).

	Normal	Mild	PHQ-9 (Depression, %) Moderate	Moderately severe	Severe
Total	253 (49.03)	168 (32.56)	69 (13.37)	22 (4.26)	4 (0.78)
Occupation
Doctor	215 (50.83)	152 (35.93)	36 (8.51)	16 (3.78)	4 (0.95)
Nurses	38 (43.68)	14 (16.09)	31 (35.63)	4 (4.60)	-
Others	-	2 (33.33)	2 (33.33)	2 (33.33)	-
Gender
Male	104 (45.22)	76 (33.04)	38 (16.52)	10 (4.35)	2 (0.87)
Female	76 (33.04)	92 (32.17)	31 (10.84)	12 (4.20)	2 (0.70)
Caring for COVID-19 patients
Yes	171 (48.44)	124 (35.13)	38 (10.76)	16 (4.53)	4 (1.13)
No	82 (50.31)	44 (26.99)	31 (19.02)	6 (3.68)	-
Available mental health services
Yes	57 (50.44)	30 (26.55)	22 (19.47)	4 (3.54)	-
No	196 (48.64)	138 (34.24)	47 (11.66)	18 (4.47)	4 (0.99)

Table 4.

Risk perception scores to COVID-19 among the healthcare workers (n=516) Mann-Whitney test/ Kruskal-Wallis, as appropriate.

Variables	Total score (Median, Min-Max)	Mean ranks	p
Over-all	12 (6-12)
Occupation			0.0001
Doctor	12 (6-12)	243
Nurses	12 (10-12)	336
Others	11 (11-12)	208
Gender			0.0266
Male	12 (6-12)	245
Female	12 (6-12)	270
Caring for COVID-19 patients		0.3021
Yes	12 (6-12)	262
No	12 (9-12)	250
Available mental health services		0.3157
Yes	12 (6-12)	269
No	12 (6-10)	256

Like anxiety, depression is also a global concern. The prevalence of depression was found to be 22.8%in the HCWs according to the recent meta-analysis.²² In our study, the PHQ-9 analysis revealed that around 51% of the study population had symptoms of depression at different levels. Nearly 49% and 52% of doctors and nurses were found to have symptoms of depression during the survey period, respectively; 55% and 64% of male and female HCWs had symptoms of depression, respectively. On the contrary, Zhu et al. reported that slightly lower: 46% and 43% of doctors and nurses suffered from depression, respectively.²⁴ However, caring for COVID-19 patients and the availability of mental health services did not make an impact to the proportion of HCWs suffering from depression. In the Chinese population, it was reported that 50.4% of HCWs exhibited symptoms of depression associated with the engagement with COVID-19 patients (OR, 1.52; 95% CI, 1.11-2.09; P = 0.01).²⁵ Thus, the proportion of HCWs who had depression symptoms could be correlated with the risk perception to COVID-19. The factors associated with predicting symptoms of severe depression included gender (males had higher odds of developing severe depression than females), marital status (married people had higher odds than single people), occupation (doctors had lower odds than any other occupant), workplace (those who worked at hospitals had higher odds than those who worked elsewhere), and working in ICU (those who did not work in ICU had higher odds than those who did). Nurses had a higher risk perception than doctors and other occupants (p<0.0001). Notably, the risk perception was not different between HCWs caring for COVID-19 patients or caring for non-COVID-19 patients and between HCWs who had mental health services and who did not have mental health services.

Table 5.

Factors associated with severe anxiety symptoms^a among the healthcare workers.

Variables	Number of severe cases (%)	Univariable OR (95% CI)	p	Multivariable Adjusted OR (95% CI)	p
Gender
Male	92 (40)	Reference
Female	85 (29.72)	0.63 (0.44-0.91)	0.015	0.33 (0.2-0.53)	<0.001
Age
≤25 years	4 (25)	Reference
26-40 years	71 (31.56)	1.38 (0.43-4.44)	0.586	8.05 (1.46-44.36)	0.017
41-60 years	96 (35.96)	1.68 (0.53-5.37)	0.378	12.64 (2.28-69.93)	0.004
≥61 years	6 (75)	9 (1.27-63.89)	0.028	22.33 (2.17-230.16)	0.009
Religion
Christianity	177 (37.03)	Reference
Islam	0 (0)	-	-
Marital status
Married	112 (31.73)	Reference
Single^b	65 (39.88)	0.7 (0.48-1.03)	0.070	0.58 (0.35-0.96)	0.034
Staying with
Alone	24 (63.16)	Reference
Friends	0 (0)	-	-	-	-
Family	153 (34)	0.3 (0.15-0.6)	0.001	0.19 (0.08-0.42)	<0.001
Occupation
Doctors	128 (30.26)	Reference
Nurses	47 (54.02)	2.71 (1.69-4.33)	<0.001	4.5 (2.39-8.48)	<0.001
Others^c	2 (33.33)	1.15 (0.21-6.37)	0.871	8.62 (0.75-99.61)	0.084
Work experience
<2years	2 (50)	Reference
2-5 years	21 (60)	1.5 (0.19-11.93)	0.702
6-10 years	6 (15)	0.18 (0.02-1.51)	0.113
>10 years	148 (33.87)	0.51 (0.07-3.67)	0.506
Workplace
Hospitals	150 (36.86)	Reference
Clinics	25 (34.35)	0.89 (0.53-1.51)	0.670
Laboratory	0 (0)	-	-
Others^d	0 (0)	-	-
Working in ICU	64 (52.46)	2.74 (1.81-4.16)	<0.001	3.78 (2.29-6.23)	<0.001
Working position
Direct patient care	177 (35.98)	Reference
Indirect patient care	0 (0)	-	-
Caring for COVID-19	118 (33.43)	0.89 (0.6-1.31)	0.538
patients
Available mental health services	16 (14.16)	0.25 (0.14-0.44)	<0.001	0.14 (0.07-0.27)	<0.001
Getting mental health support	2/26 (7.69)	0.28 (0.1-0.81)	0.019

Participants who had GAD-7 total score of ≥10 are considered to have severe anxiety symptoms.25

Participants who are widowed, divorced and who never married.

Others (occupation) included medical assistants, laboratory technicians, pharmacists, research scientists, etc.

Others (workplace) included pharmacy, public health office, research institute, medical university, etc.

Our study found that the nurses had a higher prevalence of symptoms associated with mental illness. This could be attributed to nurses being more exposed to the COVID-19 patients in the ward, providing direct care to the patients, and collecting samples for the diagnostic tests.

In addition to depression and anxiety, other mental illnesses such as insomnia, distress, and post-traumatic stress disorder were also reported among HCWs during the COVID-19 pandemic.^23,25 In one study, insomnia was reported in 34.0% of HCWs and was associated with direct contact with COVID-19 patients (OR, 2.97; 95% CI, 1.92-4.60; p<0.001); distress was reported in 71.5% of HCWs and was associated with direct contact with COVID-19 patients (OR, 1.60; 95% CI, 1.25-2.04; p<0.001).²⁵ Another study reported stress and psychological distress in 2.2% of and 3.8% of HCWs, respectively.²³ The mental health of all HCWs was found similar globally. Even in the general population, COVID-19 resulted in psychological impact (53.8%) and stress (8.1%).²⁶ However, Cheung et al. reported that the HCWs are more prone to anxiety, burnout, and mental exhaustion during the pandemic.²⁷ A German study reported high levels of anxiety and depression among doc-tors.²⁸ It is known that unattended psychological issues result in intense pressure, prompting the individual to commit suicide. West et al., reported that physicians are at an increased risk of suicide than the general population.²⁹ Unfortunately, Montemurro et al., reported that accumulated psychological pressure and intense fear of death led to incidences of suicide amongst HCWs.³⁰

Table 6.

Factors associated with the prevalence of severe depressive symptoms^a among the healthcare workers.

Variables	Number of severe cases (%)	Univariable OR (95% CI)	p	Multivariable Adjusted OR (95% CI)	p
Gender
Male	50 (21.74)	Reference
Female	45 (15.73)	0.67 (0.43-1.05)	0.081	0.37 (0.21-0.66)	0.001
Age
≤25 years	4 (25)	Reference
26-40 years	39 (17.33)	0.63 (0.19-2.05)	0.442
41-60 years	46 (17.23)	0.62 (0.19-2.02)	0.432
≥61 years	6 (75)	9 (1.27-63.89)	0.028
Religion
Christianity	95 (19.87)	Reference
Islam	0 (0)	-	-
Marital status
Married	40 (11.33)	Reference
Single^b	55 (33.74)	0.25 (0.16-0.4)	<0.001	0.4 (0.24-0.66)	<0.001
Staying with
Alone	4 (10.53)	Reference
Friends	4 (14.29)	1.42 (0.32-6.23)	0.645
Family	87 (19.33)	2.04 (0.7-5.89)	0.189
Occupation
Doctors	56 (13.24)	Reference
Nurses	35 (40.23)	4.41 (2.64-7.36)	<0.001	3.7 (1.94-7.06)	<0.001
Others^c	4 (66.67)	13.11 (2.35-73.23)	0.003	2.32 (0.31-17.65)	0.415
Work experience
< 2years	2 (50)	reference
2-5 years	23 (65.71)	1.92 (0.24-15.35)	0.540
6-10 years	6 (15)	0.18 (0.02-1.51)	0.113
>10 years	64 (14.65)	0.17 (0.02-1.24)	0.081
Workplace
Hospitals	64 (15.72)	reference
Clinics	25 (34.25)	2.79 (1.61-4.85)	0.000	2.53 (1.26-5.11)	0.009
Laboratory	0 (0)	-	-	-	-
Othersd	6 (60)	8.04 (2.21-29.29)	0.002	5.5 (1.19-25.3)	0.029
Working in ICU	14 (11.48)	0.5 (0.27-0.92)	0.026	0.77 (0.4-1.49)	0.437
Working position
Direct patient care	89 (18.09)	reference
Indirect patient care	6 (25)	1.51 (0.58-3.91)	0.397
Caring for COVID-19 patients	58 (16.43)	0.67 (0.42-1.06)	0.089
Available mental health services	26 (23.01)	1.45 (0.87-2.41)	0.155
Getting mental health support	4/26 (15.38)	0.67 (0.23-1.96)	0.462

Participants who had PHQ-9 total score of ≥10 are considered to have severe depressive symptoms.²⁵

Participants who are widowed, divorced and who never married.

Others (occupation) included medical assistants, laboratory technicians, pharmacists, research scientists, etc.

Others (workplace) included pharmacy, public health office, research institute, medical university, etc.

Additionally, the spread of infection to colleagues, friends, and family, lack of protective gear, and medical violence contributed to the psychological burden among HCWs.^21,31 Xiao et al., negatively correlated the level of social support with the prevalence of anxiety and stress.³² Therefore, in addition to the mental health services, coping strategies to combat psychological disorders at an individual level should be encouraged. Our study found that the HCWs practiced different coping strategies to overcome the challenging psychological burden during this pandemic. The most commonly used coping strategies included positive thinking, family support, and praying.

In addition to the fear of getting infected, HCWs often fear spreading the virus to their families, friends, and colleagues. To avoid this, HCWs are often suggested to undergo quarantine if exposed to high-risk situation. During the SARS epidemic, it was observed that HCWs who were quarantined, had more symptoms of post-traumatic stress disorder than those who were not quarantined.⁴ Additionally, it was also observed that the HCWs who worked directly in the SARS hospitals and units reported anxiety, fear, frustration, and depression.^4,10 To this end, early interventions should be focused to acknowledge the global concern of mental illness among HCWs during the COVID-19 pandemic. Kang et al., showed that early health support was essential even when the psychological symptoms were mild.³³ A digital learning package was introduced in the UK within the first three weeks of COVID-19 outbreak in UK.³⁴ This package included evidence-based guidance and support for the HCWs.

Additionally, it included signposting related to the mental well-being of the HCWs during the pandemic.³⁴ Such efforts should be made globally. In addition to this, other approaches can also be employed to support HCWs psychologically. These approaches include virtual clinics, chat lines, remote psychological therapies, psycho-education, and social support. It could not be emphasized that the mental well-being of HCWs is of utmost importance in providing medical support during the COVID-19 pandemic. With this study, we contribute to the data pool, which will help assessing healthcare providers' mental health status.

Conclusion

COVID-19 has tremendously impacted HCWs and has rendered them prone to mental fatigue and mental illnesses such as anxiety and depression. With this study, we reiterate this fact and demonstrate how COVID-19 has disrupted the mental well-being of HCWs in the Philippines. Irrespective of age, gender, occupation, and work profile, every HCWs is psychologically affected by COVID-19. Different risk factors are associated with the severity of illness, and HCWs have identified different coping strategies to combat these illnesses. Despite these coping mechanisms, there is a dire need to address the mental illness amongst HCWs and frame guidelines based on the proven algorithms to overcome these mental illnesses.

Footnotes

Contributions: RRM and MNH conceived and designed the study. RRM and UC performed validation and reliability of the questionnaire. RRM and EQV collected the data. EQV conducted the statistical analysis and interpretation of the findings. UC, RRM, EQV and MNH wrote the initial draft. UC and RRM wrote the final manuscript. RS and SS critically reviewed and finalized the manuscript. All authors read and approved the final version of this manuscript.

Conflict of interest: The authors declare that they have no conflict of interest.

Funding: No funding was received for this particular study.

Ethics approval and consent to participate: Ethical approval was granted by the Research Ethics Committee from Asia Metropolitan University (AMU), Project Ref No: AMU/MREC/FOM/NF/03/2020.

Availability of data and material: All the data supporting our findings have been presented in the manuscript; the datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Patient consent for publication: Consent from the patient for the publication was taken before collecting the data from them.

Informed consent: Written informed consent was obtained from a legally authorized representative(s) for anonymized patient information to be published in this article

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