What this is
- This research investigates the prevalence of anxiety and depression among frontline healthcare workers (HCWs) in Bangladesh during the COVID-19 pandemic.
- It identifies factors correlated with mental health concerns and evaluates the psychometric properties of the Bangla version of the ().
- Data were collected from 803 HCWs through an online survey, revealing high levels of anxiety and depression.
Essence
- Anxiety and depression are prevalent among HCWs in Bangladesh during the COVID-19 pandemic, with 69.5% experiencing anxiety and 39.5% experiencing depression. Factors such as gender, health status, and lifestyle behaviors are significantly associated with these mental health issues.
Key takeaways
- 69.5% of HCWs screened positive for anxiety, while 39.5% screened positive for depression. These high prevalence rates underscore the mental health crisis faced by HCWs during the pandemic.
- Female HCWs and those with moderate to poor health status reported higher levels of anxiety and depression. This indicates the need for targeted mental health interventions for vulnerable groups.
- Lifestyle factors such as infrequent physical exercise and smoking were associated with increased anxiety and depression. Addressing these modifiable factors may help improve mental health outcomes among HCWs.
Caveats
- The study's cross-sectional design limits causal inferences about the relationships between mental health and associated factors. Longitudinal studies are needed to better understand these dynamics.
- The sample may not fully represent the broader population of HCWs in Bangladesh, as it was derived from a convenience sample. This could affect the generalizability of the findings.
- Self-reported measures of mental health symptoms may differ from clinical assessments, potentially leading to under- or overestimation of anxiety and depression levels.
Definitions
- Hospital Anxiety and Depression Scale (HADS): A self-reported questionnaire used to assess anxiety and depression symptoms, consisting of 14 items divided into two subscales.
AI simplified
Background
The emergence of a novel coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS CoV-2), which causes coronavirus disease 2019 (COVID-19), has substantially impacted healthcare systems globally. The COVID-19 pandemic has generated a public health crisis worldwide [1]. The World Health Organization (WHO) declared it an international public health emergency [2]. According to the WHO, there have been over 31.1 million confirmed cases of COVID-19, including 962,008 deaths as of September 22, 2020 [3]. Globally, there have been more deaths from COVID-19 than from severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) combined, although there has been a relatively lower death rate for COVID-19 among people infected with SARS CoV-2 [4]. Currently, no fully effective treatment has been developed for treating patients with COVID-19 [5]. This global pandemic poses a huge challenge for local healthcare services. As the number of patients with COVID-19 increases, health resources, including inpatient or intensive care beds, ventilators, medications, and personal protective equipment (PPE), have at times been limited. With fewer resources, health care workers (HCWs) may experience considerable pressure and anxiety [1, 6].
Frontline HCWs during the COVID-19 pandemic may be at considerable risk of developing mental problems [7, 8], as HCWs were during SARS or Ebola outbreaks [9]. Frontline HCWs directly involved in diagnosing and treating COVID-19 patients may experience mental distress and other mental health concerns [7, 10]. The large number of confirmed and suspected cases, disproportionate workloads, shortages of PPE and medications, extensive media attention, and feelings of insufficient assistance may predispose to emotional strain in HCWs [10â12]. Prior studies have reported that HCWs feared for contagion and contamination of their family, friends, and colleagues [13], felt insecurity and shame, reported unwillingness to work or contemplate resignation [14], and frequently reported stress, anxiety, and depression [15, 16]. Thus, understanding shorter- and longer-term mental impacts on HCWs is important.
During the SARS epidemic, 29%-35% of HCWs experienced considerable distress [17]. Several years after the outbreak, 10% of healthcare staff reported symptoms of post-traumatic stress disorder (PTSD) [18]. Individuals who had experienced quarantines or served in wards treating infected patients were two- or three-fold more likely to experience PTSD [18].
Timely interventions are important for improving the mental resilience of HCWs and optimizing function of healthcare systems [19]. Effective communication, restriction of shift hours, provision of rest areas and broad access to them, availability and appropriate management of PPE, and advanced training on COVID-19 may minimize HCWsâ anxiety [20].
Bangladesh, where the present study was conducted, is a South Asian country whose healthcare system has been considerably impacted by COVID-19. Bangladesh has experienced numerous COVID-19 patients, lack of preparedness, and shortages of hospital beds and other items relevant to COVID-19 patient care. In Bangladesh, the virus was first reported on March 8, 2020 [21â23]. Since then, the virus quickly spread and there have now been more than 352,178 cases and 5,007 deaths at the time of writing (September 22, 2020) [24]. According to recent reports of the Bangladesh Medical Association, there were 8,125 infected cases of HCWs including doctors, nurses, and other staff with 117 fatalities (115 physicians and 2 dental surgeons) [25, 26]. Moreover, there is also an acute shortage of medical practitioners, including physicians, nurses and medical personnel in this country. Bangladesh has 0.79 hospital bed per 10,000 population, while China has 4.31, and the USA has 2.87 beds per 1,000 people [27]. Moreover, the government health department of Bangladesh has only 432 ICU beds in total (total population 170 million), only 110 of which are placed outside the capital city, Dhaka. The private healthcare sector has an additional 737 ICU beds [28, 29]. The Bangladesh government has published an act describing the rules of infectious disease management and the allocation of staff; it declared an emergency response committee to monitor the spread of the infection [30]. The number of HCWs is insufficient as the number of positive patients has been rising rapidly, overwhelming HCWs who are in contact with these positive patients. To reduce the transmission, the government published a plan, identifying six basic country-wide response measures. The government also implemented a plan to form a 500-person local response committee covering the country along with the national Rapid Response Committee (RRC) and the Rapid Response Team (RRT). Additionally, 500 hospital beds were prepared for the treatment of COVID patients [31]. Hence, the government of Bangladesh took important steps, and applied these at a national level for the prevention of transmission of the virus [32], although there exist various macro or microsystemic reasons for why the WHO recommendations sometimes cannot be fully followed [33].
During the pandemic, HCWs have been experiencing heavy workloads and shortages of PPE, and these and other factors may increase anxiety [6, 34]. Shortcomings in COVID-19 testing facilities may worsen the situation [35]. There is no specific working schedule for HCWs and sometimes they are required to work up to 17 hours per day [36]. In this study, respondents (HCWs) completed the questionnaire after at least several months of frontline exposure during the pandemic.
The impact of COVID-19 may be influenced significantly by psychosocial and cultural contexts. While differential impact of COVID in higher-income and lower-income countries have been hypothesized, few studies have investigated COVID-19-related phenomena in lower-income countries. It is therefore important to gather COVID-19-related data in countries with limited resources like Bangladesh in order to understand mental health concerns and related factors. It is particularly important to understand these concerns in HCWs in under-resourced countries as changes in mental health often have long-term consequences, potentially furthering the impact of COVID-19 on HCWs after the pandemic subsides. In addition, mental health impacts on HCWs due to the COVID-19 have been poorly studied in Asian jurisdictions and lower-income countries like Bangladesh. We hypothesized that many HCWs would report anxiety and depression and, as in prior outbreaks, anxiety and depression would be associated with virus-related experiences and exposures.
Study objectives
The study objectives were to investigate mental health among Bangladeshi HCWs treating COVID-19 patients by assessing severity of depression and anxiety; to assess relationships between depression and anxiety and care-related measures; and, to evaluate the psychometric properties of the Bangla version of the Hospital Anxiety and Depression Scale (HADS).
Methods
Participants and procedure
A cross-sectional survey was conducted among HCWs (e.g., doctors, nurses, public health professionals, lab workers, and other caregivers) during the COVID-19 pandemic in Bangladesh. Here, public health professionals (e.g., epidemiologists, biostatisticians, health educators) are those who had direct interaction with COVID-19 patients, and whose role formed part of the national plan to alleviate the spread of COVID-19. Lab workers were those people who are working in the lab to identify individuals' COVID-19 status (positive/negative). Other caregivers included pharmacologists, microbiologists, virologists, and biotechnologists. All participants (HCWs) had full to limited, but at least some, direct interaction with COVID-19 patients in their workplace. Data were collected between July and August, 2020, using a self-reported online survey. After administering all survey questions in Google Forms, a shareable link was generated. This link was then shared in different online platforms involving HCWs to collect data efficiently in the setting of lockdown and spatial distancing measures. Individuals provided informed consent prior to participating in the study. Approximately 8-10 minutes were required to complete the entire questionnaire. The inclusion criteria included (i) 18 years or older; and (ii) completing the entire questionnaire. Initially, 825 respondents participated. Ultimately, 803 surveys (50.7% males; mean age: 27.3 years [SD = 6.9]; age range: 18-58 years) were included in final analysis after removing incomplete surveys.
Measures
A self-reported survey questionnaire assessed variables related to socio-demographics, lifestyle, work environment, anxiety, and depression. Variables selection was guided by previous epidemiological literature on anxiety and depression in Bangladesh [37â40].
Socio-demographic and lifestyle measures
Socio-demographic information included gender, age, marital status, occupation, and residence location (urban/rural). Self-reported health status (good, moderate, and poor) and chronic diseases (e.g., high blood pressure, heart problems, diabetes, respiratory problems; yes/no) were also assessed. Numbers of average sleep hours, physical exercising (yes/no), and current smoking (yes/no) were assessed. Sleeping status, conforming to methodology in previous works in the Bangladeshi population [38, 39, 41, 42], was classified into three categories as previously: normal [7-9 hours], less than normal [< 7h], and more than normal [> 9h].
Work-setting-related questions
The following âyes/noâ questions concerning the working environment were asked during the survey: Have you been infected with COVID-19 while at work?, Have any of your colleagues been infected with COVID-19?, Do you feel adequately trained to conduct COVID-19-related treatment/PCR tests/provision of patient care?, Have you experienced shortages of PPE/hand sanitizer/masks during the pandemic?, Have you had regrets about your choice of profession because of the pandemic and related unexpected experiences?, Are you frequently updating yourself with the latest research papers on COVID-19?, Do you currently have to work overtime?, Have you ever been discriminated against in your workplace (lab or hospital)?, Have you been counseled regarding how to maintain your mental health in the current situation?, and Have you encountered social problems (e.g., neighbor neglect) due to working in a lab or hospital?
Hospital Anxiety and Depression Scale (HADS)
The HADS is a self-reported instrument for assessing anxiety and depression symptomatology. The HADS was developed by Zigmond & Snaith (1983) which is widely used globally. This scale consists of 14 questions concerning problems over the past week (e.g., âI still enjoy the things I used to enjoyâ) including 2 subscales (i.e., 7-item anxiety and 7-item depression) with a four-point Likert scale ranging from 0 to 3 [43]. The raw scores for each subscale are summed as total scores ranging from 0 to 21 for each subscale. The present study employed the Bangla HADS described recently [44]. The most widely used standardized translation procedure, proposed by Beaton et al. (2000), was used to perform the back translation for this scale [45]. In the present study, predefined thresholds for normal (0â7), borderline abnormal (8-10), and abnormal (11-21) levels were used to categorize levels of anxiety and depression [43]. The cutoff (> 8) utilized to screen for symptoms for anxiety and depression for each subscale was the same as used previously in the Bangladesh population [44, 46]. In the present study, Cronbachâs alpha of the anxiety and depression subscales were 0.80 and 0.70, respectively, and overall Cronbachâs alpha of the HADS scale was 0.83, indicating good reliability.
Statistical analysis
Data were analyzed using four statistical software packages including Microsoft Excel 2019, SPSS version 25, SPSS Amos version 23, and STATA version 13. First, data were cleaned, sorted, and coded using Microsoft Excel, and after the completion of data coding, the file was imported to SPSS. Descriptive statistics (i.e., frequencies, percentages, means, standard deviations) were performed using SPSS. Regression analyses with the HADS score as a dependent variable, and all examined variables modeled simultaneously (i.e., adjusted for each other) were executed in STATA. The normally distributed HADS total score was used as the outcome in a multiple linear regression model. The reason for this approach was that the two subscales of depression and anxiety were strongly associated with each other (Pearson r = 0.64, p < 0.001). Associations were considered statistically significant if the two-sided p-value was less than or equal to 0.05. A confirmatory factor analysis (CFA) was performed using SPSS Amos version 23 to evaluate the psychometric properties of the Bangla version of the HADS.
Ethics
All procedures of the present study were performed in accordance with human involving regulations (i.e., Declaration of Helsinki) and with guidelines of institutional research ethics. The formal ethics approval was granted by the ethical review board of the Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh [BBEC, JU/M 2020 COVID-19/9(5)]. All participants provided their consent to participate in the study after being informed about the purpose of the study. Anonymity and confidentiality of participantsâ information were strictly maintained.
Results
Participant characteristics
| Variables | n | (%) |
|---|---|---|
| Gender | ||
| Male | 407 | (50.7) |
| Female | 396 | (49.3) |
| Age (27.33 ± 6.88) | ||
| Young (18-25 years) | 422 | (52.6) |
| Adult (>25 years) | 381 | (47.4) |
| Marital status | ||
| Unmarried | 561 | (69.9) |
| Married | 242 | (30.1) |
| Occupation | ||
| Doctors | 549 | (68.4) |
| Nurses | 77 | (9.6) |
| Public health professionals | 59 | (7.3) |
| Lab workers | 73 | (9.1) |
| Others caregiversa | 45 | (5.6) |
| Residence | ||
| Rural | 147 | (18.3) |
| Urban | 656 | (81.7) |
| Self-reported health status | ||
| Good | 501 | (62.4) |
| Moderate | 291 | (36.2) |
| Poor | 11 | (1.4) |
| Chronic diseases | ||
| Yes | 79 | (9.8) |
| No | 724 | (90.2) |
| Sleep status | ||
| Less than normal | 356 | (44.3) |
| Normal (7-9 hours) | 421 | (52.4) |
| More than normal | 26 | (3.2) |
| Physical exercising | ||
| Yes | 300 | (37.4) |
| No | 503 | (62.6) |
| Tobacco smoking | ||
| Yes | 110 | (13.7) |
| No | 693 | (86.3) |
| Have you been infected with COVID-19 while at work? | ||
| Yes | 47 | (5.9) |
| No | 756 | (94.1) |
| Have any of your colleagues been infected with COVID-19? | ||
| Yes | 362 | (45.1) |
| No | 441 | (54.9) |
| Do you feel adequately trained to conduct COVID-19-related treatment/PCR tests/provision of patient care? | ||
| Yes | 286 | (35.6) |
| No | 517 | (64.4) |
| Have you experienced shortages of PPE /hand sanitizer/masks during the pandemic? | ||
| Yes | 454 | (56.5) |
| No | 349 | (43.5) |
| Have you had regrets about your choice of profession because of the pandemic and related unexpected experiences? | ||
| Yes | 365 | (45.5) |
| No | 438 | (54.5) |
| Are you frequently updating yourself with the latest research papers on COVID-19? | ||
| Yes | 639 | (79.6) |
| No | 164 | (20.4) |
| Do you currently have to work overtime? | ||
| Yes | 415 | (51.7) |
| No | 388 | (48.3) |
| Have you ever been discriminated against in your workplace (lab or hospital)? | ||
| Yes | 312 | (38.9) |
| No | 491 | (61.1) |
| Have you been counseled regarding how to maintain your mental health in the current situation? | ||
| Yes | 150 | (18.7) |
| No | 653 | (81.3) |
| Have you encountered social problems (e.g., neighbor neglect) due to working in a lab or hospital? | ||
| Yes | 195 | (24.5) |
| No | 601 | (75.5) |
| Anxiety | ||
| Normal | 245 | (30.5) |
| Borderline abnormal | 227 | (28.3) |
| Abnormal | 331 | (41.2) |
| Depression | ||
| Normal | 486 | (60.5) |
| Borderline abnormal | 191 | (23.8) |
| Abnormal | 126 | (15.7) |
Psychometric properties of the Bangla HADS
Structural equation modeling (SEM) of the Bangla Hospital Anxiety and Depression Scale (HADS). Note: Items of anxiety subscale (A1, A2, A3, A4, A5, A6, A7); Items of Depression subscale (D1, D2, D3, D4, D5, D6, D7); All e values represent (unobserved variables). The specific questions to which these items refer are as follows. A1: I feel tense or 'wound up'; A2: I get a sort of frightened feeling as if something awful is about to happen; A3: Worrying thoughts go through my mind; A4: I can sit at ease and feel relaxed; A5: I get a sort of frightened feeling like 'butterflies' in the stomach; A6: I feel restless as I have to be on the move; A7: I get sudden feelings of panic; D1: I still enjoy the things I used to enjoy; D2: I can laugh and see the funny side of things; D3: I feel cheerful; D4: I feel as if I am slowed down; D5: I have lost interest in my appearance; D6: I look forward with enjoyment to things; D7: I can enjoy a good book or radio or TV program
| Variables | Mean | SD | Skewness | Kurtosis | Item-total correlation | Cronbach's α if Item Omitted |
|---|---|---|---|---|---|---|
| A1 | 1.47 | 0.92 | 0.81 | -0.73 | 0.51 | 0.82 |
| A2 | 1.66 | 0.89 | -0.19 | -0.7 | 0.59 | 0.81 |
| A3 | 1.45 | 0.87 | 0.29 | -0.62 | 0.52 | 0.82 |
| A4 | 1.14 | 0.74 | 0.29 | -0.13 | 0.49 | 0.82 |
| A5 | 0.88 | 0.72 | 0.31 | -0.64 | 0.44 | 0.82 |
| A6 | 1.67 | 0.87 | -0.19 | -0.62 | 0.52 | 0.82 |
| A7 | 1.52 | 0.86 | -0.08 | -0.64 | 0.6 | 0.81 |
| D1 | 0.89 | 0.97 | 0.79 | -0.47 | 0.46 | 0.82 |
| D2 | 0.36 | 0.7 | 1.8 | 2.12 | 0.32 | 0.83 |
| D3 | 1 | 0.68 | 0.51 | 0.69 | 0.59 | 0.82 |
| D4 | 1.33 | 0.87 | 0.2 | -0.62 | 0.49 | 0.82 |
| D5 | 1.77 | 1.09 | -0.43 | -1.1 | 0.2 | 0.84 |
| D6 | 0.67 | 0.83 | 1.02 | 0.14 | 0.43 | 0.82 |
| D7 | 0.83 | 0.89 | 0.83 | -0.13 | 0.46 | 0.82 |
| Name of index | Index abbreviation | Anxiety subscale | Depression subscale | HADS scale | Level of acceptance |
|---|---|---|---|---|---|
| Absolute Fit | |||||
| Discrepancy chi square | Ï(df)2 | 52.19* (14) | 106.69* (14) | 397.18* (76) | > 0.05p |
| Root Mean Square Error of Approximation (90% Confidence interval) | RMSEA (90%Â CI) | 0.06 (0.04-0.08) | 0.09 (0.08-0.11) | 0.07 (0.07-0.08) | < 0.08 |
| Standardized Root Mean Square Residual | SRMR | 0.03 | 0.06 | 0.06 | < 0.08 |
| Goodness of Fit Index | GFI | 0.98 | 0.96 | 0.93 | > 0.9 |
| Incremental Fit | |||||
| Adjusted Goodness of Fit | AGFI | 0.96 | 0.92 | 0.9 | > 0.9 |
| Comparative Fit Index | CFI | 0.97 | 0.9 | 0.9 | > 0.9 |
| Tucker-Lewis Index | TLI | 0.96 | 0.83 | 0.9 | > 0.9 |
| Normed Fit Index | NFI | 0.96 | 0.9 | 0.9 | > 0.9 |
Symptoms at different severity levels
The HADSâ anxiety subscale revealed that anxiety symptoms were experienced by HCWs at different predetermined thresholds including normal (30.5%), borderline abnormal (28.3%), and abnormal (41.2%) levels. Regarding the depression subscale, symptoms were experienced by HCWs at normal (60.5%), borderline abnormal (23.8%), and abnormal (15.7%) levels. The anxiety and depression scores were strongly associated with each other (Pearson r = 0.64).
Regression analyses
| Variables | Total HADS score | |||
|---|---|---|---|---|
| Mean | (SD) | ÎČ | SE | |
| Gender | ||||
| Male | 16.1 | (6.8) | a | |
| Female | 17.2 | (6.6) | 0.13*** | 0.43 |
| Age | ||||
| Young (18-25 years) | 17 | (6.6) | a | |
| Adult (>25 years) | 16.2 | (6.8) | -0.02 | 0.52 |
| Marital status | ||||
| Unmarried | 16.7 | (6.5) | a | |
| Married | 16.4 | (7.2) | -0.06 | 0.56 |
| Residence | ||||
| Rural | 16 | (7.2) | a | |
| Urban | 16.8 | (6.6) | 0.03 | 0.53 |
| Self-reported health status | ||||
| Good | 14.7 | (6.0) | a | |
| Moderate | 19.4 | (6.4) | 0.23*** | 0.46 |
| Poor | 29 | (6.7) | 0.18*** | 1.79 |
| Chronic diseases | ||||
| No | 16.3 | (6.6) | a | |
| Yes | 19.3 | (7.1) | 0.04 | 0.74 |
| Sleep status | ||||
| Less than normal | 16.6 | (6.4) | a | |
| Normal (7-9 hours) | 16.5 | (6.8) | -0.05 | 0.45 |
| More than normal | 18.2 | (9.8) | -0.02 | 1.18 |
| Physical exercising | ||||
| Yes | 14.6 | (6.3) | a | |
| No | 17.8 | (6.7) | 0.08** | 0.44 |
| Tobacco smoking | ||||
| No | 16.4 | (6.6) | a | |
| Yes | 18 | (7.4) | 0.07* | 0.64 |
| Have you been infected with COVID-19 while at work? | ||||
| No | 16.5 | (6.7) | a | |
| Yes | 18 | (7.1) | -0.02 | 0.88 |
| Have any of your colleagues been infected with COVID-19? | ||||
| No | 15.8 | (6.4) | a | |
| Yes | 17.7 | (7.0) | 0.03 | 0.45 |
| Do you feel adequately trained to conduct COVID-19-related treatment/PCR tests/provision of patient care? | ||||
| Yes | 16 | (6.2) | a | |
| No | 17 | (7.0) | -0.01 | 0.48 |
| Have you experienced shortages of PPE /hand sanitizer/masks during the pandemic? | ||||
| No | 15.8 | (6.2) | a | |
| Yes | 17.2 | (7.0) | -0.04 | 0.45 |
| Have you had regrets about your choice of profession because of the pandemic and related unexpected experiences? | ||||
| No | 14.6 | (6.0) | a | |
| Yes | 19 | (6.7) | 0.16*** | 0.46 |
| Are you frequently updating yourself with the latest research papers on COVID-19? | ||||
| Yes | 16 | (6.4) | a | |
| No | 19.2 | (7.3) | 0.08** | 0.52 |
| Do you currently have to work overtime? | ||||
| No | 16.5 | (6.9) | a | |
| Yes | 16.7 | (6.6) | -0.03 | 0.46 |
| Have you ever been discriminated against in your workplace (lab or hospital)? | ||||
| No | 14.8 | (6.1) | a | |
| Yes | 19.5 | (6.6) | 0.21*** | 0.47 |
| Have you been counseled regarding how to maintain your mental health in the current situation? | ||||
| Yes | 14.7 | (5.1) | a | |
| No | 17.1 | (7.0) | -0.01 | 0.62 |
| Have you encountered social problems (e.g., neighbor neglect) due to working in a lab or hospital? | ||||
| No | 15.6 | (6.4) | a | |
| Yes | 19.7 | (6.8) | 0.13*** | 0.51 |
Discussion
The COVID-19 pandemic appears to have impacted the lives of many individuals, and may influence mental wellbeing [37], especially among HCWs who are on the frontline caring for people with COVID-19. To our best knowledge, the present study is the first to assess anxiety and depression among HCWs in Bangladesh during the COVID-19 pandemic. Our hypotheses were partially supported in that anxiety and depression were prevalent among HCWs, and some but not all COVID-19-related experiences were linked to anxiety and depression. The study also investigated the psychometric properties of the Bangla HADS. The Bangla HADS was psychometrically sound, and demonstrated good internal consistency and reliability (α = 0.83), and excellent construct validity. The study included doctors, nurses, public health professionals, lab workers, and other caregivers (e.g., pharmacologists, microbiologists, virologists, biotechnologists) who were directly or indirectly involved in the care of patients with COVID-19.
Comparisons with other studies
The current findings indicate that anxiety and depression are common among HCWs in Bangladesh during the COVID-19 pandemic, with 69.5% screening positive for anxiety, and 39.5% for depression. A cross-sectional study across 34 hospitals in China similarly found that frontline HCWs experienced mental health concerns including depression and anxiety when directly engaged with treating and managing patients with COVID-19 [10]. A prior study in China documented prevalence estimates of anxiety (46.0% versus 39.5% in the present study) with the Generalized Anxiety Disorder Scale (GAD-7) and depression (44.4% versus 69.5% in the present study) with the Patient Health Questionnaire (PHQ-9) among HCWs during the COVID-19 pandemic [7], which suggests that the prevalence estimate of anxiety was somewhat higher and that of depression lower compared to the present study. Another study of anxiety and depression among first-line medical staff in China showed prevalence estimates of anxiety (using Self-Rating Anxiety Scale) and depression (using Self-Rating Depression Scale) of 45.6%, and 11.4%, respectively [52]. A study in India of HCWs suggested the prevalence estimates of anxiety symptoms (17.7%) requiring additional evaluation and depressive symptoms (11.4%) needing treatment [53] are lower than those in the present study. Moreover, an examination of anxiety that included 12 studies (1 from Fuyang, 2 Wuhan, 1 Fujian, 1 Singapore, 7 from China), and for depression that included 10 studies (2 Wuhan, 1 Fujian, 1 Singapore, 6 from China) reported that the pooled prevalence estimates of anxiety and depression among HCWs during COVID-19 were 23.2% and 22.8%, respectively, and these values are numerically lower than those in the present study [54]. However, one should consider comparisons across studies cautiously given other factors that may influence estimates, and studies that directly compare estimates concurrently across jurisdictions, and using similar methodologies are warranted. The extent to which different findings may relate to cultural differences, differences in healthcare systems, and their responses during the COVID-19 pandemic, differences in instruments used to assess anxiety and depression or other factors warrants additional investigation.
Females were more likely to experience anxiety and depression, similar to prior studies conducted in Bangladesh during the COVID-19 pandemic [39, 55]. However, the findings contrast with those from a study among university students that showed no gender-related differences [56]. A prior study conducted among Chinese medical staff during the COVID-19 pandemic reported that anxiety was more frequently observed in females relative to males [57].
HCWs with moderate and poor health status were more depressed and anxious than those who self-reported good health. These findings resonate with those among Bangladeshi university students in which individuals with moderate and poorer self-related health were more depressed and anxious [58]. Another study conducted in Bangladesh among individuals who had recovered from COVID-19 found a positive association between poor health status and depression [59]. The findings are also similar to those from a study in Syria among community adults that observed an association between depression and chronic diseases including heart disease, hypertension, and kidney disease [60], and findings from a literature review [61].
In the present study, participants who did not engage in physical exercising compared to those who did were more likely to endorse anxiety and depression, similar to prior studies conducted in Bangladesh [39, 56, 59, 62]. HCWs who smoked cigarettes were more likely to be anxious and depressed than non-smokers, also consistent with previous studies [63â66]. A pre-COVID-19 study among medical staff in Greece similarly showed significant associations with anxiety and depression [67]. These findings may have clinical relevance as exercise and smoking represent modifiable risk factors. Therefore, if the associations between low exercise and/or smoking, and poor mental health are causal [68â70], risk reduction strategies focusing on regular exercise and smoking discontinuation may be helpful in reducing potentially deleterious impacts of COVID-19 on the mental health of HCWs. In such efforts, combination approaches may be particularly relevant [71]; however, other stress-reduction approaches (e.g., meditation, massage) may be helpful, although more research is needed in this area [72]. Further, some benefits of engaging in physical activity may be transmitted to patients, although this too warrants further study [73].
Anxiety and depression were associated with negative feelings about choice of profession due to the ongoing crisis of the pandemic and unexpected pandemic-related experiences. Considering the limited availability of PPE, disinfection materials, and medical (N95) masks, and increasing numbers of positive COVID-19 cases [74], HCWs may question their choice of profession. Other factors (e.g., possible trauma-related to patient care during the pandemic) may also impact HCWs, and lead to mental health concerns.
Anxiety and depression were significantly higher among respondents who did not feel up to date on the latest COVID-19-related research/information. Lack of information may precipitate mental health concerns, and prior studies have suggested updates and knowledge about COVID-19 may have psychosocial impacts, possibly as they represent an active way of coping and dealing with pandemic-related issues [75].
HCWs who encountered discrimination in their workplace were more likely to be anxious, similar to findings among Chinese physicians in which workplace violence was associated with poor mental health [76]. Other studies have found that discrimination in the workplace was related negatively to mental wellbeing [77â79]. Given the current scarcity of HCWs in Bangladesh, shortages of PPE and fear of being infected by the virus [74], and transmitting it to family members could promote anxiety and depression. As a lower-middle income country, Bangladesh is particularly vulnerable to the transmission of a communicable disease due to overcrowded environments, and having poor infection prevention and control mechanisms [74]. As such, HCWs may fear that they may infect their families, particularly in Bangladesh because of multifamily households, which often do not permit separate personal spaces. These issues may pose particular challenges for Bangladeshi HCWs during the pandemic. A previous study reported frequent reports of lack of water (50%), and handwashing soaps used to clean hands and kill germs/coronavirus (39%) in health care facilities in low-middle income countries [80]. HCWs should be provided with adequate PPE to protect themselves and their patients within a health-promoting atmosphere.
Respondents facing social problems due to their profession were more likely to experience anxiety and depression. Similarly, social difficulties and stressful incidents have been linked to anxiety and depression [81].
The present study revealed that anxiety and depression were strongly associated with each other (r = 0.64). Anxiety and depression frequently co-occur [82], including in Bangladeshi groups [39, 56, 66, 83].
Implications
The present findings indicate that many Bangladeshi HCWs have been experiencing anxiety and/or depression during the COVID-19 pandemic. Multiple factors may contribute to anxiety and depression, including those inside and outside of workplace settings. After severe crises have ended, anxiety and depression may persist, and PTSD may emerge [12, 18]. The present findings suggest that understanding factors influencing the mental health of HCWs, and those that may generate vulnerability or promote resilience are important to understand currently and moving forward. It seems important to implement monitoring initiatives, and possible interventions to help potentially vulnerable groups like HCWs.
Limitations
This study has several limitations. First, it was a cross-sectional online survey involving a convenience sample. Hence, causal inferences cannot be defined. Further studies are required to examine longitudinal trajectories of anxiety and depressive symptoms in HCWs during and following the COVID-19 pandemic. Second, there was a small number of doctors, nurses, lab workers, and public health professionals who participated, which may not be representative of the general population. Finally, findings of self-reported mental health symptomatology may differ from those obtained from clinical interviews.
Conclusions
The present study describes prevalence estimates and correlates of anxiety and depression in HCWs during the COVID-19 pandemic in Bangladesh. HCWsâ mental wellbeing is an important consideration during the COVID-19 outbreak. Interventions to promote the mental wellbeing of HCWs during and following the COVID-19 pandemic should be introduced, implemented, and tested, with a particular focus on vulnerable groups.