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Research Article

Mental health and well-being of healthcare workers in Central Asia

[version 1; peer review: 1 not approved]
PUBLISHED 02 Aug 2024
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This article is included in the Public Health and Environmental Health collection.

Abstract

Introduction

Due to the specific work content, healthcare workers (HCWs) showed a high risk of mental health and well-being issues. And the COVID-19 pandemic has increased this effect. At the same time, the psychological well-being of HCWs from Central Asian countries remains poorly understood. In this study, we aimed to investigate the mental health and well-being of HCWs from Central Asian countries, as well as associated factors, including the role of the impact of the COVID-19 Pandemic.

Methods

A cross-sectional questioner-based study was carried out among HCWs from Central Asian countries during the July-November, 2022. The study included socio-demographic questions, DASS-21 scale, WHO-5 Well-being Index, and questions to assess the impact of COVID-19 on personal life and work of HCWs.

Results

The study involved 2,685 HCWs from the Kazakhstan (1,817), Kyrgyzstan (534), and Uzbekistan (334). The overall prevalence of depression, anxiety and stress was 17.7%, 24.9% and 5.2%, respectively. Socio-demographic factors such as gender, age, marital and family status, occupation, managerial position; as well as pandemic-related frontline work history and changes in work and social life were associated with mental health and well-being.

Conclusion

The study underscores the pressing need to address the mental health challenges faced by HCWs in Central Asia, exacerbated by the COVID-19 pandemic. Findings reveal concerning levels of depression, anxiety, and stress among HCWs, with socio-demographic factors and pandemic-related experiences influencing mental well-being. Urgent interventions, tailored support, and resources are essential to safeguard the psychological health of HCWs and sustain effective healthcare delivery.

Keywords

healthcare workers, mental health, depression, anxiety, stress, well-being, COVID-19 Pandemic, Central Asia

Introduction

Healthcare workers (HCWs) throughout the developed world have markedly high rates of burnout and distress compared to other sectors.1 In recent years, the mental health needs of HCWs have been receiving increasing attention as a serious public health problem and a threat to quality medical care. HCWs are exposed to numerous stressful factors in the course of their work, which can negatively affect their physical, mental and emotional well-being.2 This may have an impact on public health in general and threaten the quality of medical care to the population. The healthcare workplace, in particular, experiences high rates of mental illness such as burnout, stress, post-traumatic stress disorder, anxiety, and depression due to workplace conditions such as excessive workloads, working in emotionally-charged situations, stigma against seeking care, workplace violence, competition for positions, promotions, the complexity of the doctor–patient relationship, and the contradictions and disequilibrium between healthcare needs and medical development.3,4

HCWs experience significant psychological distress during an epidemic or pandemic.5 HCWs had elevated rates of mental health disorders, burnout, and suicide prior to the COVID-19 pandemic, and have been experiencing a persistent burden of psychological distress during the COVID-19 pandemic.6 Thus, the meta-analysis included 401 studies across 58 countries during the COVID-19 pandemic showed significantly higher odds of probable mental health disorders in women, those working in high-risk units and those providing direct care.7 Another meta-analysis showed an increase in anxiety scores among HCWs who cared for COVID-19 patients, as well as a rise in depressive symptoms due to inadequate or no personal protective equipment.8

Central Asian countries and their specific mental health needs have largely been under-emphasized, evidenced by a dearth in literature.9 At the same time, the mental health of HCWs in Central Asian countries remains poorly understood, which may affect the health care system of these countries. Thus, we aimed to study mental health (depression, anxiety and stress), well-being and related factors among HCWs in the following Central Asian countries: Kazakhstan, Kyrgyzstan and Uzbekistan.

Methods

Study design and procedure

A cross-sectional evaluation of Central Asian HCWs was undertaken between July and November, 2022. HCWs were invited to participate in an online survey created on 1ka.si platform. The survey was distributed via social media platforms to HCWs in Kazakhstan, Kyrgyzstan, and Uzbekistan. Participation was entirely voluntary, confidentiality and anonymity were guaranteed. All participants had the opportunity to get acquainted with the study aim and objectives. Participants were informed that by proceeding with the survey, they were confirming their informed consent to participate. Only responses from participants who confirmed their informed consent were included in the analysis, adhering to ethical guidelines for research involving human participants. Participants gave their written informed consent by proceeding with the online survey, which was explicitly stated at the beginning of the questionnaire. This approach ensured that consent was documented electronically. The ethics committees approved this method of obtaining consent, considering the online nature of the study and the need to reach a large number of healthcare workers efficiently. By blocking repeated IP addresses, the study was protected from duplicate responses.

Study participants

During the study, we received answers from 6,903 HCWs from three countries; among them, 2,685 completed the survey (response rate = 38.9%). The study involved physicians and nurses, regardless of the level of medical care and the type of financing of the healthcare organization employed.

Measures

The original questionnaire utilized in this study is provided in the Extended Data section. The questionnaire included:

  • - Items on sociodemographic and occupational characteristics: sex, age, job (physicians or nurses), family status, frontline work history during the COVID-19 pandemic.

  • - Depression, anxiety, and stress prevalence, level and severity were assessed using the short-form version of the DASS questionnaire (DASS-21) created by Lovibond & Lovibond.10 DASS-21 scale consists of 3 subscales for each dimension (depression, anxiety, and stress). Each of the three scales contains 7 items scored on a Likert scale from 0-3 (0: Did not apply to me at all, 1: Applied to me to some degree or some of the time, 2: Applied to me to a considerable degree or a good part of the time, 3: Applied to me very much or most of the time). Scores for depression, anxiety and stress are calculated by summing the scores for the relevant items. Recommended cut-off scores for conventional severity were based on Manual for the Depression Anxiety & Stress Scales by Lovibond & Lovibond.11 DASS-21 showed reliable to the strong levels of internal consistency: depression (Cronbach’s α 0.893), anxiety (Cronbach’s α 0.895), and stress (Cronbach’s α 0.911).12

  • - HCWs’ quality of life was assessed using the WHO-5 Well-being Index.13 WHO-5 Well-being Index consisted of 5 items with 0 (at no time) to 5 (all of the time) 6-point Likert-type scale. The total score was calculated summarizing the figures of the five answers. The total score ranges from 0 to 25, the higher the score represented better possible quality of life. WHO-5 Well-being Index has demonstrated strong internal consistency (Cronbach’s ɑ = 0.911).

  • - The impact of COVID-19 on personal life and work of HCWs was assessed using the scale created by Pham et al.14 The scale consisted of 14 items with 5-point Likert-type agreement scale. The impact of COVID-19 on personal life scale has demonstrated reliable internal consistency (Cronbach’s ɑ = 0.865).

Statistical analysis

Statistical analysis was performed using Jamovi version 2.2.5. Statistics included descriptive methods [frequency, means (M), and standard deviations (SD)], comparative analysis using the t-test or ANOVA with post-hoc test (when more than two groups were compared), frequency analysis, and determination of independent associations between variables using chi-square and binominal logistic regression analysis. The level of statistical significance adopted was 5% (p<0.05).

Ethics approval and consent to participate

The study was approved by the Local Ethics Committee of “University Medical Center” Corporate Fund (extract from protocol No. 11 of December 30, 2021) and by the Local Ethics Committee of I.K. Akhunbaev Kyrgyz State Medical Academy (extract from protocol No. 13 of December 08, 2021). All methods were performed in accordance with the relevant guidelines and regulations. All participants provided informed consent online before the survey. This study adhered to the principles outlined in the Declaration of Helsinki. All methods were performed in accordance with relevant guidelines and regulations to ensure the ethical treatment of all participants involved in the research.

Compliance with reporting guidelines

This study complies with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines to ensure transparent and complete reporting of observational research.

Results

The study involved 2,685 HCWs from the following Central Asian countries: Kazakhstan (1,817, 67.7%), Kyrgyzstan (534, 19.9%), and Uzbekistan (334, 12.4%). The socio-demographic characteristics of the study participants are presented in Table 1. More than four fifths (82.3%) of the respondents were women, while men were only 5.6% of the respondents in Kyrgyzstan, and 43.1% in Uzbekistan. The average age of the study participants was 39.2±13.0, while the average age was the highest among respondents from Kyrgyzstan (44.2±12.7), and the youngest from Uzbekistan (29.6±10.3). About two thirds of the respondents were nurses, and ~10% held a senior position at various levels (including chief/senior nurse, chief physicians, and other managers). More than half (57.8%) of the respondents were married, a quarter were single, 11.7% were divorced, and 5.1% were widows at the time of the study. Over 70% of the respondents had children. According to Table 1, all socio-demographic indicators of the study participants were heterogeneous, however, in this study we tried to summarize the results, since the health systems of the three countries are similar.

Table 1. Socio-demographic data (N=2,685).

CharacteristicsKazakhstan n=1817Kyrgyzstan n=534Uzbekistan n=334χ2/F, p
Gender
Male (n=474, 17.7%)300 (16.5%)30 (5.6%)144 (43.1%)χ2=204, p<0.001
Female (n=2,211, 82.3%)1517 (83.5%)504 (94.4%)190 (56.9%)
Age (M±SD)39.6±12.644.2±12.729.6±10.3F=185, p<0.001
Jobχ2=211, p<0.001
Nurse (n=1,739, 64.8%)1295 (71.3%)344 (64.4%)100 (29.9%)
Physician (n=946, 35.2%)522 (28.7%)190 (35.6%)234 (70.1)
Manager positionχ2=182, p<0.001
No (n=2,418, 90.1%)1717 (94.5%)464 (86.9%)237 (71.0%)
Yes (n=267, 9.9%)100 (5.5%)70 (13.1%)97 (29.0%)
Marital statusχ2=95.6, p<0.001
Single (n=682, 25.4%)452 (24.9%)83 (15.54%)147 (44.0%)
Married (n=1,553, 57.8%)1051 (57.8%)350 (65.54%)152 (45.5%)
Divorced (n=314, 11.7%)229 (12.6%)62 (11.61%)23 (6.9%)
Widowhood (n=136, 5.1%)85 (4.7%)39 (7.30%)12 (3.6%)
Childrenχ2=201, p<0.001
No (n=793, 29.5%)504 (27.7%)87 (16.2%)202 (60.5%)
Yes (n=1,892, 70.4%)1313 (72.3%)447 (83.8%)132 (39.5%)
COVID-19 Frontlineχ2=121, p<0.001
No (n=1,610, 60.0%)1180 (64.9%)209 (39.1%)221 (66.2%)
Yes (n=1,075, 40.0%)637 (35.1%)325 (60.9%)113 (33.8%)

Mental health and well-being

The prevalence and level of depression, anxiety, stress and well-being of HCWs in Central Asian countries were studied. The overall prevalence of depression was 17.7%, while in Kazakhstan (13.8%, M=4.17) and Kyrgyzstan (14.2%, M=4.66) the prevalence and average level of depression were significantly lower compared to Uzbekistan (44.3%, M=8.72), p<0.001 (Table 2). Among men, depression was significantly more common than in women (24.3% vs. 16.2%, respectively, p<0.001), while the level of depression was negatively correlated with the age of the study participants (rho=-0.104, p<0.001). Doctors compared with nurses had a high prevalence of depression (25.4% vs 13.5%, respectively, p<0.001), while this pattern did not depend on gender, and was found in Kazakhstan and Kyrgyzstan. The prevalence of depression was significantly higher among senior staff (31.5%) compared to ordinary employee (16.1%), p<0.001, and was independent of gender, but was noted only among nurses. The prevalence of depression was related to marital status and having children. Thus, depression was significantly more common among single (23.5%) and widowed (22.1%) compared with married (15.2%) and divorced (15.3%), p<0.001. Having children reduced the chances of depression (27.2% vs 13.6%, OR=0.422, 95%CI 0.344-0.517, p<0.001) among respondents, and did not depend on marital status or gender.

Table 2. Prevalence and level of depression, anxiety and stress (N=2,685).

VariablesKZKGUZTotalχ2/F, p
Depressionχ2=187, p<0.001
-Prevalence13.8%14.2%44.3%17.7%F=167, p<0.001
-Mean value4.17±4.654.66±4.588.72±4.114.83±4.81KZ/KG vs UZ, p<0.001
Anxietyχ2=244, p<0.001
-Prevalence19.2%22.7%59.3%24.9%F=203, p<0.001
-Mean value3.84±4.624.48±4.518.86±4.114.59±4.82KZ vs KG vs UZ, p<0.05
Stressχ2=8.23, p=0.016
-Prevalence5.1%7.1%2.7%5.2%F=125, p<0.001
-Mean value5.12±5.035.72±5.069.01±3.955.73±5.07KZ vs KG vs UZ, p<0.05
Well-being (WHO)F=25.4, p<0.001
-Mean value14.0±6.5414.1±6.1611.9±4.9913.8±6.33KZ/KG vs UZ, p<0.001

The overall prevalence of anxiety was 24.9%, while the prevalence and average level of anxiety significantly differed between the countries: Kazakhstan (19.2%, M=3.84), Kyrgyzstan (22.7%, M=4.48), and Uzbekistan (59.3%, M=8.72), p<0.001 (Table 2). Among male (30%) HCWs, anxiety was significantly more common compared with women (23.8%), p<0.05, while the level of anxiety was negatively correlated with the age of the study participants (rho=-0.091, p<0.001). Doctors compared with nurses had a high prevalence of anxiety (33.3% vs 20.3%, respectively, p<0.001), while this pattern did not depend on gender, and was found in Kazakhstan and Kyrgyzstan. The prevalence of anxiety was more than twice as high among senior staff (49.1%) compared to ordinary employee (22.2%), p<0.001, and did not depend on gender, profession, or country. The prevalence of anxiety, as well as depression, was associated with marital status and having children. Thus, anxiety was significantly more common among single (30.5%) and widowed (33.1%) respondents compared with married (22.2%) and divorced (22.6%) respondents, p<0.001. Moreover, having children reduced the chances of anxiety (34.3% vs. 20.9%, OR=0.507, 95% CI 0.422-0.609, p<0.001) among respondents, and did not depend on gender or marital status, with the exception of single study participants.

The overall prevalence of stress was 5.2%. Although the prevalence of stress was least noted in Uzbekistan (2.7%, M=9.01), the average stress level on the DASS-21 scale was significantly lower in Kazakhstan (5.1%, M=5.12) and Uzbekistan (7.1%, M=5.72), p<0.001 (Table 2). The prevalence of stress did not differ among men (4.6%) and women (5.3%), however, men (6.31±5.10) had significantly higher stress levels compared with women (5.60±5.05), p<0.05. As in the case of depression and anxiety, stress levels were negatively correlated with the age of the study participants (rho=-0.104, p<0.001). Doctors compared with nurses had a greater prevalence of stress (8.1% vs. 3.6%, respectively, p<0.001). Having a manager position and marital status were not associated with the prevalence of stress. However, stress levels were significantly higher among managers compared to general staff (7.42±4.84 vs 5.54±5.06, respectively, p<0.001). Post-hoc test revealed significantly higher stress levels among single people compared to married respondents (6.36±5.32 vs 5.43±4.93, respectfully, p<0.001). Having children reduced the risk of stress (OR=0.556, 95%CI 0.394-0.787, p<0.001) and did not depend on the gender of the respondents.

The DASS-21 scale also allows determining the severity of depression, anxiety and stressing (DAS). Figure 1 presents the results of the distribution of the severity of depression, anxiety and stress depending on the country. The severity of DAS symptoms is also presented in Table S1 (Extended data).

245e7188-0ce5-4ab8-b17b-aaadba2cf4a2_figure1.gif

Figure 1. Distribution of the severity of depression, anxiety, and stress across different countries.

The figure illustrates the comparative analysis of mental health conditions, specifically depression, anxiety, and stress, among healthcare workers in Kazakhstan (KZ), Kyrgyzstan (KG), and Uzbekistan (UZ). The severity levels are categorized and presented to highlight the differences and similarities among these three Central Asian countries.

The level of well-being of HCWs was significantly higher in Kazakhstan (14.0±6.54) and Kyrgyzstan (14.1±6.16) compared with Uzbekistan (11.9±4.99), p<0.001. As indicated in Table 3, the gender was not related to the level of well-being. At the same time, the level of well-being was significantly higher among nurses (14.3±6.54) compared with doctors (12.7±5.77), and among regular staff (13.9±6.34) compared with managers (12.1±6.02), p<0.001, however, this trend was found only among respondents from Kazakhstan, but not from Kyrgyzstan or Uzbekistan. Single people (12.9±6.39) had significantly lower well-being indicators compared to married (14.0±6.31) or divorced (14.4±6.15) respondents, p<0.05. In turn, the study participants who had children (14.2±6.31) showed a higher level of well-being compared with those who did not have them (12.7±6.26), p<0.001. As presented in Tables S2 and S3 (extended data), the levels of depression, anxiety and stress were positively correlated with each other, and negatively with the level of well-being (p<0.001).

Table 3. The level of well-being, general and by country (N=2,685).

VariableWHO-5-WB
KZ (M ± SD)KG (M ± SD)UZ (M ± SD)Total (M ± SD)
SexMale14.2±6.6916.0±5.7711.1±5.3713.4±6.44
Female14.0±6.5113.9±6.1712.4±4.6213.8±6.30
JobNurse14.5±6.6214.6±6.4411.7±5.2114.3±6.54
Doctor12.9±6.19**13.1±5.5011.9±4.9012.7±5.77**
Management positionYes11.9±6.6813.5±6.4411.3±4.7412.1±6.02
No14.1±6.51*14.1±6.1212.1±5.0713.9±6.34**
COVID-19 frontlineYes13.6±6.6813.8±6.3310.5±4.8113.3±6.47
No14.3±6.4514.5±5.8712.6±4.94*14.1±6.22*
ChildrenYes14.3±6.5014.4±6.1012.5±4.6114.2±6.31
No13.3±6.59*12.1±6.13*11.4±5.1912.7±6.26**
Family statusSingle13.3±6.6012.5±6.1512.0±5.7612.9±6.39
Married14.1±6.5314.4±6.1511.8±4.5114.0±6.31
Divorced14.9±6.3013.6±5.9911.3±3.6714.4±6.15
Widowhood14.2±6.6414.6±6.2012.4±2.3114.2±6.25**

* p<0.05.

** p<0.001.

† Single vs Married/Divorced.

Mental health, well-being and experience during the COVID-19 pandemic

Although current study was conducted at the end of 2022, at the time of the end of the COVID-19 Pandemic, 40% of respondents indicated that they were at the frontline during a period of increasing incidence of COVID-19. The prevalence of depression and stress did not significantly differ depending on the experience of working on the frontline during the pandemic, whereas anxiety was more common among respondents who were on the frontline (28.2%), compared with those who were not (22.7%), p=0.001. At the same time, the level of well-being was significantly lower among respondents who were on the frontline (13.3±6.47), compared with those who were not (14.1±6.22), p<0.05.

“The impact of COVID-19 on personal life and work of HCWs” scale was used to assess the impact of the COVID-19 pandemic on the lives and work of HCWs. The number and percentage of agreement with the points on the scale are shown in Table S5 (extended data). About a third of respondents indicated that due to the COVID-19 Pandemic they had to do work that they had not done before (32.7%) and had an additional workload (37.4%). While the expansion of the work area did not differ from the involvement on the frontline in the fight against the pandemic, the presence of additional workload was more often noted by HCWs who were on the frontline (42.7%), compared with those who were not (33.8%), p<0.001 (Table S4, extended data). Slightly more than a quarter (26.0%) of respondents noted that they worked overtime and there were not enough employees, so they had to cope with various requirements (25.9%), these changes in working conditions were also more often noted among frontline workers, p<0.001 (Tables S4 and S5, extended data).

The psychological situation in the workplace also differed depending on the working conditions. Thus, HCWs who worked on the frontline were more likely to note a large amount of stress at work (42.8%) and the presence of conflicts among colleagues (16.5%), compared with those who were not on the front line (35.2% and 13.1%, respectively), p<0.05 (Tables S4 and S5, extended data).

Direct contact of HCWs with patients, both with a confirmed case of COVID-19 and with any other diseases, raised fears of transmission of diseases to loved ones, and also contributed to the development of stigmas against health care providers in society. Thus, less than a quarter (22.8%) of respondents indicated that they were afraid to tell family members about the risks of contracting the SARS-CoV-2 virus, 17.7% and 12.1% noted that people and their family members, respectively, avoided them because of the nature of their work, and 18.2% of respondents indicated that they avoided telling other people about the nature of their work; these indicators were significantly higher among HCWs who worked on the frontline, compared with those who did not work in dispensary hospitals, p<0.05 (Table S4 and S5, extended data).

Less than three-tenths of respondents (28.6%) indicated that they did not feel gratitude from employers, this was more often observed among HCWs who worked on the frontline. The perceived lack of value for society and the state was indicated by 23.6% and 29.7% of respondents, respectively, and this indicator had no significant differences from the experience of working on the frontline (Tables S4 and S5, extended data).

On average, the level of well-being was lower among those respondents who were at the frontline, but when distributed to countries, reliable results were obtained only for Uzbekistan (Table 3).

Predictors of depression, anxiety and stress

Table S5 (extended data) presents the results of binomial logistic regression analysis to study predictors of depression, anxiety and stress in a general sample of participants. According to the results of the regression analysis, the country was a reliable predictor of the presence of depression, anxiety and stress. Gender was not associated with depression or stress, but women were 1.4 times more likely to experience anxiety compared to men. At the same time, age reduced the risk of having DAS symptoms (Table S5, extended data).

Significant predictors of depression that increased the chances of symptoms were: country – Uzbekistan, being a doctor, taking a managerial position, widowing, and certain changes in life and work related to the COVID-19 pandemic (more stressful work environment, conflicts with colleagues, and lack of a sense of value for the hospital and society). At the same time, having children and expanding the area of responsibility at work in connection with the pandemic reduced the risk of developing symptoms of depression (Table S5, extended data).

The presence of anxiety symptoms was positively associated with country affiliation to Uzbekistan, being a woman, being a doctor, holding a managerial position, working on the frontline to combat the pandemic, widowing, and certain changes in life and work related to the COVID-19 pandemic (more stressful work environment and conflicts with colleagues). The following variables reduced the risk of developing anxiety: older age, having children, and expanding the area of responsibility at work due to the pandemic (Supplementary Table 5, extended data).

In the current study, stress was positively associated with the medical profession and changes in life and work associated with the COVID-19 pandemic, such as a more stressful work environment, conflicts with colleagues, and the lack of a sufficient number of employees. At the same time, country affiliation to Uzbekistan, age, and the presence of children reduced the likelihood of having stress symptoms (Table S5, extended data).

Binomial logistic regression analysis of determining factors associated with DAS symptoms by country is presented in Tables S6-S8 (extended data).

Discussion

For the first time in Central Asia, this study presented the results of an assessment of the mental health and well-being of healthcare workers. The study involved 2,685 HCWs from Kazakhstan, Kyrgyzstan, and Uzbekistan. The prevalence, level and severity of depression, anxiety and stress symptoms, as well as the level of well-being were assessed using self-report online-questionnaires based on the DASS-21 and WHO-5 Well-being Index scales, respectively. The impact of COVID-19 on the personal lives and work of HCWs was also assessed in this study. All scales used showed an acceptable level of internal consistency.

The overall prevalence of depression, anxiety and stress was 17.7%, 24.9% and 5.2%, respectively. A meta-analysis describing the prevalence of DAS symptoms among the HCWs in India during the initial period of the Pandemic revealed a prevalence of depression of 20.1%, anxiety of 25.0 and stress of 36%.15 Another meta-analysis, including studies from China, Indonesia and India, revealed the following prevalence of DAS symptoms: depression (20.0%), anxiety (23%) and stress (8%).16 At the same time, Dzharbusynova et al. (2020) comparing the levels of depression and anxiety using the HADS scale among medical and non-medical workers did not find any differences during the COVID-19 pandemic.17 It is worth noting that according to the Global Mind Project, which evaluates and compares the mental state of people in different countries, showed that in 2023 Kazakhstan, Kyrgyzstan and Uzbekistan had the one of the lowest average scores on MHQ scale. Moreover, participants from Uzbekistan had the on of the highest ratio of distressed/struggling.18

At the same time, the prevalence and level of DAS symptoms varied in our study depending on the country. Thus, the prevalence of depression and anxiety was higher among HCWs in Uzbekistan compared to Kazakhstan and Kyrgyzstan (Table 2). We assume that this was due to the heterogeneity of the sample in the three countries. Thus, in Uzbekistan, in comparison with Kazakhstan and Kyrgyzstan, the average age of participants was significantly lower, and the proportion of men, doctors and managers was higher (Table 1). In support of this hypothesis, age was negatively associated with the presence of depression and anxiety (Table S5, Tables S2 and S3, extended data), moreover, doctors and managers experienced these symptoms more often. At the same time, the presence of anxiety but not depression was associated with gender (Table S5, extended data). A meta-analysis conducted by Rezaei et al. (2022) showed that the highest rate of depressive symptoms was among individuals aged between 29 and 35 years old, women, and administrative staff.19 Chen et al. (2022) found that women, married participants, those with children, people with a higher professional rank and a nurse were more likely to have symptoms of anxiety.20 However, in the current study, having children and working as a nurse compare to doctor position significantly reduced the risk of having DAS symptoms. Moreover, widowhood significantly increased the risk of DAS symptoms, while there was no significant difference in the frequency of manifestations of these symptoms among single, married and divorced people. However, this was typical for HCWs in Kazakhstan, whereas this pattern was not found in the other two countries.

Collectively, a pandemic can increase the mental burden on HCWs, therefore making them vulnerable to mental health problems.21 Moreover, HCWs who are dealing with the COVID-19 pandemic have a significant prevalence of depression, anxiety, and stress.22 Although in the general sample, HCWs who worked on the frontline during the pandemic were more likely to have symptoms of anxiety (Table S5, extended data), there was no significant difference in the country context (Tables S6-S8, extended data). Depression and stress were not associated with COVID-19 frontline work. However, frontline workers were more likely to experience additional workload, working overtime, feeling more stressed at work, conflict among colleagues, social stigma due ti the job features, not well maintained working attitudes, insufficient employees at workplace and absent of appreciation by the employer (Table S3, extended data). Among these changes, a feeling of more stressful work during the pandemic, conflicts in the team, a shortage of labor and a lack of appreciation by the hospital management increased the risk of DAS symptoms. At the same time, the expansion of the area of responsibility reduced this risk (Table S5, extended data). Well-being was lower among COVID-19 frontline workers, especially in Uzbekistan (Table 3).

Investing in the mental health and well-being of HCWs is not only a moral imperative but also a strategic imperative for ensuring the sustainability and effectiveness of healthcare systems in Central Asia. By addressing the psychological needs of HCWs, we can enhance their capacity to deliver high-quality care, mitigate the risk of burnout and attrition, and ultimately improve health outcomes for patients and communities across the region.

Taking together, current research described for the first time the mental health (depression, anxiety and stress) and well-being among HCWs in Central Asia countries. The study identified socio-demographic predictors of DAS symptoms, as well as assessed the role of changes in work and life associated with the COVID-19 pandemic. However, it is necessary to continue more detailed research in the field of psychological well-being and mental health of health workers in this region. Moreover, further comparative studies are needed in the context of other countries and health systems to create favorable working conditions for HCWs.

Study limitations

There were several limitations in the current study. First, the results are based on a cross-sectional study, and the identification of causal relationships is not possible. Second, the socio-demographic characteristics among the participants of the three countries differed, which led to heterogeneity of the subsamples. However, the healthcare systems in these countries are mostly similar. Moreover, like a majority of studies used self-report measures which reflected probable mental health disorders it may rather than actual diagnosis. Finally, current study did not take into account the following socio-demographic factors that could potentially be predictors of DAS symptoms and well-being: COVID-19 infection history, work in a public or private clinic, employee specialization, work experience, availability and satisfaction with compensation for work on the frontline during the Pandemic, and etc.

Conclusion

This study sheds light on the mental health and well-being of healthcare workers (HCWs) in Central Asian countries, with a particular focus on the impact of the COVID-19 pandemic. The prevalence of depression, anxiety, and stress among HCWs in Central Asia is concerning, with a significant proportion of respondents experiencing symptoms indicative of poor mental health. This underscores the urgent need for targeted interventions and support mechanisms to address the psychological well-being of HCWs in the region.

Moreover, our study identifies a range of socio-demographic factors associated with mental health and well-being outcomes among HCWs. These include gender, age, marital and family status, occupation, and managerial position. Understanding these demographic correlates can inform the development of tailored interventions that take into account the specific needs and challenges faced by different groups of HCWs.

The impact of the COVID-19 pandemic on the mental health and well-being of HCWs cannot be overstated. Changes in work and social life resulting from the pandemic were associated with adverse mental health outcomes, further underscoring the importance of addressing both occupational and personal stressors in promoting the well-being of HCWs.

In light of these findings, there is a clear imperative for policymakers, healthcare institutions, and other stakeholders to prioritize the mental health of HCWs in Central Asia. This includes implementing evidence-based interventions such as mental health screening programs, access to counseling and psychosocial support services, and initiatives aimed at promoting a culture of self-care and resilience within the healthcare workforce.

Ethics approval and consent to participate

The study was approved by the Local Ethics Committees of “University Medical Center” Corporate Fund (extract from protocol No. 11 of December 30, 2021) and I.K. Akhunbaev Kyrgyz State Medical Academy (extract from protocol No. 13 of December 08, 2021). Informed consent to participate was obtained from all of the participants.

Consent for publication

Not applicable

Authors’ contributions

Conceptualization and Methodology: TS and AB; Formal analysis: AB; Investigation and Data curation: NB, GJ, AT, RY, SK, DS; Writing - original draft preparation: AB; Writing - review and editing: TS; Supervision: TS.

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Seisembekov T, Bolatov A, Brimkulov N et al. Mental health and well-being of healthcare workers in Central Asia [version 1; peer review: 1 not approved]. F1000Research 2024, 13:872 (https://doi.org/10.12688/f1000research.153832.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
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Reviewer Report 20 Feb 2025
Alessandra De Rose, Sapienza University of Rome, Rome, Italy 
Not Approved
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The paper presents a survey on the mental health of people working in the health care sector in three Central Asian countries. The topic, which has been widely studied in many parts of the world, particularly in relation to the ... Continue reading
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De Rose A. Reviewer Report For: Mental health and well-being of healthcare workers in Central Asia [version 1; peer review: 1 not approved]. F1000Research 2024, 13:872 (https://doi.org/10.5256/f1000research.168775.r361450)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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