You are viewing the site in preview mode

Skip to main content

Exploring the magnitude and predictors of the long-term psychological impact of COVID-19 on frontline healthcare workers in Vietnam: a multi-center, cross-sectional study

Abstract

Background

The detrimental impacts of COVID-19 on the mental well-being of frontline healthcare workers (HCWs) have been well studied. However, the long-term trajectory of their mental well-being remains relatively unexplored. We examined the magnitude and predictors of the psychological impact of COVID-19 on frontline HCWs during the transition into the “new normal” phase.

Methods

A cross-sectional survey was performed on frontline HCWs at two largest designated COVID-19 hospitals in Ho Chi Minh City between May and November 2022. A self-administered questionnaire captured participants’ demographic characteristics and psychological distress including depression, anxiety, and insomnia. Multivariable logistic regression models were used to examine factors associated with psychological distress.

Results

Among 462 HCWs, 85.3% self-reported having good, very good, or excellent mental health before their COVID-19 deployment, compared to 40.7% during the deployment and 55.6% at the time of the study. The prevalence of moderate-to-severe depression was 26.8%, anxiety (20.8%), insomnia (23.4%), and overall psychological distress (73.2%). Predictors for depression included pre-existing physical (adjusted odds ratio [aOR] = 2.09, 95%CI 1.03–4.22, P = 0.04) and mental health (aOR = 3.59, 95%CI 1.31–9.84, P = 0.01) conditions and being deployed during the 3rd (aOR = 6.28, 95%CI 1.12–35.08, P = 0.04) and 4th (aOR = 5.01, 95%CI 1.08–23.16, P = 0.04) COVID-19 wave. Those with mental health conditions before the deployment (aOR = 3.95, 95%CI 1.42–11.0, P = 0.008) were more likely to report anxiety symptoms. Predictors for insomnia included physical health conditions before the deployment (aOR = 2.73, 95%CI 1.37–5.44, P = 0.004), working at field hospitals (aOR = 2.44, 95%CI 1.43–4.16, P = 0.001), and currently being deployed to respond to COVID-19 (aOR = 0.35, 95%CI 0.19–0.67, P = 0.001).

Conclusions

Given the substantial impact of COVID-19 deployment on HCWs’ long-term mental well-being, comprehensive mental health support strategies are urgently needed. As HCWs may overlook their mental health issues, a screening program with psychological support services should accompany them early in future pandemics. Further nationwide studies with longer follow-ups are necessary to understand the full extent of psychological distress among frontline HCWs in Vietnam.

Peer Review reports

Background

Frontline healthcare workers (HCWs) have played a key role in the responses to COVID-19. It is widely acknowledged that large-scale health crises like the COVID-19 pandemic represent a profound challenge to individuals across different age groups and cultures, including frontline HCWs who are particularly vulnerable to enduring mental health issues [1]. This is likely due to their heightened personal and work-related stresses, as well as their new experiences of risk, uncertainty, and vulnerability associated with a new disease [2]. Several studies have revealed high rates of pre-existing mental health distress among HCWs which can worsen during the COVID-19 pandemic [3,4,5,6]. Globally, the negative impact of frontline health work on HCWs’ mental health including depression, anxiety, insomnia, and burnout, has been extensively studied during the peak of the pandemic [7,8,9,10,11,12,13,14,15,16,17]. Interestingly, Asian HCWs experience less profound psychological distress compared to their Western counterparts during COVID-19 [18], which could be attributed to potential under-reporting in the Asian context due to the local prevalent stigma surrounding mental illness [19]. Therefore, further investigation is needed to understand the enduring mental health issues acquired by Asian frontline HCWs so that interventions could be tailored.

Given the evident psychological impact experienced by HCWs during the peak of the COVID-19 pandemic, there has been growing concern regarding long-term health consequences for this vulnerable population. Lessons learnt from the SARS outbreak in Canada highlight that HCWs continued to endure high levels of burnout, psychological distress, and post-traumatic stress for an extended period of 13 to 26 months after the end of the outbreak [20]. Yet, there is limited knowledge about the analogous effects in the context of COVID-19, which represents the most recent global health crisis. A study conducted in Australia between November 2020 to 31 January 2021 found that frontline HCWs’ mental health was notably improved compared to around 10 months earlier during the initial surge of COVID-19 in March 2020 [21]. However, their mental health had not fully returned to the pre-pandemic levels, even during this period when Australia experienced a relatively low number of COVID-19 cases and deaths [21]. Hence, these findings may not accurately reflect the true impact of COVID-19 on changes in mental health of HCWs in other settings over time, especially in countries more heavily affected by the pandemic with comparatively fewer resources, such as Vietnam.

In Vietnam, the first cases of COVID-19 were reported in January 2020, followed by three subsequent COVID-19 waves that were effectively controlled [22]. However, in April 2021, Vietnam experienced its fourth surge of COVID-19, marked as the first significant outbreak [23]. During this surge and subsequent waves, Vietnam had comparably high numbers of cases and deaths on an international scale [24]. Despite facing these challenging circumstances, the long-term psychological impact of COVID-19 on frontline HCWs remains unknown. Therefore, this study examined the magnitude and predictors of psychological distress of COVID-19 on frontline HCWs during the transition into the “new normal” phase. These HCWs included physicians, nurses and other health professionals who were previously deployed to respond to the most severe outbreaks of COVID-19 in southern Vietnam. The study findings will provide valuable insights that help inform best practices for safeguarding the mental health of frontline HCWs during future pandemics.

Methods

Study context, design, and participants

Ho Chi Minh City in Vietnam emerged as the epicenter of the fourth surge of COVID-19 [23], with significant spread and impact in this area [25]. The city faced a prolonged lockdown from May 31 to October 1, 2021, as a response to the outbreak [26]. The Hospital for Tropical Diseases (HTD), a 550-bed hospital located in Ho Chi Minh City, is the largest and leading tertiary teaching hospital for infectious diseases in southern Vietnam. Since early 2020, HTD had been actively involved in treating COVID-19 patients and had become the largest COVID-19-designated hospital since June 2021 [27]. In addition, during the peak of COVID-19 outbreaks, HTD managed the COVID-19 Field-hospital No. 14 in Ho Chi Minh City [28]. Other local public and private hospitals periodically mobilized their HCWs to support the operations of this field hospital.

This multi-center, cross-sectional study was conducted between May 25 and November 25, 2022, which marked approximately two years and four months after the initial major wave of COVID-19 and seven months of the “new normal” in Vietnam [29], without ongoing COVID-19 outbreak and the cessation of lockdowns in the city. The inclusion criterion was HCWs who were deployed to respond to COVID-19. In detail, they were responsible for the care of COVID-19 patients at the study clinics, regardless of their professional roles. Hence, all HCWs, including 440 staff at HTD and 125 staff at COVID-19 Field-hospital No. 14 were invited to participate in the study. An exclusion criterion was potential study participants who refused to participate in this study. The study was approved by Ethics Committees of Nam Dinh University of Nursing (approval number 1270/GCN-HĐĐĐ) and HTD (approval number 2519/QĐ-BVBNĐ). Written informed consent was obtained from all study participants.

Data collection

A self-administered questionnaire was used to collect study participants’ information and was composed of three sections: demographic and general information, mental health self-assessment, and impact of the COVID-19 deployment on mental health including depression, anxiety, and insomnia (Appendix 1).

Demographic and general information section: comprised of 18 questions including four questions related to demography, four questions concerning their profession, two questions pertaining to physical and mental health status prior to deployment, seven questions regarding COVID-19, and one question about previous experience in responding to infectious disease outbreak.

Mental health self-assessment: Included three Likert scale questions with six options corresponding to the levels of health status from “very poor” to “excellent”. Based on these questions, study participants were asked to self-assess their mental health status at the time of the study. They were also asked to retrospectively think about their status before and during the COVID-19 deployment. Depression severity: was assessed using the Patient Health Questionnaire with 9 items (PHQ- 9) [30]. The total score is interpreted as follows: 0–4 (minimal), 5–9 (mild), 10–14 (moderate), 15–19 (moderately severe), and 20–27 (severe). As depression is defined as having a PHQ- 9 score of ≥ 10 [31], participants’ scores were dichotomized into two groups: 0–9 (none-to-mild depression) and 10–27 (moderate-to-severe depression).

Anxiety severity: was evaluated using the Generalized Anxiety Disorder 7-item scale (GAD- 7) [32]. The GAD- 7 score is classified into four groups: 0–4 (minimal), 5–9 (mild), 10–14 (moderate), and 15–21 (severe). Since anxiety is defined as having a GAD- 7 score of ≥ 10 [33], participants were further classified into two groups: 0–9 (none-to-mild anxiety) and 10–21 (moderate-to-severe anxiety).

Insomnia severity: This study used the Insomnia Severity Index (ISI) [34] categorized into: 0–7 (no clinically significant insomnia), 8–14 (subthreshold insomnia), 15–21 (clinical insomnia – moderate insomnia), and 22–28 (clinical insomnia – severe insomnia). Since clinical insomnia is defined as having an ISI score of ≥ 15 [35], participants were dichotomized into two groups: 0–14 (none-to-subthreshold insomnia) and 15–28 (moderate-to-severe insomnia).

The use of these scales to quantify the psychological impact of COVID-19 on frontline HCWs has been validated elsewhere [15, 36, 37]. In Vietnam, these scales have been translated into Vietnamese and tested for reliability and validity [38,39,40].

Statistical analysis

Data management and analysis were performed using the Statistical Package for Social Sciences (SPSS) software version 26. Categorical variables were presented as frequencies and percentages, while continuous variables were described using means with a standard deviation (SD) and range. To assess the impact of COVID-19 deployment on HCWs’ mental health, the overall moderate-to-severe psychological disorder was calculated and defined as a condition in which a participant had been classified as having any of the moderate-to-severe anxiety, depression, and insomnia [41]. In contrast, the overall non-psychological disorder was defined as a condition in which a participant had been classified as not having anxiety, depression, or insomnia. The overall mild psychological disorder included those who were not listed in these two groups. Student’s t-test was used to compare continuous data, and chi-squared and univariable logistic regression models were used to compare categorical variables. Multivariable logistic regression models were deployed to examine predictors of depression, anxiety, and insomnia individually and included variables whose P value < 0.25 in univariate analysis [42]. A significant level of 0.05 was used.

Results

Baseline characteristics of study participants

Among all 440 staff at the HTD and 125 staff at COVID-19 Field-hospital No.14, 355 (80.7%) and 107 (85.6%) agreed to participate in and completed the study respectively, making the total study population of 462 (81.8%) (Fig. 1).

Fig. 1
figure 1

Flowchart of study participants

Among 462 study participants, the mean age was 35 ± 7.3 years old. Men accounted for 44.4% (205/462), and 42.6% (197/462) lived with their partner and children (Table 1). About 92.2% (426/462) worked for public hospitals, and 64.7% (299/462) had a permanent contract with their workplace. Approximately half (50.6%, 234/462) of participants completed a Bachelor’s degree, 45.5% (210/462) were physicians and 36.6% (169/462) were clinical nurses. Regarding the main workplace, 32.7% (151/462) and 24% (111/462) worked at inpatient departments and intensive care units (ICUs), respectively. The mean career duration was 10.5 ± 7.2 years. Most participants did not have any chronic physical health condition (89.2%, 412/462) or mental health issues (95.7%, 442/462) before their COVID-19 deployment. Nearly all (93.7%, 433/462) participants reported previously having COVID-19 or knew someone who had it. Most (97.6%, 451/462) participants were deployed in Ho Chi Minh City and around two-thirds (63.9%, 295/462) worked at COVID-19 field hospitals. Participants mainly managed severely ill patients (63.8%, 295/462). The mean deployment time was 6.5 ± 5.6 months. Only 15.2% (70/462) had previous infectious disease outbreak response experience. At the time of the study, less than one-third (30.1%, 139/462) of participants were still working in the frontline settings.

Table 1 Baseline characteristics of frontline healthcare workers in Vietnam: 2022

Study participants’ mental health self-assessment

Before their COVID-19 deployment, most participants (85.3%, 394/462) self-reported having good, very good, or excellent mental health compared with 40.7% (188/462) when being deployed to respond to COVID-19 and 55.6% (257/462) at the time of the study, respectively (Fig. 2).

Fig. 2
figure 2

Mental health self-assessment among frontline healthcare workers in Vietnam: 2022

Frequency of depression, anxiety, insomnia, and overall psychological distress among study participants at the time of the study

The prevalence of moderate-to-severe depression, anxiety, and insomnia was 26.8% (124/462, 95%CI 22.9–31.2%), 20.8% (96/462, 95%CI 17.2–24.8%), and 23.4% (108/462, 95%CI 19.7–27.6%), respectively (Fig. 3). The prevalence of overall moderate-to-severe psychological distress was 36.8% (170/462, 95%CI 32.4–41.4%) and overall psychological distress was 73.2% (338/462, 95%CI 68.8–77.1%).

Fig. 3
figure 3

Distribution of severity levels of psychological distress among frontline healthcare workers in Vietnam: 2022

Associations between baseline characteristics and moderate-to-severe depression, anxiety, and insomnia among study participants at the time of the study

There was a statistically significant association between moderate-to-severe depression and having physical health conditions (OR = 1.97, 95%CI 1.01–3.77, P = 0.03) and mental health conditions (OR = 4.41, 95%CI 1.61–12.76, P < 0.001) before being deployed to respond to COVID-19 as well as previous infectious disease outbreak response experience (OR = 0.46, 95%CI 0.21–0.93, P = 0.02) (Table 2).

Table 2 Unadjusted predictors tested for moderate-to-severe depression among frontline healthcare workers in Vietnam: 2022

There was a statistically significant association between moderate-to-severe anxiety and having physical health conditions (OR = 2.17, 95%CI 1,08–4,24, P = 0.01) and mental health conditions (OR = 3.39, 95%CI 1.18–9.15, P = 0.006) before being deployed to respond to COVID-19 (Table 3).

Table 3 Unadjusted predictors tested for moderate-to-severe anxiety among frontline healthcare workers in Vietnam: 2022

There was a statistically significant association between moderate-to-severe insomnia and age (P < 0.001), duration of working as a health professional (P < 0.001), having physical health conditions before being deployed to respond to COVID-19 (OR = 2.98, 95%CI: 1.54–5.69, P < 0.001), deployment at field hospitals (OR = 2.09, 95%CI 1.25–3.56, P = 0.003), and currently being deployed to respond to COVID-19 (OR = 0.33, 95%CI 0.17–0.59, P < 0.001) (Table 4).

Table 4 Unadjusted predictors tested for moderate-to-severe insomnia among frontline healthcare workers in Vietnam: 2022

Models for the prediction of moderate-to-severe depression, anxiety, and insomnia among study participants

Predictors for moderate-to-severe depression included physical (aOR = 2.09, 95%CI 1.03–4.22, P = 0.04) and mental health (aOR = 3.59, 95%CI 1.31–9.84, P = 0.01) conditions before being deployed to respond to COVID-19, being deployed during the 3rd (aOR = 6.28, 95%CI 1.12–35.08, P = 0.04) and 4th (aOR = 5.01, 95%CI 1.08–23.16, P = 0.04) COVID-19 wave (Table 5). Regarding moderate-to-severe anxiety, the only predictor for this condition was having mental health conditions before being deployed to respond to COVID-19 (aOR = 3.95, 95%CI 1.42–11.0, P = 0.008). Predictors for moderate-to-severe insomnia included physical health conditions before being deployed to respond to COVID-19 (aOR = 2.73, 95%CI 1.37–5.44, P = 0.004), COVID-19 deployment at field hospitals (aOR = 2.44, 95%CI 1.43–4.16, P = 0.001), and currently being deployed to respond to COVID-19 (aOR = 0.35, 95%CI 0.19–0.67, P = 0.001).

Table 5 Multivariable logistic regression analysis for predictors of moderate-to-severe depression, anxiety, and insomnia among frontline healthcare workers in Vietnam: 2022

Discussion

Despite the abundance of studies investigating the immediate mental health impact of COVID-19 on frontline HCWs [7,8,9,10,11,12,13,14,15,16,17], there remains a scarcity of information on the long-term psychological impact of COVID-19 deployment. This study represents the first investigation into the long-term impact of COVID-19 deployment on the mental well-being of frontline HCWs who previously responded to the most severe outbreaks of COVID-19 in southern Vietnam. Our study suggests a significant decline in the overall mental well-being of frontline HCWs as they faced the challenges and stressors associated with their COVID-19 deployment. Particularly, prior to being deployed to respond to the COVID-19 pandemic, a majority of participants (85.3%) self-reported having good, very good, or excellent mental health. However, this number declined to 40.7% during their deployment to respond to the peak of the COVID-19 pandemic and slightly increased to 55.6% at the time of the study. Prior studies have documented the burden of frontline HCWs’ psychological distress during the peak of the pandemic [7,8,9,10,11,12,13,14,15,16,17], and there has been suboptimal improvement in HCWs’ self-rated mental health after the surge of COVID-19 has also been recorded [21]. Our results underscore the psychological toll experienced by HCWs who were at the forefront of the COVID-19 response. Given the limitation in our quantitative data, incorporating qualitative research methods could further enhance our understanding of the long psychological impact of COVID-19 deployment on frontline HCWs. Such research could provide invaluable insights into the unique experiences, coping mechanisms, and challenges faced by HCWs during their deployment.

In addition, based on the standardized PHQ- 9 [30], GAD- 7 [32], and ISI [34] scales, we found that at the time of the study, the HCWs’ combined overall rates of psychological distress of 73.2% were higher than the self-reported rates of 55.6%. It has been well documented that psychological distress such as depression may go unrecognized because of the lack of psychological symptoms [43]. This suggests that some participants might have overlooked their mental health issues. Notably, our study was conducted when the local COVID-19 outbreaks were well-managed, and as a result, more than two-thirds (69.9%) of our study participants no longer worked in the frontline COVID-19 settings. Despite this, our findings indicate that the psychological impact of COVID-19 on frontline HCWs may persist beyond their deployment period. Our results also highlight the need for comprehensive support systems and resources to address HCWs’ mental well-being during and after their COVID-19 deployment. As suggested elsewhere, this includes implementing mental health screening programs, offering psychological support services, and prioritizing the well-being of HCWs through ongoing monitoring and interventions [44,45,46]. Given the possibility of future large-scale health crises like the COVID-19 pandemic, health authorities should also make this program accompany HCWs as early as the beginning of the health crises. This helps preserve good mental health and emotional well-being of HCWs which subsequently secure the quality and capacity of their work performance.

Our findings also revealed a concerning prevalence of overall moderate-to-severe psychological distress with a rate of 36.8%. Specifically, the prevalence of moderate-to-severe depression, anxiety, and insomnia was 26.8%, 20.8%, and 23.4%, respectively. These rates were significantly higher compared to a study conducted on 661 HCWs in the comparable city of Danang, which utilized the same three mental health scales [41]. That study reported rates of 8.5% for their participants experiencing moderate-to-severe depression, 6.4% for moderate-to-severe anxiety, and 34.5% for insomnia [41]. Additionally, another study conducted in hospitals in southern Vietnam found the depression and anxiety rates of 18.0% and 11.5%, respectively [47]. This study shares similarities in study settings and populations with ours. In addition, it utilized the Depression Anxiety Stress Scales (DASS- 21) that has been proven to have a good internal reliability with the PHQ- 9 and GAD- 7 scales used in our study [48, 49]. Therefore, the disparities in the prevalence of psychological distress between our study and these studies could be attributable to the timing of the studies. Our research was conducted after Vietnam experienced all four severe waves of COVID-19, whereas the previous two studies were conducted during the second wave. The increased severity and higher mortality rates observed in the third and fourth waves would have had a devastating impact on the mental health of frontline HCWs [50]. Our moderate-to-severe depression and anxiety rates are higher than that of a similar study conducted across Vietnam during the fourth surge of COVID-19, which found a rate of 17.5% (88/503, 95%CI 14.4–21.1%) for depression and 9.5% (88/503, 95%CI 7.3–12.4%) for anxiety [51]. This is probably due to the difference in the nature of study participants. This study was conducted on all HCWs including those who did work in the frontline settings [51], while our study exclusively focused on frontline HCWs. It has been well documented that HCWs working on the frontline settings during the COVID-19 pandemic experienced more psychological health issues compared to those working in other settings [52] In light of this, our findings suggest that the severity and impact of each wave of the pandemic can influence the long-term mental health outcomes of frontline HCWs. Understanding these dynamics is crucial for developing targeted interventions and support strategies that address the specific challenges faced by frontline HCWs during different phases of the pandemic.

Although several studies have examined predictors of immediate mental health impact of COVID-19 on frontline HCWs, little is known about predictors of long-term mental health impact. Our study filled out this knowledge gap by exploring factors associated with long-term psychological distress. Our findings revealed that pre-existing physical health conditions before being deployed to respond to COVID-19 were a significant risk factor for moderate-to-severe depression and insomnia, which aligns with the results of a previous study [47]. This suggests that pre-existing physical health conditions may contribute to the vulnerability of HCWs in developing these mental health issues during and after deployment. Furthermore, our study identified that having mental health conditions prior to the COVID-19 deployment was also a risk factor for long-term psychological distress. Previous research has established that pre-existing mental health conditions, such as stress, can increase the likelihood of subsequent medical conditions, including incident psychological distress [53, 54]. Similarly, during the 2nd wave of COVID-19 in Vietnam, being anxious and stressed about current work situations was identified as a risk factor for immediate psychological distress among frontline HCWs [41]. These findings underscore the importance of considering pre-existing mental health conditions and providing adequate support to HCWs who may already be vulnerable to experiencing mental health challenges. We found no association between having COVID-19 disease experience and risks for developing moderate-to-severe psychological disorders including depression, anxiety, and insomnia. This is probably because our research was conducted after all four severe waves of COVID-19 occurred in Vietnam. Almost all participants were similarly documented to experience COVID-19 by either currently having or previously acquiring the disease or having a family member, friend or colleague currently having or previously acquiring the disease at the time the study was conducted. However, we found that being deployed to respond to the 3rd and 4th waves of COVID-19 served as risk factors for long-term depression. Compared to the first two waves of COVID-19, the 3rd wave witnessed a sharp increase in the number of infected patients, and the 4th wave was the most complex and dangerous with most deaths recorded in Vietnam [50]. A similar study conducted on HCWs including those who did work in the frontline settings during the fourth surge of COVID-19 in Vietnam found that nurses and midwives had a lower risk of developing moderate-to-severe depression and anxiety, compared to physicians [51]. However, we found no differences between frontline HCWs with different job titles and risks for psychological disorder development. Our finding reflects the unique psychological disorder risk of frontline HCWs, regardless of their job title.

We found that COVID-19 deployment at field hospitals was a predictor for insomnia among frontline HCWs. To respond to the increased number of patients during the severe outbreaks of COVID-19, various non-medical facilities including schools, universities, colleges, dormitories and apartment buildings were requisitioned as field hospitals alongside the main designated COVID-19 hospitals [55, 56]. Working in these field hospitals represented several challenges to HCWs’ sleep patterns, including reduced available sleep time, inconsistent sleep schedule, and inadequate conditions for proper sleep such as a lack of a dark and quiet environment. These factors likely contributed to the development of chronic insomnia among HCWs [57, 58]. Moreover, our study highlighted the complex and intertwined association between insomnia and the concurrent mental health including anxiety and depression [59]. These mental health factors may further exacerbate sleep disturbances and contribute to the persistence of insomnia symptoms. As of the time of developing this manuscript, local COVID-19 outbreaks have been effectively controlled, and all field hospitals have been closed in Vietnam [55]. It has been recommended that a comprehensive mental health screening program for frontline HCWs should be continued after the pandemic to enable timely mental health support [60]. In light of our findings, this screening program should specifically target HCWs who already had mental and physical health conditions before the deployment, those deployed during the 3rd and 4th COVID-19 waves, and those who worked at field hospitals. Identifying and providing timely support to these at-risk individuals can help mitigate the long-term impact of their COVID-19 deployment on mental health.

Our study has some limitations. First, study participants were asked to self-rate their previous mental well-being which may lead to recall bias. Second, study participants were deployed to respond to the most severe waves of COVID-19 in southern Vietnam. Therefore, the generalizability of our findings to other contexts with different severity levels of COVID-19 outbreaks may be limited. Third, the study specifically examined depression, anxiety, and insomnia in frontline HCWs. While these are important psychological distress, we acknowledge that other relevant mental health conditions might have been overlooked. Future studies could explore a broader range of psychological distress to capture the full spectrum of mental health challenges faced by HCWs in the aftermath of COVID-19 deployment. Another limitation is the timing of our study, which was conducted seven months after Vietnam entered the “new normal” phase. The long-term implications of COVID-19 deployment on HCWs’ mental health might continue to evolve over time [61]. Therefore, longer follow-up studies are needed to better quantify the burden of long-term psychological distress among frontline HCWs.

Conclusion

Our study highlights the substantial impact of COVID-19 deployment on HCWs’ long-term mental well-being. The prevalence of moderate-to-severe psychological distress, including depression, anxiety, and insomnia, was particularly concerning. The psychological impact of COVID-19 on HCWs proportionally increases with the severity of the COVID-19 outbreaks that they were involved in and is prolonged, even after their deployment. Nationwide studies with longer follow-ups are needed to fully explore the magnitude of psychological distress among all HCWs who were deployed to respond to the COVID-19 outbreaks across Vietnam. As HCWs may overlook their mental health issues, a screening program with psychological support services is needed as early as the beginning of the future pandemics.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

aOR:

Adjusted odds ratio

DASS:

Depression Anxiety Stress Scales

GAD- 7:

Generalized Anxiety Disorder 7-item scale

HCWs:

Frontline healthcare workers

ISI:

Insomnia Severity Index

PHQ- 9:

Patient Health Questionnaire with 9 items

SPSS:

Statistical Package for Social Sciences

References

  1. Cabarkapa S, et al. The psychological impact of COVID-19 and other viral epidemics on frontline healthcare workers and ways to address it: a rapid systematic review. Brain Behav Immun - Health. 2020;8:100144.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lewis S, et al. A time for self-care? Frontline health workers’ strategies for managing mental health during the COVID-19 pandemic. SSM Ment Health. 2022;2:100053.

    Article  PubMed  Google Scholar 

  3. Gold JA. Covid-19: adverse mental health outcomes for healthcare workers. BMJ. 2020;369:m1815.

    Article  PubMed  Google Scholar 

  4. Petrie K, et al. Interventions to reduce symptoms of common mental disorders and suicidal ideation in physicians: a systematic review and meta-analysis. Lancet Psychiatry. 2019;6(3):225–34.

    Article  PubMed  Google Scholar 

  5. Nguyen LH, et al. Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study. Lancet Public Health. 2020;5(9):e475–83.

    Article  PubMed  PubMed Central  Google Scholar 

  6. De Kock JH, et al. A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being. BMC Public Health. 2021;21(1):104.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Smallwood N, et al. High levels of psychosocial distress among Australian frontline healthcare workers during the COVID-19 pandemic: a cross-sectional survey. Gen Psychiatr. 2021;34(5):e100577.

    Article  CAS  PubMed  Google Scholar 

  8. Barello S, Palamenghi L, Graffigna G. Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic. Psychiatry Res. 2020;290:113129.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Chor WPD, et al. Burnout amongst emergency healthcare workers during the COVID-19 pandemic: a multi-center study. Am J Emerg Med. 2021;46:700–2.

    Article  PubMed  Google Scholar 

  10. Denning M, et al. Determinants of burnout and other aspects of psychological well-being in healthcare workers during the Covid-19 pandemic: a multinational cross-sectional study. PLoS One. 2021;16(4):e0238666.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Robles R, et al. Mental health problems among COVID-19 frontline healthcare workers and the other country-level epidemics: the case of Mexico. Int J Environ Res Public Health. 2021;19(1):421.

  12. Nguyen TK, et al. Mental health problems among Front-Line healthcare workers caring for COVID-19 patients in Vietnam: a mixed methods study. Front Psychol. 2022;13:858677.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chinvararak C, et al. Mental health among healthcare workers during COVID-19 pandemic in Thailand. PLoS One. 2022;17(5):e0268704.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Teo I, et al. The psychological well-being of Southeast Asian frontline healthcare workers during COVID-19: a multi-country study. Int J Environ Res Public Health. 2022;19(11):6380.

  15. Lai J, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open. 2020;3(3):e203976.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Shaukat N, Ali DM, Razzak J. Physical and mental health impacts of COVID-19 on healthcare workers: a scoping review. Int J Emerg Med. 2020;13(1):40.

    Article  PubMed  PubMed Central  Google Scholar 

  17. van Roekel H, et al. Healthcare workers who work with COVID-19 patients are more physically exhausted and have more sleep problems. Front Psychol. 2020;11:625626.

    Article  PubMed  Google Scholar 

  18. Thatrimontrichai A, Weber DJ, Apisarnthanarak A. Mental health among healthcare personnel during COVID-19 in Asia: a systematic review. J Formos Med Assoc. 2021;120(6):1296–304.

    Article  CAS  PubMed  Google Scholar 

  19. Kudva KG, et al. Stigma in mental illness: perspective from eight Asian nations. Asia Pac Psychiatry. 2020;12(2):e12380.

    Article  PubMed  Google Scholar 

  20. Maunder RG, et al. Long-term psychological and occupational effects of providing hospital healthcare during SARS outbreak. Emerg Infect Dis. 2006;12(12):1924–32.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Stubbs JM, Achat HM, Schindeler S. Detrimental changes to the health and well-being of healthcare workers in an Australian COVID-19 hospital. BMC Health Serv Res. 2021;21(1):1002.

    Article  PubMed  PubMed Central  Google Scholar 

  22. General Department of Preventive Medicine. The first two COVID-19 cases in Vietnam (24th January 2020) [in Vietnamese]. 2022. Available from: https://vncdc.gov.vn/hai-truong-hop-buoc-dau-duoc-xac-dinh-nhiem-chung-vi-rut-corona-moi-ncov-tai-viet-nam-ngay-24-thang-01-nam-2020-nd15025.html. [cited 2022 25 Oct].

  23. Duong MC, et al. Knowledge about COVID-19 vaccine and vaccination in Vietnam: a population survey. J Am Pharm Assoc (2003). 2022;62(4):1197-1205.e4.

    Article  CAS  PubMed  Google Scholar 

  24. WHO. WHO Coronavirus (COVID-19) dashboard. 2022. Available from: https://covid19.who.int/region/wpro/country/vn. [cited 2022 26 Oct].

  25. Duong MC, Nguyen HT, Duong M. Evaluating COVID-19 vaccine hesitancy: a qualitative study from Vietnam. Diabetes Metab Syndr. 2022;16(1): 102363.

  26. Ministry of Health. Ho Chi Minh City officially issued the directive on easing and. ‘opening’ from September 30 [in Vietnamese]. 2021. Available from: https://moh.gov.vn/hoat-dong-cua-dia-phuong/-/asset_publisher/gHbla8vOQDuS/content/nong-tp-hcm-chinh-thuc-ban-hanh-chi-thi-noi-long-mo-cua-tu-sau-ngay-30-9. [cited 2022 16 Nov].

  27. Ho Chi Minh City Health Department. Nomination 2: “Chain of hospital for tropical disease ‘1 + 7’ for fighting Covid-19” - hospital for tropical diseases. Award “Vietnam Medical Achievement in 2022”. 2022. Available from: https://medinet.hochiminhcity.gov.vn/giai-thuong-thanh-tuu-y-khoa-viet-nam-nam-2022/de-cu-6-cham-soc-f0-dua-vao-cong-dong-nang-buoc-benh-nhan-vuot-qua-hiem-ngheo-b-cmobile16495-65159.aspx. [cited 2022 16 Nov].

  28. Anh T. Hospital for tropical diseases in Ho Chi Minh City takes over the Covid-19 resuscitation center from Hue Central Hospital [in Vietnamese]. 2021. Available from: https://nld.com.vn/suc-khoe/benh-vien-benh-nhiet-doi-tp-hcm-tiep-quan-trung-tam-hoi-suc-covid-19-tu-benh-vien-trung-uong-hue-20211215221005802.htm. [cited 2022 16 Nov].

  29. Nguyen MH. The one-year mark of the ‘new normal’ [in Vietnamese]. 2022. Available from: https://hcmcpv.org.vn/tin-tuc/dau-an-1-nam-cua-giai-doan-binh-thuong-moi-1491899588. [cited 2023 9 Mar].

  30. Zhang YL, et al. Validity and reliability of patient health Questionnaire-9 and patient health Questionnaire-2 to screen for depression among college students in China. Asia Pac Psychiatry. 2013;5(4):268–75.

    Article  PubMed  Google Scholar 

  31. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9. J Gen Intern Med. 2001;16(9):606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Dhira TA, et al. Validity and reliability of the generalized anxiety Disorder-7 (GAD-7) among university students of Bangladesh. PLoS One. 2021;16(12):e0261590.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Löwe B, et al. Validation and standardization of the generalized anxiety disorder screener (GAD-7) in the general population. Med Care. 2008;46(3):266–74.

    Article  PubMed  Google Scholar 

  34. Veqar Z, Hussain ME. Validity and reliability of insomnia severity index and its correlation with pittsburgh sleep quality index in poor sleepers among Indian university students. Int J Adolesc Med Health. 2017;32(1):/j/ijamh.2020.32.issue-1/ijamh-2016-0090/ijamh-2016-0090.xml.

  35. Morin CM, et al. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601–8.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Al Ammari M, et al. Mental health outcomes amongst health care workers during COVID 19 pandemic in Saudi Arabia. Front Psychiatry. 2020;11:619540.

    Article  PubMed  Google Scholar 

  37. Cunill M, et al. The impact of COVID-19 on Spanish health professionals: a description of physical and psychological effects. Int J Mental Health Promotion. 2020;22(3):185–98.

    Article  Google Scholar 

  38. Duong L-N-M, et al. Depression, quality of life and associated factors among newly admitted patients at the Hanoi oncology hospital in 2019 [in Vietnamese]. Tap Chi Nghien Cuu Y Hoc. 2020;125(1):136–43.

    Google Scholar 

  39. Le M, et al. Survey of anxiety rate and related factors in elderly in-patients at can tho hospital of traditional medicine during COVID-19 pandemic [in Vietnamese]. Vietnam Med J. 2022;517(2):84–8.

    Google Scholar 

  40. Nguyen T-M, et al. Sleep disturbances among in-patients with cancer in Hai Duong, 2018 [in Vietnamese]. Khoa Hoc Dieu Duong. 2018;1(2):72–8.

    Google Scholar 

  41. Tuan NQ, et al. Prevalence and factors associated with psychological problems of healthcare workforce in Vietnam: findings from COVID-19 hotspots in the National Second Wave. Healthcare (Basel). 2021;9(6):718.

  42. Chowdhury MZI, Turin TC. Variable selection strategies and its importance in clinical prediction modelling. 2020;8(1):e000262.

  43. Feightner JW, Worrall G. Early detection of depression by primary care physicians. CMAJ. 1990;142(11):1215–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Adams TN, Ruggiero RM, North CS. Addressing mental health needs among frontline health care workers during the COVID-19 pandemic. Chest. 2023;164(4):975–80.

    Article  PubMed  Google Scholar 

  45. Aggar C, et al. The impact of COVID-19 pandemic-related stress experienced by Australian nurses. Int J Ment Health Nurs. 2022;31(1):91–103.

    Article  PubMed  Google Scholar 

  46. Halms T, et al. What do healthcare workers need? A qualitative study on support strategies to protect mental health of healthcare workers during the SARS-CoV-2 pandemic. BMC Psychiatry. 2023;23(1):195.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Le Ngoc T. Depression, anxiety, and stress among frontline health workers during the second wave of COVID-19 in Southern Vietnam: a cross-sectional survey. PLOS Glob Public Health. 2022;2(9):e0000823.

    Article  Google Scholar 

  48. Onie S, et al. Assessing the predictive validity and reliability of the DASS-21, PHQ-9 and GAD-7 in an Indonesian sample PsyArXiv. 2020.

  49. Sharma SK, et al. The psychological morbidity among health care workers during the early phase of Covid-19 pandemic in India: a systematic review and meta-analysis. Indian J Community Med. 2023;48(1):12–23.

  50. Minh LHN, et al. COVID-19 timeline of Vietnam: important milestones through four waves of the pandemic and lesson learned. Front Public Health. 2021;9:709067.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Tran B, et al. Psychological impacts of COVID-19 on Vietnamese health workers over the prolonged restricted COVID-19 responses: a cross-sectional study. BMJ Open. 2023;13(8):e069239.

    Article  PubMed  PubMed Central  Google Scholar 

  52. İlhan B, Küpeli İ. Secondary traumatic stress, anxiety, and depression among emergency healthcare workers in the middle of the COVID-19 outbreak: a cross-sectional study. Am J Emerg Med. 2022;52:99–104.

    Article  PubMed  Google Scholar 

  53. Roberts RE, Roberts CR, Chan W. One-year incidence of psychiatric disorders and associated risk factors among adolescents in the community. J Child Psychol Psychiatry. 2009;50(4):405–15.

    Article  PubMed  Google Scholar 

  54. Momen NC, et al. Association between mental disorders and subsequent medical conditions. N Engl J Med. 2020;382(18):1721–31.

    Article  PubMed  PubMed Central  Google Scholar 

  55. VietnamNet. HCMC to close field hospitals accomplishing mission in battle against Covid-19. 2021. Available from: https://vietnamnet.vn/en/hcmc-to-close-field-hospitals-accomplishing-mission-in-battle-against-covid-19-781791.html. [cited 2023 10 Mar].

  56. WHO. COVID-19 in Viet Nam situation report 68. 2021. Available from: https://www.who.int/vietnam/internal-publications-detail/covid-19-in-viet-nam-situation-report-68. [cited 2023 10 Mar].

  57. Singareddy R, et al. Risk factors for incident chronic insomnia: a general population prospective study. Sleep Med. 2012;13(4):346–53.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Krystal AD, Prather AA, Ashbrook LH. The assessment and management of insomnia: an update. World Psychiatry. 2019;18(3):337–52.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Oteir AO, et al. Depression, anxiety and insomnia among frontline healthcare workers amid the coronavirus pandemic (COVID-19) in Jordan: a cross-sectional study. BMJ Open. 2022;12(1):e050078.

    Article  PubMed  Google Scholar 

  60. Usher K, Durkin J, Bhullar N. The COVID-19 pandemic and mental health impacts. 2020;29(3):315–318.

  61. Umbetkulova S, et al. Mental health changes in healthcare workers during COVID-19 pandemic: a systematic review of longitudinal studies. Eval Health Prof. 2024;47(1):11–20.

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the Australian Government through the Australian Alumni Grants Fund [grant number AAGF-R4-00090] to Minh Cuong Duong.

Author information

Authors and Affiliations

Authors

Contributions

CMD, BTD, and HTN designed the study. MCD, BTD, BTN, and HTN performed data collection. MCD, BTD and HTN performed statistical analysis. MCD, BTD, HTN, BTN, TTV, SL and TNS interpreted the results. MCD, BTD and HTN drafted the manuscript. All authors revised the paper critically for important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Minh Cuong Duong.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in accordance with the guidelines outlined in the Declaration of Helsinki. In addition, the study was approved by Ethics Committees of Nam Dinh University of Nursing (approval number 1270/GCN-HĐĐĐ) and HTD (approval number 2519/QĐ-BVBNĐ). Written informed consent was obtained from all study participants.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nguyen, H.T., Duong, B.T., Vu, T.T. et al. Exploring the magnitude and predictors of the long-term psychological impact of COVID-19 on frontline healthcare workers in Vietnam: a multi-center, cross-sectional study. BMC Health Serv Res 25, 553 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-025-12702-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-025-12702-z

Keywords