Literature DB >> 33324126

Mental Health and Health-Related Quality-of-Life Outcomes Among Frontline Health Workers During the Peak of COVID-19 Outbreak in Vietnam: A Cross-Sectional Study.

Hung Manh Than1, Vuong Minh Nong2, Cap Trung Nguyen1, Khiem Phu Dong3, Hoa Thi Ngo4, Tra Thu Doan2, Nga Thu Do2, Trang Huyen Thi Nguyen5, Thanh Van Do2, Co Xuan Dao6, Tuan Quang Nguyen6, Thach Ngoc Pham3, Cuong Duy Do2.   

Abstract

PURPOSE: Mental health is an important component of the protection strategy for healthcare workers (HCWs). However, it has not been well described in Vietnam during the COVID-19 outbreak. This study aims to measure the psychological distress and health-related quality-of-life among frontline healthcare workers during the peak of the outbreak in Vietnam. PATIENTS AND METHODS: We conducted a cross-sectional survey on 173 health workers at two national tertiary hospitals in Hanoi, Vietnam from March to April 2020. The psychological distress was measured by the Depression, Anxiety, and Stress Scale - 21 Items (DASS-21), Impact of Event Scale - Revised (IES-R), and the Insomnia Severity Index (ISI). EQ-5D-5L was used to determine the health-related quality-of-life (HRQoL) outcomes.
RESULTS: Among 173 HCWs, the proportion of reported depression symptoms, anxiety symptoms, and stress was 20.2%, 33.5%, and 12.7%, respectively. The median EQ-5D-5L index score was 0.93 (IQR=0.85-0.94), and the anxiety/depression aspect had the highest reported problems. The most COVID-19-specific concerns among frontline HCWs were the reduction of income (59%) and the increase of living costs (54.3%). HCWs working in the COVID-19-designated hospital had a significantly higher rate of mental health problems and had a lower HRQoL outcome than those working in non-COVID-19-designated hospitals. Other factors associated with psychological distress and sleep problems include age, job title, income, chronic diseases status, and years of working in healthcare settings. HCWs who were ≥30 years old, had higher working years, had higher incomes, and had mental health and sleep problems were more likely to have lower HRQoL scores.
CONCLUSION: We reported a moderate rate of psychological distress and lower HRQoL outcomes among frontline HCWs during the COVID-19 outbreak in Vietnam. Various factors were found to be associated with mental health and HRQoL that might be useful for implementing appropriate interventions for HCWs in low-resource settings.
© 2020 Manh Than et al.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; health workers; health-related quality-of-life; mental health; psychological distress

Year:  2020        PMID: 33324126      PMCID: PMC7733435          DOI: 10.2147/RMHP.S280749

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


Introduction

The global pandemic Coronavirus Disease 2019 (COVID-19) has been spread to over 200 countries and territories around the world, with the total number of infected cases at more than 26,000,000 and nearly 900,000 deaths, as of September 4, 2020.1 In Vietnam, the government has issued a highly restricted infection prevention and control (IPC) policy since early January 2020.2,3,4 As of September 5, 2020, the total confirmed cases of COVID-19 exceeded 1,000, and 35 deaths had been reported. The COVID-19 outbreak in Vietnam has been experienced in two waves, the first wave was from January 25 to July 24, 2020, when the epicenters were imported cases from Asia-Pacific and European countries. The second wave started from July 25, 2020, and there was widespread community transmission in some localities. The healthcare system in Vietnam has been significantly improved over recent years.5 However, the overall capacity of health resources and the workforce are still limited when compared to other countries in the Asia-Pacific region.6 The country reports only 8.3 medical doctors and 14.4 nurses per 10,000 population,7 which causes a common situation of patient overcrowded in many hospitals and healthcare centers.5 The peak-duration of the COVID-19 outbreak during the first wave in the country was from the 2nd-week of March to early April 2020. The highest number of active cases at a time was 178, and more than half of them were hospitalized at the National Hospital for Tropical Diseases (NHTD) in Hanoi. The psychological distress and associated mental health problems during the COVID-19 outbreak have been well-documented in frontline HCWs.8,9 In Vietnam, availability and accessibility to psychiatry services are limited in both primary healthcare and occupational health areas. The HCWs are the major workforce and play the most crucial role in the COVID-19 containment and treatment strategy, and mental health support should be addressed in a comprehensive intervention to protect HCWs. During the second wave, the confirmed cases of SARS-CoV-2 have been rapidly growing, which doubled the total detected positives compared to the first wave after only 4 weeks. The second wave started with a nosocomial transmission in a major hospital, and a high proportion of non-COVID-19 critical ill patients and HCWs were infected.10 It was estimated that thousands of HCWs were quarantined followed the containment measures, which significantly increased the burden for the healthcare system. During recent years, health-related quality-of-life (HRQoL) has been widely used as a valuable health outcomes measurement in various healthcare settings and played an important role in interventions development and policy-making.11–13 HRQoL could be assessed by generic instruments or disease-specific instruments.14 Specific HRQoL tools were usually used in patients with certain conditions including chronic diseases such as HIV or cancer.15,16 Generic HRQoL instruments could be applied in wider targets across many settings including healthy people. The advantages of generic HRQoL instruments were their simply characteristics, covering multiple health aspects, and the convenience of disseminating through patient’s self-report, which help in rapid identification of health problems and comparability between different sub-groups among large populations.14,17–19 In Vietnam, evidence of the impact of the COVID-19 outbreak to mental health and HRQoL outcomes in HCWs were under researched.20 In this study, we aim to compare the psychological distress, sleep disorder, and HRQoL outcomes between frontline healthcare workers at a COVID-19-designated hospital and a non-designated tertiary referral hospital in northern Vietnam during the peak of the outbreak in Vietnam, from March–April 2020.

Patients and Methods

Study Setting and Participants

We conducted a cross-sectional study among frontline HCWs working at the NHTD and the Center for Tropical Diseases (CTD), an affiliated department of Bach Mai Hospital (BMH), during March and April 2020. NHTD is the largest hospital for infectious and tropical diseases in Vietnam and has been designated as a COVID-19 treatment center for all confirmed SARS-CoV-2 cases in the Northern. BMH was one of the largest general tertiary hospital in the country. During the outbreak, the CTD of BMH was assigned for screening patients, detecting suspected cases, and transferring all suspicious persons to designated hospitals. Convenience sampling was used to select participants if they were: 1) physicians, nurses, technicians, or pharmacists; 2) worked at the two hospitals during the study period; and 3) agreed to join the survey. A total of 173 HCWs participated in the survey, which accounted for 81% and 94% of total HCWs working at NHTD and CTD, respectively.

Data Collection and Measurements

Demographic Characteristics

We collected data about the demographics, years of work since graduation, and type of work of HCWs by using a structural self-reported questionnaire.

Mental Health Problems and Psychological Distress

The Depression, Anxiety, and Stress Scale – 21 Items (DASS-21) was used to measure the perceived stress, anxiety, and depression symptoms during the COVID-19 outbreak in Asia.21–25 The cut-off points for symptoms of depression, anxiety, and stress were ≥10, ≥8, and ≥15, respectively.26 The DASS-21 has been previously validated in Vietnamese populations, and showed good sensitivity and reliability to detect mental health disorders.27,28 We applied the Impact of Event Scale – Revised (IES-R) and the Insomnia Severity Index (ISI) to assess the psychological distress and insomnia disorder among participants. For the IES-R, we used the cut-off of ≥24 to identifying a clinical concern of post-traumatic stress disorder (PTSD).29 Respondents were considered as clinical insomnia if they reported the ISI score ≥15.30 The Vietnamese version of IES-R and ISI scales were translated by experienced mental health professionals, and piloted in 10 HCWs for language validation before being disseminated. An additional series of nine questions were used to identify the perceived distress in several aspects specifying for COVID-19. These items were retrieved from a pre-study focus discussion with eight HCWs at NHTD.

Health-Related Quality-of-Life

HRQoL was measured by European Quality of Life-Five Dimension-Five Level Scale (EQ-5D-5L). The EQ-5D-5L is a widely used HRQoL instrument consisting of five questions with responses on a five level Likert scale.31 The EQ-5D-5L assessed five dimensions of HRQoL, including mobility, self-care, usual activities, pain or discomfort, and mental health condition. A health utility index was calculated from five items, and higher scores indicated higher HRQoL outcomes. In this study, we used a value set from Vietnamese populations to calculate health unity index scores (ranging from −0.5115 to 1).32

Statistical Analysis

Descriptive analysis was used to describe the study’s variables. We used chi-square test and Mann–Whitney U-test to compare the qualitative and quantitative variables between designated hospital and non-designated hospital, respectively. Multivariate logistic and linear regression were applied to determine associated factors with mental health and HRQoL outcomes among participants. We used the stepwise forward technique to obtain the appropriative model, which excluded the variable with significant level <0.2.

Results

In total 173 HCWs were enrolled in the study, the median age was 31, with 41.6% <30 years old; 68.2% female; and the majority of participants were nurses (63%). The median years of working in the medical field was 6 years (IQR=3–12); and nurses/other HCWs had a higher median years of experience working (6.5 years) than medical doctors (3 years). There was 19.7% of HCWs who had comorbidities, including cardiovascular diseases (2.3%), chronic obstructive pulmonary disease (1.2%), chronic hepatitis (10.4%), and musculoskeletal diseases (7.5%). The rate of current smokers was 8.1%, and overweight or obesity was 15% (Table 1).
Table 1

General Characteristics of HCWs During the COVID-19 Outbreak in Vietnam

General CharacteristicsDesignated Hospital (N=106)Non-Designated Hospital (N=67)Total (N=173)P-value
Gender, n (%)
 Male42 (39.6%)13 (19.4%)55 (31.8%)0.05
 Female64 (60.4%)54 (80.6%)118 (68.2%)
Age, Median (IQR)30 (27–36)32 (29–38)31 (27–36)0.07
Major
 Physicians33 (31.1%)10 (14.9%)43 (24.9%)0.05
 Nurses62 (58.5%)47 (70.2%)109 (63%)
 Others11 (10.4%)10 (14.9%)21 (12.1%)
Years of working, Median (IQR)6 (3–12)7 (3–12)6 (3–12)0.29
Monthly incomes,* Median (IQR)10,000 (6,000–10,000)10,000 (7,000–14,000)10,000 (7,000–12,000)0.02
Having chronic diseases, n (%)15 (14.2%)19 (28.4%)34 (19.7%)0.02
Current smokers, n (%)8 (7.6%)9 (13.4%)17 (9.8%)0.20
Body mass index, n (%)
 Underweight8 (7.5%)6 (9.0%)14 (8.1%)0.64
 Normal84 (79.3%)49 (73.1%)133 (76.9%)
 Overweight/Obesity14 (13.2%)12 (17.9%)26 (15.0%)

Note: *In million Vietnam Dong.

Abbreviation: IQR, interquartile range.

General Characteristics of HCWs During the COVID-19 Outbreak in Vietnam Note: *In million Vietnam Dong. Abbreviation: IQR, interquartile range. The frequency of depression symptoms, anxiety symptoms, and stress, measured by DASS-21 scale, were 20.2%, 33.5%, and 12.7%, respectively. There were 12.1% and 20.2% of HCWs who had major PTSD symptoms and sleeping disorders, respectively. The proportion of mental health problems of HCWs from the designated hospital was significantly higher than those of HCWs from non-designated hospitals. Using EQ-5D-5L to measure HRQoL, we found that anxiety/depression dimension was the most reported problems among respondents (70.5%), followed by mobility (26.6%), pain/discomforts (24.3%), usual activities (19.7%), and self-care (6.4%), respectively. The median of EQ-5D-5L index score was 0.93 (ranging from 0.27–1.00; 22.0% had perfect HRQoL scores) which was significantly better among HCWs in non-designated hospitals (0.93 vs 0.87) (Table 2).
Table 2

Mental Health and HRQoL Outcomes of HCWs During the COVID-19 Outbreak

Designated Hospital (N=106)Non-Designated Hospital (N=67)Total (N=173)P-value
Mental health problems
 Depression symptoms, n (%)27 (25.5%)8 (11.9%)35 (20.2%)0.03
 Anxiety symptoms, n (%)49 (46.2%)9 (13.4%)58 (33.5%)<0.001
 Stress, n (%)19 (17.9%)3 (4.5%)22 (12.7%)0.01
 Major PTSD, n (%)18 (17.0%)3 (4.5%)21 (12.1%)0.01
 Insomniac, n (%)27 (25.5%)8 (11.9%)35 (20.2%)0.03
DASS21 scores, Median (IQR)
 DASS21-Depression4 (2–10)2 (0–6)4 (0–8)0.004
 DASS21-Anxiety6 (2–12)2 (0–4)4 (2–10)<0.001
 DASS21-Stress10 (4–14)4 (2–10)8 (4–14)0.001
IES-R score, Median (IQR)15 (8–21)6 (3–12)12 (5–19)<0.001
ISI score, Median (IQR)10 (8–15)9 (7–12)10 (7–14)0.09
EQ-5D-5L profile
 Mobility,* n (%)34 (32.1%)12 (17.9%)46 (26.6%)0.04
 Self-care,* n (%)9 (8.5%)2 (3.0%)11 (6.4%)0.15
 Usual activities,* n (%)22 (20.8%)12 (17.9%)34 (19.7%)0.65
 Pain/Discomfort,* n (%)29 (27.4%)13 (19.4%)42 (24.3%)0.24
 Anxiety/Depression,* n (%)84 (79.3%)38 (56.7%)122 (70.5%)0.002
EQ-5D-5L index score, Median (IQR)0.87 (0.80–0.93)0.93 (0.88–1.00)0.93 (0.85–0.94)0.002
VAS score, Median (IQR)95 (85–99)95 (90–100)95 (90–100)0.20

Note: *Having problems.

Abbreviations: HRQoL, health-related quality-of-life; PTSD, post-traumatic stress disorder; DASS21, The Depression, Anxiety and Stress Scale – 21 Items; IQR, interquartile range; IES-R, Impact of Event Scale – Revised; ISI, Insomnia Severity Index; EQ-5D-5L, European Quality of Life-Five Dimension-Five Level Scale; VAS, Visual Analog Scale.

Mental Health and HRQoL Outcomes of HCWs During the COVID-19 Outbreak Note: *Having problems. Abbreviations: HRQoL, health-related quality-of-life; PTSD, post-traumatic stress disorder; DASS21, The Depression, Anxiety and Stress Scale – 21 Items; IQR, interquartile range; IES-R, Impact of Event Scale – Revised; ISI, Insomnia Severity Index; EQ-5D-5L, European Quality of Life-Five Dimension-Five Level Scale; VAS, Visual Analog Scale. The most COVID-19 specific concerns among frontline HCWs were the reduction of income (59%) and increase of living costs (54.3%). In HCWs from COVID-19-designated hospitals, the proportion of reported concerns about the preventive measures were significantly higher than HCWs from non-designated hospitals, including risks of transmission (53.8% vs 26.9%; P=0.01), availability of personal protective equipment (PPE) (55.7% vs 25.4%; P<0.001), and overall IPC status at their hospital (60.4% vs 20.9%; P<0.001) (Table 3).
Table 3

COVID-19-Related Concerns of HCWs During COVID-19 Outbreak

COVID-19-Related ConcernsDesignated Hospital (N=106) n (%)Non-Designated Hospital (N=67) n (%)Total (N=173) n (%)P-value
Concerned that they may get infected during work and care for patients57 (53.8%)18 (26.9%)75 (43.4%)0.01
Concerned that they may be able to transmit to family member(s)52 (49.1%)34 (50.8%)86 (49.7%)0.83
Concerned that they may not having adequately personal protective equipment59 (55.7%)17 (25.4%)76 (43.9%)<0.001
Concerned about the status of IPC at the hospital64 (60.4%)14 (20.9%)78 (45.1%)<0.001
Concerned that the outbreak may affect income58 (54.7%)44 (65.7%)102 (59%)0.15
Concerned that the outbreak may increase living costs54 (50.9%)40 (59.7%)94 (54.3%)0.26
Concerned about the possibility of being quarantined at hospital to serve continuously for long period of time35 (33%)26 (38.8%)61 (35.3%)0.44

Abbreviation: IPC, infection prevention and control.

COVID-19-Related Concerns of HCWs During COVID-19 Outbreak Abbreviation: IPC, infection prevention and control. In multivariate logistic regression, HCWs working in a COVID-19-designated hospital were found to have more mental health problems than those working in non-designated hospitals (aOR=3.62; P<0.01). Other factors associated with having mental health problems were those having chronic diseases (aOR=2.61; P<0.05), having concerns of PPE availability (aOR=2.95; P<0.05), and having a shorter duration of working in medical field (aOR=0.17; P<0.05). Clinical doctors had less major PTSD symptoms and other HCWs (aOR=0.18; P<0.05). HCWs were concerned about the risk transmission of COVID-19 during work, were afraid of long-term serving at the hospital, and had higher working years were more likely to have clinical insomnia (Table 4).
Table 4

Multivariate Logistic Regression of Factors Associated with Mental Health Outcomes

Mental Health ProblemsMajor PTSDClinical Insomnia
aOR95% CIaOR95% CIaOR95% CI
Designated hospital vs non-designated hospital3.62**1.54–8.4729.04**2.91–289.811.330.49–3.65
Age (≥30 years vs <30 years)0.550.26–1.170.25*0.06–0.99
Job (Clinical doctor vs Others)0.18*0.04–0.93
Income quintiles (Second vs First)14.28*1.25–163.18
Chronic diseases (Yes vs No)2.61*1.05–6.48
Current smokers (Yes vs No)4.560.76–27.49
BMI (Under/Overweight vs Normal)0.320.06–1.78
Concerned about may get infected during work (Yes vs No)5.31*1.22–23.034.37*1.51–12.67
Concerned about may not having adequately PPE (Yes vs No)2.93*1.34–6.390.320.07–1.35
Concerned about the status of IPC at the hospital (Yes vs No)2.850.68–11.890.440.15–1.28
Concerned that the outbreak may affect income (Yes vs No)3.760.96–14.72
Concerned about the long-term quarantined (Yes vs No)1.990.89–4.485.14*1.6–16.47
Worked years quintiles (vs First)
 Second0.17*0.04–0.683.86*1.05–14.22
 Fourth5.81*1.25–27.03
 Fifth2.940.58–14.9

Notes: *P-value<0.05; **P-value<0.01.

Abbreviations: PTSD, post-traumatic stress disorder; aOR, adjusted odds ratio; 95% CI, 95% confidence interval; BMI, body mass index; PPE, personal protective equipment; IPC, infection prevention and control.

Multivariate Logistic Regression of Factors Associated with Mental Health Outcomes Notes: *P-value<0.05; **P-value<0.01. Abbreviations: PTSD, post-traumatic stress disorder; aOR, adjusted odds ratio; 95% CI, 95% confidence interval; BMI, body mass index; PPE, personal protective equipment; IPC, infection prevention and control. HCWs who suffered from mental health problems (aCoeff=−0.06; P<0.05) and sleeping disorders symptoms (aCoeff=−0.04; P<0.05) had higher risk of having lower HRQoL index score than those who did not. Concerned about the long-term quarantine at hospital, longer years of working in a medical field and higher income were found to be associated with a lower score of EQ-5D-5L index (Table 5).
Table 5

Multivariate Linear Regression of Factors Associated with HRQoL Outcomes

EQ-5D-5L Index ScoresVAS Scores
aCoeff95% CIaCoeff95% CI
Designated hospital vs non-designated hospital0.07−0.01–0.150.83−2.21–3.88
Age (≥30 years vs <30 years)0.05*0.01–0.08
Years of working quintiles (vs First)
 Fourth−0.04*−0.08 - −0.005
 Fifth−0.03−0.08–0.012.71−0.79–6.21
Income quintiles (vs First)
 Third−0.11*−0.2 - −0.03
 Fourth−0.09*−0.17 - −0.004
 Fifth−0.09*−0.17 - −0.01
Chronic diseases (Yes vs No)−3.2−6.66–0.26
Concerned that the outbreak may affect income (Yes vs No)3.39*0.47–6.31
Concerned about the long-term quarantined (Yes vs No)−0.04*−0.07 - −0.004−3.96*−7.04–−0.89
Mental health problems (Yes vs No)−0.06**−0.1 - −0.03−4.7**−7.59–−1.81
Clinical insomnia (Yes vs No)−0.04*−0.09 - −0.004
Constant0.81**0.7–0.9392.56**87.29–97.83

Notes: *P-value<0.05; **P-value<0.01.

Abbreviations: EQ-5D-5L, European Quality of Life–Five Dimension–Five Level Scale; VAS, Visual Analog Scale; aCoeff, adjusted coefficient; 95% CI, 95% confidence interval.

Multivariate Linear Regression of Factors Associated with HRQoL Outcomes Notes: *P-value<0.05; **P-value<0.01. Abbreviations: EQ-5D-5L, European Quality of Life–Five Dimension–Five Level Scale; VAS, Visual Analog Scale; aCoeff, adjusted coefficient; 95% CI, 95% confidence interval.

Discussion

To our knowledge, this is the first survey reported to assess the psychological impact of COVID-19 on mental health and HRQoL outcomes among frontline HCWs in Vietnam. We found a moderate rate of psychological problems in 173 staff under work at a COVID-19-designated hospital and a non-designated tertiary national hospital during the peak of the outbreak in the first wave of COVID-19. In overall, the data showed a slightly lower rate of perceived depression and distress symptoms among HCWs in Vietnam when compared to several reports in China, Italy, or the US.8,33–35 The difference reflected the fact that Vietnam had a low number of COVID-19 active cases and the majority were in mild condition in the first wave from January to March 2020. In a setting of limited health resources such as Vietnam, flattening the curve of active cases through high-level and aggressive prevention measures could be the most appropriative approach to reduce the burden for the healthcare system, as well as minimize the work pressure and the overwhelmed situation among HCWs.2,3 A higher proportion of mental health problems and lower scores of HRQoL were found in HCWs from the COVID-19-designated hospital. These findings could be explained by the higher workloads among HCWs at the designated hospital, including screening for suspected cases, receiving quarantined people, as well as providing treatment for confirmed cases. Meanwhile, in non-designated hospitals, the main tasks were only screening and transferring. In China, a higher rate and more severe mental health problems were found among HCWs from designated hospitals in Wuhan compared to non-Wuhan-based and outside Hubei hospitals.36,37 The clinical doctors were less likely to have major PTSD symptoms than nurses and other HCWs. Studies showed mixed findings about the association between job title and level of distress during the COVID-19 outbreak. In Singapore, it was reported that non-medical HCWs had a significantly higher rate of distress than clinical staff.38 In China, a recent meta-analysis study showed that doctors had a higher frequency of depression and anxiety symptoms than nurses.8 In our experience, the higher level of psychological distress in nursing staff may be influenced by the nature of their work, when they were required to perform multiple tasks at the same time, including both administrative and medical professional work.39,40 The median score of EQ-5D-5L among HCWs was 0.95 (IQR=0.85–0.94), and 22.0% of them reported perfect health condition, which was not different from reports in the general population in Vietnam,32,41 and in China during the COVID-19 outbreak.42 However, the median HRQoL score was significantly lower in HCWs from the designated hospital compared to those from the non-designated hospital (0.87; IQR=0.80–0.93). The overall EQ-5D-5L score for HCWs in this study was higher than Vietnamese patients suffering from diabetes (0.8),43 human immunodeficiency virus (HIV) (0.8),44 skin diseases (0.73),45 respiratory diseases (0.66),46 dengue fever (0.66),47 frail elderly (0.58),48 and elderly after fall injury (0.46).49 In addition, the anxiety/depression aspect was the most reported problem among HCWs from both hospitals (79.3% in the designated hospital and 56.7% in the non-designated hospital). This finding illustrated that mental health was the major contributor to the reduction of HRQoL in HCWs during the COVID-19 outbreak in Vietnam, and psychological interventions could both benefit mental health and the overall general health status of frontline HCWs. In many countries with a high burden of COVID-19, various mental health interventions have been deployed for frontier HCWs, such as online training, telehealth supports, behavioral group therapy, cognitive behavioral therapy (CBT), and mindfulness-based therapy.50 Recent evidence has shown that electronically delivered CBT was a cost-effective intervention in various settings,51 and mindfulness-based therapy was also a promising intervention.52,53 However, in Vietnam, the inadequate mental healthcare system and lack of psychiatry services might be a major barrier for having effective interventions for HCWs.54,55 The most COVID-19 specific concerns among HCWs were that the outbreak might affect their income and increase living costs. This situation was not only encountered in the medical area, but in all other fields, where the outbreak has significantly impacted on most socioeconomic aspects.56 Our findings showed that community-level interventions could be a potential solution to reduce the external pressure on the work environment for HCWs. As they were the primary workforce in the outbreak, front-line HCWs may receive greater incentives for remuneration, fee waivers, living expenses, as well as other supports for their children. HCWs at the designated hospital had more concerns about the risk of transmission and protection status than those from the non-designated hospital. This was an understandable result when the designated hospitals received a larger number of COVID-19 patients, meaning HCWs there had a much higher frequency of direct contacts with infected cases. However, these factors contributed significantly to the increase of psychological distress, which suggested that the IPC measures in hospital still need to be better managed. The actual situation in Vietnam showed that nosocomial transmission in the hospital setting was the major driver of the two largest epicenters in the country, one that caused the second wave of the outbreak.9 Other COVID-19-related factors associated with insomnia symptoms and lower HRQoL scores were the possibility of being quarantined at hospital to serve continuously for further long-term. Shift work has been proven to be associated with various health aspects of HCWs, including both physical and mental health outcomes.57 This suggests that policy-makers must carefully review and developappropriate shift schedules, as well as transfer outreach HCWs from other hospitals to support COVID-19-designated hospitals if necessary. The study has several limitations, including the small sample size, and non-availability of baseline data. In addition, data from NHTD and BMH were not representative for all HCWs in Vietnam, and a cross-sectional design might not be able to establish causal inference. We suggested further studies should be focused on the long-term impact of the outbreak on mental health status, as well as the urgent need of multi-level interventions to address the COVID-19-related psychological distress in healthcare workers.

Conclusion

The study showed a moderate level of psychological distress and HRQoL outcomes among HCWs in Vietnam during the peak of the first wave of COVID-19 outbreak from March to April 2020. HCWs from the designated hospital had a significantly higher burden of mental health and lower HRQoL score than those from non-designated hospital. Mental health aspect was the primary contributor to the reduction of HRQoL among respondents, which suggested psychological interventions could both benefit the mental health and general health status of frontier HCWs. Various other factors were found to be associated with mental health and HRQoL outcomes that might be useful for policy-makers and hospital managers in low-resource settings during the COVID-19 outbreak.
  51 in total

Review 1.  A comparative review of health-related quality-of-life measures for use in HIV/AIDS clinical trials.

Authors:  Darren J Clayson; Diane J Wild; Paul Quarterman; Isabelle Duprat-Lomon; Maria Kubin; Stephen Joel Coons
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

2.  The second wave of COVID-19 in a tourist hotspot in Vietnam.

Authors:  Nong Minh Vuong; Nguyen Thi Le Quyen; Doan Thu Tra; Thanh Do Van; Nguyen Quang Tuan; Dao Xuan Co; Nguyen Thi Huyen Trang; Do Duy Cuong
Journal:  J Travel Med       Date:  2020-09-18       Impact factor: 8.490

3.  Mental health in Vietnam: Burden of disease and availability of services.

Authors:  Duong Anh Vuong; Ewout Van Ginneken; Jodi Morris; Son Thai Ha; Reinhard Busse
Journal:  Asian J Psychiatr       Date:  2011-02-15

Review 4.  Measuring health-related quality of life.

Authors:  G H Guyatt; D H Feeny; D L Patrick
Journal:  Ann Intern Med       Date:  1993-04-15       Impact factor: 25.391

5.  Effects of Different Comorbidities on Health-Related Quality of Life among Respiratory Patients in Vietnam.

Authors:  Chau Quy Ngo; Phuong Thu Phan; Giap Van Vu; Quyen Le Thi Pham; Long Hoang Nguyen; Giang Thu Vu; Tung Thanh Tran; Huong Lan Thi Nguyen; Bach Xuan Tran; Carl A Latkin; Cyrus S H Ho; Roger C M Ho
Journal:  J Clin Med       Date:  2019-02-07       Impact factor: 4.241

6.  Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry.

Authors:  Fengyi Hao; Wanqiu Tan; Li Jiang; Ling Zhang; Xinling Zhao; Yiran Zou; Yirong Hu; Xi Luo; Xiaojiang Jiang; Roger S McIntyre; Bach Tran; Jiaqian Sun; Zhisong Zhang; Roger Ho; Cyrus Ho; Wilson Tam
Journal:  Brain Behav Immun       Date:  2020-04-27       Impact factor: 7.217

7.  Occupational Stress Among Health Worker in a National Dermatology Hospital in Vietnam, 2018.

Authors:  Anh Nguyen Ngoc; Xuan Le Thi Thanh; Hue Le Thi; Anh Vu Tuan; Thanh Nguyen Van
Journal:  Front Psychiatry       Date:  2020-01-24       Impact factor: 4.157

Review 8.  Fangcang shelter hospitals: a novel concept for responding to public health emergencies.

Authors:  Simiao Chen; Zongjiu Zhang; Juntao Yang; Jian Wang; Xiaohui Zhai; Till Bärnighausen; Chen Wang
Journal:  Lancet       Date:  2020-04-02       Impact factor: 79.321

Review 9.  The socio-economic implications of the coronavirus pandemic (COVID-19): A review.

Authors:  Maria Nicola; Zaid Alsafi; Catrin Sohrabi; Ahmed Kerwan; Ahmed Al-Jabir; Christos Iosifidis; Maliha Agha; Riaz Agha
Journal:  Int J Surg       Date:  2020-04-17       Impact factor: 6.071

Review 10.  Nosocomial Coronavirus Disease Outbreak Containment, Hanoi, Vietnam, March-April 2020.

Authors:  Cuong Duy; Vuong Minh Nong; An Van Ngo; Tra Thu Doan; Tuan Quang Nguyen; Phuong Thai Truong; Linus Olson; Mattias Larsson
Journal:  Emerg Infect Dis       Date:  2020-11-18       Impact factor: 6.883

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  21 in total

1.  Quality of life (QoL) among COVID-19 recovered healthcare workers in Bangladesh.

Authors:  Md Utba Rashid; Md Abdullah Saeed Khan; Koustuv Dalal; Soumik Kha Sagar; Mosharop Hossian; Sabrina Yesmin Barsha; Miah Md Akiful Haque; Mohammad Ali Hossain; Mohammad Hayatun Nabi; Mohammad Delwer Hossain Hawlader
Journal:  BMC Health Serv Res       Date:  2022-05-30       Impact factor: 2.908

Review 2.  Depression prevalence in Vietnam during the Covid-19 pandemic: A systematic review and meta-analysis.

Authors:  Quang Duc Tran; Thi Quynh Chi Vu; Ngoc Quang Phan
Journal:  Ethics Med Public Health       Date:  2022-06-03

3.  Quality of life among health care workers with and without prior COVID-19 infection in Bangladesh.

Authors:  Mahfil Ara Rahman; Soumik Kha Sagar; Koustuv Dalal; Sabrina Yesmin Barsha; Tasnim Ara; Md Abdullah Saeed Khan; Shuvajit Saha; Tanjina Sarmin; Mosharop Hossian; Mohammad Hayatun Nabi; Mohammad Lutfor Rahman; Mohammad Delwer Hossain Hawlader
Journal:  BMC Health Serv Res       Date:  2022-06-25       Impact factor: 2.908

4.  Burnout Toll on Empathy Would Mediate the Missing Professional Support in the COVID-19 Outbreak.

Authors:  Cristina Bredicean; Simona Claudia Tamasan; Diana Lungeanu; Catalina Giurgi-Oncu; Ileana-Pepita Stoica; Anca-Livia Panfil; Claudia Vasilian; Ica Secosan; Sorin Ursoniu; Raul Patrascu
Journal:  Risk Manag Healthc Policy       Date:  2021-05-31

5.  Effects of the COVID-19 pandemic on sexual functioning and activity: a systematic review and meta-analysis.

Authors:  Mojgan Masoudi; Raziyeh Maasoumi; Nicola Luigi Bragazzi
Journal:  BMC Public Health       Date:  2022-01-28       Impact factor: 4.135

Review 6.  Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression.

Authors:  Haitham A Jahrami; Omar A Alhaj; Ali M Humood; Ahmad F Alenezi; Feten Fekih-Romdhane; Maha M AlRasheed; Zahra Q Saif; Nicola Luigi Bragazzi; Seithikurippu R Pandi-Perumal; Ahmed S BaHammam; Michael V Vitiello
Journal:  Sleep Med Rev       Date:  2022-01-22       Impact factor: 11.401

7.  Burnout in Professional Psychotherapists: Relationships with Self-Compassion, Work-Life Balance, and Telepressure.

Authors:  Yasuhiro Kotera; Robert Maxwell-Jones; Ann-Marie Edwards; Natalie Knutton
Journal:  Int J Environ Res Public Health       Date:  2021-05-17       Impact factor: 3.390

8.  Sleep problems during COVID-19 pandemic and its' association to psychological distress: A systematic review and meta-analysis.

Authors:  Zainab Alimoradi; Anders Broström; Hector W H Tsang; Mark D Griffiths; Shahab Haghayegh; Maurice M Ohayon; Chung-Ying Lin; Amir H Pakpour
Journal:  EClinicalMedicine       Date:  2021-06-10

9.  Impact of COVID-19 on Anxiety, Stress, and Coping Styles in Nurses in Emergency Departments and Fever Clinics: A Cross-Sectional Survey.

Authors:  Shasha Cui; Yujun Jiang; Qianyu Shi; Lei Zhang; Dehua Kong; Meijuan Qian; Jing Chu
Journal:  Risk Manag Healthc Policy       Date:  2021-02-15

10.  Depression, Anxiety and Associated Factors among Frontline Hospital Healthcare Workers in the Fourth Wave of COVID-19: Empirical Findings from Vietnam.

Authors:  Quoc-Hung Doan; Nguyen-Ngoc Tran; Manh-Hung Than; Hoang-Thanh Nguyen; Van-San Bui; Dinh-Hung Nguyen; Hoang-Long Vo; Trong-Thien Do; Ngoc-Thach Pham; Tuan-Khanh Nguyen; Duc-Chinh Cao; Vu-Trung Nguyen; Thin-Mai T Tran; Ba-Hien Pham; Anh-Long Tran; Van-Thuong Nguyen; Van-Thanh Nguyen; Xuan-Thang Tran; Duc-Truong Lai; Quang-Hieu Vu; Satoko Otsu
Journal:  Trop Med Infect Dis       Date:  2021-12-23
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