| Literature DB >> 34802977 |
Tariq Noman M Alanazi1, Lisa McKenna2, Miranda Buck3, Rayan Jafnan Alharbi4.
Abstract
BACKGROUND: While literature on psychological consequences among frontline healthcare workers (HCWs) flourishes, understanding the psychological burden on this group is particularly crucial, as their exposure to COVID-19 makes them especially at high risk. We explored what is known about psychological effects of the COVID-19 pandemic on emergency HCWs.Entities:
Keywords: COVID-19; Emergency; Healthcare worker; Mental health; Psychological impact; Scoping review
Mesh:
Year: 2021 PMID: 34802977 PMCID: PMC8585598 DOI: 10.1016/j.auec.2021.10.002
Source DB: PubMed Journal: Australas Emerg Care ISSN: 2588-994X
Fig. 1PRISMA flow chart of the scoping review.
General study characteristics.
| Author, year, country of origin | Study aim | Study design | Participants | Key findings | Limitations | Quality appraisal |
|---|---|---|---|---|---|---|
| Altinbilek et al. (2021) | To investigate the stress and anxiety of healthcare workers due to COVID-19 | Prospective multi-centre survey in two hospitals | 205 ED healthcare workers | Physicians and nurses had higher anxiety and stress scores than other staff, and scores of nurses were significantly higher than physicians ( | Survey was conducted online for only one week with no evidence of reminder. | 10/12 |
| An et al. (2020) | To examine the prevalence of depressive symptoms (depression hereafter) and their correlates and association between depression and quality of life | National, cross-sectional online survey | 1103 frontline ED nurses | Overall prevalence of depression in nurses was 43.61% (95% CI = 40.68–46.54%). Multiple logistic regression analysis revealed that working in tertiary hospitals (OR = 1.647, | Some variables associated with depression, such as social support, collegial relationship, health status and pre-existing psychiatric disorders, were not examined. Because of the cross-sectional study design, causality between depression and other variables could not be examined. | 8/8 |
| More than 90% of participants were female nurses, which may have biased the findings. | ||||||
| Araç and Dönmezdil (2020) Turkey | To examine psychiatric disorders such as anxiety, depression and sleep disorders among healthcare professionals working in an emergency department and a COVID-19 clinic | Cross-sectional survey | 198 healthcare professionals: 100 in ED and 98 in a COVID-19 clinic | Perceived stress levels and PSQI sub-scores were found to be significantly higher among volunteers working in the emergency department than among those in other departments. The risk of development of anxiety among women was 16.6 times higher than among men. | The study was conducted at a single academic medical centre at one point in time and was limited to a relatively small sample size and low response rate. The authors also identified there were limitations of the tests used in the study. | 8/8 |
| Gender (OR = 16.631, | ||||||
| Baumann et al. (2021) USA | To provide a longitudinal assessment of anxiety levels and work and home concerns of U.S. emergency physicians during the COVID-19 pandemic | Longitudinal, cross-sectional email survey | 262 physicians | In examining the relationship between demographics, living situations, and institution location on having a PC-PTSD-5 score ≥ 3, only female sex was associated with a PC-PTSD-5 score ≥ 3 (adjusted OR = 2.48, 95% CI = 1.28–4.79). | The researchers reported a low response rate (61.5%) and no sample size calculation was evident. | 8/8 |
| There were different phases of the pandemic at various sites during the study period so responses at the time of reporting may vary. | ||||||
| A lack of baseline stress, burnout and PTSD measures from before the pandemic is problematic. | ||||||
| The authors noted a discrepancy between median burnout stress scores and PC-PTSD-5 screener ≥ 3 scores. | ||||||
| Caliskan and Dost (2020) Turkey | To evaluate emergency physicians’ levels of depression and anxiety in dealing with the COVID-19 pandemic | Descriptive, cross-sectional study using an online questionnaire | 290 emergency physicians | According to the physicians’ HADS scores, depression was detected in 180 participants (62%) while anxiety was detected in 103 (35.5%), with median depression and anxiety scores found to be 8 (0–21) and 7 (0–21), respectively. | The data and relevant analyses presented were derived from a cross-sectional study design. Thus, it was difficult to make causal inferences. Secondly, the authors used a web-based survey method to avoid bias, necessitating inclusion of volunteer participants; therefore, the possibility of selection bias should be considered. | 7/8 |
| Cui et al. (2020) China | To identify the impact of COVID-19 on the psychology of Chinese nurses in emergency departments and fever clinics and to identify associated factors | Online cross-sectional study | 453 nurses in ED and fever clinics | Fear of infecting family members was the most influential and predictive of anxiety ( | The method of snowball sampling may reduce generalisability of the results. Secondly, the data’s cross-sectional nature constrained making causal links among anxiety, stress, and coping tendency. Finally, the survey relied only on self-reported questionnaires, which may reduce data collection objectivity. | 7/8 |
| de Wit et al. (2020) Canada | To report burnout time trends and describe psychological effects of working as a Canadian emergency physician during the first weeks of the coronavirus disease 2019 (COVID-19) pandemic | Mixed-methods study (both quantitative and qualitative) | 468 physicians | Being tested for COVID-19 (OR = 11.5, 95% CI = 3.1–42.5) and the number of shifts worked (OR = 1.3, 95% CI = 1.1–1.5 per additional shift) were associated with high emotional exhaustion. Having been tested for COVID-19 (OR = 4.3, 95% CI = 1.1–17.8) was also associated with high depersonalisation. | The authors identified possible reasons why the study did not establish association between burnout and progression of time during the first weeks of the pandemic including: | 7/10 & 8/8 |
| (1) psychological distress was associated with high levels of exposure to traumatic events, which may explain the lack of worsening burnout levels over time during the pandemic where the cohort possibly did not experience rigorous numbers of sick patients seen in other parts of the world. | ||||||
| (2) mental health effects of the pandemic, particularly burnout, may have been measured too soon after the start of the pandemic. | ||||||
| Elhadi et al. (2021) Libya | To examine prevalence of anxiety, depression, and burnout among frontline emergency physicians of the COVID-19 pandemic | Cross-sectional survey | 154 physicians | Comparison between groups of physicians experiencing anxiety (HADS anxiety ≥ 11) and depression (HADS depression ≥ 11) demonstrated the following elements to be statistically significant: for anxiety, only age range, working hours per week, and transport issues were associated with a higher prevalence of anxiety ( | Firstly, the study focused only on one country, where several additional and unique factors may have contributed to high levels of mental distress. These aspects may, in turn, have aggravated COVID-19 effects. Furthermore, interviewer bias may be present, as some respondents may have opted to hide or alter their responses out of a fear of stigmatisation, despite the anonymous nature of the survey. Additionally, due to the cross-sectional study design, lower causation and linkage ability may be apparent. | 7/8 |
| Fitzpatrick et al. (2020) USA | To determine the effect that the COVID-19 pandemic had on the wellness of emergency physicians | Prospective survey | 55 physicians | During the pandemic, emergency physicians felt less in control ( | The sample size (n = 55) was relatively small. The population originated from a single hospital network, was a convenience sample, and was limited by non-response bias. Survey questions were derived from a previously validated study, but the specific question that subjects answered might not have covered the broad range of physician wellness. The survey used physician self-report of feelings up to six months earlier, which introduced the potential for recall bias, as well as social-desirability bias. Even though statistical significance was found in several questions, there may not be clinical significance given how similar the medians and/or general distribution of scores were in some cases. | 7/8 |
| Havlioğlu and Demir (2020) Turkey | To determine anxiety levels of emergency service employees working during the COVID-19 pandemic | Descriptive, cross-sectional study | 95 emergency service employees | It was observed that women in comparison to men and doctors and nurses in comparison to other emergency employees experienced more anxiety ( | One limitation is that there was no sample size calculation made for the study. Also, the study was conducted in a single institution with small sample size which could impact the generalisability of the results. Some degree of response bias may have been present. | 6/8 |
| Ilczak et al. (2021) Poland | To assess predictors of stress that paramedics, nurses and doctors experience in the face of the COVID-19 pandemic | Online survey | 955 personnel (doctors, nurses, and paramedics) | The predictors of stress in the professional environment included fear of contracting COVID-19, decrease in the level of safety while conducting emergency medical procedures, and marginalisation of treatment for patients not suffering from COVID-19. Additional socio-demographic factors that increased stress among emergency medical personnel were being female and working in the nursing profession. | Use of an online survey may have impacted on response rate and generalisability of findings. There could be other factors predictive of stress aside from what were explored in the study such as the speed and availability of COVID-19 testing and other socio-demographic variables. | 6/8 |
| Jose et al. (2020) India | To assess the burnout and resilience among frontline nurses in the emergency department of a tertiary care center in North India during COVID-19 pandemic | Cross-sectional descriptive design | 120 nurses | The two metrics of burnout, emotional exhaustion and personal inefficacy had a significantly negative correlation with resilience among the frontline nurses in the emergency ( | The study included nurses working only in the emergency department, while nurses working in other non-COVID areas also may face burnout in varying degrees. Other healthcare providers working in an emergency who are also potential for burnout were not included in our study. Hence, the generalisability of the present study may be limited to only nurses working in the emergency departments. | 7/8 |
| Kelker et al. (2020) USA | To assess the well-being, resilience, burnout, and wellness factors and needs of EM physicians and advanced practice providers (APPs) during the initial phase of the COVID-19 pandemic | Longitudinal, descriptive, prospective cohort survey study | 213 EM physicians and APPs | Concern for personal safety decreased from 85% to 61% ( | The study used an online survey which may subject to susceptible to response biases (i.e., self-selection bias, nonresponse bias, fatigue bias). The response rates ranged from 31% to 53% over four weeks and may impact generalisability of results. Other limitations include: (1) the authors could not assess individual-level change over time due to anonymous data collection; (2) there was lack of race/ethnicity demographic data; and (3) the WBI was used on a weekly basis though the instrument asks questions regarding symptoms “over the last month,” which may lack sensitivity to such degree of change. | 12/12 |
| Impact on basic self-care declined from 66% to 32% ( | ||||||
| Reported strain on relationships and feelings of isolation affected > 50% of respondents initially without significant change ( | ||||||
| Women were nearly twice as likely to report feelings of isolation as men (OR=1.95; 95% CI=1.82–5.88). | ||||||
| Working part-time carried twice the risk of burnout (OR=2.45; 95% CI=1.10–5.47). Baseline resilience was normal to high. Provider well-being improved over the four-weeks (30–14%; | ||||||
| Li et al. (2020) China | To examine the incidence of mental health symptoms and predictors of Post-Traumatic Stress Disorders (PTSD) symptoms among reserve medics working in Wuhan, the capital city of Hubei Province | Empirical, cross-sectional study | 225 reserve medics dispatched to Wuhan | PTSD symptoms and its subscales were significantly associated with age, collegial relationship and mental health status during medics’ service in Wuhan. | Firstly, recall bias may have influenced participants' reported mental health condition while in Wuhan. It is also unclear how long PTSD symptoms may persist or develop in the future. Secondly, study participants were not randomly selected, and findings were not generalisable to the larger population of reserve medics during the pandemic. Thirdly, although the authors surveyed the types of facilities where the healthcare workers were stationed, they did not measure level of exposure, a factor for developing PTSD symptoms. | 8/8 |
| Mental health counselling was significantly associated with PTSD symptoms (OR = 6.30, 95% CI = 2.95–13.46, | ||||||
| Mental health counselling was a significant factor of avoidance (OR = 4.88, 95% CI = 1.88–12.71, | ||||||
| Mental health counselling was a significantly factor of intrusion (OR = 5.4, 95% CI = 2.44–11.93, | ||||||
| Both depression (OR = 3.4, 95% CI = 1.43–8.1, | ||||||
| Munawar and Choudhry (2021) Pakistan | To examine the psychological impact of COVID-19 on emergency HCWs and understand how they dealt with COVID-19 pandemic, their stress coping strategies or protective factors, and challenges while dealing with COVID-19 patients | Qualitative study | 15 frontline emergency HCWs | Findings highlighted a major theme of stress coping, including, limiting media exposure, limited sharing of COVID-19 duty details, religious coping, just another emergency approach, and altruism. A second major theme of challenges included, psychological response and noncompliance of public/denial by religious scholar. | The study was carried out when the pandemic was ongoing and the researchers describe being conscious of not distracting participants from their essential work. Hence, interviews were often paused or interrupted because participants had to attend other emergency calls and duties. Furthermore, the researchers report being conscious of social/physical distancing guidelines, hence, focus group discussions could not be conducted. This study did not report findings of HCWs from private facilities who may have had different experiences of the pandemic and different coping mechanisms. | 10/10 |
| Nie et al. (2020) China | To explore the prevalence and associated factors of psychological distress among nurses working in the frontline during COVID-19 outbreak | Cross-sectional study | 196 ED nurses | Multiple logistic analyses showed that perceptions of having more social support (OR = 0.960, 95% CI = 0.936–0.984) and effective precautionary measures (OR = 0.469, 95% CI = 0.235–0.933) were negatively related to psychological distress. However, working in ED (OR = 3.378, 95% CI = 1.404–8.130), being treated differently (OR = 2.045, 95% CI = 1.072–3.891), concern for family (OR = 2.171, 95% CI = 1.294–3.643), COVID-19-related impact of event (OR = 1.084, 95% CI = 1.052–1.117), and negative coping style (OR = 1.587, 95% CI = 0.712–3.538) were positively correlated to psychological distress. | There were relatively small sample size and low response rates (30–40%). Secondly, the study was based on a self-administered questionnaire so potential for response bias. | 8/8 |
| Data were collected in the early stage of the outbreak so may underestimate prevalence of psychological distress as the impact of the outbreak might be long term, changeable and continuous, on psychological status among nurses at the frontline. Finally, the cross-sectional design limits interpretation of causal relationships between psychological distress and risk factors. | ||||||
| Rodriguez et al. (2020) USA | To assess anxiety and burnout levels, home life changes, and measures to relieve stress of U.S. academic emergency medicine (EM) physicians during the COVID-19 pandemic acceleration phase | Cross-sectional e-mail survey | 426 EM physicians | On a scale of 1–7 (1 = not at all, 4 = somewhat, and 7 = extremely), the median (interquartile range) reported effect of the pandemic on both work and home stress levels was 5 (4–6). Reported levels of emotional exhaustion/burnout increased from a pre-pandemic median (IQR) of 3 (2–4) since the pandemic started a to median of 4 (3–6), with a difference in medians of 1.8 (95% confidence interval = 1.7–1.9). Most physicians (90.8%) reported changing their behaviour toward family and friends, especially by decreasing signs of affection (76.8%). | The primary limitation is the moderate response rate of 57%, which was attributed to using a general e-mail and clinical work overload during the busy early stage of the pandemic and inability to provide gift cards or other incentives. | 7/8 |
| In terms of spectrum effects, the survey was limited to providers at academic institutions and therefore may not reflect experiences of non-academic EM physicians. | ||||||
| Most of the participant sites were in cities in California that had not seen large patient surges as had been seen in other areas of the country at the time of the study. | ||||||
| Song et al. (2020) China | To assess the mental health of emergency department medical staff during the epidemic in China | Cross-sectional design | 14,825 doctors and nurses | Men were more likely to have depressive symptoms and PTSD than women (OR = 1.12, 95% CI = 1.01–1.24). Those who were middle aged, worked for fewer years, had longer daily work time, and had lower levels of social support were at a higher risk of developing depressive symptoms and PTSD. Working in the Hubei province (OR = 1.70, 95% CI = 1.26–2.29) was associated with a higher risk of depressive symptoms, while those working in the Hubei province but residing in another province had a lower risk of depressive symptoms and PTSD. Being a nurse was associated with a higher risk of PTSD. | This study had a cross-sectional design and as the epidemic changed, the mental health of the medical staff may also change. Further research is needed to track the dynamic changes of medical staff’s mental health status. In addition, all participants in the current study are from the emergency department. Due to the diverse working environments and experience of medical staff in other departments, the generalisability of these results to other populations remains to be verified. | 8/8 |
| Vagni et al. (2020) Italy | To identify the direct and mediating effects of hardiness and coping strategies activated by emergency workers on stress and secondary trauma during the COVID-19 pandemic | Online survey questionnaire | 513 Red Cross volunteers | Hardiness and coping strategies, in particular, which stop unpleasant emotions and thoughts and problem-focused, emerged as mediators in reducing the predicted effect of stress on secondary trauma. The mediating effects of hardiness and coping strategies were found to reduce the effect of stress on arousal by 15% and the effect on avoidance by 25%. | This study has several limitations. The first concern is the sampling method, and the second is that the study involved participants from only one region of Northern Italy, Veneto. This region was among the most affected by COVID-19, and this could be a geographical limit, because in other regions of Italy, the pandemic situation was not as serious. The third limitation was the involvement of only a single emergency organisation, the Red Cross. | 7/8 |
| Vagni et al. (2020) Italy | To analyse the relationship of emergency stress and hardiness with burnout among emergency workers | Online survey questionnaire | 494 emergency volunteers | Hardiness showed an effect in reducing emergency stress levels except for inefficacy-decisional stress, emotional exhaustion ( | One limitation is that the research was conducted through an online survey. Another limitation is that this was the cross-sectional design used in the study, whereas a longitudinal study would allow for a better analysis of phenomena such as the development of symptoms of burnout. The other limitation is the use of a self-reported questionnaire and participants’ lack of knowledge about the presence of previous psychological problems. Finally, the study lacks comparison with other emergency workers involved throughout the national territory and belonging to other organisations, limiting the generalisation of the results. | 7/8 |
| Zakaria et al. (2021) Malaysia | To identify the prevalence of burnout among emergency healthcare worker in this hospital and to identify the factors contributed to the burnout | Cross-sectional study | 216 HCWs | There was weak correlation ( | There is potential that non-responders might have been suffering from burnout, thus not being willing to participate. Hence, findings might not be an accurate representation. | 7/8 |
HADS = Hospital Anxiety and Depression Scale; PSQI = Pittsburgh Sleep Quality Index.
Specific characteristics.
| Author, year | Reported conditions | Measurement tool | Reported manifestations | Reported impact |
|---|---|---|---|---|
| Altinbilek et al. (2021) | Anxiety | Beck Anxiety Inventory | Concerned about being unable to find enough adequate PPE in the future | Higher anxiety and stress scores among physicians and nurses compared to other ED personnel, including security, staff working in patient transport, cleaning staff and patient data entry staff |
| Stress | Perceived Stress Scale | Anxious about getting support from management and salary payments | ||
| An et al. (2020) | Depression | Patient Health Questionnaire | Of the 481 ED nurses with reported depression, 305 (27.7%) reported mild, 95 (8.6%) reported moderate, 58 (5.3%) experienced moderate-to-severe, and 23 (2.1%) reported severe depression. | Nurses with depression had lower quality of life compared to their colleagues who were not depressed. |
| Quality of life | World Health Organization | |||
| Quality of Life Questionnaire-Brief Version | ||||
| Araç and Dönmezdil (2020) | Anxiety and depression | Hospital Anxiety Depression Scale (HADS) | Presence of severe anxiety and depression, and perceived stress levels and PSQI subscale scores were significantly higher among ED staff than those working in other departments. | Anxiety and depression scores were higher in the first encounters with COVID-19 patients than succeeding encounters. Anxiety was due to fear of infecting family members that could be prevented through precautions such as isolation. However, it should be remembered that loneliness and feelings of missing family members, consequent to isolation could increase the risk of depression. |
| Sleep quality | Pittsburgh Sleep Quality Index (PSQI) | |||
| Baumann et al. (2021) | COVID-19 patient exposure, availability of COVID-19 testing, levels of home and workplace anxiety/stress, changes in behaviours, and performance on a primary care posttraumatic stress disorder screen (PC-PTSD-5) | Researcher–developed instrument with 5 items validated from the PC-PTSD-5 scale | Median (IQR) work and home stress levels decreased over time from the initial survey 5 (4–6) versus 4 (4–5) at follow-up. Most concerns that were reassessed were less highly rated at this follow-up study. | While exposure to suspected COVID-19 patients was nearly universal, stress levels in emergency physicians decreased with time. |
| Caliskan and Dost (2020) | Depression and anxiety | Hospital Anxiety Depression Scale (HADS) | Depression was detected in 180 participants (62%) while anxiety was detected in 103 participants (35.5%), with the median depression and anxiety scores found to be 8 (0–21) and 7 (0–21), respectively | Psychological trauma manifested by reported depression and anxiety of emergency physicians was caused by providing care during the COVID-19 pandemic |
| Cui et al. (2020) | AnxietyStress | Self-Rating Anxiety Scale (SAS) | Among the participants, 281 (62.03%) reported no anxiety symptoms, 154 (34.00%) reported mild, 16 (3.53%) reported moderate, and two (0.44%) reported severe anxiety. There were 146 (32.23%) participants with scores greater than 25 in the PSS, suggesting excessive stress; 229 (50.55%) participants were more likely to respond positively to stress, while 224 (49.45%) were more likely to respond negatively.Participants who had the following characteristics had more mental health problems: female gender, fear of infection among family members, regretting being a nurse, less rest time, more night shifts, having children, lack of confidence in fighting transmission, not having emergency protection training, and negative professional attitude. | Participants reported presence of anxiety, stress, and stress coping tendency primarily due to fear of infecting their family members. |
| Coping tendency | Perceived Stress Scale (PSS) | |||
| Simplified Coping Style Questionnaire (SCSQ) | ||||
| de Wit et al. (2020) | Burnout | Emotional exhaustion and depersonalisation items, from the Maslach Burnout Inventory | The study did not find a time trend in burnout levels (P = 0.632 for emotional exhaustion and P = 0.155 for depersonalisation). | The impact of COVID-19 on the work environment and personal perceptions and fears about the impact on lifestyle affected physician well-being. Personal safety, academic and educational work, personal protective equipment, the workforce, patient volumes, work patterns, and work environment had an impact on physician well-being. A new financial reality and contrasting negative and positive experiences affected participants’ psychological health. |
| Emergency physician burnout levels remained stable during the initial 10 weeks of this pandemic | ||||
| Elhadi et al. (2021) | Depression and anxiety | Hospital Anxiety and Depression Scale (HADS) | With respect to the prevalence of anxiety and depression, the data based on the HADS indicated that ∼ 65.6% of subjects (n = 101) were experiencing anxiety (those who received a score ≥ 11), and about 73.4% of subjects (n = 113) were experiencing depressive symptoms (those who received a score ≥ 11). Findings demonstrated that 67.5% (n = 104) of subjects suffered from emotional exhaustion, while 48.1% (n = 74) experienced depersonalisation (both derived from scores of ≥ 10 out of 18 on the aMBI). However, for low personal accomplishment (PA), only 21.4% (n = 33) scored < 10 (indicating burnout for this category). About 46.1% (n = 71) of respondents had encountered at least one episode of verbal abuse, while 12.3% (n = 19) had experienced physical abuse. | The study demonstrated higher than expected levels of anxiety, depression, and burnout among 154 emergency doctors from Libya who worked during the COVID-19 pandemic. |
| Burnout | Abbreviated Maslach Burnout Inventory (aMBI) scale | |||
| Fitzpatrick et al. (2020) | Wellness | Wellness survey with 10 primary questions and 2 supplemental questions | Physicians felt less in control, felt decreased happiness while at work, had more trouble falling asleep, had an increased sense of dread when thinking of work needing to be done, felt more stress on days not at work, and were more concerned about their own health. | This study showed a statistically significant decrease in EP wellness during the COVID-19 pandemic when compared to the pre-pandemic period. |
| Havlioğlu and Demir (2020) | Anxiety | Beck Anxiety Inventory | Among the participants, 53.7% had mild, 28.4% had moderate and 17.9% had severe anxiety levels. | Anxiety levels of emergency healthcare employees who are were at in the front lines, were increasing. Among the participants, 82.1% stated that they encountered COVID-19-positive patients, 44.2% said they experienced suspected COVID-19%, and 96.8% stated they were afraid of carrying the COVID-19 virus home. |
| Ilczak et al. (2021) | Stress | Researcher-developed questionnaire with 18 questions | One aspect of professional life that, according to research, was felt particularly severely was occupational stress, as illustrated by Polish emergency medical personnel. | During the COVID-19 pandemic, stress among emergency medical personnel had increased considerably due to new factors that did not previously exist. |
| Jose et al. (2020) | Burnout | Maslach Burnout Inventory | The nurses in the emergency during pandemic experienced moderate-to-severe levels of burnout in emotional exhaustion (29.13 ± 10.30) and depersonalisation (12.90 ± 4.67) but mild-to-moderate level of burnout in reduced personal accomplishment (37.68 ± 5.17) and showed moderate to high levels of resilience (77.77 ± 12.41). | The fear of infection to self and family resulted in the frontline staff being more susceptible to anxiety and stress during the pandemic. Increased patient physical workloads led to severe burnout in the form of emotional exhaustion, depersonalisation, and reduced personal accomplishment. In general, the outbreak of an emerging disease contributed to a general atmosphere of fear that needed to be psychologically studied through comprehensive research activity to understand its possible negative impacts on individuals’ mental health and productivity, to mitigate such impacts on the HCWs, in particular, who are in the frontline of counteracting the disease. |
| Resilience | Connor-Davidson Resilience Scale | |||
| Kelker et al. (2020) | Wellness | Well Being Index | Frontline EM physicians and APPs advanced practice providers during the initial surge of the COVID-19 pandemic in Indiana found significant levels of stress, anxiety, fear, concerns about safety, and relationship strain, all of which improved but endured. Additionally, while providers were a resilient group, feelings of isolation and burnout persisted, but did not significantly worsen. | Despite being considered a resilient group, the majority experienced stress, anxiety, fear, and concerns about personal safety due to COVID19, with many at risk for burnout. |
| Burnout | Physician Work Life Study item | |||
| Resilience | Brief Resilience Scale | |||
| Li et al. (2020) | PTSD symptoms | Impact of Event Scale Revised (IES-R) | During their stay in Wuhan, the medics experienced high levels of depression (46.7%), anxiety (35.6%) and stress symptoms (16.0%). Upon returning home, the overall prevalence of clinically concerned PTSD symptoms was as high as 31.6%. | The reserve medics reported a high prevalence of depression, anxiety and stress as well as clinically concerned PTSD symptoms. |
| Anxiety and stress (Mental health status) | Depression Anxiety Stress Scales-21 (DASS-21) | |||
| Munawar and Choudhry (2021) | Psychological impact of COVID-19 on emergency HCWs | Semi-structured interviews | It was found that during the pandemic, media was mentioned to be a major source of exacerbating anxiety and stress levels of masses as authenticity of updates or news shared could not be ascertained. | The findings of thematic analysis revealed that participants practised and recommended various coping strategies to deal with stress and anxiety emerging from the COVID-19 pandemic. |
| Nie et al. (2020) | Psychological distress | General Health Questionnaire (GHQ-12) | A majority of nurses experienced psychological distress because of the COVID-19 outbreak. Most reported variable degrees of concern about their families or themselves being infected with COVID-19. | Nurses who were working in the ED were concerned for their families being infected with COVID-19, being treated differently, having been affected by COVID-19 and having negative coping style made them at high risk of being psychologically distressed. |
| Coping style | Simplified Coping Style Questionnaire (SCSQ) | |||
| Intrusive thoughts related to COVID-19 and consequent avoidance behaviour | Revised version of the Impact of Event Scale (IES-R) | |||
| Social support | Perceived Social Support Scale (PSSS) | |||
| Rodriguez et al. (2020) | Stress, perceptions and key elements in the following domains: numbers of suspected COVID-19 patients, availability of diagnostic testing, levels of home and workplace anxiety, severity of work burnout, identification of stressors, changes in home behaviours, and measures to decrease provider anxiety. | Researcher-developed tool | On the 1–7 scale, the median reported effect of the COVID-19 pandemic on work stress levels was 5 (IQR = 4–6) and on home stress levels was 5 (IQR = 4–6). | COVID-19 exposure during work had a major impact on home lives of physicians.The most commonly reported changes by friends and family were expressions of concern about the EM physician participants’ health, expressions of concern about their exposure to COVID-19 because of contact with the EM physician, and a reluctance of family members to be in close contact with the EM physician. |
| Reported levels of emotional exhaustion/burnout increased from a pre-pandemic median of 3 to since the pandemic started a median of 4 after the pandemic had started, with a difference in medians of 1.8. | ||||
| Most physicians (90.8%) reported changing their behaviour toward family and friends, especially by decreasing signs of affection (76.8%). | ||||
| Worries included: adequacy of personal protective equipment (PPE), ability to accurately diagnose COVID-19 cases quickly, well-being of co-workers who had been diagnosed with COVID-19, and that patients with unclear diagnoses were exposing others in the community | ||||
| Song et al. (2020) | PTSD | PTSD Checklist for DSM-5 (PCL-5) | The prevalence rates of depressive symptoms and post-traumatic stress disorder (PTSD) were 25.2% and 9.1%, respectively. | A considerable number of medical staff in the emergency department suffered from depressive symptoms and PTSD. |
| Depressive symptoms | Centre for Epidemiologic Studies Depression Scale (CES-D) | |||
| Social support | Perceived Social Support Scale (PSSS) | |||
| Vagni et al. (2020) | Psychological stress | Emergency Stress Questionnaire | Volunteers who had worked even a few hours a week to carry out emergency interventions seemed to have developed similar reactions of stress and secondary trauma, probably because they were exposed to a sense of helplessness and gravity, given the high number of patients and deaths from this pandemic in Italy. | High stress reactions, associated with manifestations of arousal, avoidance, and intrusion of secondary trauma, therefore, appear to be linked to the characteristics of the pandemic and not to possible factors of inexperience. |
| Secondary trauma | Secondary Traumatic Stress Scale—Italian Version | |||
| Hardiness | Dispositional Resilience Scale-15—Italian Version | |||
| Coping style | Coping Self-Efficacy Scale—Short Form | |||
| Vagni et al. (2020) | Psychological stress | Emergency Stress Questionnaire | The results of this study highlighted how emergency workers who worked with COVID-19 patients experienced high stress levels and burnout. | Lack of suitable and needed instructions to be able to intervene in a timely manner had a significant impact on stress levels. Correspondingly, stress levels had high positive associations with depersonalisation and emotional exhaustion components of burnout. Nonetheless, the study revealed that hardiness played a protective role in relation to experiencing high stress levels and the risk of developing burnout. |
| Burnout | Maslach Burnout Inventory–Human Services Survey, Italian version | |||
| Hardiness | Dispositional Resilience Scale-15—Italian Version | |||
| Stress factors | Original questionnaire or checklist on stressful factors | |||
| Zakaria et al. (2021) | Burnout | Burnout Questionnaire with 28 questions on behaviour, attitude, and job-related questions that evaluated burnout levels | 51.3% of respondents had burnout, consisting of 61.2% of nurses, 35.1% of doctors, and 29.6% of assistant medical officers. | Factors leading to burnout were frequent exposure to angry members of the public, job overload, lack of clear guidelines, and perceptions of being underpaid. |
| Emergency HCWs had a high rate of burnout, especially nurses and senior staff in comparison to juniors. They reported commonly exhibited fatigue, feeling tired, and suffered from frequent illness as part of their burnout symptoms. |