Intended for healthcare professionals

CCBYNC Open access
Research

Occurrence, prevention, and management of the psychological effects of emerging virus outbreaks on healthcare workers: rapid review and meta-analysis

BMJ 2020; 369 doi: https://doi.org/10.1136/bmj.m1642 (Published 05 May 2020) Cite this as: BMJ 2020;369:m1642

Read our latest coverage of the coronavirus pandemic

Linked Editorial

Covid-19: adverse mental health outcomes for healthcare workers

  1. Steve Kisely, professor1234,
  2. Nicola Warren, consultant psychiatrist13,
  3. Laura McMahon, medical student3,
  4. Christine Dalais, research librarian3,
  5. Irene Henry, psychiatry registrar1,
  6. Dan Siskind, associate professor125
  1. 1Metro South Mental Health and Addiction Services, Brisbane, Australia
  2. 2Metro South Public Health Unit, Coopers Plains, Australia
  3. 3School of Clinical Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, Australia
  4. 4Departments of Psychiatry, Community Health and Epidemiology, Dalhousie University, Canada
  5. 5Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Australia
  1. Correspondence to: D Siskind PA-Southside Clinical Unit l School of Clinical Medicine, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia d.siskind{at}uq.edu.au
  • Accepted 23 April 2020

Abstract

Objective To examine the psychological effects on clinicians of working to manage novel viral outbreaks, and successful measures to manage stress and psychological distress.

Design Rapid review and meta-analysis.

Data sources Cochrane Central Register of Controlled Trials, PubMed/Medline, PsycInfo, Scopus, Web of Science, Embase, and Google Scholar, searched up to late March 2020.

Eligibility criteria for study selection Any study that described the psychological reactions of healthcare staff working with patients in an outbreak of any emerging virus in any clinical setting, irrespective of any comparison with other clinicians or the general population.

Results 59 papers met the inclusion criteria: 37 were of severe acute respiratory syndrome (SARS), eight of coronavirus disease 2019 (covid-19), seven of Middle East respiratory syndrome (MERS), three each of Ebola virus disease and influenza A virus subtype H1N1, and one of influenza A virus subtype H7N9. Of the 38 studies that compared psychological outcomes of healthcare workers in direct contact with affected patients, 25 contained data that could be combined in a pairwise meta-analysis comparing healthcare workers at high and low risk of exposure. Compared with lower risk controls, staff in contact with affected patients had greater levels of both acute or post-traumatic stress (odds ratio 1.71, 95% confidence interval 1.28 to 2.29) and psychological distress (1.74, 1.50 to 2.03), with similar results for continuous outcomes. These findings were the same as in the other studies not included in the meta-analysis. Risk factors for psychological distress included being younger, being more junior, being the parents of dependent children, or having an infected family member. Longer quarantine, lack of practical support, and stigma also contributed. Clear communication, access to adequate personal protection, adequate rest, and both practical and psychological support were associated with reduced morbidity.

Conclusions Effective interventions are available to help mitigate the psychological distress experienced by staff caring for patients in an emerging disease outbreak. These interventions were similar despite the wide range of settings and types of outbreaks covered in this review, and thus could be applicable to the current covid-19 outbreak.

Introduction

According to the World Health Organization, viral diseases represent a serious threat to public health, with novel viruses continuing to emerge. Several viral epidemics have occurred in the past 20 years, such as severe acute respiratory syndrome (SARS) in 2003, influenza caused by the virus subtype H1N1 in 2009, Middle East respiratory syndrome (MERS) in 2012, and Ebola virus disease in 2014.123 In 2019, a novel virus belonging to the coronavirus (CoV) family, SARS-CoV-2, emerged in Wuhan, the largest metropolitan area in China’s Hubei province.45 This was first reported to the WHO Country Office in China at the end of that year and is now known as covid-19. Although this is a new strain, related coronaviruses can cause illnesses ranging from the common cold to more severe diseases such as SARS and MERS.1

As an example, SARS-CoV in 2009 caused a large scale epidemic of SARS that began in China before spreading to 24 countries, with about 8000 people infected and 800 deaths. Aside from mainland China, the disease was concentrated in four areas: Taiwan, Hong Kong, Singapore, and Toronto, Canada.1 SARS-CoV was eventually contained by means of syndromic surveillance, prompt isolation of patients, strict enforcement of quarantine of all contacts, and, in some areas, community level quarantine. MERS-CoV emerged in Saudi Arabia and has infected about 2500 people and resulted in 800 deaths.1 It is still responsible for sporadic cases.

There have also been recent outbreaks of new influenza strains such as H1N1 (swine flu) that emerged in North America in 2009, and a novel virus of avian origin (H7N9) four years later in China.26 The largest outbreak of Ebola virus disease was in West Africa from 2013 to 2016, but the virus was first discovered in 1976 after an outbreak in Central Africa. Ebola virus is transmitted by bodily fluids.3

Each of these past outbreaks raised similar problems for both health services and staff in terms of the psychological impact of increased workload, the need for personal protection, and fears of possible infection of themselves and their families. This information might now provide guidance for healthcare workers in the latest coronavirus pandemic. We therefore undertook a rapid review of the psychological effects on clinicians working in past outbreaks and measures that successfully managed these effects. Rapid reviews target high quality and authoritative resources for time critical decision making or clinically urgent questions.7 Yet like a systematic review, rapid reviews identify the key concepts, theories, and resources in a specialty and survey the major research studies.7

Methods

Search strategy

We followed guidelines for the conduct of rapid reviews.7 One of the authors, who was a research librarian (CD), searched the Cochrane Central Register of Controlled Trials, Medline, Embase, CINAHL, PubMed, Web of Science, and PsycINFO from inception to late March 2020. No language restrictions were applied. The search terms are described in the supplementary file. Three of the authors (LM, IH, and NW), working in pairs, independently screened records, abstracts, and full text articles. Two authors extracted data (LM and NW). When consensus was lacking, a third reviewer was consulted (SK). The reference lists of selected retrieved papers were screened to identify additional studies that met inclusion criteria. To locate the most recent papers on covid-19, we also searched medRxiv, an online archive and distribution server, for complete but unpublished manuscripts (preprints) in the medical and health sciences.

Inclusion criteria

We included any study that described the psychological reactions of healthcare staff working with patients in an outbreak of any emerging virus in any clinical setting, irrespective of any comparison with other clinicians or the general population. These outbreaks were SARS, MERS, H1N1, H7N9, Ebola virus disease, and covid-19. Study designs eligible for inclusion were case reports, series, and qualitative, cross sectional, case-control, and cohort studies. We excluded studies that assessed the psychological responses of patients or healthcare workers who had contracted a viral illness.

All studies identified for inclusion were qualitative, cohort, or cross sectional studies. We assessed quality using the Joanna Briggs Institute tool for non-randomised studies.8 This covered the three broad areas of selection of the study groups in terms of case definition, representativeness, and source of controls; comparability of the groups, such as the use of matching or multivariate techniques; and measurement of exposure and outcomes in a valid and reliable way. The version for cross sectional studies has eight items and the one for longitudinal designs has 11, with a score of 7 and above an indicator of study quality. The qualitative version has 10 items.9

As recommended in rapid review guidelines,7 we also assessed the level of evidence for the quantitative studies using a modified framework from the Cochrane Musculoskeletal Group.10 Platinum and gold ratings are reserved for evidence from randomised controlled trials. Silver refers to non-randomised studies with controls, whereas bronze is for all other designs.10

When data were available for three or more studies, we used RevMan and Win-Pepi programs to combine the data in a meta-analysis.11 As we could not definitely exclude variation between studies, we used a random effects model for all the analyses and an I2 statistic estimate of 50% or more as an indicator of possible heterogeneity. When there were 10 or more studies for any outcome, we tested for publication bias with funnel plot asymmetry; low P values suggesting publication bias. Finally, we undertook a sensitivity analysis of the effect of restricting analyses to studies with a Joanna Briggs Institute score of 7 or higher, or of excluding preprint studies that had not undergone peer review.

Patient and public involvement

As this was a rapid review, patients and the public were not involved in the design, conduct, or reporting of this research.

Results

Overall, 10 013 citations of interest were found in the initial electronic searches of the Cochrane Central Register of Controlled Trials, PubMed/Medline, Embase, and PsycINFO, as well as a further 100 from other sources, including 91 from medRxiv. Of these, 282 full text papers were potentially relevant and assessed for eligibility (fig 1). The full text of nine studies could not be found.

Fig 1
Fig 1

Flow of studies through review

Fifty nine papers met the inclusion criteria. Of the included studies, seven were of MERs,12131415161718 three of Ebola virus disease,192021 eight of covid-19,2223242526272829 three of H1N1,303132 one of H7N96303132 (supplementary table 1), and the remaining 37 of SARS.333435363738394041424344454647484950515253545556575859606162636465666768697071 Thirteen came from mainland China, 10 each from Taiwan and Canada, nine from Hong Kong, five each from Singapore and South Korea, two from Saudi Arabia (MERS), and one each from Greece (H1N1), Mexico (H1N1), Japan (H1N1), the Netherlands (Ebola virus disease), Germany (Ebola virus disease), and Liberia (Ebola virus disease) (supplementary table 1). Three papers were in Mandarin,246162 one in Spanish,32 and the remainder in English. Forty seven were cross sectional studies, eight longitudinal designs, three qualitative papers, and the last a narrative report.22 Forty five studies were of psychosocial outcomes during a viral outbreak, and the remaining 14 presented findings for up to three years of follow-up (supplementary table 1).

Study quality was fair, with most studies (n=45) scoring 7 or higher (supplementary table 1). The most common problem affecting study quality was failure to identify and deal with confounding factors in the cross sectional (table 1) and cohort (table 2) designs. In the case of the three qualitative papers, study quality was affected by failure to locate the researcher culturally or theoretically,8 or failure to acknowledge the influence of the researcher on the research. Similarly, 38 studies were rated silver for quantitative evidence and 17 as bronze. It was not possible to assign Joanna Briggs Institute scores to one study as it was a brief narrative description of the experience of dealing with covid-19.22

Table 1

Joanna Briggs Institute (JBI) scores for cross sectional studies

View this table:
Table 2

Joanna Briggs Institute (JBI) scores for longitudinal studies

View this table:

Psychosocial outcomes

A wide range of tools were used. The most common standardised instrument to measure symptoms of stress was the impact of event scale-revised (IES-R). For psychological distress, the Centre for Epidemiologic Studies-depression scale (CES-D) and the general health questionnaire (GHQ), or its Chinese version (CHQ), were used most often (supplementary table 1). Other common tools included the Maslach burnout inventory and the medical outcome study short-form 36 Survey (MOS SF-36) (supplementary table 1).

Thirty eight studies compared psychological outcomes between healthcare workers who were in direct contact with affected patients and those who had little or no contact.614161718212325262728313233343637383941424448495354555658596062646667686970 In some cases, this was with clinical staff and in others with administrative staff. In one study the comparison was with the community.

Of these 38 studies, 25 contained data that could be combined in a pairwise meta-analysis. Five were of covid-19, three of MERS, one of Ebola virus disease, and the remainder of SARS (figs 2 and 3). Twenty three of the 25 studies scored 7 or higher for study quality on the Joanna Briggs Institute tool, with levels of evidence rated as silver. Staff in contact with patients had higher levels of both acute or post-traumatic stress and psychological distress (figs 2 and 3). In all comparisons of dichotomous data, the I2 statistic was less than 50% (fig 2), but comparisons of continuous data did show evidence of heterogeneity (fig 3). Sensitivity analyses excluding lower quality studies or studies that were published as preprints did not affect the overall results.

Fig 2
Fig 2

Comparison of dichotomous outcomes between low and high risk exposure groups. IV=inverse variance

Fig 3
Fig 3

Comparison of continuous scores between low and high risk exposure groups. SMD=standardised mean difference; IV=inverse variance

In two of the four outcomes it was possible to test for publication bias with funnel plots: psychological distress as a dichotomous variable and acute or post-traumatic stress as a continuous variable. Egger’s regression asymmetry test was non-significant for psychological distress (1.18, 90% confidence interval 0.33 to 2.03; P=0.09) indicating the possible absence of publication bias. Similar results were found for Egger’s regression asymmetry test in the case of acute or post-traumatic stress (2.07, 90% confidence interval 0.23 to 3.91; P=0.15)

Higher psychosocial morbidity was also reported in the other studies that were not included in the meta-analysis, with contact being associated with greater burnout, acute stress, and psychological stress (supplementary table 1). There were only three exceptions. One was a study of staff in a regional hospital in Singapore that was not the designated hospital for SARS, with the result that patients were rapidly transferred elsewhere thereby reducing contact.34 In a study from Hong Kong, both healthcare workers and community controls had high scores during the SARS outbreak in 2003 that were significantly higher than population norms.37 A similar pattern was found in the third study where staff, irrespective of contact with patients affected by SARS, had higher psychological morbidity than the general population.33

Studies without controls also showed high rates of psychological distress and disorders in those who cared for patients with SARS or MERS (supplementary table 1). Increased levels of stress and psychological distress were evident both during and after the outbreak (supplementary table 1), persisting up to three years later in one study.59

Boxes 1 to 3 present our findings on predisposing (box 1) and protective factors (box 2) for psychological outcomes, as well as interventions to mitigate these outcomes (box 3).

Box 1

Factors that increase risk of adverse psychological outcomes

Individual factors

Service factors

  • Perceived lack of organisational support123847485566

  • Perceived lack of adequacy of training48

  • Lack of confidence in infection control37

  • No compensation for staff by organisation1343

Societal factors

  • All studies cited in box are high quality apart from references 13, 14, 26, 30, 39-41, 54, and 52.

  • *Two studies reported a higher risk for doctors3446 and 10 reported a higher risk for nurses.6233041505557646566

  • †Seven studies reported higher risk for women61623262936 and one reported higher risk for men.14

  • ‡Five studies reported higher psychological distress among younger people3250555969 and two reported higher psychological distress in older people.2859

RETURN TO TEXT
Box 2

Factors that decrease risk of adverse psychological outcomes

Individual factors

  • Frequent short breaks from clinical duties40

  • Adequate time off work32334360

  • Greater experience through years worked364266

  • Working in an administrative or managerial role4150

  • Self-perception of being adequately trained and supported3748

  • Faith in precautionary measures35405052

  • Supportive peers1217193439435267

  • Family support173552

Service factors

  • Positive feedback to staff38

  • Staff faith in service’s infection control procedures13434750

  • Provision of protective gear13172941435255586667

  • Effective staff training in preparation for outbreaks4348

  • Staff support protocols3471

  • Clear communication with staff31345255

  • No infection among staff after start of strict protective measures13

  • Infected colleagues getting better13

  • Access to tailored psychological interventions based on needs of individual staff3543556065

Societal factors

  • A general drop in disease transmission13

  • All studies cited in box are high quality apart from references 13, 40, 41, 45, 49, 52, and 54.

RETURN TO TEXT
Box 3

Recommendations to deal with psychological problems in healthcare workers in novel outbreaks

Individual factors

  • Staff “buddy” system to support personal precautionary measures40

  • Encouragement among peers43

  • Sufficient rest and time off3543

  • Opportunities for reflection on the effects of stress5666

  • Increased support from family and friends1617

Service factors

  • Communication and training

  • Clear communication with staff12303334385666

  • Training and education around infectious diseases161825263537394243

  • Infection control

  • Clear direction and enforcement of infection control procedures1323343540414367

  • Screening stations to direct patients to relevant infection treatment clinics56

  • Sufficient supplies of adequate protective equipment12131723253541435667

  • Redesigning nursing care procedures that pose high risks for spread of infections3467

  • Improving safety such as a better ventilation system or constructing or negative pressure rooms to isolate patients3467

  • Reducing the density of patients on wards3467

  • Psychological

  • Recognition of staff efforts13

  • Training to deal with identification of and responses to psychological problems2228

  • Minimising time in quarantine223338

  • Access to psychological interventions1621222326293335384355606265

  • Workload

  • Appropriate work shifts and regular breaks12134043

  • Avoidance of compulsory assignment to caring for patients with coronavirus3555

  • Rearranging hospital infrastructure, such as redeployment of wards and human resources3467

  • Availability of hospital security to help deal with uncooperative patients22

  • Personal support

  • Guaranteed food and daily living supplies132243

  • Alternative accommodation for staff who are concerned about infecting their families223367

  • Video facilities for staff to keep in contact with families and alleviate their concerns22

Societal factors

  • Attention to media portrayal of healthcare workers66

  • Minimisation of stigma and discrimination154041505166

  • All studies cited in box are high quality apart from references 13, 26, 30, 39-41, 45, and 52

RETURN TO TEXT

Predisposing factors

In terms of sociodemographic characteristics, staff who were women,61623262936 younger,3250555969 or parents of dependent children4166 were more vulnerable to psychological distress. Linked to this was social isolation,346670 particularly if staff were exposed to prolonged quarantine,143338596372 and the fear of infecting their family or having an infected family member.252959 Staff with self-reported pre-existing psychological294245464853546669 or physical29405567 ill health were also more at risk, as were those with a higher fear of SARS.58

Aside from close contact with affected patients, work related risk factors included being less experienced,6183642 in part time employment,50 or in increased contact with affected patients.61416171823252631333638394144474849535556585960626364666770 Within the clinical group, nurses were generally more at risk than doctors,6233041505557646566 apart from two studies that reported the opposite3446 (box 3). Staff also expressed frustration about the effect of precautionary measures on their ability to do their jobs.5064 Practical support from the employer, however, was also key; such as the provision of appropriate work wear.3172941435255586667 For example, one study reported that staff in one hospital were not allowed to wear theatre “greens” while on duty because of fears about theft and were told to wear their own clothes.66 Many resorted to changing in their garage on returning home out of fear of infecting their family.

Wider service and societal factors included inadequate staff training,48 organisational support,123847485566 and compensation,1343 as well as societal stigma against healthcare workers.154041505166 Findings were generally similar in both low and high quality studies.

Protective factors

Staff who were older or who had greater clinical experience, experienced less stress. The exceptions were in two studies of staff caring for patients with covid-19, when older age was a risk factor for psychological symptoms.2859 Frequent short breaks from clinical duties,40 adequate time off work,32334360 family support,173552 a perception of being adequately trained,374348 a supportive work environment,1217193439435267 clear communication with staff,31345255 and faith in precautionary measures35405052 were also protective. Having access to psychological interventions3543556065 and the development of staff support protocols3471 were noted to be protective. Although nurses might be more vulnerable to psychological distress than other healthcare workers, they were more likely to adhere to infection control procedures.64 Many studies highlighted access to adequate personal protection equipment (PPE).13172941435255586667 Lastly, seeing infected colleagues getting better,13 as well as a general drop in disease transmission,13 improved psychological outcomes. Findings were generally similar in both low and high quality studies.

Helpful strategies

Employers can implement several practical steps to minimise the burden on clinical staff, and recommendations were similar regardless of study quality. The most consistent findings were the need for clear communication,12303334385666 providing training and education around infectious diseases,161825263537394243 enforcement of infection control procedures,1323343540414367 adequate supplies of protective equipment,12131723253541435667 and access to psychological interventions.1621222326293335384355606265 These should be supplemented by simple changes to practice, such as screening stations to direct patients to relevant infection treatment clinics,56 redesigning procedures that pose high risks for spread of infections,3467 and reducing the density of patients on wards.3467

Supervisors need to consider staff based factors when allocating duties, particularly if staff are redeployed to meet increasing clinical demand. When possible, such redeployment should be voluntary.3555 In addition, staff caring for affected patients should be rostered to appropriate work shifts with regular breaks.124043 During breaks, staff should be provided with food and other daily living supplies,132243 with the possibility of video contact with families to alleviate concerns.22 Some staff might require alternative accommodation to reduce the risks of infecting their families.223367 On a societal level, stigma and discrimination against healthcare workers must be tackled.154041505166

Two studies, one of SARS and one of MERS, asked staff to rate the utility of interventions on a 4 point scale (0=not effective, 1=mildly effective, 2=moderately effective, 3=very effective).1343 Support from colleagues, sufficient time off, adequate protective equipment, stringent infection control, and patient improvement were common to both settings. A study of staff caring for patients with MERS found that adequate hospital resources were associated with reduced burnout, as was support from the family, and this was reflected in a study of SARS, where organisational support, adequate resources, and time in quarantine predicted psychological outcomes.47

One (uncontrolled) study evaluated the effect of a SARS prevention programme in Taiwan’s largest hospital for the treatment of the disease.35 This incorporated many of the mentioned recommendations and consisted of intensive in-service training covering basic knowledge of protection and patient care, the removal and disinfection of P100 masks, the procedures for entering isolation wards, and hospital control of SARS infection. Shifts were limited to eight hours to avoid fatigue and the hospital had comprehensive PPE, including scrub suits, isolating dresses, surgical caps, sterilised gloves, foot wraps, N95 masks, surgical masks, P100 masks, and safety glasses. Both patients and staff had access to a multidisciplinary mental health team. Ratings of depression and anxiety showed statistically significant improvements in the two to four weeks after introduction of the interventions.

Discussion

This review has highlighted the importance of considering the mental health of healthcare workers who are caring for patients during a viral outbreak. Although psychological distress is to be expected in situations where staff are under pressure to look after a large number of potentially infectious patients, employers can help to mitigate this by immediate implementation of several effective interventions. And despite the wide range of settings and types of viral outbreaks, these interventions are similar and thus highly applicable to the current covid-19 outbreak. Broadly the interventions concern communication, access to adequate personal protective equipment (PPE), adequate rest, and both practical and psychological support.

Policy implications

The World Health Organization has recently released resources that give specific guidance on mental health and psychosocial considerations during the covid-19 outbreak, including psychological first aid (PFA) for frontline workers.7273 Psychological first aid includes the assessment of needs and concerns; practical care and support; dealing with basic needs (for example, food and water, information); empathic listening; access to information, services, and social supports; and protection from further harm.74 By contrast, psychological debriefing focusing on traumatic experiences is not usually helpful and could interfere with the natural recovery process.75

Care of both the patients with covid-19 and their healthcare workers extends beyond their immediate needs to also tackling the discrimination and stigma that was identified in many of the studies. WHO has produced guidance for opinion makers and the media on how to describe the outbreak. For example, the illness should be described by its official name (covid-19), which was deliberately chosen to avoid stigmatisation, rather than by reference to specific locations or ethnicity.72 WHO also recommends highlighting the effectiveness of preventive measures rather than focusing on individual behaviour and presumed responsibility for having or spreading covid-19. In addition, featuring people who have recovered, or healthcare workers who supported them through recovery, can emphasise that most people recover from covid-19.

Strengths and limitations of this study

Strengths of this study are consideration of a range of emerging viral illnesses worldwide, including early experience with covid-19, and a search that included low and middle income countries that are at equivalent potential risk and where solutions from North America or East Asia might be less applicable. We combined the relevant data in a meta-analysis, and collected data on the primary, secondary, and tertiary prevention of psychological morbidity in healthcare workers. Our findings on the psychological effects on clinicians are the same as those in an earlier systematic review without a meta-analysis, which was restricted to the SARS outbreak in Canada, Hong Kong, Singapore, Taiwan, and mainland China.76

Our study has several limitations. Despite our broad search, we only identified one study from a low to middle income country.20 In addition, we were unable to locate the full text of nine studies that might have been relevant. Only three studies undertook evaluations of interventions. One found that a hospital based SARS prevention programme in Taiwan led to improved scores on anxiety, depression, and sleep quality scales,35 whereas two used the same self-report scale to assess participants’ perceived usefulness of measures to reduce stress.1343 This finding was reflected in another systematic review, which only found three studies that evaluated interventions to improve the resilience of clinicians working in a viral outbreak, one of which was in preparation for a potential influenza pandemic.77 The third study in that review was the before and after evaluation of the effect of a SARS prevention programme on anxiety and depression during the outbreak in Taiwan that was included in our review.35

Study quality was only fair, with 45 out of the 59 studies scoring 7 or higher on the Joanna Briggs Institute tool. In addition, we were only able to meta-analyse data from 25 of the studies, although it is important to note that all but two of these were good quality studies, and all were rated silver on quality of evidence. This is the highest possible rating for a non-randomised study.10 Results for the two continuous outcomes showed high heterogeneity, which is why we have emphasised the dichotomous results where the I2 score was low. Finally, we were only able to test for publication bias in the two outcomes that had 10 or more studies.

Conclusions

Papers of previous emerging virus outbreaks offer important insights that might be relevant for the present covid-19 outbreak, including strategies that could be easily employed to minimise the psychological distress of healthcare workers. Further research is required into the effectiveness of these interventions, particularly during the covid-19 pandemic.

What is already known on this topic

  • In the past 20 years, viral epidemics such as severe acute respiratory syndrome (2003), H1N1 influenza (2009), Middle East respiratory syndrome (2012), and Ebola virus disease (2014), and the current covid-19 pandemic have raised similar problems for health services and staff about the psychological impact of increased workload, need for personal protection, and fears of infection for themselves and their families

  • Risk and protective factors for healthcare worker’s psychological wellbeing need to be collated, and recommendations outlined for improving the psychological wellbeing of healthcare workers during the current covid-19 pandemic

What this study adds

  • Compared with lower risk controls, staff in contact with affected patients had greater levels of both acute or post-traumatic stress and psychological distress

  • Risk factors for psychological distress included being younger, more junior, parents of dependent children, and in quarantine, having an infected family member, lack of practical support, and stigma

  • Clear communication, access to adequate personal protection, adequate rest, and both practical and psychological support were associated with reduced morbidity

Footnotes

  • Contributors: SK conceptualised the project with input from DS. CD devised the search with support from DS. LM, IH, and NW conducted the search. All authors were involved with data extraction and validation. SK conducted the data analysis with support from DS. SK and DS interpreted the data with support from NW and LM. SK wrote the first draft of the manuscript. All authors were involved in editing and approving the manuscript. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. SK and DS act as guarantors.

  • Funding: No funding.

  • Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

  • Ethical approval: Not required.

  • Data sharing: No additional data available.

  • Dissemination to participants and related patient and public communities: The authors intend to disseminate this research through social media, press releases to mainstream media, media interviews, and direct dissemination to hospital and health service directors in relevant jurisdictions.

  • The lead authors (SK and DS) affirm that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

http://creativecommons.org/licenses/by-nc/4.0/

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

References

View Abstract