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. 2020 Sep 3;15(9):e0238217. doi: 10.1371/journal.pone.0238217

Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey

Luca A Morgantini 1,*, Ushasi Naha 1, Heng Wang 2, Simone Francavilla 1, Ömer Acar 1, Jose M Flores 1, Simone Crivellaro 1, Daniel Moreira 1, Michael Abern 1, Martin Eklund 3, Hari T Vigneswaran 1,3, Stevan M Weine 4,5
Editor: Michio Murakami6
PMCID: PMC7470306  PMID: 32881887

Abstract

Background

Healthcare professionals (HCPs) on the front lines against COVID-19 may face increased workload and stress. Understanding HCPs’ risk for burnout is critical to supporting HCPs and maintaining the quality of healthcare during the pandemic.

Methods

To assess exposure, perceptions, workload, and possible burnout of HCPs during the COVID-19 pandemic we conducted a cross-sectional survey. The main outcomes and measures were HCPs’ self-assessment of burnout, indicated by a single item measure of emotional exhaustion, and other experiences and attitudes associated with working during the COVID-19 pandemic.

Findings

A total of 2,707 HCPs from 60 countries participated in this study. Fifty-one percent of HCPs reported burnout. Burnout was associated with work impacting household activities (RR = 1·57, 95% CI = 1·39–1·78, P<0·001), feeling pushed beyond training (RR = 1·32, 95% CI = 1·20–1·47, P<0·001), exposure to COVID-19 patients (RR = 1·18, 95% CI = 1·05–1·32, P = 0·005), and making life prioritizing decisions (RR = 1·16, 95% CI = 1·02–1·31, P = 0·03). Adequate personal protective equipment (PPE) was protective against burnout (RR = 0·88, 95% CI = 0·79–0·97, P = 0·01). Burnout was higher in high-income countries (HICs) compared to low- and middle-income countries (LMICs) (RR = 1·18; 95% CI = 1·02–1·36, P = 0·018).

Interpretation

Burnout is present at higher than previously reported rates among HCPs working during the COVID-19 pandemic and is related to high workload, job stress, and time pressure, and limited organizational support. Current and future burnout among HCPs could be mitigated by actions from healthcare institutions and other governmental and non-governmental stakeholders aimed at potentially modifiable factors, including providing additional training, organizational support, and support for family, PPE, and mental health resources.

Introduction

More than 200 countries worldwide are impacted by the spread of the novel coronavirus (SARS-Cov-2), the pathogen responsible for the coronavirus disease 2019 (COVID-19). Their healthcare systems are frantically maximizing efforts to deploy resources in order to mitigate spread and reduce morbidity and mortality from COVID-19.

Large numbers of healthcare professionals (HCPs) on the frontlines face high adversity, workloads, and stress, making them vulnerable to burnout [1, 2]. Burnout, defined by emotional exhaustion, depersonalization, and personal accomplishment, is known to detract from optimal working capacities, and has been previously shown to be similarly prevalent among HCPs in HICs (High-Income Countries) and LMICs (Low-to-Middle-Income Countries) [36]. Burnout has been found to be driven by high job stress, high time pressure and workload, and poor organizational support. These factors are common between HICs and LMICs despite their differences in healthcare and socioeconomic structures [3].

Researchers have begun exploring the impact of the COVID-19 pandemic on HCPs’ mental health. Barello et al. assessed 376 Italian HCPs who interacted with COVID-19 infected patients for their reported burnout, psychosomatic symptoms and self-perceived general health, finding in their study population high emotional burnout, physical symptoms, and work-related pressure [7]. The Society of Critical Care Medicine surveyed 9492 intensive care unit clinicians in the U.S. and found that median self-reported stress, measured on a scale from 0 to 10, increased from 3 to 8 during the pandemic [8]. The principal stressors included concern for lack of personal protective equipment (PPE), and work impacting household activities and interactions [8]. Shanafelt et al. identified the necessity for HCPs to care for patients that required clinical skills beyond their training as an additional stressor, among others [9]. The pandemic has not affected all HCPs in the same manner, as there have been demonstrated differences based on occupation and patient population. Lai et al. demonstrated how HCPs in Wuhan, especially nurses and frontline workers, were experiencing the highest psychological burden in late January 2020 [1]. Zerbini et al. identified how German nurses working in COVID-19 wards reported worse burnout scores compared to their colleagues in regular wards, while physicians reported similar scores independently from their COVID-19 workload [10]. In contrast, Wu et al. reported in their study of 190 HCPs in Wuhan how individuals working in their usual ward reported a higher frequency of burnout and fear of being infected, when compared to their colleagues working with COVID-19 patients [11]. Differences in the perception of the pandemic, the local spread of the pandemic at the time of study, support structures, or definition of burnout that may explain these diametrically opposed results [12]. Because each study focused on HCPs working in a particular region or country, it is impossible to draw conclusions about the impact on HCPs globally.

The objective of this study was to understand the impact of COVID-19 on HCPs around the world working during the pandemic. This was the first intercontinental survey examining the perceptions of HCPs during the COVID-19 pandemic without restriction on geographic location or COVID-19 exposure. Given that the pandemic has not affected all nations in the same time frame, gathering opinions from HCPs worldwide within a single time range offers a unique snapshot of how the pandemic affects HCPs at that moment. Our aim was to describe current contributing factors associated with HCPs burnout during the pandemic and to provide data that will drive future research on mitigating burnout.

Methods

Human subjects research

The University of Illinois at Chicago (UIC) Institutional Review Board (IRB) determined on April 1st, 2020 that this study, with assigned protocol number 2020–0388, met the criteria for exemption as defined in the U.S. department of Health and Human Services Regulations for the Protection of Human Subjects [45 CFR 46. 104(d)]. Before initiating the survey, respondents were informed that their responses would be shared with the scientific community. Survey responses were recorded and stored without participant identifiers using the REDCap electronic data capture software hosted by UIC servers [13, 14]. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources.

Sample population and recruitment strategy

Inclusion criteria was restricted to HCPs. Platforms including Facebook, WhatsApp, and Twitter, as well as e-mail, were used for global recruitment and dissemination from April 6 to April 16, 2020. Potential study participants were approached via IRB-approved messages containing a link to the survey shared on the aforementioned social media. Study participants were also asked to share the link with their colleagues via personal networks.

Outcomes and measures

Demographic data collected from the survey participants was limited to the country of provenience and occupation. The survey contained 40 questions covering three major domains of HCPs experience (exposure, perception, and workload) that were validated by experts in infectious diseases, public health, occupational medicine, psychology, and clinical psychiatry. Elements of these domains were previously proposed as contributing toward HCP anxiety during the COVID-19 pandemic [15]. The main outcome, HCPs-perceived burnout in its core domain of emotional exhaustion, was assessed by a single item on a 7-point Likert scale (1: strongly disagree to 7: strongly agree) using the statement, “I am burned out from my work [16]. Only the core domain of emotional exhaustion was assessed as previous research has demonstrated that the depersonalization and personal accomplishment domains represented a Western concept not generalizable across different cultures [12].

The questionnaire was developed with a pilot group of 10 HCPs and 40 questions were included based on expert opinion (S1 Questionnaire) that were then translated into 18 languages by professional translators. The country of the respondents was categorized as high-income or low- and middle-income as defined by the World Bank classification system in order to reduce confounding factors such as differences in the number of COVID-19 cases (Fig 1), healthcare system, and socioeconomic structure [3, 17]. COVID-19 deaths and cases per 1 million population were obtained from a widely used web-based dashboard [18].

Fig 1. Total confirmed COVID-19 cases (A) and total confirmed COVID-19 deaths (B) per 1 million (M) population for the 4 countries with the highest response rates and for HICs (C) and LMICs (D).

Fig 1

Statistical analyses

A descriptive assessment was performed for each variable surveyed for all data, country by country, and according to the income level (high vs. low-middle). Covariates collected as ordinal variables were transformed into binary (S1 Table). For burnout, scores ≥ 5 were considered burned out [16]. Quasi-Poisson regression analysis was performed using the binary burnout outcome to compare factors associated with low and average burnout against high emotional exhaustion burnout [19]. Relative risk (RR) was reported with nominal 95% confidence intervals and 2-sided P values. Only the participants who responded completely to the variables of interest were included in regression analyses.

Results

A total of 2,707 responses were received from HCPs in 60 countries. Fig 1 demonstrates the study period in context of the COVID-19 pandemic (S2 Table) [17, 18].

Table 1 summarizes participant characteristics and responses (additional responses in S3 Table). Half (51·4%) of the respondents from 33 countries reported emotional exhaustion burnout related to their work during the COVID-19 pandemic. The U.S. had the highest reported burnout among all countries at a rate of 62·8%.

Table 1. Healthcare professionals’ responses about perceptions, exposure, and workload during the COVID-19 pandemic.

Country
Brazil 186 (6·9%)
Italy 598 (22·1%)
USA 833 (30·8%)
Sweden 149 (5·5%)
Other 941 (34·8%)
Country level of income
Low-to-Middle-Income Countries (LMIC) 314 (19%)
High-Income Countries (HIC) 1334 (81%)
Occupation category
Physician (Residents, Fellows) 719 (26·6%)
Nurse (NP, PA, CRNA) 855 (31·6%)
Other 1133 (41·9%)
Exposed to a patient with COVID-19
No 644 (33·9%)
Yes 1255 (66·1%)
Symptoms suggestive of COVID-19
No 1526 (80·2%)
Yes 377 (19·8%)
Tested for COVID-19
No 1630 (85·7%)
Yes 271 (14·3%)
Positive test for COVID-19
No 221 (83·1%)
Yes 45 (16·9%)
Current perception of COVID-19
Benign disease 16 (0·9%)
Mild disease 50 (2·9%)
Moderate disease 534 (30·8%)
Severe disease 1134 (65·4%)
Adequate PPE was provided
No 778 (45·2%)
Yes 945 (54·8%)
Was mental health support available
No 902 (52·2%)
Yes 825 (47·8%)
Received COVID-19-specific training
No 921 (53·1%)
Yes 815 (46·9%)
Made life prioritizing decision
No 1470 (85·6%)
Yes 248 (14·4%)
Felt pushed beyond training
No 1174 (68·1%)
Yes 550 (31·9%)
Work impacting household activities because of COVID-19
No 500 (30·5%)
Yes 1139 (69·5%)
Work impacting QoL because of COVID-19
No 538 (32·8%)
Yes 1100 (67·2%)
I am burned out from my work (Likert 1–7)
Strongly disagree 146 (8·9%)
Disagree 255 (15·6%)
Somewhat disagree 114 (7·0%)
Neither agree nor disagree 281 (17·2%)
Somewhat agree 406 (24·8%)
Agree 249 (15·2%)
Strongly agree 187 (11·4%)
I am burned out from my work (Binary)
No 796 (48·6%)
Yes 842 (51·4%)

(PPE) Personal protective equipment; (QoL) Quality of life; (NP) Nurse practitioner; (PA) Physician assistant; (CRNA) Certified registered nurse anesthetist.

Across all countries (Fig 2), in the multivariable regression analysis, reported burnout was associated with work impacting household activities (RR = 1·57, 95% CI = 1·39–1·78, P<0·001), feeling pushed beyond training (RR = 1·32, 95% CI = 1·20–1·47, P<0·001), exposure to COVID-19 patients (RR = 1·18, 95% CI = 1·05–1·32, P = 0·005), and making life prioritizing decisions due to supply shortages (RR = 1·16, 95% CI = 1·02–1·31, P = 0·03). Adequate PPE was protective against reported burnout (RR = 0·88, 95% CI = 0·79–0·97, P = 0·01). The answers of the individuals that were not included in the regression analyses due to missing data did not significantly differ from those who did completely respond.

Fig 2. Forest plots show adjusted Relative Risk (RR) for the multivariable regression analysis of burnout.

Fig 2

(PPE) Personal protective equipment; (ICU) Intensive care unit; (ER) Emergency room; (ID) Infectious diseases.

Country-level analysis revealed lower reported burnout in Italy (RR = 0·72, 95% CI = 0·61–0·84, P<0·001) and Sweden (RR = 0·43, 95% CI = 0·30–0·59, P<0·001) compared to the U.S.

Predictors of burnout differed between LMICs and HICs (S1 Fig). Among the 314 respondents from LMICs, reported burnout was associated with work impacting household activities (RR = 2·31, 95% CI = 1·61–3·43, P<0·001) and adequate PPE (RR = 0·68, 95% CI = 0·52–0·90, P = 0·007). In the 1334 respondents from HICs, reported burnout was associated with feeling pushed beyond training (RR = 1·41, 95% CI = 1·06–1·88, P = 0·02), difficulty obtaining COVID-19 testing (RR = 1·43, 95% CI = 1·04–1·94, P = 0·03), work impacting quality of life (RR = 1·67, 95% CI = 1·12–2·59, P = 0·02), work impacting household activities (RR = 1·75, 95% CI = 1·16–2·75, P = 0·01), and mental health support (RR = 0·72, 95% CI = 0·54–0·96, P = 0·03).

Discussion

Among respondents, half of HCPs from 33 countries reported burnout. Previously reported rates of HCP burnout have ranged from 43% to 48% [3]. Burnout for HCPs working during the COVID-19 pandemic was associated with factors that typically increase the likelihood of HCP burnout [1, 3]. These included feeling pushed beyond training (high workload), making life-or-death prioritizing decisions (high job stress), work impacting the ability to perform household activities (high time pressure), and lack of adequate PPE (limited organizational support).

Burnout among HCPs could be reduced by actions from healthcare institutions and other governmental and non-governmental stakeholders aimed at potentially modifiable factors. These could include providing additional training and mental health resources, strengthening organizational support for HCPs’ physical and emotional needs, supporting family-related issues (e.g. helping with childcare, transportation, temporary housing, wages), and acquiring PPE. A systematic review showed that both individual- and organizational-level strategies are effective in meaningfully reducing burnout. Some of the most commonly utilized methods focused on mindfulness, stress management and small group discussion [20]. Future studies should examine if and how the implementation of such strategies can reduce burnout among HCPs during the pandemic.

Recent studies regarding HCPs’ mental health in response to COVID-19 from China, as well as prior studies of other pandemics, have demonstrated that HCPs may experience depression, anxiety, and posttraumatic stress disorder. Shanafelt et al. highlighted common sources of anxiety from listening sessions with HCPs that align with our findings, such as access to adequate PPE, unknowingly bringing the infection home, and lack of access to up-to-date information and communication [9]. Some HCPs who worked extensively during the SARS pandemic in Beijing later demonstrated posttraumatic stress symptoms (PTSS), and many HCPs in the areas hardest-hit by COVID-19 in China have already started exhibiting similar complaints [21, 22]. To prevent adverse psychological outcomes, mental health support for HCPs is critical [2, 23]. Key interventions include access to psychosocial support including web-based resources, emotional support hotlines, psychological first aid, and self-care strategies.

Burnout can impact not only mental health but also can correlate with physical ailments. A systematic review found that burnout was a predictor for conditions including musculoskeletal pain, prolonged fatigue, headaches, gastrointestinal and respiratory issues [24]. Some factors included in our survey, such as increased workload hours, inadequate PPE or lack of updated guidelines, contributed to higher rates of infection among HCPs at the beginning of the outbreak in late January [25].

Burnout was higher in those countries where the COVID-19 pandemic was surging at the time of data collection (e.g. the U.S.) compared with those where it was declining (e.g. Italy) or had not reached the peak (e.g. Turkey). The lower reported burnout among HCPs in LMICs may reflect resilience due to more experience working in conditions with high adversity and limited availability of supplies [26]. Additionally, the greater reported burnout by HCPs in HICs could be attributed to their greater COVID-19 burden. Addressing burnout in all countries is crucial, but our findings indicate that different strategies should be tailored to the phase of pandemic and the sociocultural and healthcare organizational contexts.

Limitations

Despite this study’s major strengths, including the breadth of responses from across the globe, there are multiple limitations including a non-validated questionnaire, not providing the definition of burnout to participants before the initiation of study, a single item indicator for burnout, minimal demographic data collection, and sampling method using social media. By utilizing recruitment and dissemination strategies dependent on social media, there is a potential selection bias resulting in overrepresentation of HCPs more active on social media forums. The lack of extensive demographic collection, designed to increase participation, limits the ability to assess the representativeness of the study sample.

Future studies should consider expanding beyond the single item to explain the complexity of burnout in HCPs as this study only represents an indication of reported emotional exhaustion in the study participants [16]. Causality between the COVID-19 pandemic and HCPs’ reported burnout cannot be determined due to the nature of this observational study, and additional studies are needed to ascertain causality.

Furthermore, drawing comparisons between countries is limited by the differences in cultures, languages, and healthcare systems. The definition and perception of burnout varies across countries, although the domain of emotional exhaustion, as investigated in this study, remains consistent and validated across all translated languages [12].

Conclusions

While HCPs wage a war against COVID-19, institutions must support these individuals as they face enormous stress that can negatively impact their emotional and physical well-being. Our study is the first worldwide survey of HCPs during the COVID-19 pandemic and demonstrates the presence of reported burnout among respondents at a rate higher than previously reported. Reported burnout was significantly associated with, among others, limited access to PPE as well as making life-or-death decisions due to medical supply shortages. Furthermore, reported burnout was associated with different factors in HICs and LMICs. Current and future burnout among HCPs could be mitigated by actions from healthcare institutions and other governmental and non-governmental stakeholders aimed at potentially modifiable factors, including providing additional training, organizational support, support for HCPs’ families, PPE, and mental health resources.

Supporting information

S1 Questionnaire. COVID-19 questionnaire English version.

(DOCX)

S1 Fig. Predictors of burnout in HICs and LMICs.

Predictors of burnout in HICs (above) and LMICs (below). (PPE) Personal protective equipment.

(DOCX)

S1 Table. Conversion of ordinal variables into binary.

Conversion of ordinal variables into binary; (QoL) Quality of life; (PA) Physician assistant; (NP) Nurse practitioner; (CRNA) Certified registered nurse anesthetist; (RN) Registered nurse.

(DOCX)

S2 Table. Country of provenience of study participants and GDP information.

Country of provenience of study participants and classification according to the World Bank.

(DOCX)

S3 Table. Additional survey responses.

Healthcare professionals responses to perception, exposure, and workload during the COVID-19 pandemic. (HCP) Healthcare professional; (PPE) Personal protective equipment; (QoL) Quality of life; (ICU) Intensive care unit; (ER) Emergency room; (ID) Infectious diseases; (CRNA) Certified registered nurse anesthetist.

(DOCX)

S1 Data

(XLSX)

Acknowledgments

We acknowledge the support received from UIC Center for Clinical and Translational Sciences' Community Engagement and Collaboration core, Dr. Craig Niederberger and Dr. Ervin Kocjancic. The authors acknowledge the Research Open Access Publishing (ROAAP) Fund of the University of Illinois at Chicago for financial support towards the open access publishing fee for this article.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

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Decision Letter 0

Michio Murakami

12 Jun 2020

PONE-D-20-13536

Factors Contributing to Healthcare Professional Burnout During the COVID-19 Pandemic:

A Rapid Turnaround Global Survey

PLOS ONE

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We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

The authors received no specific funding for this work.

3. Please amend the manuscript submission data (via Edit Submission) to include author Heng Wang.

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Additional Editor Comments (if provided):

1. As reviewers pointed out, the authors need to expain participants and recruitment method in more details.

2. The authors need to describe the validity and reliablility of the outcome.

3. It is questionable to compare the level of prevalene in this study (51.4%) with the value (40%) in the other study. Were the same measurement outcome used in this study and the cited study?

4. The authors need to describe the limitations in more details. The limitations may include sample selection biases and validity and reliability of outcomes. If possible, the authors are expected to add how the biases potentlay affected the results and how the authors did the efforts to reduce the biases. Plus, the authors need to add that the causalty is not clarified due to a nature of observational study.

5. Although I recommended the authors to incorporate "Reseach in context" into Introduction and Discussion, although PLOS ONE guidelines are quite flexible and it is not an absolute requirement for the authors to remove this section.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

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Reviewer #1: Partly

Reviewer #2: No

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available?

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Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: General

• Limited questionnaire, but not much that can be done about this

• Needs multivariate regression, including demographic variables

Abstract

• Geographical spread is impressive

• Method needs to state definition of burnout

Research in Context

• The ‘Evidence before this study’ merely states a search strategy without stating what the established knowledge was before the study was conducted

Introduction

• This is a minor point. The authors state in the first sentence ‘novel coronavirus (COVID-19)’. The name of the novel coronavirus is SARS-CoV-2, whereas the name of the disease is COVID-19. This should be corrected.

Methods

• The scope of the study in terms of geography and translation into 18 languages is impressive

• It is a shame that validated self-report rating scales were not used, rather than 40 questions based on expert opinion

• Were demographic data collected from respondents? This is not mentioned in the Methods.

• I am not familiar with the burnout literature, but having the main outcome as a single question on self-report burnout seems like an unstable measure that would show high intra-individual variability. It would have been more helpful to use a validated tool, e.g. as listed here: https://nam.edu/valid-reliable-survey-instruments-measure-burnout-well-work-related-dimensions/

• Only participants who responded completely were included in the regression were included. This is reasonable, but it is important to assess whether completers differed from non-completers in any important ways.

• Before participants were asked whether they were ‘burned out’ by their work, were they given any definition of being ‘burned out’?

Results

• 2707 valid responses were received. The manuscript should state how many invalid responses were received.

• Bivariate associations were reported between burnout and various other factors. It would be important to see a multivariate analysis to see which factors were independently associated with burnout.

• In particular, I cannot see any attempt made to examine demographic associations with burnout. These need to be included in a regression model, as they might be significant confounders.

Discussion

• The 3rd sentence mentions factors that typically increase the likelihood of HCP burnout. This needs a citation.

• The 2nd paragraph rather overreaches itself by stating that burnout could be ‘prevented or minimised’. Given that burnout is always prevalent at a certain rate, it is highly improbable that it could be prevented. Minimisation of burnout may be possible, but this is not demonstrated by this paper, which does not examine interventions. This must be stated more cautiously.

• Paragraph 3 states that ‘HCPs who worked extensively during the SARS pandemic in Beijing later demonstrated posttraumatic stress symptoms’. Surely this is only some HCPs.

Reviewer #2: This study reports the prevalence and the risk factors of burnout among healthcare professionals from several countries during the COVID-19 pandemic. The topic is extremely important and the study provide several valuable suggestions to prevent healthcare professionals’ burnout. However, the study design has several serious weaknesses, which limit the validity of their results.

1. As for burnout or mental health status of healthcare professionals during the COVID-19 pandemic, several studies have already been published (e.g. Wu et al., 2020 (J Pain Symptom Manage. doi: 10.1016/j.jpainsymman.2020.04.008); Barello et al., 2020 (Psychiatry Res 290:113129. doi: 10.1016/j.psychres.2020.113129)). Furthermore, there are a lot of studies reporting healthcare professionals’ burnout or mental health issues during the other pandemic, disaster, or in non-disaster settings. Authors should explain the necessity of their study, unexplored research gaps, in the introduction.

2. Please give a more detailed description of the methods used to identify potential participants. How to identify social media groups restricted to HCPs, how many groups were identified and recruited? Were there any inclusion criteria for the groups? Is it possible to estimate the number of potential participants to this survey? Response rate? The authors should report how to distribute their questionnaire.

3. According to the questionnaire and Table 4, the respondents include students, administrative staffs, not a healthcare professional. Were these respondents included in the analyses?

4. The representativeness of the respondents to their survey was not maintained. Therefore, discussion on the prevalence of burnout is impossible based on their data.

5. Burnout was assessed using a single item scale translated into several languages. The reliability and validity of the translated scales, as well as those of cutoff point of 5, were not reported. It is impossible to compare the prevalence of burnout measured by this scale between countries using different languages. Furthermore, the authors assessed only emotional exhaustion and not assessed the other two dimensions of burnout (depersonalization and personal accomplishment). To compare the prevalence of emotional exhaustion and that of burnout is meaningless.

6. Please report the number of respondents who were categorized into high vs low-middle income countries. Is it appropriate to divide the 60 countries into these two groups? Did the authors try to analyze their data with the other categorization of countries? There are many differences among countries, such as the phase of the pandemic, its fatality rate, strategies for COVID-19 adopted, medical system, resources, etc. If authors choose the categorization based on the country’s income level, they should explain its importance on their study. Figure 2 shows the great differences between US and Italy or Sweden among high-income countries. Although the data of the other countries were not reported, the high prevalence of burnout in high-income countries might almost stem from the data in US.

Minor comments

7. Page 4, line 7

Burnout is usually assessed in three dimensions: emotional exhaustion, depersonalization, and personal accomplishment. The authors’ definition of burnout seemed uncommon. Please explain the definition of “personal achievement” or provide the references.

8. Page 6, line 16

The results of the comparison between nurses and physicians reported in the text (OR=1.47) were different from those in Figure 2 (OR=1.12, ns).

9. The authors declared they received no specific funding for this work in the Financial Disclosure section (through online system?) but they acknowledged that their project was supported by the National Center for Advancing Translational Sciences, National Institutes of Health. They should also report the role of the funder.

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Reviewer #1: Yes: Dr Jonathan P Rogers

Reviewer #2: No

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Attachment

Submitted filename: Review 1.docx

PLoS One. 2020 Sep 3;15(9):e0238217. doi: 10.1371/journal.pone.0238217.r002

Author response to Decision Letter 0


28 Jul 2020

We are truly grateful and humbled for the constructive criticism and suggestions we received from the Editor and the Reviewers.

We believe that your contribution has truly improved the quality of our work and we have learnt important lessons from your feedback.

I extend to you the sincere gratitude of all authors.

Best regards,

Luca Morgantini

Attachment

Submitted filename: Response to Reviewers letter.docx

Decision Letter 1

Michio Murakami

13 Aug 2020

Factors Contributing to Healthcare Professional Burnout During the COVID-19 Pandemic:

A Rapid Turnaround Global Survey

PONE-D-20-13536R1

Dear Dr. Morgantini,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Michio Murakami

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Michio Murakami

24 Aug 2020

PONE-D-20-13536R1

Factors Contributing to Healthcare Professional Burnout During the COVID-19 Pandemic: A Rapid Turnaround Global Survey

Dear Dr. Morgantini:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

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on behalf of

Dr. Michio Murakami

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Questionnaire. COVID-19 questionnaire English version.

    (DOCX)

    S1 Fig. Predictors of burnout in HICs and LMICs.

    Predictors of burnout in HICs (above) and LMICs (below). (PPE) Personal protective equipment.

    (DOCX)

    S1 Table. Conversion of ordinal variables into binary.

    Conversion of ordinal variables into binary; (QoL) Quality of life; (PA) Physician assistant; (NP) Nurse practitioner; (CRNA) Certified registered nurse anesthetist; (RN) Registered nurse.

    (DOCX)

    S2 Table. Country of provenience of study participants and GDP information.

    Country of provenience of study participants and classification according to the World Bank.

    (DOCX)

    S3 Table. Additional survey responses.

    Healthcare professionals responses to perception, exposure, and workload during the COVID-19 pandemic. (HCP) Healthcare professional; (PPE) Personal protective equipment; (QoL) Quality of life; (ICU) Intensive care unit; (ER) Emergency room; (ID) Infectious diseases; (CRNA) Certified registered nurse anesthetist.

    (DOCX)

    S1 Data

    (XLSX)

    Attachment

    Submitted filename: Review 1.docx

    Attachment

    Submitted filename: Response to Reviewers letter.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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