Determinants of Professional Fulfillment and Burnout Among Intensivists: A National Survey by the Society of Critical Care Anesthesiologists in 2022.

BACKGROUND: Increased burnout and decreased professional fulfillment among intensive care physicians is partly due to intensive care unit (ICU) workload. Although the SARS-CoV-2 (COVID-19) pandemic increased ICU workload, it also may have increased feelings of personal fulfillment due to positive public perceptions of physicians caring for COVID patients. We surveyed critical care anesthesiologists to identify the effect of provider demographics, ICU workload, and COVID-19-related workload, on professional fulfillment and burnout. METHODS: We performed an exploratory survey of 606 members of the Society of Critical Care Anesthesiologists (SOCCA) in January and February 2022. We used the Stanford Professional Fulfillment Index (PFI) to grade levels of professional fulfillment and markers of burnout (ie, work exhaustion and disengagement). Univariable and multivariable models were used to identify associations between provider demographics and practice characteristics and professional fulfillment and work exhaustion. RESULTS: One hundred and seventy-five intensivists (29%) responded. A total of 65% were male and 49% were between 36 and 45 years old. The overall median PFI score-0 (none) to 24 (most professional fulfillment)-was 17 (IQR, 1-24), with a wide distribution of responses. In multivariable analysis, factors associated with higher professional fulfillment included age >45 years ( P =.004), ≤15 weeks full-time ICU coverage in 2020 ( P =.02), role as medical director ( P =.01), and nighttime home call with supervision of in-house ICU fellows ( P =.01). CONCLUSIONS: Professional fulfillment and work exhaustion in this cross-sectional survey were associated with several demographic and practice characteristics but not COVID-19-related workload, suggesting that COVID-19 workload may not have either positive or negative perceptions on professional fulfillment.

Burnout Among Chinese Anesthesiologists After the COVID-19 Pandemic Peak: A National Survey.

BACKGROUND: Evidence has shown that large-scale pandemics can have prolonged psychological impacts on health care professionals. The current study aimed to evaluate the prevalence of burnout after the coronavirus disease 2019 (COVID-19) epidemic peak and to explore the prolonged impact of COVID-19 on burnout among Chinese anesthesiologists. METHODS: From August 2021 to October 2021, a nationwide cross-sectional survey was conducted. Burnout was measured using the Maslach Burnout Inventory-Human Service Survey. Basic demographic information, exposure to COVID-19, and perceived institutional support were documented. Validated tools measuring mental health status, including anxiety, depression, post-traumatic stress disorder (PTSD) and resilience, were also used to provide additional information on psychological distress. RESULTS: Of the 8850 anesthesiologists from the 218 institutions who were invited to participate, 6331 (74.93%) completed the surveys and were included in the analysis. A total of 52.7% (95% confidence interval [CI], 51.5-53.9) met the criteria for burnout. Depression, anxiety, and PTSD were positively associated with burnout. After pooled multivariate analysis adjusting for potential confounding factors, among the COVID-19 exposure parameters, redeployment outside normal professional boundaries remained associated with an increased risk of burnout (odds ratio, 0.84; 95% CI, 0.72-0.92; P = .039). Higher perceived institutional support and resilience could act as protective factors against burnout. CONCLUSIONS: The impact of the COVID-19 epidemic on the psychological well-being of anesthesiologists still exists more than 1 year after the outbreak. Building better institutional support and cultivating stronger resilience may be helpful future intervention measures.

Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring.

The research described in this article is a continuation of work on a computational model of quality of life (QoL) satisfaction. In the proposed approach, overall life satisfaction is aggregated to personal life satisfaction (PLUS). The model described in the article is based on well-known and commonly used clinimetric scales (e.g., in psychiatry, psychology and physiotherapy). The simultaneous use of multiple scales, and the complexity of describing the quality of life with them, require complex fuzzy computational solutions. The aim of the study is twofold: (1) To develop a fuzzy model that allows for the detection of changes in life satisfaction scores (data on the influence of the COVID-19 pandemic and the war in the neighboring country were used). (2) To develop more detailed guidelines than the existing ones for further similar research on more advanced intelligent systems with computational models which allow for sensing, detecting and evaluating the psychical state. We are concerned with developing practical solutions with higher scientific and clinical utility for both small datasets and big data to use in remote patient monitoring. Two exemplary groups of specialists at risk of occupational burnout were assessed three times at different intervals in terms of life satisfaction. The aforementioned assessment was made on Polish citizens because the specific data could be gathered: before and during the pandemic and during the war in Ukraine (a neighboring country). That has a higher potential for presenting a better analysis and reflection on the practical application of the model. A research group (physiotherapists, n = 20) and a reference group (IT professionals, n = 20) participated in the study. Four clinimetric scales were used for assessment: the Perceived Stress Scale (PSS10), the Maslach Burnout Scale (MBI), the Satisfaction with Life Scale (SWLS), and the Nordic Musculoskeletal Questionnaire (NMQ). The assessment was complemented by statistical analyses and fuzzy models based on a hierarchical fuzzy system. Although several models for understanding changes in life satisfaction scores have been previously investigated, the novelty of this study lies in the use of data from three consecutive time points for the same individuals and the way they are analyzed, based on fuzzy logic. In addition, the new hierarchical structure of the model used in the study provides flexibility and transparency in the process of remotely monitoring changes in people's mental well-being and a quick response to observed changes. The aforementioned computational approach was used for the first time.

Effectiveness of a Mindful Compassion Care Program in reducing burnout and psychological distress amongst frontline hospital nurses during the COVID-19 pandemic: a study protocol for a randomized controlled trial.

BACKGROUND: Recent studies have shown that nurses have been more affected by the COVID-19 pandemic than any other group of hospital workers in terms of anxiety, depression, and burnout. Several clinical studies had previously demonstrated the effectiveness of mindfulness and compassion interventions in reducing burnout and emotional distress amongst healthcare professionals. METHODS AND ANALYSIS: A parallel-group randomized controlled trial will assess the feasibility, acceptability, and efficacy of a mindfulness and compassion-focused programme on frontline nurses who had been working during the COVID-19 pandemic. Seventy-two participants will be recruited from Verona University Hospital Trust (Veneto Region, north-east Italy) and will be divided equally into an intervention group and a control group. Primary outcome will be assessed using the Emotional Exhaustion subscale of the Maslach Burnout Inventory General Survey (MBI-GS). Secondary outcomes will be measured by the Cynicism and Professional Efficacy subscales of the MBI-GS, the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder (GAD-7), the Insomnia Severity Index (ISI), the Impact of Stressful Events (IES-R), the Perceived Stress Scale (PSS), the Five Facet Mindfulness Questionnaire (FFMQ), and the Forms of Self-Criticising/attacking and Self-Reassuring Scale (FSCRS). DISCUSSION: The study aims to fill a gap in the literature and present a scientifically validated intervention for those healthcare professionals most exposed to the stressful conditions of working during the COVID-19 pandemic. TRIAL REGISTRATION: ClinicalTrials.gov; Identifier: NCT05308537.

A tranquil virtual reality experience to reduce subjective stress among COVID-19 frontline healthcare workers.

OBJECTIVE: The novel coronavirus-19 (COVID-19) has taken an immense physical, social, and emotional toll on frontline healthcare workers. Research has documented higher levels of anxiety, depression, and burnout among healthcare workers during the pandemic. Thus, creative interventions are needed now more than ever to provide brief, accessible support to frontline workers. Virtual reality is a rapidly growing technology with potential psychological applications. In this study, we piloted a three-minute Tranquil Cinematic-VR simulation of a nature scene to lower subjective stress among frontline healthcare workers in COVID-19 treatment units. We chose to film a nature scene because of the extensive empirical literature documenting the benefits of nature exposure and health. METHODS: A convenience sample of frontline healthcare workers, including direct care providers, indirect care providers, and support or administrative services, were recruited from three COVID-19 units located in the United States. Inclusion criteria for participation included adults aged 18 years and older who could read and speak in English and were currently employed by the healthcare system. Participants viewed a 360-degree video capture of a lush, green nature preserve in an Oculus Go or Pico G2 4K head-mounted display. Prior to viewing the simulation, participants completed a brief demographic questionnaire and the visual analogue scale to rate their subjective stress on a 10-point scale, with 1 = 'Not at all stressed' to 10 = 'Extremely stressed.' We conducted paired t-tests to examine pre- and post-simulation changes in subjective stress as well as Kruskal-Wallis tests and Mann-Whitney U tests to examine differences by demographic variables. All analyses were conducted in SPSS statistical software version 28.0. We defined statistical significance as a p-value less than .05. RESULTS: A total of 102 individuals consented to participate in the study. Eighty-four (82.4%) participants reported providing direct patient care, 73 (71.6%) identified as women, 49 (48.0%) were between the ages of 25-34 years old, and 35 (34.3%) had prior experience with VR. The pre-simulation mean stress score was 5.5±2.2, with a range of 1 to 10. Thirty-three (32.4%) participants met the 6.8 cutoff for high stress pre-simulation. Pre-simulation stress scores did not differ by any demographic variables. Post-simulation, we observed a significant reduction in subjective stress scores from pre- to post-simulation (mean change = -2.2±1.7, t = 12.749, p < .001), with a Cohen's d of 1.08, indicating a very large effect. Further, only four (3.9%) participants met the cutoff for high stress after the simulation. Post-simulations scores did not differ by provider type, age range, gender, or prior experience with virtual reality. CONCLUSIONS: Findings from this pilot study suggest that the application of this Tranquil Cinematic-VR simulation was effective in reducing subjective stress among frontline healthcare workers in the short-term. More research is needed to compare the Tranquil Cinematic-VR simulation to a control condition and assess subjective and objective measures of stress over time.

Burnout in diabetes and endocrinology specialist registrars across England, Scotland and Wales in the pre-COVID era.

BACKGROUND: Presence of either emotional exhaustion, depersonalization or lack of personal accomplishment define Burnout Syndrome which may lead to decreased workforce productivity, increased absenteeism, depression and medical errors as well as decreased patient satisfaction. OBJECTIVE: The aim of this study was to assess the frequency of burnout syndrome among Diabetes Specialist Registrars across England, Scotland and Wales and to identify any self-reported factors which may be contributory to burnout. METHODS: Over 430 Diabetes Specialist Registrars were invited to anonymously participate in an electronic survey which used Maslach Burnout Inventory and selfreporting questionnaire to identify burnout and contributory factors. RESULTS: In this pre-pandemic times study, Burnout was identified in 61 (57.5%; n = 106) respondents using Maslach burnout cut-off scores. 45.2% (48/106) participants had scored high in Emotional Exhaustion, while lack of personal accomplishment and depersonalization was seen in 24.5% (26/106) and 21.6% (23/106) of the respondents respectively. The commonest self-reported stressors by participants were "General Internal Medicine workload" 60.4% (64/106) followed by "Lack of specialty training" 36.8% (39/106) and "Lack of audit/research/Continuing Professional Development time" 10.8% (11/106) CONCLUSION: Burnout syndrome is frequent among the participating Diabetes Specialist Registrars and urgent steps may be required address this problem nationally to ensure that these physicians remain physically and mentally healthy, especially after the pandemic.

Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals.

Burnout in healthcare professionals (HCPs) is a multi-factorial problem. There are limited studies utilizing machine learning approaches to predict HCPs' burnout during the COVID-19 pandemic. A survey consisting of demographic characteristics and work system factors was administered to 450 HCPs during the pandemic (participation rate: 59.3%). The highest performing machine learning model had an area under the receiver operating curve of 0.81. The eight key features that best predicted burnout are excessive workload, inadequate staffing, administrative burden, professional relationships, organizational culture, values and expectations, intrinsic motivation, and work-life integration. These findings provide evidence for resource allocation and implementation of interventions to reduce HCPs' burnout and improve the quality of care.

[Burnout Symptoms Among Child and Adolescent Psychiatric/Psychotherapy Professionals During the 2020/2021 Winter Lockdown of the Covid-19 Pandemic]. / Burnout-Symptome bei Fachkräften in der Kinder- und Jugendpsychiatrie/Psychotherapie während des Winter-Lockdowns 2020/2021 der COVID-19-Pandemie.

Burnout Symptoms Among Child and Adolescent Psychiatric/Psychotherapy Professionals During the 2020/2021 Winter Lockdown of the Covid-19 Pandemic Abstract. Question: Professionals in clinics and Departments of Child and Adolescent Psychiatry/Psychotherapy are often confronted with stress during their daily work. Such psychological pressure can cause stress symptoms such as burnout. This article examines the consequences of burnout symptoms at the institutional level, such as staff turnover. Method: We examined the connection between burnout symptoms and the institutional consequences of presenteeism, absenteeism, turnover tendency, and reduced quality of job performance during the winter lockdown (2020/2021) of the Covid-19-pandemic at psychiatric hospitals or departments for children and adolescents in Germany using a sample of N = 172 professionals. Results: The results show that signs of burnout symptoms impact the turnover tendency, presenteeism, and job performance of professionals. In addition, evidence emerged that professionals were more stressed during the winter lockdown (2020/2021) of the Covid-19 pandemic, and that this influenced turnover tendency, presenteeism, and absenteeism as well as the quality of job performance. Conclusion: Work-related stress of professionals should be addressed early to protect clinics and departments for child and adolescent psychiatry/psychotherapy from potential consequences, and to ensure care connectivity and quality of care.

Association between nursing work stress, burnout and nosocomial infection rate in a neonatal intensive care unit in Hargeisa, Somaliland.

Our study looks at the effects of burnout and stress levels of nurses, behaviour regarding medical waste, and other effective risk factors on the first time and recurrent diagnosis of nosocomial infection (NI) in neonatal intensive care units in Hargeisa, Somaliland. This multicentric follow-up study was conducted and repeated measurements were taken from 72 neonates and 45 nurses working in three hospitals for a period of five months. Nurses with high burnout levels had 3.7 times higher risk of neonates under their care being diagnosed with an NI (odds ratio: 3.743; 95% CI: 1.498-9.356). By controlling other variables, the stress level of nurses increased the incidence rate of neonates being diagnosed more than once with NI by 3.2 times. Statistically, the direction of causal association was from the high burnout among nurses to the diagnosis of NI, and high stress was associated with the recurrent diagnosis of infections in neonates.

Evaluation of burnout in physician members of the American Brachytherapy Society.

PURPOSE: To evaluate the prevalence of burnout among brachytherapy specialists and to identify factors associated with burnout. METHODS AND MATERIALS: An anonymous, online, cross-sectional survey was administered to non-trainee physician members of the American Brachytherapy Society. Burnout was evaluated using the validated Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Demographic and practice-specific questions were collected from respondents. Univariate and multivariable analysis of outcomes were performed using probabilistic index models. RESULTS: Overall, 51 of 400 physicians responded (13% response rate). Fifty-seven percent of respondents demonstrated at least one symptom of professional burnout. However, only 6% of respondents met strict criteria for high burnout. Analysis of the individual MBI-HSS subdomains demonstrated higher subscale scores for emotional exhaustion and depersonalization, but also higher scores for personal accomplishment. On multivariable analysis after adjusting for increased feelings of burnout due to the COVID-19 pandemic or total hours of work per week, younger age was associated with both increased subscale scores for emotional exhaustion (p = 0.026) and lower personal accomplishment (p = 0.010). Lastly, nearly half of all respondents (47%) reported increased feelings of burnout due to the COVID-19 pandemic. Respondents from academic facilities were significantly more likely to report increased burnout due to COVID-19 compared to those from non-academic facilities (odds ratio, 7.04; 95% CI 1.60-31.0; p = 0.010). CONCLUSIONS: Nearly 60% of brachytherapists demonstrated symptoms of professional burnout, which is higher than other radiation oncology groups (academic chairs, program directors, residents). Managing stressors related to workload, COVID and support for junior physicians are potential areas for improving feelings of burnout.

Assessment of Burnout Levels Before and During COVID-19 Pandemic: A Web-Based Survey by the (Italian) Association of Medical Endocrinologists (AME).

BACKGROUND: Some endocrinologists were involved in the management of patients with suspected or confirmed COVID-19 during the first wave of the pandemic. This study aims to analyze burnout levels among the Association of Medical Endocrinologists (AME) members before and during the pandemic. METHODS: We recruited two AME members samples at two different times: before COVID-19 (n = 811) and during the first wave of the ongoing pandemic (n = 579). Both the samples filled the Maslach Burnout Inventory. We performed MANOVAs to evaluate demographic and COVID-19 related differences in burnout levels and Pearson's Chi-square test to compare burnout severity before and during the pandemic. RESULTS: Women reported higher Emotional Exhaustion and reduced Professional Accomplishment than men. The oldest physicians had lower levels of Emotional Exhaustion and Depersonalization and higher Professional Accomplishment than younger workers. Independent contractors displayed lower levels of burnout compared to established contractors. Finally, the pandemic, per se, did not lead to changes in burnout levels. DISCUSSION: Women and young physicians are at higher risk of burnout. It is also possible that front- line professionals are at higher risk during a health care crisis. Moreover, it is likely that the length of exposure to the pandemic has not been sufficient to impact burnout levels. CONCLUSION: Short-term exposure to pandemic-related activities seemed to have a low impact on burnout severity, except for physicians directly involved in managing COVID-19 cases. It is strongly recommended the availability of psychological support in public hospitals.

Burnout among medical students interested in neurosurgery during the COVID-19 era.

OBJECTIVE: The novel Coronavirus Disease 2019 (COVID-19) pandemic has posed unprecedented new stressors to medical student education. This national survey investigated the prevalence of burnout in U.S. medical students interested in pursuing neurosurgical residency during the COVID-19 pandemic. METHODS: A 24-question survey was sent to all American Association of Neurological Surgeons (AANS) medical student chapter members. The abbreviated Maslach Burnout Inventory (aMBI) was used to measure the following burnout metrics: emotional exhaustion, depersonalization, and personal accomplishment. Bivariate analyses were conducted and multivariate analyses were performed using a logistic regression models. RESULTS: 254 medical students were included (response rate of 14.5%). The majority were male (55.1%), White (66.1%), and between their 2nd and 3rd years in medical school (62.6%). Burnout was identified in 38 (15.0%) respondents, a rate lower than reported in the pre-COVID era. In multivariate analysis, burnout was significantly associated with choosing not to pursue, or feeling uncertain about pursuing, a medical career again if given the choice (OR = 3.40, p = 0.0075), having second thoughts about choosing to pursue neurosurgery (OR = 3.47, p = 0.0025), attending a medical program in the Northeast compared to the Southeast (OR = 0.32, p = 0.027) or Southwest U.S. (OR = 0.30, p = 0.046), and indicating that one's future clinical performance will have worsened due to COVID-19 (OR = 2.71, p = 0.025). CONCLUSIONS: Our study demonstrates relatively low rates of burnout among U.S. medical students interested in pursuing neurosurgery during the COVID-19 pandemic. Our findings also demonstrate multiple factors may aid in early identification of burnout, highlighting potential opportunities for intervention.

The role of online consultation requests to personal social media accounts and instant messaging services of dermatologists in occupational burnout: An emerging problem.

BACKGROUND: Burnout affects all physicians, including dermatologists. Long working hours, high workload, and work-related activities outside working hours are common risk factors for burnout that disrupt the work-life balance. This study aimed to evaluate dermatologists' approach to online consultation requests via social media (SM) and instant messaging services (IMS), the psychological effects of these consultations on dermatologists, and their relationship with burnout syndrome. MATERIALS AND METHODS: A cross-sectional, descriptive research was conducted as an online survey using Google Forms. The survey consisted of 55 items and was sent to dermatologists through a closed Facebook group of the Turkish Society of Dermatology. The burnout levels of dermatologists were evaluated using three subscales of the Maslach Burnout Inventory (MBI): emotional exhaustion (EE), depersonalization (DP), and personal achievement (PA). RESULTS: Out of the total 270 participants, 268 (99.3%) participants reported using SM and IMS, whereas 263 (98.1%) received personal consultation requests on these applications. Among all IMS, WhatsApp (n=258, 98.1%) was the most common IMS for online consultation requests. Median (IQR) scores for EE, DP, and PA subscales were 18 (11), 6 (5), and 21 (6), respectively. A positive correlation was observed between the frequency of online consultation requests and MBI-EE subscale scores (r = 0.136; 95% CI, 0.013-0.254; p = 0.026). Fatigue (95.1%), anger (66.6%), and unhappiness (45.2%) were among the most common adverse effects of online consultations on dermatologists. CONCLUSION: Online consultation requests to dermatologists' personal IMS and SM accounts can lead to burnout. The current study findings raise the awareness of the risks of burnout among dermatologists. There is an implicit need for further research, mobile apps other than frequently used IMS and SM apps, and regulations to avoid problems related to the consequences of online dermatology consultations through IMS and SM.

High Exhaustion in Geriatric Healthcare Professionals During the COVID-19 Second Lockdown.

BACKGROUND: In a previous study, we assessed burnout in geriatric healthcare workers during the first lockdown that lasted from March to May 2020 in France, in response to the COVID-19 crisis. OBJECTIVE: We carried out a follow-up study to assess burnout in the same population during the second lockdown that was implemented at the end of October 2020. METHODS: We used an online survey to assess burnout in terms of exhaustion and disengagement in a sample of 58 geriatric healthcare workers. RESULTS: We found higher levels of exhaustion, disengagement, and burnout among geriatric healthcare workers during the second than during the first lockdown. We also found high levels of exhaustion but moderate disengagement and burnout during the second lockdown. CONCLUSION: The increased exhaustion, disengagement, and burnout during the second lockdown can be attributed to the increased workload in geriatric facilities throughout this crisis and during the second lockdown due to shortage in staff and increased number of shifts and allocated duties. The high levels of exhaustion reported among geriatric healthcare workers during the second lockdown can reflect their physical fatigue, as well as their feelings of being emotionally overextended and exhausted by their workload.

Measures of Burnout and Empathy in United States Doctor of Pharmacy Students: Time for a Change?

PURPOSE: To review interim data regarding longitudinal burnout and empathy levels in a single Doctor of Pharmacy class cohort. METHODS: Students were emailed an electronic survey during their first semester and annually at the end of each academic year for a total of 3 years (2017-2020). Validated survey tools included the Jefferson Scale of Empathy (JSE) and the Maslach Burnout Inventory (MBI) student version. The JSE survey consists of 20 questions, with higher scores denoting more empathy. The MBI student version contains 3 subscales: exhaustion (higher scores are worse), cynicism (higher scores are worse) and professional efficacy (higher scores are better). RESULTS: The median JSE score at the end of the third academic year (PY3) was 110, with females scoring significantly higher (114.5 vs. 103.5; p<0.02). A majority of the 62 students reported burn out (82.3%), scoring in the highest category for either exhaustion (76%) or cynicism (55%). A majority (66%) also reported a low or moderate professional efficacy score, a negative finding. Measures of student burnout increased after the start of the program and remained at the higher level each subsequent year (p<0.0001). In the Spring of 2020, during the COVID-19 pandemic, nearly every student had moderate or high levels of emotional exhaustion (97%) and cynicism (78%) as measured by the MBI. CONCLUSION: This interim data suggests high degrees of pharmacy student burnout. Empathy levels remained stable throughout the duration of the study. Pharmacy schools may need to focus on reform regarding well-being and prevention of burnout.

Prevalence of burnout risk and factors associated with burnout risk among ICU nurses during the COVID-19 outbreak in French speaking Belgium.

OBJECTIVE: Burnout is a global work-related phenomenon. Intensive care unit (ICU) nurses are at risk of burnout and the COVID-19 pandemic may increase this risk. The objectives of this study were to assess the prevalence of burnout risk and identify risk factors among ICU nurses during the COVID-19 pandemic. RESEARCH METHODOLOGY: Web-based survey performed during the first wave of the COVID-19 pandemic in French speaking Belgium. MAIN OUTCOME MEASURES: Risk of burnout was assessed with the Maslach Burnout Inventory scale. RESULTS: A total of 1135 ICU nurses responded to the questionnaire. The overall prevalence of burnout risk was 68%. A total of 29% of ICU nurses were at risk of depersonalisation (DP), 31% of reduced personal accomplishment (PA), and 38% of emotional exhaustion (EE). A 1:3 nurse-to-patient ratio increased the risk of EE (OR = 1.77, 95% CI: 1.07-2.95) and DP (OR = 1.38, 95% CI: 1.09-2.40). Those who reported having a higher perceived workload during the COVID-19 pandemic were at higher risk for all dimensions of burnout. Shortage of personal protective equipment increased the risk of EE (OR = 1.78, 95% CI: 1.35-3.34) and nurses who reported having symptoms of COVID-19 without being tested were at higher risk of EE (OR = 1.40, 95% CI: 1.68-1.87). CONCLUSIONS: Two-thirds of ICU nurses were at risk of burnout and this risk was associated with their working conditions during the first wave of the COVID-19 pandemic. We recommend monitoring the risk of burnout and implementing interventions to prevent and manage it, taking into account the factors identified in this study.

Evaluation of stress, burnout and hair cortisol levels in health workers at a University Hospital during COVID-19 pandemic.

In the critical context of COVID-19 pandemic, healthcare workers are on the front line, participating directly in the care, diagnosis, and treatment of patients with COVID-19. This exposes them to a higher risk of developing chronic stress, psychological distress, and any other mental health symptoms. OBJECTIVE: to evaluate stress and burnout in a health workers population and, in addition, to measure hair cortisol concentration as a current biomarker of stress. MATERIALS AND METHODS: 234 health workers from Hospital de Clínicas "José de San Martín", Buenos Aires University, were included in this study. In this population hair samples were obtained from the posterior vertex as close to the scalp as possible and the individuals completed the following surveys: perceived stress, social support, burnout scale, life event scale, and sociodemographic data. Hair cortisol was measured by an automated chemiluminescent method. The studied population was divided into three groups considering those individuals below the healthy reference sample range (< 40 pg/mg hair), within the healthy reference range (40-128 pg/mg hair) and above the reference range (> 128 pg/mg hair). This study used a transversal and observational design. RESULTS: Our results show that 40% of the studied population presented hair cortisol values outside of the healthy reference range. In the whole studied population, a direct correlation was found between hair cortisol concentration and perceived stress as well as between hair cortisol concentration and the emotional exhaustion component of burnout (r = 0.142, p = 0.030; r = 0.143, p = 0.029, respectively). 12% of the studied population showed Burnout (52% doctors and residents, 19% nurses, 19% administrative personnel). Higher values in hair cortisol levels were found in the group with burnout versus individuals without burnout (p = 0.034). Finally, a mediation analysis was performed, finding that depersonalization is a mediating variable in the relationship between self-perceived stress and hair cortisol level (F = 4.86, p = 0.0086; indirect effect IC: 0.0987-1.8840). CONCLUSION: This is the first study in which a stress biomarker such as hair cortisol is evaluated in this population and in this context. Healthcare workers are subjected to increased levels of stress and burnout. High depersonalization, emotional exhaustion, and decreased personal sense of accomplishment characterize this population. It is the responsibility of the health authorities to implement strategies to manage this psychological emergency.

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study.

BACKGROUND: During the COVID-19 pandemic, health professionals have been directly confronted with the suffering of patients and their families. By making them main actors in the management of this health crisis, they have been exposed to various psychosocial risks (stress, trauma, fatigue, etc). Paradoxically, stress-related symptoms are often underreported in this vulnerable population but are potentially detectable through passive monitoring of changes in speech behavior. OBJECTIVE: This study aims to investigate the use of rapid and remote measures of stress levels in health professionals working during the COVID-19 outbreak. This was done through the analysis of participants' speech behavior during a short phone call conversation and, in particular, via positive, negative, and neutral storytelling tasks. METHODS: Speech samples from 89 health care professionals were collected over the phone during positive, negative, and neutral storytelling tasks; various voice features were extracted and compared with classical stress measures via standard questionnaires. Additionally, a regression analysis was performed. RESULTS: Certain speech characteristics correlated with stress levels in both genders; mainly, spectral (ie, formant) features, such as the mel-frequency cepstral coefficient, and prosodic characteristics, such as the fundamental frequency, appeared to be sensitive to stress. Overall, for both male and female participants, using vocal features from the positive tasks for regression yielded the most accurate prediction results of stress scores (mean absolute error 5.31). CONCLUSIONS: Automatic speech analysis could help with early detection of subtle signs of stress in vulnerable populations over the phone. By combining the use of this technology with timely intervention strategies, it could contribute to the prevention of burnout and the development of comorbidities, such as depression or anxiety.