This study investigates burnout and sources of stress related to the coronavirus disease 2019 (COVID-19) pandemic among a group of health care risk managers/patient safety practitioners.

An online survey was used, including the Oldenburg Burnout Inventory (OLBI) and 1 open-ended question: Since the start of the COVID-19 pandemic, what work or non-work-related issues have been causing you the most stress?

A total of 31 participants completed the OLBI; 27 answered the open-ended question. Over 70% of participants qualified as burned out. A thematic analysis was used to analyze stressors. Key themes included impacts of social distancing, changing duties and workload, real and potential impacts of the virus (eg, fear of infection for self or others), and financial concerns (personal and organizational). Less common themes included untrustworthy and constantly changing guidance, feeling abused by persons in power, and positive comments about the experience of working during the pandemic.

Burnout and pandemic-related stress may be very common in the health care risk management and patient safety workforce. Additional research is required to more robustly estimate the prevalence of burnout in this population. Meanwhile, the sources of stress identified here may aid health care organizations in taking immediate action to protect this vital workforce.

Hurricanes Sandy and Irene damaged and destroyed homes, businesses, and infrastructure, and recovery after these storms took years. The goal of this article was to learn from the lived experience of local-level decision-makers actively involved in the long-term disaster recovery process after Hurricanes Irene and Sandy. Respondents provided professional recommendations, based on their experience, to assist other organizations in preparing for, responding to, and recovering from disasters.

Semi-structured interviews were conducted with professionals actively involved in recovery from Hurricane Irene or Hurricane Sandy in 5 different communities. Transcripts were qualitatively analyzed.

Respondents’ advice fell into 5 main categories: planning and evaluation, education and training, fundraising and donations management, building relationships, and disaster behavioral health.

The lived experience of those in disaster recovery can provide guidance for planning, education, and training both within and outside their communities in order to better respond to and recover from future disasters. These data help to facilitate a community of practice by compiling and sharing the lived experience of leaders who experienced large-scale disasters, and the outcomes of this analysis help to show what areas of planning require special attention in the phases of preparedness, response, and recovery. (Disaster Med Public Health Preparedness. 2016;10:623–630)

This study explored the influence of satisfaction with economic and social rights (ESR) on the quality of life (QOL) of people in post-disaster zones in Sichuan, China.

Data from a survey conducted in 2013 in the 5 hardest hit counties in the earthquake-prone area of Sichuan were used. QOL was measured by use of the brief version of the World Health Organization Quality of Life questionnaire (WHOQOL-BREF). Structural equation models were developed to determine the specific features of the influence of satisfaction with ESR on QOL.

The mean values of both the WHOQOL-BREF scale and the ESR satisfaction scale were lower than the midpoint of the scales. Satisfaction with ESR had a significant effect on psychological health, social relationships, and environment, apart from physical health. Satisfaction with the right to food had the greatest effect on QOL, followed by the rights to education, work, health, social security, and housing.

Satisfaction with ESR had a significant positive influence on the QOL of people in a post-disaster zone, particularly satisfaction with the right to food. Policies on food and education guarantees and mental health intervention are highlighted. (Disaster Med Public Health Preparedness. 2015;9:111-118)

In Germany there is considerable variability in the organizational forms of intensive-care medicine. We present economical data that arose during the reorganization of an intensive care unit with the implementation of the continuous presence of a trained intensivist. The unit was changed from an intensive-observational unit managed by four surgical departments without continuous presence of a trained intensivist to an interdisciplinary surgical intensive care unit managed by the Department of Anaesthesia in co-operation with the surgical departments with the continuous presence of trained intensivists.

Measurement of costs for personnel, medical equipment and external services, revenues, length of hospital stay and complications of cardiac surgical patients.

Per year costs for personnel increased by approximately €240 000, while expenses for medical equipment were reduced by €245 000. In all, 466 hospital days were saved by the reduction in the length of hospital stay, providing capacity for 22 additional cardiac surgical cases. In addition, the presence of trained intensivists made it possible to provide care for more severely ill patients, which gained approximately 100 additional case-mix points and increased the hospital’s revenues by more than €300 000. Emergency readmission to the intensive care unit was reduced by 17%. The number of patients requiring renal replacement therapy and those developing non-occlusive mesenteric ischaemia was substantially reduced.

In addition to the medical advantages, staffing the intensive care unit with trained intensivists 24 h a day was of appreciable economical benefit.

The European anaesthesia workforce is facing increased demand and expansion of the labour market, which may likely exceed supply. This survey assesses the numbers and practice patterns of anaesthesiologists and studies migration and shortage of the anaesthesia workforce in Europe.

A questionnaire was sent to all national European anaesthesia societies. Countries were grouped according to their relationship with the European Union.

The number of anaesthesiologists per 100 000 population varies between 2.7 (Turkey) and 20.7 (Estonia). There seems to be no clear evidence for feminization of the anaesthesia workforce. Anaesthesia physician training lasts between 3 yr (Armenia, Belarus, Uzbekistan) and 7 yr (Ireland, UK), and seems to positively correlate with the number of trainees. Throughout Europe, anaesthesiologists typically work in public practice, and are involved in the entire care chain of surgical patients (anaesthesia, intensive care, chronic pain and pre-hospital emergency medicine). The differences between European salaries for anaesthesiologists are up to 50-fold. Most Western European countries are recipients of migrating anaesthesiologists who often originate from the new member states of the European Union. However, it seems that expectations about anaesthesia workforce shortages are not confined to Eastern Europe.

Each European country has its own unique workforce constellation and practice pattern. Westward migration of anaesthesiologists from those countries with access to the European Union labour market may be explained by substantial salary differences. There is a European-wide lack of systematic, comparable data about the anaesthesia workforce, which makes it difficult to accurately assess the supply of anaesthesiologists.

A reliable emergency department (ED) workload measurement tool would provide a method of quantifying clinical productivity for performance evaluation and physician incentive programs; it would enable health administrators to measure ED outputs; and it could provide the basis for an equitable formula to estimate ED physician staffing requirements. Our objectives were to identify predictors that correlate with physician time needed to treat patients and to develop a multivariable model to predict physician workload.

During 31 day, evening, night and weekend shifts, a research assistant (RA) shadowed 20 emergency physicians, documenting time spent performing clinical and non-clinical functions for 585 patient visits. The RA recorded key predictors including patient gender, age, vital signs and Glasgow Coma Scale (GCS) score, and the mode of arrival, triage level assigned, comorbidity and procedures performed. Multiple linear regression was used to describe the associations between predictor variables and total physician time per patient visit (TPPV), and to derive an equation for physician workload. Model derivation was based on 16 shifts and 314 patient visits; model validation was based on 15 shifts and 271 additional patient visits.

The strongest predictor variables were: procedure required, triage level, arrival by ambulance, GCS, age, any comorbidity, and number of prior visits. The derived regression equation is: TPPV = 29.7 + 8.6 (procedure required [Yes]) – 3.8 (triage level [1–5]) + 7.1 (ambulance arrival) – 1.1 (GCS [3–15]) + 0.1 (age in years) – 0.05 (n of previous visits) + 3.1 (any comorbidity). This model predicted 31.3% of the variance in physician TPPV (F [12, 29] = 13.2; p < 0.0001).

This study clarifies important determinants of emergency physician workload. If validated in other settings, the predictive formula derived and internally validated here is a potential alternative to current simplistic models based solely on patient volume and perceived acuity. An evidence-based workload estimation tool like that described here could facilitate ED productivity measurement, benchmarking, physician performance evaluation, and provide the substrate for an equitable formula to estimate ED physician staffing requirements.