Productivity, Meet Burnout

A simplified measure of burnout symptoms among paramedics - an exploratory analysis of a Hungarian sample

BACKGROUND

Burnout is still one of the leading mental health problems. According to research results over the past decades, healthcare workers, including paramedics, are considered a high-risk group. In concordance with these results, the available resources need to prioritize monitoring paramedics' mental health.

METHODS

In our study, we investigated whether the available test batteries measuring burnout could be reduced while maintaining their effectiveness. We reduced the 21-item Burnout Measurement and the 8-item version of the Psychosomatic Symptom Scale using the data of 727 Hungarian paramedics. We selected the top four items of the questionnaires that were significantly correlated with the original Burnout Measure Index and the Psychosomatic Scale Index. The classification efficiency of the shortened list of items was based on the initial risk categories of the Burnout Measure and its sensitivity was analyzed using Binary Logistic regression and ROC curves. We then used Two-Step Cluster Analysis to test the ability of the shortened Burnout Measure Index to develop new risk categories. The reliability indicators were also explored.

RESULTS

The results show that the Burnout Measurement can be reduced to 4 items with a classification efficiency of 93.5% in determining the level of burnout. The 5-item reduction of the Psychosomatic Symptom Scale can classify subjects to the appropriate intervention level for burnout with an efficiency of 81.6%. The ROC analysis suggests that the shortened questionnaires have an excellent separative ability to discriminate between the initial risk groups. Three new risk categories were also identified as a result of the cluster analysis.

CONCLUSION

The shortened scales may be proven effective in resource management, which could significantly quicken the assessment of burnout in the future. The abbreviated scale is also suitable for classifying subjects into risk categories. However, further research is needed to see whether the shortened scales can be used as a diagnostic tool.

Burnout: A Mindful Framework for the Radiologist

Burnout, the outcome of prolonged stress or frustration, manifests as both mental and physical fatigue affecting over half of healthcare workers. This article will discuss the etiologies, problems, and potential solutions to burnout related issues that are impacting radiologists. Factors placing radiologists at risk for burnout as well the impact of burnout upon the radiologist, the department, staff, and patients they serve will also be discussed. An emphasis will also be placed upon recognition, solutions, and a collective response to burnout. Readers should be able to perform a self-assessment of their own risk for burnout and understand what can be done to dissolve and prevent burnout amongst their colleagues. In doing so, our hope is that radiologists will develop greater insight, awareness, and ultimately empathy for the unique challenges that others in the radiology community may face.

The Relationship Between the Burnout Syndrome Dimensions and Body Mass Index as a Moderator Variable on Obese Managers in the Mexican Maquiladora Industry

Burnout syndrome (BS) and obesity are two growing conditions that affect employees' health and company productivity. Recently, several studies have pointed to a possible relationship between both phenomena. However, such a relationship has not been clearly defined. This research analyzes the relationship between BS dimensions and body mass index (BMI), the latter being treated as a moderator variable among obese senior and middle managers in the Mexican maquiladora industry through a structural equation model. A total of 361 senior and middle managers (124 of them classified as obese under the World Health Organization's criteria) completed both the Maslach Burnout Inventory-General Survey [with emotional exhaustion (EE), cynicism, and professional efficacy (PE) as subscale dimensions] and a sociodemographic questionnaire (which included BMI). The results showed a statistically significant relationship between EE and PE (P < 0.001; β = -0.320), with BMI acting as a moderator variable. The results showed that when BMI increases as a moderator variable, the strength of the relationship between EE and PE also changes. For example, although PE had a negative value of 0.14 before the moderator effect, the value increased up to 0.32 when the BMI was factored into the relationship. Therefore, maquiladora industries are being advised to increase their investments on the identification and prevention of employees' EE and obesity. Such interventions would promote a better quality of life and could prevent economic losses resulting from poor employee performance.

Burnout in Academic Radiologists in the United States

RATIONALE AND OBJECTIVES

To assess the prevalence and associated factors of burnout among U.S. academic radiologists.

MATERIALS AND METHODS

An online survey was sent to the radiologists who were full members of the Association of University Radiologists in December 2018. Burnout was measured using the abbreviated Maslach Burnout Inventory Human Services Survey. Survey respondents were also requested to complete questions on demographics, potential professional stressors, sense of calling, and career satisfaction. Associations between survey participants' characteristics and burnout were tested using logistic regression model.

RESULTS

The survey response rate was 27% (228/831). Twenty-nine percent met all three criteria for high burnout, including high emotional exhaustion, high depersonalization, and low personal accomplishment. Seventy-nine percent had one or more symptoms of burnout. Numerous factors including work overload, inability to balance personal and professional life, lack of autonomy, lack of appreciation from patients and other medical staff were significantly associated (p < 0.05) with high burnout. Older age (OR, 0.95; 95%CI 0.92-0.98; p < 0.05), higher number of years of experience practicing as radiologists (OR, 0.95; 95%CI 0.92-0.98; p < 0.05), and holding academic rank of professor (OR, 0.25; 95%CI 0.11-0.56; p < 0.05) were factors associated with lower odds of experiencing burnout. Radiologists with high burnout were more likely to be dissatisfied with their career (OR, 2.28; 95%CI 1.70-3.07; p < 0.0001) and less likely to identify medicine as a calling.

CONCLUSION

Multiple factors contribute to high burnout in academic radiologists. Familiarity with these factors may help academic radiology departments to develop strategies to promote health and wellness of their faculty.