Predictors Between the Subcomponents of Burnout Among Radiology Trainees

Best Practices: Burnout Is More Than Binary

Burnout among radiologists is increasingly prevalent, with potential for substantial negative impact on physician well-being, care delivery, and health outcomes. To evaluate this phenomenon using reliable and accurate means, validated quantitative instruments are essential. Variation in measurement can contribute to wide-ranging findings. This article evaluates radiologist burnout rates globally and dimensions of burnout as reported using different validated instruments and provide guidance on best practices to characterize burnout. Fifty-seven studies between 1990 and 2023 were included in a systematic review, and 43 studies were included in a meta-analysis of burnout prevalence using random effects models. Reported burnout ranged from 5% to 85%. With the Maslach Burnout Inventory (MBI), burnout prevalence varied significantly depending on instrument version. Among MBI subcategories, the prevalence of emotional exhaustion was 54% (95% CI, 45-63%), depersonalization was 52% (95% CI, 41-63%), and low personal accomplishment was 36% (95% CI, 27-47%). Other validated burnout instruments showed less heterogeneous results; studies using the Stanford Professional Fulfillment Index yielded burnout prevalence of 39% (95% CI, 34-45%), whereas the Validated Single-Item instrument yielded 34% (95% CI, 29-39%). Standardized instruments for prevalence alongside multidimensional profiles capturing experiences may better characterize radiologist burnout, including change over time.

A Meta-analysis of Burnout in Radiology Trainees and Radiologists: Insights From the Maslach Burnout Inventory

RATIONALE AND OBJECTIVES

Burnout, stemming from chronic work stress, is a significant issue in the medical field, especially among radiologists. It leads to compromised patient care and reduced job satisfaction. Addressing burnout in radiology is essential for the well-being of radiologists and, in turn, for improving patient care. This study aimed to assess the prevalence and dimensions of burnout among radiology trainees (RTs) and practicing radiologists (PRs).

MATERIALS AND METHODS

A systematic review and meta-analysis were conducted in accordance with established guidelines. The search encompassed PubMed, Scopus, Web of Science, and Embase databases up to June 20, 2023. Eligible studies that assessed the rate of burnout syndrome and/or its subscales, including depersonalization (DP), emotional exhaustion (EE), and personal accomplishment (PA), among RTs and/or PRs using the Maslach Burnout Inventory (MBI), were included. Relevant data were extracted and analyzed using R and STATA.

RESULTS

Among the 22 included studies, the pooled rates of positive MBI subscales for RTs and PRs were as follows: 54.7% (95% confidence interval [CI]: 43.8%-65.1%, I2 = 95.2%) for DP, 57.2% (95% CI: 48.7%-65.4%, I2 = 92.9%) for EE, and 38.6% (95% CI: 27%-51.7%, I2 = 95.5%) for low PA. The pooled rate indicating the presence of at least one positive MBI subscale was 82.9% (95% CI: 79.2%-86.1%, I2 = 57.4%). For two or more positive MBI subscales, the pooled rate was 55.5% (95% CI: 49.7%-61.3%, I2 = 60.2%), and for three positive MBI subscales, it was 16.7% (95% CI: 11.7%-23.3%, I2 = 82.7%).

CONCLUSION

This study emphasizes a notable prevalence of burnout in the radiology specialty, with 8 of 10 individuals exhibiting positive results in at least one MBI subscale. This highlights the urgent need for interventions and support systems to protect the well-being of both trainees and practitioners and uphold the quality of patient care.

Burnout among radiology residents: a systematic review and meta-analysis

OBJECTIVE

To analyze the prevalence of burnout among radiology residents.

METHOD

Five databases (PubMed, Web of Science, Embase, PsycINFO, and Scopus) were searched for studies reporting burnout in radiology residents for the period up to November 7, 2022.

RESULTS

A total of 423 studies were identified, and eventually, 16 studies were selected for the qualitative analysis, of which 11 studies were used in the meta-analysis. There was a total of 2164 radiology residents. Six studies reported the prevalence of burnout but the data could not be pooled due to their inconsistent definitions of burnout. The mean scores of three burnout subscales indicated a moderate to high degree of severity: emotional exhaustion = 25.2 (95% CI, 22.1-28.3; I2 = 94.4%), depersonalization = 10.2 (95% CI, 8.5-11.9; I2 = 93.0%), and low perception of personal accomplishment = 32.9 (95% CI, 30.5-35.4; I2 = 94.4%). The pooled prevalence of high-degree emotional exhaustion was 49.9% (95% CI, 43.6-56.1%; I2 = 55.7%), high-degree depersonalization was 45.1% (95% CI, 38.3-52.0%; I2 = 63.2%), and high-degree diminished personal accomplishment was 58.2% (95% CI, 36.0-77.6%; I2 = 84.9%). The impact of the COVID-19 pandemic on radiology residents was not investigated. In addition, there are inconsistent findings on the effects of female sex, seniority, and social support on burnout.

CONCLUSIONS

About half of the radiology residents showed at least one of the three burnout manifestations (emotional exhaustion, depersonalization, and personal accomplishment), with a moderate to high degree of severity.

CLINICAL RELEVANCE STATEMENT

Such a high prevalence and severity of burnout among radiology residents warrant the attention of residency program directors.

KEY POINTS

• Burnout, not uncommon among radiology residents, has not been effectively analyzed. • Nearly half of the radiology residents experience at least one of the three manifestations of burnout to a moderate to high degree. • The high prevalence and severe degree of burnout among radiology residents warrant the attention of residency program directors.

Village doctors' dilemma in China: A systematic evaluation of job burnout and turnover intention

Background

Village doctors (VDs) in China undertook arduous primary healthcare missions. However, they received little attention in comparison to doctors in urban public secondary and tertiary hospitals. There is an urgent need to explore the overall situation of turnover intention and job burnout among VDs to evaluate and adjust current health manpower policy.

Methods

In this study, seven databases like PubMed, EMBASE, Web of Science (WOS), WanFang, China Science and Technology Journal Database (VIP), Chinese BioMedical Literature Database (CBM), and China National Knowledge Infrastructure (CNKI) were systematically searched, relevant experts were consulted, and empirical research on job burnout and turnover intention among VDs in international publications was evaluated. Therefore, we evaluated the prevalence of job burnout among VDs in general, across all dimensions and different severity levels, as well as the scores of each category. For turnover intention, we assessed the prevalence of different groups and their overall situation and also identified significant contributors.

Results

In this study, we integrated 20 research evidences on job burnout and turnover intention among 23,284 VDs from almost all provinces in China, and the prevalence of turnover intention among VDs in China was as high as 44.1% [95% confidence interval (CI): 34.1-54.2], which was two to four times that of primary health workers in high-income countries, but not much different from some developing countries. Simultaneously, VDs with the highest risk of turnover intention were men [odds ratio (OR): 1.22 (1.05-1.43)], those with a monthly income below USD 163.4 [OR: 0.88 (0.78-0.98)], those with a high educational level [OR: 0.88 (0.78-0.98)], and those <40 years old [OR: 1.27 (1.16-1.40)]. Similarly, the detection rate of job burnout toward them was 59.8% (95% CI: 38.7-79.1) with the MBI-GS score being 44.44 (95% CI: 37.02-51.86) in a total of 90, while the detection rate of job burnout in moderate and above almost reached 20%. The most significant contributor that affects job burnout was low personal accomplishment (LPA), and the detection rate for moderate and higher severity was 65.2% (95% CI: 58.7-71.7).

Conclusion

Attention should be paid to the high turnover intention and severe job burnout of primary health workers in rural areas of developing countries, and targeted measures should be taken to improve the situation. Health policymakers should increase financial subsidies for VDs, set a reasonable workload, improve various health policies such as pension insurance for VDs, and encourage "targeted training" for medical students to enrich and expand their team.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021289139.

Comparative Analysis of Radiology Trainee Burnout Using the Maslach Burnout Inventory and Oldenburg Burnout Inventory

BACKGROUND

Burnout is an individualized response to imbalances between job demands and resources that has predominantly been evaluated with the Maslach Burnout Inventory (MBI). There are other instruments not validated among healthcare providers that may be comparable to the MBI. Utilizing alternative measurements can allow researchers to assess wellness with a larger array of questions.

OBJECTIVE

We explored differences between the MBI- Human Services Survey for Medical Personnel (MBI-HSS [MP]) and Oldenburg Burnout Inventory (OLBI) in evaluating emotional exhaustion (EE)/exhaustion and depersonalization (DP)/disengagement.

METHODS

We administered the MBI-HSS (MP) and OLBI to United States (US) radiology trainees during three,1-month intervals in April 2018, October 2018, and April 2019. Student's T-tests or ANOVA was used to evaluate differences between demographic groups and burnout scores in the MBI-HSS (MP) and OBLI. Non-inferiority analysis was completed to evaluate if the OBLI was not inferior to the MBI-HSS (MP) in how its subscales measure exhaustion and disengagement. The MBI-HSS (MP) subtotals for EE and DP were compared with the OLBI scores for exhaustion and disengagement using two-tailed paired T-tests for each trainee.

RESULTS

Of 2823 trainees emailed, 770 (27.3%) responded. The mean EE Maslach score was 21/54, and the mean DP Maslach score was 8/30. The average OBLI exhaustion and disengagement score was 2.38 and 2.22, respectively. Comparative analysis of completed MBI-HSS (MP) and OLBI subscales yielded no significant difference between the EE/exhaustion (t(496)=1.038; p=0.30) or DP/disengagement (t(498)=0.084; p=0.933) subscales.

CONCLUSIONS

Our national study of radiology trainees demonstrated that the OLBI was not inferior in assessing exhaustion and disengagement to the EE and DP subscales of the MBI-HSS (MP).