Objective: To evaluate the impact of organizational leadership on the professional satisfaction and burnout of individual physicians working for a large health care organization.
Participants And Methods: We surveyed physicians and scientists working for a large health care organization in October 2013. Validated tools were used to assess burnout. Physicians also rated the leadership qualities of their immediate supervisor in 12 specific dimensions on a 5-point Likert scale. All supervisors were themselves physicians/scientists. A composite leadership score was calculated by summing scores for the 12 individual items (range, 12-60; higher scores indicate more effective leadership).
Results: Of the 3896 physicians surveyed, 2813 (72.2%) responded. Supervisor scores in each of the 12 leadership dimensions and composite leadership score strongly correlated with the burnout and satisfaction scores of individual physicians (all P<.001). On multivariate analysis adjusting for age, sex, duration of employment at Mayo Clinic, and specialty, each 1-point increase in composite leadership score was associated with a 3.3% decrease in the likelihood of burnout (P<.001) and a 9.0% increase in the likelihood of satisfaction (P<.001) of the physicians supervised. The mean composite leadership rating of each division/department chair (n=128) also correlated with the prevalence of burnout (correlation=-0.330; r(2)=0.11; P<.001) and satisfaction (correlation=0.684; r(2)=0.47; P<.001) at the division/department level.
Conclusion: The leadership qualities of physician supervisors appear to impact the well-being and satisfaction of individual physicians working in health care organizations. These findings have important implications for the selection and training of physician leaders and provide new insights into organizational factors that affect physician well-being.
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http://dx.doi.org/10.1016/j.mayocp.2015.01.012 | DOI Listing |
Sci Rep
December 2024
Department of Dermatology, Niazi Hospital, Lahore, Pakistan.
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.
View Article and Find Full Text PDFNat Commun
December 2024
School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Per- and polyfluoroalkyl substances (PFASs) have recently garnered considerable concerns regarding their impacts on human and ecological health. Despite the important roles of polyamide membranes in remediating PFASs-contaminated water, the governing factors influencing PFAS transport across these membranes remain elusive. In this study, we investigate PFAS rejection by polyamide membranes using two machine learning (ML) models, namely XGBoost and multimodal transformer models.
View Article and Find Full Text PDFJ Pediatr Hematol Oncol
January 2025
Department of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center.
This quality improvement initiative aimed to reduce the no-show rate at a hospital-based tertiary sickle cell ophthalmology clinic. Missed appointments place a significant burden on the healthcare system, resulting in prolonged waiting times and underutilized clinical resources that impact the quality of care provided. Individuals with sickle cell disease commonly require multiple appointments to address the myriads of comorbidities associated with their disease.
View Article and Find Full Text PDFKidney Med
January 2025
Division of Rheumatology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Rationale & Objective: Dialysis patient care technicians (PCTs) provide essential, frontline care for patients receiving in-center hemodialysis. We qualitatively explored perceptions of the PCT job role, responsibilities, and training among current PCTs, non-PCT dialysis staff, and patients receiving hemodialysis.
Study Design: Focus group study.
Cureus
November 2024
Cardiology, Mount Sinai West Hospital, New York, USA.
The mechanism and severity of mitral valve (MV) regurgitation (MR) play a critical role in guiding treatment decisions. Transthoracic echocardiography (TTE) is the primary diagnostic modality for evaluating MV disease. Discordant findings on TTE can be further quantified through transesophageal echocardiography (TEE).
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