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Appreciating Appreciation: Residents' Experience Feeling Valued Differently as Learners, Physicians, and Employees.
Acad Med
December 2024
K.M.J.M.H. Lombarts is professor, Professional Performance & Compassionate Care Research Group, Department of Medical Psychology, Amsterdam University Medical Center, University of Amsterdam, and researcher, Quality of Care Program, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Purpose: Cultures of wellness, defined as shared norms, values, attitudes, and behaviors that promote personal and professional growth and well-being, are robust determinants of professional fulfillment and professional performance. A major and largely overlooked aspect of a culture of wellness in medicine is residents' perceived appreciation or experience of feeling valued. Considering the pressing workforce and retention challenges that residency programs face, this study addressed the following research questions: How does appreciation at work manifest in the eyes of residents and how do residents perceive appreciation in relation to their professional fulfillment and performance?
Method: Guided by an interpretative phenomenological approach, this qualitative study purposively sampled 12 residents from different specialties, training years, regions in the Netherlands, and genders.
pyAKI-An open source solution to automated acute kidney injury classification.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFTrends in Screening for Social Risk in US Physician Practices.
JAMA Netw Open
January 2025
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Importance: A wealth of research on screening for social risks in health care has emerged, but evidence is lacking on how social risk screening among physician practices has changed over time.
Objectives: To evaluate trends in screening for social risks among US physician practices and examine practice characteristics associated with adoption of social risk screening.
Design, Setting, And Participants: The main analysis used a repeated cross-sectional design to analyze results from US physician practices that completed the National Survey of Healthcare Organizations and Systems, a nationally representative survey of physician practices, in 2017 and 2022.
Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.
Int J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
Departments of Neurology, Psychiatry, and Epidemiology, Gertrude H. Sergievsky Center, The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Background: Cardio and cerebrovascular risk factors (CVRFs) increase the risk of cerebrovascular disease and clinical Alzheimer's Disease (AD), and over 70% of the patients with AD coincident cerebrovascular pathology. We previously found that FMNL2 interacts with a burden score of hypertension, diabetes, heart disease, and body mass index (BMI) by altering the normal astroglial-vascular mechanisms that underly amyloid clearance. Stroke, defined by history of a clinical stroke or brain imaging, is a moderately robust risk factor for AD and dementia.
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