Communication about health often involves descriptions of risk: the probability or likelihood of an unfavorable outcome. Communicating risk helps individuals make choices about their own health by building understanding of potential outcomes and providing context for the importance of procedures, health interventions, and lifestyle choices. However, medical education in the United States does not provide future physicians with adequate statistical literacy to communicate risk effectively and rarely encourages them to practice communicating risk in pre-clinical years. Risk communication in military intelligence, a field with formalized risk language and training, offers a unique perspective into potential improvements for medical risk communication. With backgrounds in the military, public health, communication, surgery, and medical education, the authors offer the following recommendations to improve risk communication for medical students. (1) Encourage the use of numerical absolute risk when communicating among health practitioners to avoid varied interpretations of what different risk descriptors ("uncommon," "likely," or "low") might mean; (2) build efficient, teachable skills in use of patient-facing risk communication tools like comparative probabilities and visual aids; and (3) practice estimating risk through role-play of risk communication between medical students and standardized patients. By improving risk communication in medical education, future doctors will be better equipped to build trust through open communication and improve the health of the patients and the communities for whom they care.
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http://dx.doi.org/10.1177/23821205241278182 | DOI Listing |
Cardiovasc Diabetol
January 2025
Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Background: The stress hyperglycemia ratio (SHR) has recently gained attention as a marker for acute hyperglycemia, which has been linked to adverse clinical outcomes. However, its independent role in the development of type 2 diabetes (T2D) remains understudied. This cohort study aimed to assess the association between SHR and the incidence of T2D.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA.
Objectives: To evaluate the immediate impacts of an illustrated book on puberty and periods for girls in the United States (US).
Methods: We conducted a randomized educational intervention between February-May 2023 among girls ages 9-12 years in after-school programs in the New York metropolitan area (n = 123). Girls were assigned to read a book on puberty and periods or an alternative book on healthy eating.
Ther Innov Regul Sci
January 2025
Department of Biostatistics, Peking University, Beijing, China.
In the International Council for Harmonisation (ICH) guidance on General Principles for Planning and Design of Multi-Regional Clinical Trials (E17), it is important to evaluate the consistency of treatment effect across regions in a multi-regional clinical trial (MRCT). In this paper, we elaborated on some basic considerations to evaluate consistency. We first list the design considerations, and then provide consistency evaluation and interpretation on pharmacokinetics, pharmacodynamics, efficacy, safety, and benefit-risk.
View Article and Find Full Text PDFInflamm Res
January 2025
Queen's Belfast University, Belfast, Northern Ireland, UK.
Background: Giant cell arteritis (GCA) is a prevalent artery and is strongly correlated with age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated.
Method: Through single-cell analysis, we focused on the CD4+ Memory T cells in giant cell arteritis.
Clin Mol Hepatol
January 2025
Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background/aims: There are no hepatocellular carcinoma (HCC) surveillance recommendations for non-viral chronic liver diseases (CLD), such as metabolic dysfunction associated steatotic liver disease (MASLD). We explored the Steatosis-Associated Fibrosis Estimator (SAFE) score to predict HCC in MASLD and other CLD etiologies.
Methods: Patients with various CLDs were included from medical centers in Taiwan.
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