Importance: Diagnostic variation among pathologists interpreting cutaneous melanocytic lesions could lead to suboptimal care.
Objective: To estimate the potential association of second-opinion strategies in the histopathologic diagnosis of cutaneous melanocytic lesions with diagnostic accuracy and 1-year population-level costs in the US.
Design, Setting, And Participants: Decision analysis with 1-year time horizon including melanocytic lesion diagnoses available from US pathologists participating in the Melanoma Pathology Study (M-Path) and from the study panel of reference pathologists who classified cases using the MPATH-Dx classification tool.
Background: In an effort to overcome quality and cost constraints inherent in population-based research, diverse data sources are increasingly being combined. In this paper, we describe the performance of a Medicare claims-based incident cancer identification algorithm in comparison with observational cohort data from the Nurses' Health Study (NHS).
Methods: NHS-Medicare linked participants' claims data were analyzed using 4 versions of a cancer identification algorithm across 3 cancer sites (breast, colorectal, and lung).
Although research on effective teaching methods exists, the application of this information in prehospital medical education is limited. Applying lessons from the realms of cognitive psychology and neuroscience, prehospital educators can enhance their ability to teach. One such concept is the theory of cognitive load.
View Article and Find Full Text PDFBackground: Primary care providers and health systems have prominent roles in guiding effective cancer screening.
Objective: To characterize variation in screening abnormality rates and timely initial follow-up for common cancer screening tests.
Design: Population-based cohort undergoing screening in 2011, 2012, or 2013 at seven research centers comprising the National Cancer Institute-sponsored Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium.