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Impact of Perceived Discrimination and Pandemic Attitudes on Cancer Screening Behaviors Among Asian American Women: A Sequential Explanatory Mixed-Methods Study.
J Am Coll Radiol
December 2024
Vice Chair for Radiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Co-Chair, RSNA Health Equity Committee; Associate Editor, Journal of the American College of Radiology.
Purpose: The aim of this study was to assess how pandemic-related health concerns and discrimination affected cancer screenings among Asian American women (AAW).
Methods: A two-phase explanatory mixed-methods study was conducted. In phase 1, a survey was distributed among AAW eligible for lung, breast, or colorectal cancer screening to assess delays during the pandemic, concerns about contracting coronavirus disease 2019 (COVID-19), barriers to care, and experiences of discrimination.
It's Time to Retire "You Guys" From Professional Conversations.
J Am Coll Radiol
December 2024
Head, Cardiovascular & Thoracic Imaging Division; Deputy Department Head, Innovation; Site Director, Toronto General Hospital; Director, Computed Tomography; Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Female Representation in Integrated Interventional Radiology Residency: Trends, Underrepresentation, and Modest Growth Over 5 Years.
J Am Coll Radiol
December 2024
Emory University Department of Radiology and Imaging Sciences, Atlanta, Georgia.
Objective: Women remain a minority of trainees in interventional radiology (IR) since the residency's inception in 2014. Similar phenomena have been observed in other surgical specialties. Our study aims to quantify changes in female trainee representation in integrated IR over a 5-year period from the 2018-2019 to 2022-2023 academic years and to compare with trends in other specialties.
View Article and Find Full Text PDFExternal Validation of the Neiman Imaging Comorbidity Index in Medicare, Medicaid, and Private Payer Claims Data.
J Am Coll Radiol
December 2024
Director of Economic and Health Services Research, The Harvey L. Neiman Health Policy Institute, Reston, Virginia.
Objective: The Neiman Imaging Comorbidity Index (NICI) was developed and validated in a claims dataset encompassing >10 million privately insured beneficiaries, in which it outperformed the commonly used Charlson Comorbidity Index (CCI) in predicting advanced imaging use. This external validation assessed the broader generalizability of NICI for predicting receipt of advanced imaging in nationally representative populations, including patients insured by Medicare, Medicaid, and private payers.
Methods: All 2018 to 2019 patient-level claims from the CMS Medicare 5% Research Identifiable File, CMS Medicaid 100% Research Identifiable File, and private insurance (commercial and Medicare Advantage) claims from Inovalon Insights, LLC, were included.
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