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Financial Toxicity During Breast Cancer Treatment: A Qualitative Analysis To Inform Strategies For Mitigation, Laila A. Gharzai, Kerry A. Ryan, Lauren Szczygiel, Susan Goold, Grace Li Smith, Sarah T. Hawley, John A.E. Pottow, Reshma Jagsi
Financial Toxicity During Breast Cancer Treatment: A Qualitative Analysis To Inform Strategies For Mitigation, Laila A. Gharzai, Kerry A. Ryan, Lauren Szczygiel, Susan Goold, Grace Li Smith, Sarah T. Hawley, John A.E. Pottow, Reshma Jagsi
Articles
Financial toxicity from cancer treatment is a growing concern. Its impact on patients requires refining our understanding of this phenomenon. We sought to characterize patients' experiences of financial toxicity in the context of an established framework to identify knowledge gaps and strategies for mitigation. Semistructured interviews with patients with breast cancer who received financial aid from a philanthropic organization during treatment were conducted from February to May 2020. Interviews were transcribed and coded until thematic saturation was reached, and findings were contextualized within an existing financial toxicity framework. Thirty-two patients were interviewed, of whom 58% were non-Hispanic White. The mean …
Why Are You Here? Modeling Illicit Massage Business Location Characteristics With Machine Learning, Anna White, Seth Guikema, Bridgette Carr
Why Are You Here? Modeling Illicit Massage Business Location Characteristics With Machine Learning, Anna White, Seth Guikema, Bridgette Carr
Articles
Illicit massage businesses are a venue for sex and labor trafficking in the United States. Though many of their locations are made publicly available through online advertising, little is known about why they choose to locate where they do. In this work, we use inferential modeling to better understand the spatial distribution of illicit massage businesses within the U.S. Based on addresses web-scraped weekly from online advertisements over 6 months, we modeled illicit massage business prevalence at the census tract and county levels. We used publicly available data to characterize census tracts and counties, finding that the state in which …