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3070 Time to Diagnostic Resolution After an Abnormal Screening Mammogram: a Single-Center Experience in an Underserved Hospital
Published online by Cambridge University Press: 26 March 2019
Abstract
OBJECTIVES/SPECIFIC AIMS: The study aims to identify patient and provider factors associated with delay in diagnostic resolution after an abnormal screening mammogram, with an emphasis on whether patients who spoke Chinese as their primary language sustained longer times to resolution. Primary outcome is to identify what proportion of patients achieve diagnostic resolution after abnormal screening mammogram within 90 days. Secondary outcome is to identify whether Chinese-speaking patients experience longer times to diagnostic resolution. METHODS/STUDY POPULATION: We performed a single-center retrospective cohort study at Tufts Medical Center (TMC), a tertiary care hospital that serves as the primary referral site for the Chinatown neighborhood in Boston. We included patients who underwent screening mammogram between 10/1/2015-9/30/2016 which was resulted as BIRADS-0 (non-diagnostic). Diagnostic resolution was defined as BIRADS-1, 2, or 3 imaging or definitive biopsy. We collected data on patient demographics (age, insurance plan, race/ethnicity, primary language, history of cancer), provider characteristics (referring provider location), and post-referral testing. Insurance was categorized as private-only or subsidized. Poverty was categorized using the American Fact Finder database, with a binary variable of <20% of ≥20% people in poverty for a given zip code. We performed descriptive statistics for all variables. We will perform multivariable Cox regression analyses to determine whether Chinese-speaking patients experience longer time to diagnostic resolution, adjusting for age, referring provider type, insurance status, poverty, and breast cancer history. We will use p<0.05 for our threshold for significance. RESULTS/ANTICIPATED RESULTS: We identified 386 patients who met inclusion criteria. Over half (55.9%) of patients were Caucasian, the mean age of study patients was 59 years, and 22% of patients were classified as poor. English was the most commonly spoken primary language (77.7%), while 15.3% of patients identified a Chinese dialect as their primary language. Most patients solely used private insurance for their medical care (73.1%). Majority of patients (83%) presented after undergoing a routine screening mammography, but a considerable proportion (14.4%) had prior breast cancer or a palpable mass. Most patients were referred for their screening mammogram by a hospital-based provider at TMC (85%), of which 77% of TMC referrals were from primary care. We also noted a limited number of referrals from community health centers, private practices and other PCP’s (Table 1). We will calculate median time to diagnostic resolution after screening mammogram and the proportion of patients who achieve resolution within 90 days. We will also calculate time to initiation of diagnostic workup, and whether this differed among Chinese-speaking patients, subsidized patients, or among those who were referred from outside of TMC. We will complete Cox multivariable analysis to identify if Chinese-speaking patients experience longer time to diagnostic resolution, adjusting for age, insurance status, Primary care provider location, poverty, and prior history of breast cancer. We will a priori test for an interaction between primary care provider within Tufts and Chinese as primary language to identify if a PCP within TMC modifies the relationship between Chinese language and time to resolution. DISCUSSION/SIGNIFICANCE OF IMPACT: The proposed study will identify whether disparities exist in time to achieving diagnostic resolution. Specifically, we will identify if patients who are primarily Chinese-speaking experience longer time to resolution. Our results will potentially provide the foundation for a patient navigation program to attenuate existing disparities by providing additional support for Chinese speaking patients in breast imaging workup.
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- Health Equity & Community Engagement
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- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
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- © The Association for Clinical and Translational Science 2019