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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedLandy R, Gomez I, Caverly TJ
Methods for using race and ethnicity in prediction models for lung cancer screening eligibility.
The purpose of this study was to compare eligibility for lung cancer screening in a representative United States population by refitting the life-years gained from screening-computed tomography (LYFS-CT) model to exclude race and ethnicity versus a counterfactual eligibility method that recalculates life expectancy for racial and ethnic minority individuals utilizing the same covariates but substitutes White race and utilizes the higher predicted life expectancy, preventing historically underserved groups from being penalized. The National Health Interview Survey (NHIS) 2015-2018 included 25,601 individuals aged 50 to 80 years who ever smoked. The study found that removing race and ethnicity from the submodels underestimated lung cancer death risk and all-cause mortality in African American individuals. It also overestimated mortality in Hispanic American and Asian American individuals. As a result, the LYFS-CT NoRace model increased Hispanic American and Asian American eligibility by 108% and 73%, respectively, while decreasing African American eligibility by 39%. Utilizing LYFS-CT with the counterfactual all-cause mortality model better maintained calibration across groups and increased African American eligibility by 13% without decreasing eligibility for Hispanic American and Asian American individuals.
AHRQ-funded; HS026198.
Citation: Landy R, Gomez I, Caverly TJ .
Methods for using race and ethnicity in prediction models for lung cancer screening eligibility.
JAMA Netw Open 2023 Sep; 6(9):e2331155. doi: 10.1001/jamanetworkopen.2023.31155..
Keywords: Racial and Ethnic Minorities, Cancer: Lung Cancer, Cancer, Screening, Prevention
Lee SJC, Lee J, Zhu H
Assessing barriers and facilitators to lung cancer screening: initial findings from a patient navigation intervention.
This study’s objective was to examine the challenges to providing lung cancer screening using low-dose computed tomography for patients, particularly minority, under-, and uninsured populations. The authors conducted a pragmatic randomized controlled trial of telephone-based navigation for lung cancer screening in an integrated, urban safety-net health care system. They used bilingual navigators (Spanish and English) to make systematic contact with patients, recording standardized call characteristics in a study-specific database. A total of 225 patients (mean age 63 years, 46% female, 70% racial/ethnic minority) were assigned navigators, with a total of 559 barriers to screening identified during 806 telephone calls. The most common barrier types were personal (46%), provider (30%), and practical (17%). System (6%) and psychosocial (1%) barriers were described by English-speaking patients, but not by Spanish-speaking patients. Provider-related barriers decreased by 80% over the course of the lung cancer screening process.
AHRQ-funded; HS022418.
Citation: Lee SJC, Lee J, Zhu H .
Assessing barriers and facilitators to lung cancer screening: initial findings from a patient navigation intervention.
Popul Health Manag 2023 Jun; 26(3):177-84. doi: 10.1089/pop.2023.0053..
Keywords: Cancer: Lung Cancer, Cancer, Screening, Prevention, Imaging