A latent class assessment of healthcare access factors and disparities in breast cancer care timeliness

Matthew R Dunn, Didong Li, Marc A Emerson, Caroline A Thompson, Hazel B Nichols, Sarah C Van Alsten, Mya L Roberson, Stephanie B Wheeler, Lisa A Carey, Terry Hyslop, Jennifer Elston Lafata and Melissa A Troester

PLOS Medicine, 2024, vol. 21, issue 12, 1-22

Abstract: Background: Delays in breast cancer diagnosis and treatment lead to worse survival and quality of life. Racial disparities in care timeliness have been reported, but few studies have examined access at multiple points along the care continuum (diagnosis, treatment initiation, treatment duration, and genomic testing). Methods and findings: The Carolina Breast Cancer Study (CBCS) Phase 3 is a population-based, case-only cohort (n = 2,998, 50% black) of patients with invasive breast cancer diagnoses (2008 to 2013). We used latent class analysis (LCA) to group participants based on patterns of factors within 3 separate domains: socioeconomic status (“SES”), “care barriers,” and “care use.” These classes were evaluated in association with delayed diagnosis (approximated with stages III–IV at diagnosis), delayed treatment initiation (more than 30 days between diagnosis and first treatment), prolonged treatment duration (time between first and last treatment–by treatment modality), and receipt of OncotypeDx genomic testing (evaluated among patients with early stage, ER+ (estrogen receptor-positive), HER2- (human epidermal growth factor receptor 2-negative) disease). Associations were evaluated using adjusted linear-risk regression to estimate relative frequency differences (RFDs) with 95% confidence intervals (CIs). Delayed diagnosis models were adjusted for age; delayed and prolonged treatment models were adjusted for age and tumor size, stage, and grade at diagnosis; and OncotypeDx models were adjusted for age and tumor size and grade. Conclusions: Black patients face more frequent delays throughout the care continuum, likely stemming from different types of access barriers at key junctures. Improving breast cancer care access will require intervention on multiple aspects of SES and healthcare access. Matthew R Dunn and colleagues use latent class methods to generate composite measures of access to healthcare, including socioeconomic status, care barriers and care use, to examine their association with timeliness of breast cancer care.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1004500

DOI: 10.1371/journal.pmed.1004500

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