Ontology highlight
ABSTRACT: Background
Lesbian, gay, bisexual, transgender, queer, or another nonheterosexual or cisgender identity (LGBTQ+) cancer survivors experience high financial hardship. However, structural drivers of inequities do not impact all LGBTQ+ individuals equally. Using All of Us data, we conducted an intersectional analysis of behavioral financial hardship among LGBTQ+ cancer survivors.Methods
LGBTQ+ inequities in behavioral financial hardship (ie, cost-related foregone care, delayed care, and medication alterations) and non-cost-related delayed care were estimated using All of Us data. Multivariable logit models were used to generate predicted probabilities, average marginal effects, and 95% confidence intervals. Models were then used to estimate inequities when disaggregating LGBTQ
SUBMITTER: Waters AR
PROVIDER: S-EPMC12058255 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature