Identifying objective risk factors of financial toxicity in patients with cancer.

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e24116 Background: Current financial toxicity (FT) screening tools rely on patient-reported risk factors (RF)1. Underrepresented populations may not be forthcoming about FT fears due to cultural concerns of treatment withholding or migratory repercussions, if applicable1–4. Identifying objective RF, such as social determinants of health (SDH) and disease-specific factors (DSF), could reduce FT in cancer patients and healthcare systems. Methods: This was a multi-center retrospective study evaluating SDH and DSF associated with FT (defined as ≥$15,000 owed) related to cancer treatment. Inferential statistics were used to evaluate differences between the FT cohort and those who owed < $15,000. Continuous data were compared with a Student’s t or Mann-Whitney U test, depending on distribution. Categorical outcomes were compared with a chi square test. A logistic regression model was used to evaluate multivariate associations with FT, using p < 0.05 to define significant results. Results: The sample comprised 162 records, 81 in each group. Univariate analyses demonstrated differences in age, lack of PCP, non-US country of origin, lack of insurance, lower education levels, need for an English interpreter, stage 4 at diagnosis, recurrent or metastatic disease, use of immune checkpoint inhibitors (ICI), and use of targeted molecular therapy (TMT) (Table 1). Employment status and marital status were not statistically different. The logistic regression model showed that lack of insurance and stage 4 at diagnosis were significantly associated with FT (p = 0.001 and p = 0.0495, resp.). Conclusions: Objective FT screening can minimize response bias and incidence in those at increased risk. Non-US country of origin and lack of English proficiency suggests that first-generation Hispanics may not be appropriately navigated for FT. These findings identify specific subpopulations at risk for FT and will guide prospective interventions looking to minimize FT. Healthcare systems should analyze objective measures of FT while considering loco-regional and subcultural SDH/DSF in order to overcome response bias. Ref. Witte J et al. Methods for measuring financial toxicity after cancer diagnosis and treatment. Annals of Oncology. 2019;30(7) Strasser-Weippl K et al. Progress and remaining challenges for cancer control in Latin America and the Caribbean. Lancet Oncol. 2015;16(14) Zhu Z et al. Cancer survivors’ experiences with financial toxicity. Psychooncology. 2020;29(6) Chebli P et al. Multilevel determinants of financial toxicity in breast cancer care. Supportive Care in Cancer. 2020;28(7). [Table: see text]

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