Financial Toxicity Among Disaggregated Asian American Cancer Survivors

Importance Panethnic categorization of Asian American individuals masks sociodemographic diversity. Whether this aggregation obscures heterogeneity in cancer-related financial toxicity remains unknown due to a lack of disaggregated data. Objective To evaluate associations between disaggregated Asian American identity and financial toxicity among cancer survivors compared with non-Hispanic White survivors. Design, Setting, and Participants This cross-sectional study analyzed National Institutes of Health All of Us Research Program data. Participants were Asian American and non-Hispanic White adults with an electronic health record–confirmed malignant neoplasm diagnosed before completing financial toxicity surveys. Surveys were completed between June 2018 and December 2024; analyses concluded July 2026. Exposures Self-reported Asian and non-Hispanic White race; self-reported Chinese, Filipino, Indian or Pakistani, Japanese, Korean, and Vietnamese ethnicity. Main Outcomes and Measures Three financial toxicity domains were assessed: cost-related nonadherence, foregone medical care, and financial worry. Adjusted odds ratios (AORs) were estimated using multivariable logistic regression adjusting for clinical covariates, with sequential adjustment for socioeconomic factors and nativity. Results The cohort included 55 511 survivors (median [IQR] age, 66.0 [56.0-73.0] years): 54 230 (97.7%) non-Hispanic White and 1281 (2.3%) Asian American individuals. Overall, 27 316 (49.2%) experienced at least 1 financial toxicity domain. In the clinical baseline model, Chinese survivors had lower odds of cost-related nonadherence than non-Hispanic White survivors (AOR, 0.68; 95% CI, 0.53-0.88). Vietnamese (AOR, 2.15; 95% CI, 1.30-3.56), Filipino (AOR, 1.58; 95% CI, 1.22-2.07), and Japanese (AOR, 1.44; 95% CI, 1.10-1.89) survivors had higher odds of financial worry than non-Hispanic White survivors. In aggregate, Asian American identity was associated with lower cost-related nonadherence odds (AOR, 0.79; 95% CI, 0.69-0.92) and higher financial worry odds (AOR, 1.31; 95% CI, 1.16-1.47). Worry associations attenuated after nativity adjustment. Conclusions and Relevance In this cross-sectional study, disaggregation revealed heterogeneity in financial toxicity across Asian American subgroups, which was obscured by panethnic classification. Elevated financial worry may reflect immigration factors and US wealth accumulation rather than income alone. Disaggregated data are needed to effectively target financial navigation.

Authors

Institutions

Publication Details

Journal
JAMA Network Open
Published
2026-09-30
DOI
https://doi.org/10.1001/jamanetworkopen.2026.37071
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Financial Toxicity Among Disaggregated Asian American Cancer Survivors

Kaitlyn Lapen, Advait Thaploo, Fumiko Chino, Edward Christopher Dee
JAMA Network Open
Economic and Financial Impacts of Cancer
article

Financial Toxicity Among Disaggregated Asian American Cancer Survivors

Kaitlyn Lapen, Advait Thaploo, Fumiko Chino, Edward Christopher Dee
article en

Abstract

Importance Panethnic categorization of Asian American individuals masks sociodemographic diversity. Whether this aggregation obscures heterogeneity in cancer-related financial toxicity remains unknown due to a lack of disaggregated data. Objective To evaluate associations between disaggregated Asian American identity and financial toxicity among cancer survivors compared with non-Hispanic White survivors. Design, Setting, and Participants This cross-sectional study analyzed National Institutes of Health All of Us Research Program data. Participants were Asian American and non-Hispanic White adults with an electronic health record–confirmed malignant neoplasm diagnosed before completing financial toxicity surveys. Surveys were completed between June 2018 and December 2024; analyses concluded July 2026. Exposures Self-reported Asian and non-Hispanic White race; self-reported Chinese, Filipino, Indian or Pakistani, Japanese, Korean, and Vietnamese ethnicity. Main Outcomes and Measures Three financial toxicity domains were assessed: cost-related nonadherence, foregone medical care, and financial worry. Adjusted odds ratios (AORs) were estimated using multivariable logistic regression adjusting for clinical covariates, with sequential adjustment for socioeconomic factors and nativity. Results The cohort included 55 511 survivors (median [IQR] age, 66.0 [56.0-73.0] years): 54 230 (97.7%) non-Hispanic White and 1281 (2.3%) Asian American individuals. Overall, 27 316 (49.2%) experienced at least 1 financial toxicity domain. In the clinical baseline model, Chinese survivors had lower odds of cost-related nonadherence than non-Hispanic White survivors (AOR, 0.68; 95% CI, 0.53-0.88). Vietnamese (AOR, 2.15; 95% CI, 1.30-3.56), Filipino (AOR, 1.58; 95% CI, 1.22-2.07), and Japanese (AOR, 1.44; 95% CI, 1.10-1.89) survivors had higher odds of financial worry than non-Hispanic White survivors. In aggregate, Asian American identity was associated with lower cost-related nonadherence odds (AOR, 0.79; 95% CI, 0.69-0.92) and higher financial worry odds (AOR, 1.31; 95% CI, 1.16-1.47). Worry associations attenuated after nativity adjustment. Conclusions and Relevance In this cross-sectional study, disaggregation revealed heterogeneity in financial toxicity across Asian American subgroups, which was obscured by panethnic classification. Elevated financial worry may reflect immigration factors and US wealth accumulation rather than income alone. Disaggregated data are needed to effectively target financial navigation.

JAMA Network OpenVol. 9(9)
Memorial Sloan Kettering Cancer Center (US), The University of Texas MD Anderson Cancer Center (US), University of Pennsylvania (US)
Openalex Percentile: Top 5%
Economic and Financial Impacts of Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.