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Examining the Association Between Equity-Related Factors and EQ-5D-3L Health Utilities of Patients with Cancer.


ABSTRACT:

Background

EQ-5D-3L health utilities inform health technology assessments in oncology, often derived from clinical trials enrolling highly selected populations, which may over-estimate real-world health utilities. Little is known about the association between socioeconomic status (SES) and EQ-5D-3L health utilities. Our objective was to examine EQ-5D-3L health utilities across SES in a real-world sample of patients with cancer.

Methods

We conducted a cross-sectional analysis of EQ-5D-3L responses from 170 adult patients with cancer accrued from an Ontario oncology centre. We fitted multivariable linear regression models to estimate associations between covariates and EQ-5D-3L health utilities.

Results

Lower EQ-5D-3L health utilities were significantly associated with the lowest and undisclosed family income categories in models with and without birth sex (p < 0.05). In the model including birth sex, disutility estimates for lowest family income (ConclusionsLower EQ-5D-3L health utilities were significantly associated with low income and nondisclosure, highlighting the need to incorporate SES in analyzing health utilities in cancer care.

SUBMITTER: Tsui TCO 

PROVIDER: S-EPMC12651012 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature

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Publications

Examining the Association Between Equity-Related Factors and EQ-5D-3L Health Utilities of Patients with Cancer.

Tsui Teresa C O TCO   Mercer Rebecca E RE   Pullenayegum Eleanor M EM   Chan Kelvin K W KKW  

Current oncology (Toronto, Ont.) 20251119 11


<h4>Background</h4>EQ-5D-3L health utilities inform health technology assessments in oncology, often derived from clinical trials enrolling highly selected populations, which may over-estimate real-world health utilities. Little is known about the association between socioeconomic status (SES) and EQ-5D-3L health utilities. Our objective was to examine EQ-5D-3L health utilities across SES in a real-world sample of patients with cancer.<h4>Methods</h4>We conducted a cross-sectional analysis of EQ  ...[more]

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