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Dataset Information

Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors.


ABSTRACT:

Purpose

We aimed to identify health-related quality of life (HRQOL) latent classes among primary central nervous system tumor (PCNST) long-term survivors (LTS) and to evaluate differences between classes in survivor sociodemographic characteristics, clinical characteristics, and symptoms to guide  the development of survivorship care programs tailored to unique class needs.

Methods

Data from 298 PCNST LTS reporting HRQOL on the EQ-5D-3L were analyzed using latent profile analysis. Correlations and independent group t-tests were performed to identify differences between identified HRQOL classes by sociodemographic, clinical characteristics, and symptoms.

Results

Sample mean age was 48 years, 54% were male, 82% Caucasian, 56% employed, 60% had a high-grade glioma, and 5

SUBMITTER: Stockdill ML 

PROVIDER: S-EPMC10638191 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature