Multisource Coherence Analysis of the First European Multicenter Cohort Study for Cancer Prevention in People Experiencing Homelessness: Data Quality Study.

ABSTRACT:

Background

Coherence across sites in multicenter datasets is one substantial data quality dimension for reliable health data reuse, as unexpected heterogeneity in data can lead to biases in data analyses and suboptimal generalization of results.

Objective

This work aims to characterize and label the data coherence across sites in the first European multicenter dataset for cancer prevention in people and early detection among the homeless population in Europe: coadapting and implementing the health navigator model. This dataset emerged to enable research to address disparities in health challenges and health care access due to barriers such as unstable housing, limited resources, and social stigma in people experiencing homelessness.

Methods

The dataset comprises 652 c

SUBMITTER: Blasco-Calafat A 

PROVIDER: S-EPMC12663700 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature