Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities.

ABSTRACT:

Background

Patients with comorbidities do not receive optimal treatment for their cancer, leading to lower cancer survival. Information on individual comorbidities is not straightforward to derive from population-based administrative health datasets. We described the development of a reproducible algorithm to extract the individual Charlson index comorbidities from such data. We illustrated the algorithm with 1,789 laryngeal cancer patients diagnosed in England in 2013. We aimed to clearly set out and advocate the time-related assumptions specified in the algorithm by providing empirical evidence for them.

Methods

Comorbidities were assessed from hospital records in the ten years preceding cancer diagnosis and internal reliability of the hospital records was checked. Data we

SUBMITTER: Maringe C 

PROVIDER: S-EPMC5338773 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature