A population-based study to develop juvenile arthritis case definitions for administrative health data using model-based dynamic classification.

ABSTRACT:

Background

Previous research has shown that chronic disease case definitions constructed using population-based administrative health data may have low accuracy for ascertaining cases of episodic diseases such as rheumatoid arthritis, which are characterized by periods of good health followed by periods of illness. No studies have considered a dynamic approach that uses statistical (i.e., probability) models for repeated measures data to classify individuals into disease, non-disease, and indeterminate categories as an alternative to deterministic (i.e., non-probability) methods that use summary data for case ascertainment. The research objectives were to validate a model-based dynamic classification approach for ascertaining cases of juvenile arthritis (JA) from administrative dat

SUBMITTER: Feely A 

PROVIDER: S-EPMC8127203 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature