Use of clinical classifications software to address ICD coding transition in large healthcare databases analyzed via high‐dimensional propensity scores
Lai San Hong,
Xabier Garcia‐Albeniz,
David Friesen
et al.
Abstract:PurposeThe EUPAS26595 study characterized the rate of acute renal failure (ARF) in patients exposed to levetiracetam versus other antiepileptic drugs using healthcare claims data and a high‐dimensional propensity score (hd‐PS) for confounding adjustment. The data contained several coding systems by design and an update in International Classification of Diseases (ICD) coding dictionary. Such coding heterogeneity can affect the performance of hd‐PS, and manually coding harmonization is not feasible. Our objecti… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.