Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients.

ABSTRACT:

Background

Invasive fungal infection (IFI) detection requires application of complex case definitions by trained staff. Administrative coding data (ICD-10-AM) may provide a simplified method for IFI surveillance, but accuracy of case ascertainment in children with cancer is unknown.

Objective

To determine the classification performance of ICD-10-AM codes for detecting IFI using a gold-standard dataset (r-TERIFIC) of confirmed IFIs in paediatric cancer patients at a quaternary referral centre (Royal Children's Hospital) in Victoria, Australia from 1st April 2004 to 31st December 2013.

Methods

ICD-10-AM codes denoting IFI in paediatric patients (<18-years) with haematologic or solid tumour malignancies were extracted from the Victorian Admitted Episodes Dataset and link

SUBMITTER: Valentine JC 

PROVIDER: S-EPMC7480858 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature