Show simple item record

dc.contributor.authorValentine, JC
dc.contributor.authorWorth, LJ
dc.contributor.authorVerspoor, KM
dc.contributor.authorHall, L
dc.contributor.authorYeoh, DK
dc.contributor.authorThursky, KA
dc.contributor.authorClark, JE
dc.contributor.authorHaeusler, GM
dc.date.accessioned2020-11-17T03:38:18Z
dc.date.available2020-11-17T03:38:18Z
dc.date.issued2020-09-09
dc.identifierpii: PONE-D-20-16766
dc.identifier.citationValentine, J. C., Worth, L. J., Verspoor, K. M., Hall, L., Yeoh, D. K., Thursky, K. A., Clark, J. E. & Haeusler, G. M. (2020). Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients. PLOS ONE, 15 (9), https://doi.org/10.1371/journal.pone.0238889.
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11343/251565
dc.description.abstractBACKGROUND: 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 linked to the r-TERIFIC dataset. Sensitivity, positive predictive value (PPV) and the F1 scores of the ICD-10-AM codes were calculated. RESULTS: Of 1,671 evaluable patients, 113 (6.76%) had confirmed IFI diagnoses according to gold-standard criteria, while 114 (6.82%) cases were identified using the codes. Of the clinical IFI cases, 68 were in receipt of ≥1 ICD-10-AM code(s) for IFI, corresponding to an overall sensitivity, PPV and F1 score of 60%, respectively. Sensitivity was highest for proven IFI (77% [95% CI: 58-90]; F1 = 47%) and invasive candidiasis (83% [95% CI: 61-95]; F1 = 76%) and lowest for other/unspecified IFI (20% [95% CI: 5.05-72%]; F1 = 5.00%). The most frequent misclassification was coding of invasive aspergillosis as invasive candidiasis. CONCLUSION: ICD-10-AM codes demonstrate moderate sensitivity and PPV to detect IFI in children with cancer. However, specific subsets of proven IFI and invasive candidiasis (codes B37.x) are more accurately coded.
dc.languageEnglish
dc.publisherPUBLIC LIBRARY SCIENCE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleClassification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients
dc.typeJournal Article
dc.identifier.doi10.1371/journal.pone.0238889
melbourne.affiliation.departmentComputing and Information Systems
melbourne.affiliation.departmentSir Peter MacCallum Department of Oncology
melbourne.affiliation.departmentMedical Education
melbourne.affiliation.departmentInfectious Diseases
melbourne.affiliation.facultyEngineering and Information Technology
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titlePLoS One
melbourne.source.volume15
melbourne.source.issue9
dc.rights.licenseCC BY
melbourne.elementsid1464493
melbourne.contributor.authorHaeusler, Gabrielle
melbourne.contributor.authorThursky, Karin
melbourne.contributor.authorValentine, Jake
melbourne.contributor.authorVerspoor, Cornelia
melbourne.contributor.authorWorth, Leon
dc.identifier.eissn1932-6203
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record