Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease

a challenge for global surveillance

Judith M. Katzenellenbogen, Lee Nedkoff, Jeffrey Cannon, Deborah Kruger, Filippa Pretty, Jonathan R. Carapetis, Karen E. Dempsey, Jess De Dassel, Mellise Anderson, Nicholas de Klerk, Joseph Hung

Research output: Contribution to journalArticleResearchpeer-review

Abstract

International Classification of Diseases, 10th Revision codes for rheumatic heart disease (RHD) include valvular heart disease of unspecified origin, limiting their usefulness for estimating RHD burden. A cross-disciplinary national consultation developed an algorithm to improve RHD identification in hospital data. The algorithm has been operationalised and piloted. The algorithm developed categorised 32% of RHD-coded patients as probable/possible RHD. We outline a series of research initiatives to improve identification of RHD in administrative data thereby contributing to monitoring the RHD burden globally.

Original languageEnglish
Pages (from-to)400-403
Number of pages4
JournalInternal Medicine Journal
Volume49
Issue number3
DOIs
Publication statusPublished - 21 Mar 2019

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Rheumatic Heart Disease
International Classification of Diseases
Heart Valve Diseases
Referral and Consultation
Research

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Katzenellenbogen, Judith M. ; Nedkoff, Lee ; Cannon, Jeffrey ; Kruger, Deborah ; Pretty, Filippa ; Carapetis, Jonathan R. ; Dempsey, Karen E. ; De Dassel, Jess ; Anderson, Mellise ; de Klerk, Nicholas ; Hung, Joseph. / Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease : a challenge for global surveillance. In: Internal Medicine Journal. 2019 ; Vol. 49, No. 3. pp. 400-403.
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abstract = "International Classification of Diseases, 10th Revision codes for rheumatic heart disease (RHD) include valvular heart disease of unspecified origin, limiting their usefulness for estimating RHD burden. A cross-disciplinary national consultation developed an algorithm to improve RHD identification in hospital data. The algorithm has been operationalised and piloted. The algorithm developed categorised 32{\%} of RHD-coded patients as probable/possible RHD. We outline a series of research initiatives to improve identification of RHD in administrative data thereby contributing to monitoring the RHD burden globally.",
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Katzenellenbogen, JM, Nedkoff, L, Cannon, J, Kruger, D, Pretty, F, Carapetis, JR, Dempsey, KE, De Dassel, J, Anderson, M, de Klerk, N & Hung, J 2019, 'Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease: a challenge for global surveillance', Internal Medicine Journal, vol. 49, no. 3, pp. 400-403. https://doi.org/10.1111/imj.14221

Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease : a challenge for global surveillance. / Katzenellenbogen, Judith M.; Nedkoff, Lee; Cannon, Jeffrey; Kruger, Deborah; Pretty, Filippa; Carapetis, Jonathan R.; Dempsey, Karen E.; De Dassel, Jess; Anderson, Mellise; de Klerk, Nicholas; Hung, Joseph.

In: Internal Medicine Journal, Vol. 49, No. 3, 21.03.2019, p. 400-403.

Research output: Contribution to journalArticleResearchpeer-review

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