Volume 49, Issue 3 pp. 400-403
Brief Communication

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

Corresponding Author

Judith M. Katzenellenbogen

School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia

Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia

Correspondence

Judith M. Katzenellenbogen, School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, Crawley, GPO Box U1987, Perth, WA 6009, Australia.

Email: [email protected]

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Lee Nedkoff

Lee Nedkoff

School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia

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Jeffrey Cannon

Jeffrey Cannon

Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia

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Deborah Kruger

Deborah Kruger

School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia

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Filippa Pretty

Filippa Pretty

National Centre for Classification in Health, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia

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Jonathan R. Carapetis

Jonathan R. Carapetis

Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia

Perth Children's Hospital, Perth, Western Australia, Australia

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Karen E. Dempsey

Karen E. Dempsey

Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia

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Jess De Dassel

Jess De Dassel

Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia

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Mellise Anderson

Mellise Anderson

Cairns and Hinterland Hospital and Health Service, Cairns, Queensland, Australia

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Nicholas de Klerk

Nicholas de Klerk

Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia

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Joseph Hung

Joseph Hung

Medical School, The University of Western Australia, Perth, Western Australia, Australia

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First published: 21 March 2019
Citations: 19
Funding: J. M. Katzenellenbogen is supported by a Heart Foundation of Australia Future Leader Fellowship. L. Nedkoff is supported by a National Health Medical Research Council of Australia Early Career Fellowship. J. Cannon, D. Kruger and J. De Dassel were/are supported by Australian Research Training Scheme Scholarships. The National Health Medical Research Council of Australia funded the End Rheumatic Heart Disease Centre for Research Excellence and project grant APP1146525.
Conflict of interest: None.
Access to computing code: Computer code/syntax in SAS is available on request from the corresponding author.

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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