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

doi: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

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

Menzies School of Health Research

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	400-403
Number of pages	4
Journal	Internal Medicine Journal
Volume	49
Issue number	3
DOIs	https://doi.org/10.1111/imj.14221
Publication status	Published - 21 Mar 2019

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10.1111/imj.14221

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Katzenellenbogen, J. M., Nedkoff, L., Cannon, J., Kruger, D., Pretty, F., Carapetis, J. R., Dempsey, K. E., 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, 49(3), 400-403. https://doi.org/10.1111/imj.14221

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title = "Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease: a challenge for global surveillance",

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.",

keywords = "ICD-10, monitoring, rheumatic heart disease",

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

year = "2019",

month = mar,

day = "21",

doi = "10.1111/imj.14221",

language = "English",

volume = "49",

pages = "400--403",

journal = "Internal Medicine Journal",

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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 et al.

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

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease

T2 - a challenge for global surveillance

AU - Katzenellenbogen, Judith M.

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AU - Cannon, Jeffrey

AU - Kruger, Deborah

AU - Pretty, Filippa

AU - Carapetis, Jonathan R.

AU - Dempsey, Karen E.

AU - De Dassel, Jess

AU - Anderson, Mellise

AU - de Klerk, Nicholas

AU - Hung, Joseph

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ER -

Low positive predictive value of International Classification of Diseases, 10th Revision codes in relation to rheumatic heart disease: a challenge for global surveillance

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