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

Intern Med J. 2019 Mar;49(3):400-403. doi: 10.1111/imj.14221.

Authors

Affiliations

¹ School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
² Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia.
³ National Centre for Classification in Health, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia.
⁴ Perth Children's Hospital, Perth, Western Australia, Australia.
⁵ Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
⁶ Cairns and Hinterland Hospital and Health Service, Cairns, Queensland, Australia.
⁷ Medical School, The University of Western Australia, Perth, Western Australia, Australia.

PMID: 30897668
DOI: 10.1111/imj.14221

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.

MeSH terms

Algorithms
Epidemiological Monitoring*
Global Health
Humans
International Classification of Diseases*
Predictive Value of Tests
Rheumatic Heart Disease / classification*
Rheumatic Heart Disease / diagnosis*
Rheumatic Heart Disease / epidemiology

Abstract

MeSH terms

Grants and funding