Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends

Abstract Objective: To describe the epidemiology of hospitalisations due to acute rheumatic fever (ARF) and rheumatic heart disease (RHD) in the Kimberley region of Western Australia (WA) and use these data to improve completeness of the WA RHD Register. Methods: Retrospective analysis of Kimberley...

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Main Authors: Jacqueline Murdoch, Stephanie Davis, Janice Forrester, Lynette Masuda, Carole Reeve
Format: Article
Language:English
Published: Wiley 2015-02-01
Series:Australian and New Zealand Journal of Public Health
Subjects:
Online Access:https://doi.org/10.1111/1753-6405.12240
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spelling doaj-78059eac754c42a4a5e470e81d39bba22020-11-24T21:32:46ZengWileyAustralian and New Zealand Journal of Public Health1326-02001753-64052015-02-01391384310.1111/1753-6405.12240Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trendsJacqueline Murdoch0Stephanie Davis1Janice Forrester2Lynette Masuda3Carole Reeve4Kimberley Population Health Unit Western AustraliaNational Centre for Epidemiology and Public Health, Australian National University, Australian Capital TerritoryWA Rheumatic Heart Disease Control Program and Register Western AustraliaWA Rheumatic Heart Disease Control Program and Register Western AustraliaKimberley Population Health Unit Western AustraliaAbstract Objective: To describe the epidemiology of hospitalisations due to acute rheumatic fever (ARF) and rheumatic heart disease (RHD) in the Kimberley region of Western Australia (WA) and use these data to improve completeness of the WA RHD Register. Methods: Retrospective analysis of Kimberley regional hospitalisation data for hospitalisations coded as ARF/RHD from 01/07/2002 to 30/06/2012, with individual follow‐up of those not on the register. Annual age‐standardised hospitalisation rates were calculated to determine hospitalisation trend. Results: There were 250 admissions among 193 individuals. Of these, 53 individuals (27%) with confirmed or probable ARF/RHD were not on the register. Males were less likely to be on the register (62% versus 79% of females, p<0.01), as were those hospitalised with ARF without heart involvement (68% versus 87% of other ARF diagnoses, p<0.01). ARF/RHD hospitalisation rates decreased by 8.8% per year (p<0.001, rate ratio = 0.91, 95%CI 0.87–0.96). Conclusions and implications: Using hospitalisation data is an effective method of identifying cases of ARF/RHD not currently on the register. This process could be undertaken for initial case finding in areas with newly established registers, or as regular quality assurance in areas with established register‐based programs. Reasons for the observed decrease in hospitalisation rates remain unclear and warrant further investigation.https://doi.org/10.1111/1753-6405.12240Acute rheumatic feverrheumatic heart diseaseAboriginal health
collection DOAJ
language English
format Article
sources DOAJ
author Jacqueline Murdoch
Stephanie Davis
Janice Forrester
Lynette Masuda
Carole Reeve
spellingShingle Jacqueline Murdoch
Stephanie Davis
Janice Forrester
Lynette Masuda
Carole Reeve
Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
Australian and New Zealand Journal of Public Health
Acute rheumatic fever
rheumatic heart disease
Aboriginal health
author_facet Jacqueline Murdoch
Stephanie Davis
Janice Forrester
Lynette Masuda
Carole Reeve
author_sort Jacqueline Murdoch
title Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
title_short Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
title_full Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
title_fullStr Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
title_full_unstemmed Acute rheumatic fever and rheumatic heart disease in the Kimberley: using hospitalisation data to find cases and describe trends
title_sort acute rheumatic fever and rheumatic heart disease in the kimberley: using hospitalisation data to find cases and describe trends
publisher Wiley
series Australian and New Zealand Journal of Public Health
issn 1326-0200
1753-6405
publishDate 2015-02-01
description Abstract Objective: To describe the epidemiology of hospitalisations due to acute rheumatic fever (ARF) and rheumatic heart disease (RHD) in the Kimberley region of Western Australia (WA) and use these data to improve completeness of the WA RHD Register. Methods: Retrospective analysis of Kimberley regional hospitalisation data for hospitalisations coded as ARF/RHD from 01/07/2002 to 30/06/2012, with individual follow‐up of those not on the register. Annual age‐standardised hospitalisation rates were calculated to determine hospitalisation trend. Results: There were 250 admissions among 193 individuals. Of these, 53 individuals (27%) with confirmed or probable ARF/RHD were not on the register. Males were less likely to be on the register (62% versus 79% of females, p<0.01), as were those hospitalised with ARF without heart involvement (68% versus 87% of other ARF diagnoses, p<0.01). ARF/RHD hospitalisation rates decreased by 8.8% per year (p<0.001, rate ratio = 0.91, 95%CI 0.87–0.96). Conclusions and implications: Using hospitalisation data is an effective method of identifying cases of ARF/RHD not currently on the register. This process could be undertaken for initial case finding in areas with newly established registers, or as regular quality assurance in areas with established register‐based programs. Reasons for the observed decrease in hospitalisation rates remain unclear and warrant further investigation.
topic Acute rheumatic fever
rheumatic heart disease
Aboriginal health
url https://doi.org/10.1111/1753-6405.12240
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