The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study

被引:0
|
作者
Butters, Alexandra [1 ,2 ,3 ]
Blanch, Bianca [4 ]
Kemp-Casey, Anna [5 ]
Do, Judy [1 ,2 ]
Yeates, Laura [1 ,2 ,3 ,4 ,6 ]
Leslie, Felicity [1 ,2 ]
Semsarian, Christopher [3 ,4 ,6 ]
Nedkoff, Lee [7 ,8 ]
Briffa, Tom [7 ]
Ingles, Jodie [1 ,2 ,6 ]
Sweeting, Joanna [1 ,2 ,9 ]
机构
[1] Garvan Inst Med Res, Ctr Populat Genom, Clin Genom Lab, Darlinghurst, Australia
[2] Murdoch Childrens Res Inst, Ctr Populat Genom, Clin Genom Lab, Melbourne, Australia
[3] Univ Sydney, Fac Med & Hlth, Sydney, Australia
[4] Univ Sydney, Centenary Inst, Agnes Ginges Ctr Mol Cardiol, Sydney, Australia
[5] Univ South Australia, Clin & Hlth Sci, Adelaide, Australia
[6] Royal Prince Alfred Hosp, Dept Cardiol, Sydney, Australia
[7] Univ Western Australia, Sch Populat & Global Hlth, Perth, Australia
[8] Victor Change Cardiac Res Inst, Sydney, Australia
[9] Garvan Inst Med Res, Ctr Populat Genom, Clin Genom Lab, 384 Victoria St, Darlinghurst 2010, Australia
来源
JMIR RESEARCH PROTOCOLS | 2023年 / 12卷
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
data linkage; genetic heart diseases; health care use; cardiomyopathies; arrhythmia; cardiology; heart; genetics; registry; registries; risk; mortality; national; big data; harmonization; probabilistic matching; SUDDEN CARDIAC DEATH; MYOCARDIAL-INFARCTION; POSTMORTEM ANALYSIS; CARE; HEALTH; PATTERNS; FAILURE; AGREEMENT; OUTCOMES; ICD;
D O I
10.2023/1/e48636
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Genetic heart diseases such as hypertrophic cardiomyopathy can cause significant morbidity and mortality, ranging from syncope, chest pain, and palpitations to heart failure and sudden cardiac death. These diseases are inherited in an autosomal dominant fashion, meaning family members of affected individuals have a 1 in 2 chance of also inheriting the disease ("at-risk relatives"). The health care use patterns of individuals with a genetic heart disease, including emergency department presentations and hospital admissions, are poorly understood. By linking genetic heart disease registry data to routinely collected health data, we aim to provide a more comprehensive clinical data set to examine the burden of disease on individuals, families, and health care systems.Objective: The objective of this study is to link the Australian Genetic Heart Disease (AGHD) Registry with routinely collected whole-population health data sets to investigate the health care use of individuals with a genetic heart disease and their at-risk relatives. This linked data set will allow for the investigation of differences in outcomes and health care use due to disease, sex, socioeconomic status, and other factors.Methods: The AGHD Registry is a nationwide data set that began in 2007 and aims to recruit individuals with a genetic heart disease and their family members. In this study, demographic, clinical, and genetic data (available from 2007 to 2019) for AGHD Registry participants and at-risk relatives residing in New South Wales (NSW), Australia, were linked to routinely collected health data. These data included NSW-based data sets covering hospitalizations (2001-2019), emergency department presentations (2005-2019), and both state-wide and national mortality registries (2007-2019). The linkage was performed by the Centre for Health Record Linkage. Investigations stratifying by diagnosis, age, sex, socioeconomic status, and gene status will be undertaken and reported using descriptive statistics. Results: NSW AGHD Registry participants were linked to routinely collected health data sets using probabilistic matching (November 2019). Of 1720 AGHD Registry participants, 1384 had linkages with 11,610 hospital records, 7032 emergency department records, and 60 death records. Data assessment and harmonization were performed, and descriptive data analysis is underway.Conclusions: We intend to provide insights into the health care use patterns of individuals with a genetic heart disease and their at-risk relatives, including frequency of hospital admissions and differences due to factors such as disease, sex, and socioeconomic status. Identifying disparities and potential barriers to care may highlight specific health care needs (eg, between sexes) and factors impacting health care access and use.
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页数:11
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