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The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study
Alexandra Butters1,2,3, Bianca Blanch4, Anna Kemp-Casey5
1Clinical Genomics Laboratory, Centre for Population Genomics, Garvan Institute of Medical Research, Darlinghurst, Australia.
Insights
This study links genetic heart disease registry data with health records to understand patient and family healthcare use. Findings will reveal disparities in care for genetic heart conditions.
Area of Science:
- Cardiovascular Medicine
- Genetics
- Public Health
Background:
- Genetic heart diseases, like hypertrophic cardiomyopathy, cause significant morbidity and mortality.
- These autosomal dominant conditions affect 1 in 2 family members, termed at-risk relatives.
- Understanding healthcare utilization patterns for these individuals and families is crucial.
Purpose of the Study:
- To link the Australian Genetic Heart Disease (AGHD) Registry with population health data.
- To investigate healthcare use (hospitalizations, ED visits) in individuals with genetic heart disease and at-risk relatives.
- To identify disparities in outcomes based on disease, sex, socioeconomic status, and gene status.
Main Methods:
- Linked Australian Genetic Heart Disease (AGHD) Registry data (2007-2019) with NSW health datasets (hospitalizations, ED, mortality).
- Utilized probabilistic matching for data linkage.
- Planned descriptive statistical analysis stratified by diagnosis, age, sex, socioeconomic status, and gene status.
Main Results:
- Successfully linked 1384 AGHD Registry participants to extensive health records.
- Achieved linkage with 11,610 hospital records, 7,032 emergency department records, and 60 death records.
- Data assessment and harmonization completed; descriptive analysis is ongoing.
Conclusions:
- The study will provide insights into healthcare use patterns for genetic heart disease patients and relatives.
- It aims to identify disparities and barriers to care, highlighting specific health needs.
- Findings may reveal differences in healthcare access and utilization between sexes and socioeconomic groups.
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.
International Registered Report Identifier (Irrid):
DERR1-10.2196/48636.
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