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.

JMIR Research Protocols
|September 20, 2023
PubMed

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.
Abstract

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