Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia

Anna H. Balabanski; Lee Nedkoff; Amanda G. Thrift; Timothy J. Kleinig; Alex Brown; Odette Pearson; Steven Guthridge; Angela Dos Santos; Judith M. Katzenellenbogen

doi:10.1016/j.hlc.2024.01.020

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Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia

Journal article

Open access

Peer reviewed

Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia

Anna H. Balabanski, Lee Nedkoff, Amanda G. Thrift, Timothy J. Kleinig, Alex Brown, Odette Pearson, Steven Guthridge, Angela Dos Santos and Judith M. Katzenellenbogen

Heart, lung & circulation, Vol.33(7), pp.1046-1049

2024

DOI: https://doi.org/10.1016/j.hlc.2024.01.020

PMID: 38458934

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Abstract

Cardiac & Cardiovascular Systems

Cardiovascular System & Cardiology

Life Sciences & Biomedicine

Science & Technology

Background and Aim Quantifying stroke incidence and mortality is crucial for disease surveillance and health system planning. Administrative data offer a cost-effective alternative to "gold standard" population-based studies. However, the optimal methodology for establishing stroke deaths from administrative data remains unclear. We aimed to determine the optimal method for identifying stroke-related deaths in administrative datasets as the fatal component of stroke incidence, comparing counts derived using underlying and all causes of death (CoD). Method Using whole-population multijurisdictional person-level linked data from hospital and death datasets from South Australia, the Northern Territory, and Western Australia, we identified fi ed fi rst-ever stroke events between 2012 and 2015, using underlying CoD and all CoD to identify fatal stroke counts. We determined the 28-day case fatality for both counts and compared results with gold standard Australian population-based stroke incidence studies. Results The total number of incident stroke events was 16,150 using underlying CoD and 18,074 using all CoD. Case fatality was 24.7% and 32.7% using underlying and all CoD, respectively. Case fatality using underlying CoD was similar to that observed in four Australian "gold standard" population-based studies (20%-24%). Conclusions Underlying CoD generates fatal incident stroke estimates more consistent with population-based studies than estimates based on stroke deaths identified fi ed from all-cause fi elds in death registers.

Details

Title: Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia
Authors/Creators: Anna H. Balabanski - Monash Health
Lee Nedkoff - The University of Western Australia
Amanda G. Thrift - Monash Health
Timothy J. Kleinig - Royal Adelaide Hospital
Alex Brown - South Australian Health and Medical Research Institute
Odette Pearson - South Australian Health and Medical Research Institute
Steven Guthridge - Charles Darwin University
Angela Dos Santos - UNSW Sydney
Judith M. Katzenellenbogen - The University of Western Australia
Publication Details: Heart, lung & circulation, Vol.33(7), pp.1046-1049
Publisher: Elsevier
Number of pages: 4
Grant note: 100603 / National Heart Foundation of Australia Vanguard Award; National Heart Foundation of Australia 1182071; 1169269; 1042600 / National Health and Medical Research Council; National Health & Medical Research Council (NHMRC) of Australia Heart Foundation
Identifiers: 991005884846807891
Murdoch Affiliation: Ngangk Yira Institute for Change
Language: English
Resource Type: Journal article

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