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

• DOI: 10.1016/j.hlc.2024.01.020
• Publication Date: 2024-03-07T13:04:36Z
• Authors: Anna H. Balabanski; Lee Nedkoff; Amanda G. Thrift; Timothy J. Kleinig; Alex Brown; Odette Pearson; Steven Guthridge; Angela Dos Santos; Judith M. Katzene...
• Keywords: Stroke

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