Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia.
Heart Lung Circ
; 33(7): 1046-1049, 2024 Jul.
Article
en En
| MEDLINE
| ID: mdl-38458934
ABSTRACT
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 first-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 from all-cause fields in death registers.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Accidente Cerebrovascular
Límite:
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
Oceania
Idioma:
En
Revista:
Heart Lung Circ
Asunto de la revista:
ANGIOLOGIA
/
CARDIOLOGIA
Año:
2024
Tipo del documento:
Article