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Impact of the modifiable areal unit problem in assessing determinants of emergency department demand.
Kok, Mei Ruu; Tuson, Matthew; Yap, Matthew; Turlach, Berwin; Boruff, Bryan; Vickery, Alistair; Whyatt, David.
Afiliação
  • Kok MR; Division of General Practice, Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia.
  • Tuson M; Division of General Practice, Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia.
  • Yap M; Department of Mathematics and Statistics, Faculty of Engineering and Mathematical Sciences, The University of Western Australia, Perth, Western Australia, Australia.
  • Turlach B; Division of General Practice, Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia.
  • Boruff B; Department of Mathematics and Statistics, Faculty of Engineering and Mathematical Sciences, The University of Western Australia, Perth, Western Australia, Australia.
  • Vickery A; Department of Geography, Faculty of Arts, Business, Law and Education, The University of Western Australia, Perth, Western Australia, Australia.
  • Whyatt D; UWA School of Agriculture and Environment, Faculty of Science, The University of Western Australia, Perth, Western Australia, Australia.
Emerg Med Australas ; 33(5): 794-802, 2021 10.
Article em En | MEDLINE | ID: mdl-33517585
ABSTRACT

OBJECTIVE:

To examine the impact of the modifiable areal unit problem (MAUP) in an investigation of factors associated with ED demand in Perth, Western Australia, in 2016. Furthermore, to advocate a means of avoiding this impact.

METHODS:

ED presentations were classified as urgent medical, non-urgent medical, urgent trauma or non-urgent trauma. In each group, sex-stratified, age-adjusted multivariate associations with socio-economic status and distance to the nearest ED and general practitioner (GP) were estimated. Modelling was undertaken using different sets of spatial units Australian Bureau of Statistics (ABS) Statistical Areas Level 1 (SA1s) and numerous aggregate-level zonations of SA1s (ABS SA2s and others).

RESULTS:

Estimates obtained using the different units often varied widely for seven (30%) of 24 strata defined by combinations of sex, ED type and covariate, the smallest and largest effect sizes differed in terms of direction; further, for 11 (65%) of the remaining 17 strata, the largest effect size was at least twice as high as the smallest. This demonstrates the MAUP's impact and that analyses based on a single set of spatial units are unreliable. To resolve the observed variation, we highlight the SA1-level estimates.

CONCLUSIONS:

When formulating interventions targeting reduced ED utilisation, policy planners should be guided by evidence based on analysis of appropriate spatial units. This ideal is undermined by the widespread lack of acknowledgement of the MAUP in studies examining drivers of ED demand using spatially aggregated data. To avoid the MAUP, only estimates obtained through examining a minimal geographic unit should be relied upon.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Serviço Hospitalar de Emergência Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Revista: Emerg Med Australas Assunto da revista: MEDICINA DE EMERGENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Serviço Hospitalar de Emergência Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Revista: Emerg Med Australas Assunto da revista: MEDICINA DE EMERGENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália