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Data · dataset · 2019

Factors contributing to COPD hospitalisations from 2010 to 2015: Variation among rural and metropolitan Australians

Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.26187/deakin.34029747

Introduction: Rural and remote populations experience the greatest burden of chronic obstructive pulmonary disease (COPD), the fifth leading cause of death in Australia.

Description

Currently there is a need to prioritise health services to improve health outcomes among those at higher risk of COPD. Objectives: To investigate the differences in COPD hospitalisation between rural and urban populations and determine predictive factors contributing to COPD hospitalisation.

Methods

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Statewide hospitalisation data from 2010 to 2015 were obtained through the Victorian Admitted Episodes Dataset and other key data sets. The rates of hospitalisation were analysed using hierarchical multiple regression to examine the association between COPD hospitalisations and a number of predictor variables. Results: The highest COPD incidence occurred in metropolitan males aged 85 years of age and older (35.092 hospitalisations per 1000 population).

Among metropolitan residents, smoking, population density and household income had a significant association with COPD hospitalisations for both sexes. Among rural males, smoking rates, household income and rural land use (farming) were significant predictors of COPD hospitalisations. There was an overall stability in statewide COPD hospitalisation over the 5 years to 2015, P = 0.420.

Conclusion: This investigation highlights many rural and regional areas have much lower COPD hospitalisation rates than metropolitan areas. Between males and females, there are heterogenetic factors that contribute to the significant variation associated with COPD hospitalisation in metropolitan and rural areas, such as rural land use among rural males. This indicates that risk factor assessments, beyond smoking alone, need to be individualised and prioritised in practice to optimise care.<p></p>

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75%
Provenance · 2 source records, 26 field assertions
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ZivaHuboai:figshare.com:article/3402974710 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3402974710 d agoJSON v1
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