Shulman, H, Birkin, M and Clarke, GP (2015) A comparison of small-area hospitalisation rates, estimated morbidity and hospital access. Health & Place, 36. 134 - 144. ISSN 1353-8292
Abstract
Published data on hospitalisation rates tend to reveal marked spatial variations within a city or region. Such variations may simply reflect corresponding variations in need at the small-area level. However, they might also be a consequence of poorer accessibility to medical facilities for certain communities within the region. To help answer this question it is important to compare these variable hospitalisation rates with small-area estimates of need. This paper first maps hospitalisation rates at the small-area level across the region of Yorkshire in the UK to show the spatial variations present. Then the Health Survey of England is used to explore the characteristics of persons with heart disease, using chi-square and logistic regression analysis. Using the most significant variables from this analysis the authors build a spatial microsimulation model of morbidity for heart disease for the Yorkshire region. We then compare these estimates of need with the patterns of hospitalisation rates seen across the region.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Crown Copyright & 2015 Published by Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Health & Place. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Heart disease, hospitalisation rates, Health Survey of England, spatial microsimulation, morbidity estimates |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jan 2016 15:49 |
Last Modified: | 04 Nov 2017 11:43 |
Published Version: | http://dx.doi.org/10.1016/j.healthplace.2015.10.00... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.healthplace.2015.10.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:93270 |