A comparison of methods for calculating general practice level socioeconomic deprivation

<p>Abstract</p> <p>Background</p> <p>A measure of the socioeconomic deprivation experienced by the registered patient population of a general practice is of interest because it can be used to explore the association between deprivation and a wide range of other variable...

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Main Authors: Pearson Tim, Maheswaran Ravi, Strong Mark
Format: Article
Language:English
Published: BMC 2006-07-01
Series:International Journal of Health Geographics
Online Access:http://www.ij-healthgeographics.com/content/5/1/29
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spelling doaj-d90f5111d888466380fff6da2d34369a2020-11-25T00:51:32ZengBMCInternational Journal of Health Geographics1476-072X2006-07-01512910.1186/1476-072X-5-29A comparison of methods for calculating general practice level socioeconomic deprivationPearson TimMaheswaran RaviStrong Mark<p>Abstract</p> <p>Background</p> <p>A measure of the socioeconomic deprivation experienced by the registered patient population of a general practice is of interest because it can be used to explore the association between deprivation and a wide range of other variables measured at practice level. If patient level geographical data are available a population weighted mean area-based deprivation score can be calculated for each practice. In the absence of these data, an area-based deprivation score linked to the practice postcode can be used as an estimate of the socioeconomic deprivation of the practice population. This study explores the correlation between Index of Multiple Deprivation 2004 (IMD) scores linked to general practice postcodes (main surgery address alone and main surgery plus any branch surgeries), practice population weighted mean IMD scores, and practice level mortality (aged 1 to 75 years, all causes) for 38 practices in Rotherham UK.</p> <p>Results</p> <p>Population weighted deprivation scores correlated with practice postcode based scores (main surgery only, Pearson r = 0.74, 95% CI 0.54 to 0.85; main plus branch surgeries, r = 0.79, 95% CI 0.63 to 0.89). All cause mortality aged 1 to 75 correlated with deprivation (main surgery postcode based measure, r = 0.50, 95% CI 0.22 to 0.71; main plus branch surgery based score, r = 0.55, 95% CI 0.28 to 0.74); population weighted measure, r = 0.66, 95% CI 0.43 to 0.81).</p> <p>Conclusion</p> <p>Practice postcode linked IMD scores provide a valid proxy for a population weighted measure in the absence of patient level data. However, by using them, the strength of association between mortality and deprivation may be underestimated.</p> http://www.ij-healthgeographics.com/content/5/1/29
collection DOAJ
language English
format Article
sources DOAJ
author Pearson Tim
Maheswaran Ravi
Strong Mark
spellingShingle Pearson Tim
Maheswaran Ravi
Strong Mark
A comparison of methods for calculating general practice level socioeconomic deprivation
International Journal of Health Geographics
author_facet Pearson Tim
Maheswaran Ravi
Strong Mark
author_sort Pearson Tim
title A comparison of methods for calculating general practice level socioeconomic deprivation
title_short A comparison of methods for calculating general practice level socioeconomic deprivation
title_full A comparison of methods for calculating general practice level socioeconomic deprivation
title_fullStr A comparison of methods for calculating general practice level socioeconomic deprivation
title_full_unstemmed A comparison of methods for calculating general practice level socioeconomic deprivation
title_sort comparison of methods for calculating general practice level socioeconomic deprivation
publisher BMC
series International Journal of Health Geographics
issn 1476-072X
publishDate 2006-07-01
description <p>Abstract</p> <p>Background</p> <p>A measure of the socioeconomic deprivation experienced by the registered patient population of a general practice is of interest because it can be used to explore the association between deprivation and a wide range of other variables measured at practice level. If patient level geographical data are available a population weighted mean area-based deprivation score can be calculated for each practice. In the absence of these data, an area-based deprivation score linked to the practice postcode can be used as an estimate of the socioeconomic deprivation of the practice population. This study explores the correlation between Index of Multiple Deprivation 2004 (IMD) scores linked to general practice postcodes (main surgery address alone and main surgery plus any branch surgeries), practice population weighted mean IMD scores, and practice level mortality (aged 1 to 75 years, all causes) for 38 practices in Rotherham UK.</p> <p>Results</p> <p>Population weighted deprivation scores correlated with practice postcode based scores (main surgery only, Pearson r = 0.74, 95% CI 0.54 to 0.85; main plus branch surgeries, r = 0.79, 95% CI 0.63 to 0.89). All cause mortality aged 1 to 75 correlated with deprivation (main surgery postcode based measure, r = 0.50, 95% CI 0.22 to 0.71; main plus branch surgery based score, r = 0.55, 95% CI 0.28 to 0.74); population weighted measure, r = 0.66, 95% CI 0.43 to 0.81).</p> <p>Conclusion</p> <p>Practice postcode linked IMD scores provide a valid proxy for a population weighted measure in the absence of patient level data. However, by using them, the strength of association between mortality and deprivation may be underestimated.</p>
url http://www.ij-healthgeographics.com/content/5/1/29
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