Imperial College London
Alternate

ProfessorPeterWhite

Faculty of Medicine, School of Public Health

Professor of Public Health Modelling
 
 
 
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Contact

 

p.white Website

 
 
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Location

 

Praed StreetSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Green:2019:10.1038/s41598-019-43521-y,
author = {Green, N and Sherrard-Smith, E and Tanton, C and Sonnenberg, P and Mercer, C and White, P},
doi = {10.1038/s41598-019-43521-y},
journal = {Scientific Reports},
title = {Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics},
url = {http://dx.doi.org/10.1038/s41598-019-43521-y},
volume = {9},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Reducing health inequalities requires improved understanding of the causes of variation. Local-level variation reflects differences in local population characteristics and health system performance. Identifying low- and high-performing localities allows investigation into these differences. We used Multilevel Regression with Post-stratification (MRP) to synthesise data from multiple sources, using chlamydia testing as our example. We used national probability survey data to identify individual-level characteristics associated with chlamydia testing and combined this with local-level census data to calculate expected levels of testing in each local authority (LA) in England, allowing us to identify LAs where observed chlamydia testing rates were lower or higher than expected, given population characteristics. Taking account of multiple covariates, including age, sex, ethnicity, student and cohabiting status, 5.4% and 3.5% of LAs had testing rates higher than expected for 95% and 99% posterior credible intervals, respectively; 60.9% and 50.8% had rates lower than expected. Residual differences between observed and MRP expected values were smallest for LAs with large proportions of non-white ethnic populations. London boroughs that were markedly different from expected MRP values (90% posterior exceedance probability) had actively targeted risk groups. This type of synthesis allows more refined inferences to be made at small-area levels than previously feasible.
AU  - Green,N
AU  - Sherrard-Smith,E
AU  - Tanton,C
AU  - Sonnenberg,P
AU  - Mercer,C
AU  - White,P
DO  - 10.1038/s41598-019-43521-y
PY  - 2019///
SN  - 2045-2322
TI  - Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics
T2  - Scientific Reports
UR  - http://dx.doi.org/10.1038/s41598-019-43521-y
UR  - https://www.imperial.ac.uk/people/nathan.green
UR  - http://hdl.handle.net/10044/1/70264
VL  - 9
ER  -
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