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Using record linkage to monitor equity and variation in screening programmes
BACKGROUND: Ecological or survey based methods to investigate screening uptake rates are fraught with many limitations which can be circumvented by record linkage between Census and health services datasets using variations in breast screening attendance as an exemplar. The aim of this current study...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416698/ https://www.ncbi.nlm.nih.gov/pubmed/22533666 http://dx.doi.org/10.1186/1471-2288-12-59 |
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author | O’Reilly, Dermot Kinnear, Heather Rosato, Michael Mairs, Adrian Hall, Clare |
author_facet | O’Reilly, Dermot Kinnear, Heather Rosato, Michael Mairs, Adrian Hall, Clare |
author_sort | O’Reilly, Dermot |
collection | PubMed |
description | BACKGROUND: Ecological or survey based methods to investigate screening uptake rates are fraught with many limitations which can be circumvented by record linkage between Census and health services datasets using variations in breast screening attendance as an exemplar. The aim of this current study is to identify the demographic, socio-economic factors associated with uptake of breast screening. METHODS: Record linkage study: combining 2001 Census data within the Northern Ireland Longitudinal Study (NILS) with data relating to validated breast screening histories from the National Breast Screening System. A cohort was identified of 37,059 women aged 48-64 at the Census who were invited for routine breast screening in the three years following the Census. All cohort attributes were as recorded on the Census form. RESULTS: The record linkage methodology enabled the records of almost 40,000 of those invited for screening to be analysed at an individual level, exceeding the largest published survey by a factor of ten. This produced a more robust analysis and demonstrated (in fully adjusted models) the lower uptake amongst non-married women and those in the lowest social class (OR 0.74; 95%CI 0.66, 0.82), factors that had not been reported earlier in the UK. In addition, with the availability of both individual and area information it was possible to show that the much lower screening uptake in urban areas is not due to differences in population composition suggesting unrecognised organisational problems. CONCLUSIONS: Linkage of screening data to Census-based longitudinal studies is an efficient and powerful way to increase the evidence base on sources of variation in screening uptake within the UK. |
format | Online Article Text |
id | pubmed-3416698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34166982012-08-11 Using record linkage to monitor equity and variation in screening programmes O’Reilly, Dermot Kinnear, Heather Rosato, Michael Mairs, Adrian Hall, Clare BMC Med Res Methodol Research Article BACKGROUND: Ecological or survey based methods to investigate screening uptake rates are fraught with many limitations which can be circumvented by record linkage between Census and health services datasets using variations in breast screening attendance as an exemplar. The aim of this current study is to identify the demographic, socio-economic factors associated with uptake of breast screening. METHODS: Record linkage study: combining 2001 Census data within the Northern Ireland Longitudinal Study (NILS) with data relating to validated breast screening histories from the National Breast Screening System. A cohort was identified of 37,059 women aged 48-64 at the Census who were invited for routine breast screening in the three years following the Census. All cohort attributes were as recorded on the Census form. RESULTS: The record linkage methodology enabled the records of almost 40,000 of those invited for screening to be analysed at an individual level, exceeding the largest published survey by a factor of ten. This produced a more robust analysis and demonstrated (in fully adjusted models) the lower uptake amongst non-married women and those in the lowest social class (OR 0.74; 95%CI 0.66, 0.82), factors that had not been reported earlier in the UK. In addition, with the availability of both individual and area information it was possible to show that the much lower screening uptake in urban areas is not due to differences in population composition suggesting unrecognised organisational problems. CONCLUSIONS: Linkage of screening data to Census-based longitudinal studies is an efficient and powerful way to increase the evidence base on sources of variation in screening uptake within the UK. BioMed Central 2012-04-25 /pmc/articles/PMC3416698/ /pubmed/22533666 http://dx.doi.org/10.1186/1471-2288-12-59 Text en Copyright ©2012 O'Reilly et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article O’Reilly, Dermot Kinnear, Heather Rosato, Michael Mairs, Adrian Hall, Clare Using record linkage to monitor equity and variation in screening programmes |
title | Using record linkage to monitor equity and variation in screening programmes |
title_full | Using record linkage to monitor equity and variation in screening programmes |
title_fullStr | Using record linkage to monitor equity and variation in screening programmes |
title_full_unstemmed | Using record linkage to monitor equity and variation in screening programmes |
title_short | Using record linkage to monitor equity and variation in screening programmes |
title_sort | using record linkage to monitor equity and variation in screening programmes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416698/ https://www.ncbi.nlm.nih.gov/pubmed/22533666 http://dx.doi.org/10.1186/1471-2288-12-59 |
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