Using record linkage to monitor equity and variation in screening programmes:

Dermot O'Reilly, Heather Kinnear, Michael Rosato, Adrian Mairs, Clare Hall

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
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Abstract 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.
Original languageEnglish
Article number59
Number of pages6
JournalBMC Medical Research Methodology
Publication statusPublished - 25 Apr 2012
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Health Informatics


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