The relationship between socio-economic status and cancer detection at screening

Sian Taylor-Phillips; Toyin Ogboye; Tom Hamborg; Olive Kearins; Emma O'Sullivan; Aileen Clarke

doi:10.1117/12.2075893

20 March 2015 The relationship between socio-economic status and cancer detection at screening

Sian Taylor-Phillips, Toyin Ogboye, Tom Hamborg, Olive Kearins, Emma O'Sullivan, Aileen Clarke

Proceedings Volume 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment; 941609 (2015) https://doi.org/10.1117/12.2075893
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

It is well known that socio-economic status is a strong predictor of screening attendance, with women of higher socioeconomic status more likely to attend breast cancer screening. We investigated whether socio-economic status was related to the detection of cancer at breast screening centres. In two separate projects we combined UK data from the population census, the screening information systems, and the cancer registry. Five years of data from all 81 screening centres in the UK was collected. Only women who had previously attended screening were included. The study was given ethical approval by the University of Warwick Biomedical Research Ethics committee reference SDR-232-07- 2012. Generalised linear models with a log-normal link function were fitted to investigate the relationship between predictors and the age corrected cancer detection rate at each centre. We found that screening centres serving areas with lower average socio-economic status had lower cancer detection rates, even after correcting for the age distribution of the population. This may be because there may be a correlation between higher socio-economic status and some risk factors for breast cancer such as nullparity (never bearing children). When applying adjustment for age, ethnicity and socioeconomic status of the population screened (rather than simply age) we found that SDR can change by up to 0.11.

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Sian Taylor-Phillips, Toyin Ogboye, Tom Hamborg, Olive Kearins, Emma O'Sullivan, and Aileen Clarke "The relationship between socio-economic status and cancer detection at screening", Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 941609 (20 March 2015); https://doi.org/10.1117/12.2075893

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KEYWORDS

Cancer

Breast cancer

Breast

Data modeling

Medical research

Modeling

Statistical analysis

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