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Determinants of breast cancer screening uptake in women, evidence from the British Household Panel Survey

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  • Carney, Patricia
  • O'Neill, Stephen
  • O'Neill, Ciaran

Abstract

Breast cancer screening is an integral part of the cancer control strategies of many developed economies. In Britain individuals screened in a given year are re-called every three years unless results indicate a need for more immediate investigation. This pattern may create a legacy arising from past decisions, a legacy that should be considered when examining current decisions. In this paper we use a balanced panel drawn from the British Household Panel Survey of 1997 women over an 18 year period to examine variations in uptake. A dynamic random effects probit model is used to control for unobserved heterogeneity and the legacy of previous decisions. As might be expected women to whom universal screening is offered are more likely to screen than others. Changes during the study period in the eligible age range saw an increase in uptake among the age group to whom the programme was extended but not among other groups. Past screening behaviour was found to be a significant predictor of current behaviour. Failure to account for past choices may result in model mis-specification and a failure to develop policies aimed at promoting initial engagement that may compromise the screening programme. Income was not found to be a significant determinant of uptake.

Suggested Citation

  • Carney, Patricia & O'Neill, Stephen & O'Neill, Ciaran, 2013. "Determinants of breast cancer screening uptake in women, evidence from the British Household Panel Survey," Social Science & Medicine, Elsevier, vol. 82(C), pages 108-114.
    • Handle: RePEc:eee:socmed:v:82:y:2013:i:c:p:108-114
    DOI: 10.1016/j.socscimed.2012.12.018
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    References listed on IDEAS

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    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Ricardo Sabates & Leon Feinstein, 2008. "Do income effects mask social and behavioural factors when looking at universal health care provision?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 53(1), pages 23-30, January.
    3. Scott, Anthony, 2000. "Economics of general practice," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 22, pages 1175-1200, Elsevier.
    4. Walsh, Brendan & Silles, Mary & O'Neill, Ciarán, 2011. "The importance of socio-economic variables in cancer screening participation: A comparison between population-based and opportunistic screening in the EU-15," Health Policy, Elsevier, vol. 101(3), pages 269-276, August.
    5. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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    Cited by:

    1. Alexander Labeit & Frank Peinemann, 2015. "Breast and cervical cancer screening in Great Britain: Dynamic interrelated processes," Health Economics Review, Springer, vol. 5(1), pages 1-17, December.
    2. Gil Lacruz, Ana Isabel & Gil Lacruz, Marta & Gorgemans, Sophie, 2014. "Female preventive practices: Breast and smear tests," Health Policy, Elsevier, vol. 118(1), pages 135-144.
    3. Hobbins, Anna P. & Barry, Luke & Kelleher, Dan & Shah, Koonal & Devlin, Nancy & Ramos Goni, Juan Manuel & O’Neill, Ciaran, 2020. "Do people with private health insurance attach a higher value to health than those without insurance? Results from an EQ-5D-5 L valuation study in Ireland," Health Policy, Elsevier, vol. 124(6), pages 639-646.
    4. Anezaki, Hisataka & Hashimoto, Hideki, 2018. "Time cost of child rearing and its effect on women's uptake of free health checkups in Japan," Social Science & Medicine, Elsevier, vol. 205(C), pages 1-7.

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