The benefits of population-based screening for breast cancer are now accepted although, in practice, programmes often fail to achieve their full potential. In this paper, we propose a conceptual model that situates screening programmes within the broader health system to understand the factors that influence their outcomes. We view the overall screening system as having multiple sub-systems to identify the population at risk, generate knowledge of effectiveness, maximise uptake, operate the programme, and optimise follow-up and assurance of subsequent treatment. Based on this model we have developed the Barriers to Effective Screening Tool (BEST) for analysing government-led, population-based screening programmes from a health systems perspective. Conceived as a self-assessment tool, we piloted the tool with key informants in six European countries (Estonia, Finland, Hungary, Italy, The Netherlands and Slovenia) to identify barriers to the optimal operation of population-based breast cancer screening programmes. The pilot provided valuable feedback on the barriers affecting breast cancer screening programmes and stimulated a greater recognition among those operating them of the need to take a health systems perspective. In addition, the pilot led to further development of the tool and provided a foundation for further research into how to overcome the identified barriers.

Breast cancer, Cancer screening, Health systems
dx.doi.org/10.1016/j.healthpol.2018.08.003, hdl.handle.net/1765/110232
EU-TOPIA
Health Policy
This work was funded by the European Commission 7th Framework Programme; grant id h2020/634753 - EU-TOPIA: TOWARDS IMPROVED SCREENING FOR BREAST, CERVICAL AND COLORECTAL CANCER IN ALL OF EUROPE (EU-TOPIA)
Department of Public Health

Turnbull, E, Priaulx, J, van Ravesteyn, N.T, Heinävaara, S. (Sirpa), Siljander, I. (Ilona), Senore, C, … McKee, M. (2018). A health systems approach to identifying barriers to breast cancer screening programmes. Methodology and application in six European countries. Health Policy. doi:10.1016/j.healthpol.2018.08.003