Email updates

Keep up to date with the latest news and content from BMC Cancer and BioMed Central.

Open Access Research article

Identifying specific non-attending groups in breast cancer screening - population-based registry study of participation and socio-demography

Line Flytkjær Jensen123*, Anette Fischer Pedersen13, Berit Andersen4 and Peter Vedsted13

Author affiliations

1 The Research Unit for General Practice, Department of Public Health, Aarhus University, Bartholins Allé 2, Aarhus C, 8000, Denmark

2 Section for General Practice, Department of Public Health, Aarhus University, Bartholins Allé 2, Aarhus C, 8000, Denmark

3 The Research Centre for Cancer Diagnosis in Primary Care (CaP), Aarhus University, Bartholins Allé 2, Aarhus, C 8000, Denmark

4 Department for Public Health Programs, Regional Hospital of Randers, Skovlyvej 1, Randers, 8930, Denmark

For all author emails, please log on.

Citation and License

BMC Cancer 2012, 12:518  doi:10.1186/1471-2407-12-518

Published: 14 November 2012

Abstract

Background

A population-based breast cancer screening programme was implemented in the Central Denmark Region in 2008–09. The objective of this registry-based study was to examine the association between socio-demographic characteristics and screening participation and to examine whether the group of non-participants can be regarded as a homogeneous group of women.

Method

Participation status was obtained from a regional database for all women invited to the first screening round in the Central Denmark Region in 2008–2009 (n=149,234). Participation data was linked to registries containing socio-demographic information. Distance to screening site was calculated using ArcGIS. Participation was divided into ‘participants’ and ‘non-participants’, and non-participants were further stratified into ‘active non-participants’ and ‘passive non-participants’ based on whether the woman called and cancelled her participation or was a ‘no-show’.

Results

The screening participation rate was 78.9%. In multivariate analyses, non-participation was associated with older age, immigrant status, low OECD-adjusted household income, high and low level education compared with middle level education, unemployment, being unmarried, distance to screening site >20 km, being a tenant and no access to a vehicle. Active and passive non-participants comprised two distinct groups with different socio-demographic characteristics, with passive non-participants being more socially deprived compared with active non-participants.

Conclusion

Non-participation was associated with low social status e.g. low income, unemployment, no access to vehicle and status as tenant. Non-participants were also more likely than participants to be older, single, and of non-Danish origin. Compared to active non-participants, passive non-participants were characterized by e.g. lower income and lower educational level. Different interventions might be warranted to increase participation in the two non-participant groups.

Keywords:
Screening; Mammography; Non-participation; Socio-demography; Inequality