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Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales

Overview of attention for article published in Australian Health Review, June 2007
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Title
Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales
Published in
Australian Health Review, June 2007
DOI 10.1186/1743-8462-4-12
Pubmed ID
Authors

Stephen Birch, Marion Haas, Elizabeth Savage, Kees Van Gool

Abstract

Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40-79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups - where needs were defined on the basis of a woman's age. We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Researcher 3 14%
Lecturer 2 9%
Librarian 1 5%
Other 1 5%
Other 4 18%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Unspecified 3 14%
Nursing and Health Professions 3 14%
Social Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 10 45%