Back to Annual Meeting Page		American Public Health Association 133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA

Abstract #121901

Steve George, FFPH, School of Medicine, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, United Kingdom, +44 238 079 6533, pluto@soton.ac.uk and Steven Julious, PhD, MSc, CStat, Medical Statistics Group, School of Health and Related Research, University of Sheffield, Regent's Court, Regent Street, Sheffield, United Kingdom.

Against a background of rising demand for health care, rationing and other forms of limiting access to health care have become common. Predicting and managing demand for health care, especially where there are wide variations in life expectancy and economic disparities, is problematic. Moves towards funding for prevention as a means of addressing demand has been advocated; however, the data on which such considerations are often based are open to bias. In this paper the consequences of such bias on determining how to fund prevention is considered.

Learning Objectives:

• To provide an insight into potential sources of bias in funding health interventions arising for the analysis of health data.

Presenting author's disclosure statement:

I wish to disclose that I have NO financial interests or other relationship with the manufactures of commercial products, suppliers of commercial services or commercial supporters.

Recorded presentation