Issue 6, July 2000,
pp.7. Because many of the causes of the health divide lie in broader policy arenas, outside the health sector, there is a great need to develop ways of assessing the impact of broader social and economic policies. The task is fraught with evaluation dilemmas, but pragmatic solutions are evolving, including the use of 'natural policy experiments'. These take advantage of variations in policy formulation or implementation in different localities and countries. Our ESRC study selected one such experiment - the differing social welfare policies in operation in the UK and Sweden - and assessed their impact on the health-related circumstances of lone mothers and people at risk of or experiencing unemployment. This presentation
outlined the conceptual framework (Figure 1) that had been refined for
the task and its potential value for policy development. Essentially,
it was helpful in our study in pointing out distinct and empirically testable
mechanisms generating inequalities in health, and also in distinguishing
between several entry points where policy might potentially have an impact.
It can, in combination with adequate individual level data on factors
such as exposure levels and distributions, be used for health inequality
impact analysis. The ultimate aim is to identify effective policy levers
for making improvements. The impact of social
position on health through differential exposure (I), differential vulnerability
(II), and differential consequences of disease (III). Consequences of
disease might feed back into a causal pathway (IV). The modifying effect
of social context and policy on social stratification (A), differential
exposure (B), differential vulnerability (C), and differential social
consequences of disease (D).
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