Document title: Using the linked Scottish Health Survey to predict hospitalisation and death: an analysis of the link between behavioural, biological and social risk factors and subsequent hospital admission and death in Scotland
Description:

In 2004, a record linkage exercise was undertaken by ISD Scotland to link both the 1995 and 1998 Scottish Health Survey data to the linked Scottish hospital admission and mortality database. This is the first time that it has been possible to create such a dataset on a national basis: its creation therefore provides an ideal opportunity to add to our understanding of the relationship between a broad range of social, behavioural and biological factors (as measured in the Scottish Health Survey) and subsequent hospital utilisation and/or death.

The work demonstrates that this linked hospitalisation and lifestyle dataset is a valuable resource for examining the relationships within Scotland between social, behavioural, biological and 'health status' factors and risk of hospitalisation or death.

The main strength of the dataset is clearly for follow-up analysis and its utility for this will improve as further years of follow-up data accrue and with the addition of 2003 Scottish Health Survey data. More detailed discussions of the implications of the modelling analysis will be available from a number of papers currently being drafted for submission to peer-reviewed journals. These will be available from the ScotPHO website at a future date.
Author(s): Project Group:
Professor Phil Hanlon (University of Glasgow)
Professor Matt Sutton (University of Aberdeen)
David Walsh (NHS Health Scotland)
Richard Lawder, Andrew Elders, David Clark, Bruce Whyte (ISD Scotland)
Publisher(s): ScotPHO
Date published: 16 August 2007
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