Inequalities in life expectancy: Harnessing data, statistical modelling and data visualisation to gain insight into what is driving changes - a local approach and considerations
PHE ePoster Library. Yeung S.
Sep 12, 2017; 186610
Stephen Yeung
Stephen Yeung
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Abstract
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Abstract Reducing differences in life expectancy between communities is a key outcome of the Public Health Outcomes Framework Healthy Lives, healthy people: Improving outcomes and supporting transparency. The slope index of inequality (SII) in life expectancy is one indicator by which inequalities are measured. It is a measure of the social gradient in life expectancy, representing the range in years in life expectancy from the most to the least deprived within an area. A higher SII represents greater inequality.Following the publication of the 2016 Health Profiles, which featured the SII, Southend-on-Sea observed that their SII was high, and requested support from PHE's Local Knowledge and Intelligence Service East of England (LKISEast) to explore this further. Featuring statistical modelling and analysis, our approach augmented the methodology set by our national Epidemiology and Surveillance colleagues, and applied it locally. This required obtaining and analysing data on life expectancy, deprivation and populations, and the use of graphical and map representations to maximise the ability to inform. This provided insight into what was causing Southend-on-Sea's high SII, and why the observation was in fact the latest in an apparent increasing trend in its SII.This poster illustrates the approach that LKISEast took to meet this request, which has wider application by serving as a guide and highlighting important considerations for other local authorities seeking to understand their SII to follow. An interactive Tableau® dashboard developed by LKISEast is also illustrated, which complements this approach by enabling the statistics behind the SII to be explored.
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