Measuring inequality in life expectancy: an update to the Public Health Outcomes Framework data
PHE ePoster Library. Fellows C. Sep 12, 2017; 186484; 152
Charlotte Fellows
Charlotte Fellows
Login now to access Regular content available to all registered users.

You may also access this content "anytime, anywhere" with the Free MULTILEARNING App for iOS and Android
Rate & Comment (0)
Abstract Reducing inequalities in life expectancy between communities is one of the overarching aims of the Public Health Outcomes Framework. Data to support this aim is produced by PHE, to enable local areas to understand the drivers of inequalities, identify priorities, and work towards a healthier, fairer society.The specific measure used, known as the Slope Index of Inequality (SII), shows how much life expectancy varies with deprivation, and represents the range in years of life expectancy across the social gradient from most to least deprived.In May 2017, in collaboration with PHE's Public Health Data Science team, three changes were made to the statistical methodology for calculation of the SII to improve the accuracy of the measure:The life expectancy calculation was revised to use an upper age band of 90+, reflecting the increasing proportion of deaths at older ages in England.The Index of Multiple Deprivation 2015 replaced IMD 2010 to define deprivation deciles, meaning areas are grouped using a measure of deprivation which most closely aligns to the time period of the data.A revised method for calculating confidence intervals was introduced, using a simulation technique to improve the precision of the estimates and makes it easier to track significant changes in inequality over time.We will present details of the impact of these changes, and examine trends in inequality in life expectancy at national and local levels over time, using the new methodology.
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.

Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.

Save Settings