Horvat-Gitsels, Lisanne; Kulinskaya, Elena; (2017) Modelling longevity risks from the primary care data. Presented at: Life Conference 2017, Birmingham, UK.

Slideshow F4_IFoA Life Conference Workshop F Kulinskaya Gitsels.pptx - Published Version Download (5MB)

Abstract

Longevity and morbidity risks are of essential importance to the actuarial community. We believe that to be able to establish the drivers of their changes, and to predict how they may change over time and how this would affect life expectancy, researchers need to engage in statistical modelling of mortality experience using large scale population-based individual level data collected over the long term. We provide an update on the IFoA Actuarial Research Centre funded grant on Use of Big Health and Actuarial Data For Understanding Longevity And Morbidity Risks (2016-2020). We provide an update on the IFoA Actuarial Research Centre funded grant on Use of Big Health and Actuarial Data For Understanding Longevity And Morbidity Risks (2016-2020). To determine the main factors affecting longevity and dynamics of their changes, we are using the subset of the THIN primary care database comprising 3.5 million patients born on or before 1960. In our previous work (Gitsels et al., 2016) we have studied longevity improvement due to the widening of the prescription of statins, the only known longevity-improving drug in general use. Here we discuss methodology and provide two case-studies: one on the role of intensive blood pressure control for longevity improvement, and the second on life expectancy after acute myocardial infarction (AMI).

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