Using connected datasets to deliver systemwide insights: a matched analysis of health and social care costs at the end of life

By Jenny Shand, University College London

Abstract

A large proportion of acute care costs are known to occur at the end of life, although less is known for other care settings. We performed cross-sectional analysis in a linked data set of Barking and Dagenham residents aged over 50 between 2011 and 2017. Those who died during the study period were matched to survivors on age group, gender, deprivation, number of long term conditions and time period. Mean care costs were calculated by care setting, age, and months to death.This seminar will share outputs of the research project as well as background on the linked dataset.

Speaker

Jenny Shand is a founding Director at UCL Partners, leading work on integrated care, carer education and the testing and evaluation of innovations. She is a board member at Care City, a partnership organisation in East London with a dual aim of promoting healthy ageing and social regeneration. Jenny has a wide experience of healthcare in different contexts - as a researcher, a hospital manager and as a consultant at McKinsey. Jenny is completing a PhD in Health Economics at UCL

This event is FREE TO ATTEND - no need to register!

CPD (1 credit) pending Royal College of Physicians

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