We are pleased to announce the next Knowledge Exchange Seminar hosted by the Population Evidence and Data Science theme
Topic: DACHA: an overview of the project and the care home trials archive
Tuesday 23rd November
12.30 to 13.30
These seminars aim to bring together researchers across the EoE ARC with an interest in better use of health and care data, provide an opportunity to share expertise in different types of data and create a forum to learn and exchange ideas.
The NIHR funded DACHA study (Developing research resources and minimum data set for care homes’ adoption and use) is an ARC East of England supported study being led by the University of Hertfordshire. The four-year project started in November 2019 and is divided into five work packages. This presentation will provide a general overview of all DACHA work packages and then will focus specifically on the development of a care home trials archive (Work Package 2).
Speakers:
- Dr Gizdem Akdur is a research fellow in the NIHR-funded DACHA study (Developing research resources and minimum data set for care homes’ adoption and use) since December 2019. Prior to that, she worked as a teaching fellow in the Department of Digital Humanities at King’s College London. Gizdem completed her MSc and PhD at the London School of Economics, under the Information Systems and Innovation Faculty Research Group, and was awarded her BEng (Hons) from the University of Sheffield’s Department of Computer Science. Her research interests include health care information systems, technology in care, policy research, ageing studies, and qualitative methods.
- Lisa Irvine is a senior research fellow at the University of Hertfordshire and co-leading Work Package 2 on the DACHA study. This involves the development of an archive of individual participant data (IPD) from randomised controlled trials conducted in UK care homes. Lisa is a health economist by background, mainly working on within-trial economic evaluations, including two trials which are included in the care homes archive.
Register here
For further information contact: sam71@medschl.cam.ac.uk