Research Department of Primary Care and
Upper Third Floor
UCL Medical School (Royal Free Campus)
Rowland Hill Street, London NW3 2PF
For all enquiries please contact:
Fiona Giles - Assistant Project Co-ordinator
Telephone 020 7794 0500 extn 38826
How to find us
Unit was established by Elizabeth Murray in 2003 to explore the use of new
information and communication technologies, such as the internet and mobile
phones, to improve health and health care. It is now one of the foremost e-Health units
internationally, with a strong multi-disciplinary focus and expertise across a
wide range of research methods.
There are three main streams of work:
We develop and evaluate interventions for the public and patients. We are currently working on interventions in three areas:
Alcohol - Our unit was involved in the development and evaluation of Down Your Drink (DYD), an online intervention for hazardous alcohol consumption. We are now researching people's views on drinking and the use of an online screening tool. For more information please follow the links below:
Sexual Health - Our sexual health team develop and evaluate online interventions to improve sexual health. Previous projects include Sexunzipped, the MenSS website and SexTherapy London. We are currently conducting a review of Digital Media for Sexual Health. Follow the links below for more information.
Type 2 Diabetes - We have developed and are currently evaluating an online intervention, called HeLP Diabetes, to improve self-management in diabetes. Follow the link below for more information.
We have an interest in implementation of ehealth and new technology in health care systems. This stream includes work on the Normalisation Process Theory (NPM peer learning group) and led to the development of the ehealth Implementation Toolkit as part of an SDO-funded grant (EH 94).
Our third work stream focuses on understanding interactions between health care professionals and patients. This stream is led by Fiona Stevenson and uses qualitative research methods such as discourse analysis and conversation analysis to better understand interactions between clinicians and patients and the likely impact of e-health interventions.
Page last modified on 15 dec 14 16:40