EDGE2
Research type
Research Study
Full title
Self-management and support programme for COPD (EDGE2)
IRAS ID
249148
Contact name
Andrew Farmer
Contact email
Sponsor organisation
CTRG - University of Oxford
Duration of Study in the UK
8 years, 0 months, 0 days
Research summary
Chronic obstructive pulmonary disease (COPD) is the name for a number of lung conditions. Individuals with COPD find breathing increasingly difficult because of how the lungs are affected by the condition. It affects 210 million people globally and an estimated 3 million people in the UK. COPD is a long-term disease without cure and is likely to become the third leading cause of death worldwide by 2020. Current treatment is focused on avoiding deterioration (worsening of symptoms), minimising risk factors and reducing symptoms.
Approximately 1 in 4 COPD patients in the NHS are re-admitted to hospital within 3 months of a previous visit. As a result, it is important to create responsive care models. Large numbers of patients often mean difficult workloads for the respiratory care teams. The need for high quality care consists in part by knowing if patients are getting worse or are having trouble looking after themselves.
Digital technologies offer a chance for patients to monitor themselves at home, which can provide regular updates on health status. This can reduce the need for patient home visits. The EDGE tablet computer system has support for all aspects of care currently provided. Building on the NIHR-funded SEND project that created a secondary care environment capturing clinical measurements across the Oxford University Hospitals NHS Trust, and EDGE that captured data in a home setting, the sElf-management anD support programme (EDGE2) for COPD will look at the feasibility of linking data from both in-hospital and home settings. An updated mHealth application will be used to better support patients by collecting more data about their condition. Pulling together data from the hospital system and at home might offer a better profile about a patient. Use of a more advanced tablet system will help inform future studies looking at developing algorithms to predict hospital admission.
REC name
London - Surrey Research Ethics Committee
REC reference
18/LO/1939
Date of REC Opinion
18 Dec 2018
REC opinion
Further Information Favourable Opinion