The Data Management staff comprises James Brimicombe and Sayuri Vonil, and we strive to work closely with the rest of the Hub and Primary Care Unit to collect, keep, process and destroy data as required by researchers in a timely way. We also build online or offline data collection applications on a variety of platforms and technologies.
Ongoing research projects we’re involved with include:
The LISTEN study (Listening: Involving SLE patients to empower and negotiate recognition)
Aims
- To explore the acceptability and feasibility of peer support by small group email.
- To measure the impact of peer support and research involvement on the mental health, wellbeing, self-esteem and disease acceptance of patients with systemic autoimmune rheumatic diseases
- To empower patients and improve research quality and relevance by actively involving them in research into their own disease; generating research questions and research materials that are relevant to their priorities, needs and experiences.
- To investigate key factors in effects of the disease and patient-physician interactions pre and post diagnosis on patient behaviour, mental health/ wellbeing and disease acceptance
- To compare lupus and related disease patients’ wellbeing, mental health and perception of medical care with patients with RA, fibromyalgia and healthy friend controls
Methods
- A randomised controlled trial to test the qualitative data and see if statistically significant differences are found with those receiving peer support in small groups with and without tasks.
- Explore whether participation in research has an additional positive impact on wellbeing
PIs: Professor Stephen Sutton and Mel Sloan
Data Manager: James Brimicombe
Funder: LUPUS UK
The SAFER Trial – Screening for Atrial Fibrillation with ECG to Reduce stroke
A programme of research investigating screening to detect atrial fibrillation, a heart condition responsible for one in ten strokes.
Aims
- To explore issues around consent to screening
- To explore sharing decision making about treatment if AF is found
- To explore factors associated with uptake of screening
- To explore patient concerns
Methods
Randomized eligible patients aged 70 and over take part in screening at home with non-invasive hand-held ECG recording device. Use the device for 3 weeks and record ECG 4 times a day. Recorded ECG traces will be transmitted by the device to a central database.
PI: Professor Jonathan Mant
Data Manager: James Brimicombe
Funder: National Institute for Health and Care Research (NIHR) Programme Grants for Applied Research and NIHR School for Primary Care Research
Study website for further information: SAFER Trial