
A qualitative evidence synthesisÌýon the impact of living with multiple long-term conditions on everyday life.Ìý
A growing number of people are living with several long-term health conditions like diabetes, heart disease, depression or dementia. We call this multiple long-term condition multimorbidity (MLTC-M). Many things throughout a person’s life influence the chances of developing health conditions. This includes their biology (e.g. age, ethnicity), things that happen to them (e.g. infections, accidents), behaviours (e.g. smoking, diet) and broader experiences (e.g. the environment people grew up in, their education, work, income). People from more disadvantaged backgrounds and/or certain ethnicities are more likely to develop MLTC-M and to develop it earlier. The impact (or ‘burden’) of MLTC-M, and the order that people develop conditions, also vary. Our research will help understand when MLCT-M becomes ‘burdensome’ and the best opportunities for intervention.
Watch our short animation for an introduction to MELD-b.
To use an Artificial Intelligence (AI) enhanced analysis of birth cohort data and electronic health records to identify lifecourse time points and targets for the prevention of early-onset, burdensome MLTC-M.
To achieve this aim, our study is composed of five work packages:
We will work with our stakeholders to use the findings from our research to influence policy and practice, and to co-produce public health advice, on preventing burdensome MLTC-M.
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Funder:ÌýNIHR
Duration: Start date 1st June 2022, End dateÌý28th Feb 2025
Contact:Ìýs.fraser@soton.ac.uk
A qualitative evidence synthesisÌýon the impact of living with multiple long-term conditions on everyday life.Ìý
Becky Wilkinson provides context to the MELD-B project.
Lynn is on the Patient Advisory Group for the Meld-B study and expressed how important it is for researchers to work with people who have not just one or two conditions but lots, to get a full insight.
Jim is hoping that the findings from the current phase (Meld-B) will show that an understanding can be gained into the influences of early morbidity to enable further funding to scale up the study.
The role Jack fulfils is as a member of the advisory board. He sees that job as overseeing the study as a whole and to give feedback and scrutiny.
A paper on 'Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) – protocol for a research collaboration'
A paper detailing research from MELD-b to develop groupings of early life factors that may be important for shaping the risk of developing multiple long-term conditions
A paper published on earlier work from MELD which provides context to this current project
Staff Member | Primary Position |
---|---|
Nisreen A Alwan | Professor in Public Health (ÃÛÌÒTV) |
Mark Ashworth | Reader in Primary Care (King’s College London) |
Ann Berrington | Professor of Demography and Social Statistics (ÃÛÌÒTV) |
Nick Francis | Nick Francis Professor of Primary Care Research (ÃÛÌÒTV) |
Simon DS Fraser | Simon DS Fraser Associate Professor of Public Health (ÃÛÌÒTV) |
Emilia HollandÌý | Specialty Registrar in Public Health/Visiting Academic (ÃÛÌÒTV) |
Rebecca Hoyle | Professor of Applied Mathematics (ÃÛÌÒTV) |
Rhiannon Owen | Associate Professor, Health Data Science (Swansea University) |
Ruben Sanchez-Garcia | Associate Professor of Pure and Applied Mathematics (ÃÛÌÒTV) |
Mozhdeh Shiranirad | Machine learning Research Fellow |
Sebastian Stannard | PhD student in Demography and Social Statistics |
Becky Wilkinson | Consultant in Public Health (Southampton City Council) |
Zlatko Zlatev | Senior Enterprise Fellow, Electronics & Computer Science (ÃÛÌÒTV) |