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Public Policy|Southampton

Research project:ÌýMultidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B)

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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.

Project Overview

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Project Overview

Staff

Project Overview

Staff

Project Overview

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MELD-b Research Project: an Intro

Watch our short animation for an introduction to MELD-b.

MELD-B Logo
MELD-B Logo

Aim

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.

Plan

To achieve this aim, our study is composed of five work packages:

  1. Undertake a qualitative evidence synthesis and a consensus study (Delphi) to develop deeper understanding of what ‘burdensomeness’ and ‘complexity’ mean to people living with early-onset (by age 65) MLTC-M, carers and healthcare professionals
  2. Develop a safe data environments and readiness for AI analyses across large, representative routine healthcare datasets and birth cohorts.
  3. In those safe data environments, using the WP1 burdensomeness/complexity indicators and applying AI methods, identify novel early-onset, burdensome MLTC-M clusters. Also in this work package, we will match individuals in birth cohorts into routine data MLTC-M clusters and then identify determinants of burdensome clusters and model trajectories of long-term conditions (LTCs) and burden accrual.
  4. By characterising clusters of early-life (pre-birth to 18 years) risk factors for early-onset, burdensome MLTC-M and sentinel conditions (the first LTC to occur in the lifecourse), we will define population groups in early life at risk of future MLTC-M, identify critical time points and targets for prevention, and model counterfactual prevention scenarios of interventions acting on combined risk factors at key timepoints.
  5. Engage key stakeholders to prioritise timepoints and targets to prevent/delay specified sentinel conditions and early-onset, burdensome MLTC-M. Partnering with our PPI Advisory Board, and through further stakeholder engagement, we will co-produce public health implementation recommendation.

Impact

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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MELD-B Collaborations
MELD-B Collaborations

Funder:ÌýNIHR

Duration: Start date 1st June 2022, End dateÌý28th Feb 2025

Contact:Ìýs.fraser@soton.ac.uk

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A qualitative evidence synthesisÌýon the impact of living with multiple long-term conditions on everyday life.Ìý

MELD-B Lynn Blog

Meet Lynn Blog

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.

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MELD-B Jim Blog

Meet Jim Blog

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.

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MELD-B Jack Blog

Meet Jack Blog

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.

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Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) – protocol for a research collaboration

A paper on 'Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) – protocol for a research collaboration'

A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity

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

BMJ logo

A paper published on earlier work from MELD which provides context to this current project

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MELD-B Collaborations in high resolution