Multiple long-term condition multimorbidity Other
Conditions
Interventions
This is an observational study.
The aim is to safely deliver an Artificial Intelligence (AI)-enhanced epidemiological analytic system in which optimal lifecourse time points and targets for prevention
Sponsors
University of Southampton
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: For the modified Delphi study: Participants will include healthcare professionals/MLTC-M experts and adults who live with MLTC-M (or represent people who do, such as carers) For the rest of the study, we will use data from five sources: 1. The Secure Anonymised Information Linkage (SAIL) 2. Clinical Practice Research Datalink (CPRD) GOLD and Aurum datasets 3. Birth cohort data from the National Child Development Study (NCDS) 4. Birth cohort data from the Aberdeen Children of the 1950s (ACONF) 5. Birth cohort data from the 1970 British Cohort Study (BCS70)
Exclusion criteria
Exclusion criteria: For the Delphi study: 1. People who do not have MLTCM or represent people who do 2. Health professionals or researchers without expertise in the field of MLTCM
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| As a research collaboration addressing several research questions as indicated elsewhere in this record there is no single primary outcome measure. The outcomes cannot be specified more precisely in advance because they will be developed as part of the programme of work and cannot be simplified down to one for which method of measurement and timepoint can be provided. 1. Population - people who develop burdensome/complex (to be defined in our work package 1 qualitative evidence synthesis and Delphi study) multiple long-term condition multimorbidity before the age of 65 2. Exposures - multiple exposures occurring at multiple time points across the lifecourse, with a particular interest in exposures occurring pre-birth to age 18 years old (to be defined in our work package 4 using data from three longitudinal birth cohort studies) 3. Comparator - those not exposed Key outcomes: 1. Burdensome/complex multimorbidity clusters 2. Specific time points in the lifecourse and specific exposures where modelled alternatives demonstrate a reduction in the risk of the development of burdensome multimorbidity (as defined above) The burdensome multimorbidity outcome will be identified in retrospective cohorts using routine healthcare datasets (SAIL and CPRD) that include approximately 25 years of data between the mid-1990s and 2022. | — |
Secondary
| Measure | Time frame |
|---|---|
| As a research collaboration addressing several research questions as indicated elsewhere in this record there is no specified list of secondary outcome measures. We will also not be able to specify the outcomes fully until the first part of the research is undertaken (qualitative evidence synthesis and Delphi study) However - other outcomes will include: 1. A list of burdensomeness/complexity indicators for routine healthcare data as burdensomeness/complexity domains for use in clustering and clinical practice. 2. Trajectories of acquisition of burdensome features and long-term conditions for individuals in those clusters 3. Clusters of early life exposures (risk factors for sentinel conditions (the first to occur in the lifecourse) and early-onset, burdensome multimorbidity and sentinel conditions 4. Time points in the lifecourse and critical targets for MLTC-M prevention 5. Alternative lifecourse trajectory models based on a variety of policies and strategies | — |
Countries
England, United Kingdom
Contacts
Public ContactSimon Fraser
Outcome results
None listed