The University of Southampton
University of Southampton Institutional Repository

Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC)

Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC)
Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC)
Purpose: we have established the SAIL MELD-B electronic cohort (e-cohort SMC) and the SAIL MELD-B children and Young adults e-cohort (SMYC) as a part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project. Each cohort has been created to investigate and develop a deeper understanding of the lived experience of the ‘burdensomeness’ of multimorbidity by identifying new clusters of burdensomeness indicators, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.

Participants: the SMC and SMYC are longitudinal e-cohorts created from routinely-collected individual-level population-scale anonymised data sources available within the Secure Anonymised Information Linkage (SAIL) Databank. They include individuals with available records from linked health and demographic data sources in SAIL at any time between 1st January 2000 and 31st December 2022. The SMYC e-cohort is a subset of the SMC, including only individuals born on or after the cohort start date.

Findings to date: the SMC and SMYC cohorts include 5,180,602 (50.3% female and 49.7% male) and 896,155 (48.7% female and 51.3% male) individuals respectively. Considering both primary and secondary care health data, the five most common long-term conditions for individuals in SMC are ‘Depression’, affecting 21.6% of the cohort, ‘Anxiety’ (21.1%), ‘Asthma’ (17.5%), ‘Hypertension’ (16.2%) and ‘Atopic Eczema’ (14.1%), and the five most common conditions for individuals in SMYC are ‘Atopic Eczema’ (21.2%), ‘Asthma’ (11.6%), ‘Anxiety’ (6.0%), ‘Deafness’ (4.6%) and ‘Depression’ (4.3%).

Future plans: the SMC and SMYC e-cohorts have been developed using a reproducible, maintainable concept curation pipeline, which allows for the cohorts to be updated dynamically over time and manages for the request and processing of further approved long-term conditions and burdensomeness indicators extraction. Best practices from the MELD-B project can be utilised across other projects, accessing similar data with population-scale data sources and trusted research environments.
Chiovoloni, Roberta
593d5cf9-f7c7-4ef9-a459-e627b63b3606
Dylag, Jakub
419a56cd-af18-401e-bd4a-070a4d76270b
Alwan, Nisreen A.
0d37b320-f325-4ed3-ba51-0fe2866d5382
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Boniface, Michael
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Fair, Nic
743fd34e-7e2b-42d0-818e-1db641e789be
Holland, Emilia
15066894-4188-4abf-8590-b83996e5fff2
Hoyle, Rebecca B.
e980d6a8-b750-491b-be13-84d695f8b8a1
Shiranirad, Mozhdeh
d25e36f5-e99d-4aec-b1c2-ca17e6d7a490
Stannard, Sebastian
99ffc90e-bf03-4cd4-9e63-a023491b1d36
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Owen, Rhiannon K.
ac692db4-4735-4f3e-b8f7-9682a092f354
Fraser, Simon D.S.
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Akbari, Ashley
80b0f5bb-6f36-491d-9725-8fee367e03ff
Chiovoloni, Roberta
593d5cf9-f7c7-4ef9-a459-e627b63b3606
Dylag, Jakub
419a56cd-af18-401e-bd4a-070a4d76270b
Alwan, Nisreen A.
0d37b320-f325-4ed3-ba51-0fe2866d5382
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Boniface, Michael
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Fair, Nic
743fd34e-7e2b-42d0-818e-1db641e789be
Holland, Emilia
15066894-4188-4abf-8590-b83996e5fff2
Hoyle, Rebecca B.
e980d6a8-b750-491b-be13-84d695f8b8a1
Shiranirad, Mozhdeh
d25e36f5-e99d-4aec-b1c2-ca17e6d7a490
Stannard, Sebastian
99ffc90e-bf03-4cd4-9e63-a023491b1d36
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Owen, Rhiannon K.
ac692db4-4735-4f3e-b8f7-9682a092f354
Fraser, Simon D.S.
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Akbari, Ashley
80b0f5bb-6f36-491d-9725-8fee367e03ff

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

Purpose: we have established the SAIL MELD-B electronic cohort (e-cohort SMC) and the SAIL MELD-B children and Young adults e-cohort (SMYC) as a part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project. Each cohort has been created to investigate and develop a deeper understanding of the lived experience of the ‘burdensomeness’ of multimorbidity by identifying new clusters of burdensomeness indicators, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.

Participants: the SMC and SMYC are longitudinal e-cohorts created from routinely-collected individual-level population-scale anonymised data sources available within the Secure Anonymised Information Linkage (SAIL) Databank. They include individuals with available records from linked health and demographic data sources in SAIL at any time between 1st January 2000 and 31st December 2022. The SMYC e-cohort is a subset of the SMC, including only individuals born on or after the cohort start date.

Findings to date: the SMC and SMYC cohorts include 5,180,602 (50.3% female and 49.7% male) and 896,155 (48.7% female and 51.3% male) individuals respectively. Considering both primary and secondary care health data, the five most common long-term conditions for individuals in SMC are ‘Depression’, affecting 21.6% of the cohort, ‘Anxiety’ (21.1%), ‘Asthma’ (17.5%), ‘Hypertension’ (16.2%) and ‘Atopic Eczema’ (14.1%), and the five most common conditions for individuals in SMYC are ‘Atopic Eczema’ (21.2%), ‘Asthma’ (11.6%), ‘Anxiety’ (6.0%), ‘Deafness’ (4.6%) and ‘Depression’ (4.3%).

Future plans: the SMC and SMYC e-cohorts have been developed using a reproducible, maintainable concept curation pipeline, which allows for the cohorts to be updated dynamically over time and manages for the request and processing of further approved long-term conditions and burdensomeness indicators extraction. Best practices from the MELD-B project can be utilised across other projects, accessing similar data with population-scale data sources and trusted research environments.

Text
2024.04.22.24306168v1.full - Author's Original
Available under License Creative Commons Attribution.
Download (1MB)

More information

Submitted date: 22 April 2024

Identifiers

Local EPrints ID: 490786
URI: http://eprints.soton.ac.uk/id/eprint/490786
PURE UUID: 170c7195-172e-4bc0-bddc-086a90add12f
ORCID for Nisreen A. Alwan: ORCID iD orcid.org/0000-0002-4134-8463
ORCID for Ann Berrington: ORCID iD orcid.org/0000-0002-1683-6668
ORCID for Michael Boniface: ORCID iD orcid.org/0000-0002-9281-6095
ORCID for Nic Fair: ORCID iD orcid.org/0000-0003-1566-4689
ORCID for Rebecca B. Hoyle: ORCID iD orcid.org/0000-0002-1645-1071
ORCID for Mozhdeh Shiranirad: ORCID iD orcid.org/0000-0003-4346-3059
ORCID for Simon D.S. Fraser: ORCID iD orcid.org/0000-0002-4172-4406

Catalogue record

Date deposited: 06 Jun 2024 16:44
Last modified: 07 Jun 2024 02:04

Export record

Altmetrics

Contributors

Author: Roberta Chiovoloni
Author: Jakub Dylag
Author: Ann Berrington ORCID iD
Author: Nic Fair ORCID iD
Author: Emilia Holland
Author: Mozhdeh Shiranirad ORCID iD
Author: Sebastian Stannard
Author: Zlatko Zlatev
Author: Rhiannon K. Owen
Author: Ashley Akbari

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×