The SAIL MELD-B e-cohort (SMC) and SAIL MELD-B Young adult e-cohort (SMYC) – a reproducible methodological pipeline for dynamic cohort curation and research

ObjectivesThrough the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project, we established the SAIL MELD-B e-cohort (SMC) and the SAIL MELD-B Young adults e-cohort (SMYC), with the aim to enhance the understanding of ‘burdensomeness’ in individuals living with multimorbidity, including identifying new clusters of burdensome indicators, exploring early life risk factors and modelling potential preventative scenarios. ApproachWe use routinely-collected anonymised linked demographic, health and administrative data sources available within the SAIL Databank to define SMC and SMYC. These cohorts were developed using a reproducible, maintainable, methodological pipeline that allows for dynamic updates as data coverage expands. The pipeline efficiently processes new burdensomeness concepts, facilitating the extraction of relevant records associated with the concepts identified for use in the SMC and SMYC. ResultsSMC and SMYC comprises of 5,180,602 and 896,155 individuals registered with a Welsh General Practice at any time between 1st January 2000 and 31st December 2022 respectively. Analysis of primary and secondary care health data reveals that the most common conditions in SMC were depression (21.6%), anxiety (21.1%), asthma (17.5%), hypertension (16.2%), and atopic eczema (14.1%). In SMYC, the most common conditions were atopic eczema (21.2%), asthma (11.6%), anxiety (6.0%), deafness (4.6%), and depression (4.3%). Conclusions and ImplicationsSMC and SMYC provide two generalisable population samples, which can be used to address various research questions across MELD-B. The adaptability of the methodological pipeline allows cohort curation to be repurposed for other projects accessing population-scale data sources and trusted research environments.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2753
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00

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article

The SAIL MELD-B e-cohort (SMC) and SAIL MELD-B Young adult e-cohort (SMYC) – a reproducible methodological pipeline for dynamic cohort curation and research

Ann Berrington, Ashley Akbari, Nisreen A Alwan, Jakub Dylag et al.
International Journal for Population Data Science
Health, Environment, Cognitive Aging
article

The SAIL MELD-B e-cohort (SMC) and SAIL MELD-B Young adult e-cohort (SMYC) – a reproducible methodological pipeline for dynamic cohort curation and research

Ann Berrington, Ashley Akbari, Nisreen A Alwan, Jakub Dylag, Roberta Chiovoloni, Sebastian Stannard, Emilia Holland, Michael Boniface, Nic Fair, Rhiannon K Owen, Zlatko Zlatev, Simon Fraser
article en

Abstract

ObjectivesThrough the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project, we established the SAIL MELD-B e-cohort (SMC) and the SAIL MELD-B Young adults e-cohort (SMYC), with the aim to enhance the understanding of ‘burdensomeness’ in individuals living with multimorbidity, including identifying new clusters of burdensome indicators, exploring early life risk factors and modelling potential preventative scenarios. ApproachWe use routinely-collected anonymised linked demographic, health and administrative data sources available within the SAIL Databank to define SMC and SMYC. These cohorts were developed using a reproducible, maintainable, methodological pipeline that allows for dynamic updates as data coverage expands. The pipeline efficiently processes new burdensomeness concepts, facilitating the extraction of relevant records associated with the concepts identified for use in the SMC and SMYC. ResultsSMC and SMYC comprises of 5,180,602 and 896,155 individuals registered with a Welsh General Practice at any time between 1st January 2000 and 31st December 2022 respectively. Analysis of primary and secondary care health data reveals that the most common conditions in SMC were depression (21.6%), anxiety (21.1%), asthma (17.5%), hypertension (16.2%), and atopic eczema (14.1%). In SMYC, the most common conditions were atopic eczema (21.2%), asthma (11.6%), anxiety (6.0%), deafness (4.6%), and depression (4.3%). Conclusions and ImplicationsSMC and SMYC provide two generalisable population samples, which can be used to address various research questions across MELD-B. The adaptability of the methodological pipeline allows cohort curation to be repurposed for other projects accessing population-scale data sources and trusted research environments.

International Journal for Population Data ScienceVol. 9(5)
Southampton General Hospital (GB), Swansea University (GB), Health & Life (Taiwan) (TW), University of Southampton (GB)
Economic and Social Research Council
Openalex Percentile: Top 79%
Health, Environment, Cognitive Aging
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