Publications by authors named "J D Lewsey"
Background: Identifying clusters of multiple long-term conditions (MLTCs), also known as multimorbidity, and their associated burden may facilitate the development of effective and cost-effective targeted healthcare strategies. This study aimed to identify clusters of MLTCs and their associations with long-term health-related quality of life (HRQoL) in two UK population-based cohorts.
Methods: Age-stratified clusters of MLTCs were identified at baseline in UK Biobank (n = 502,363, 54.
Background: Socioeconomic inequality in infant mortality in the UK is rising. This study aims to identify contributory maternal and pregnancy factors that can explain the known association between area deprivation and infant mortality.
Methods: A cohort study was conducted using Clinical Practice Research Datalink (CPRD) primary care data between 2004 and 2019 linked to the Index of Multiple Deprivation (IMD), and infant mortality from the Office for National Statistics death data.
The conceptualisation of cardiometabolic disease policy model in the UK.
BMC Health Serv Res
September 2024
Background: Decision models are increasingly used to inform policy-making processes, and there is a need to improve their credibility. The estimation of health and economic outcomes generated from decision models is influenced by the development process itself. This paper aims to present the conceptual model development process of cardiometabolic disease (CMD) policy models in the UK setting.
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- - This study seeks to better classify individuals with multiple long-term health conditions (MLTCs) by identifying specific clusters of these conditions across various age groups and their links to negative health outcomes and healthcare utilization.
- - Researchers employed latent class analysis on data from large cohorts, including over 1.8 million individuals, to determine how different MLTC clusters impact mortality, hospital hospitalizations, and general practitioner usage over ten years.
- - Findings indicated that certain MLTC clusters, particularly those involving cardiometabolic and pain/mental health issues, showed strong associations with higher risks of mortality and healthcare use, particularly in younger and middle-aged individuals, while data from the UKHLS group did not reveal significant risks.