Publications by authors named "H L Duckworth"

Introduction: Policies aiming to prevent ill health and reduce health inequalities need to consider the full complexity of health systems, including environmental determinants. A learning health system that incorporates environmental factors needs healthcare, social care and non-health data linkage at individual and small-area levels. Our objective was to establish privacy-preserving household record linkage for England to ensure person-level data remain secure and private when linked with data from households or the wider environment.

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Objective: This study evaluates the impact of England's COVID-19 shielding programme on mortality in the City of Liverpool in North West England.

Study Design: Shielded and non-shielded people are compared using data from linked routine health records on all people registered with a general practitioner in Liverpool from April 2020 to June 2021.

Methods: A discrete time hazard model and interactions between the shielding status and the periods of higher risk of transmission are used to explore the effects of shielding across the major phases of the COVID-19 pandemic.

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Finite Element (FE) models of brain mechanics have improved our understanding of the brain response to rapid mechanical loads that produce traumatic brain injuries. However, these models have rarely incorporated vasculature, which limits their ability to predict the response of vessels to head impacts. To address this shortcoming, here we used high-resolution MRI scans to map the venous system anatomy at a submillimetre resolution.

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Background: Many health systems are experimenting with integrated care models to improve outcomes and reduce healthcare demand. Evidence for effects on health service utilisation is variable, with few studies investigating impacts on mortality or differences by socioeconomic group.

Objective: To examine the impact of a multidisciplinary, integrated care team intervention on emergency admissions and mortality, and whether effects differed by deprivation group.

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The Cerebrospinal Fluid (CSF) can undergo shear deformations under head motions. Finite Element (FE) models, which are commonly used to simulate biomechanics of the brain, including traumatic brain injury, employ solid elements to represent the CSF. However, the limited number of elements paired with shear deformations in CSF can decrease the accuracy of their predictions.

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