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4 results on '"Amy Mizen"'

1. Built Environments And Child Health in WalEs and AuStralia (BEACHES): a study protocol

Author

Lucy J Griffiths, Ronan A Lyons, Stewart G Trost, Alan Watkins, Ben Beck, Gareth Stratton, Sinead Brophy, Hayley Christian, Amy Mizen, Richard Fry, Kevin Murray, James Rafferty, Bridget Beesley, Bryan Boruff, John Duncan, Donna Cross, Rowena Bailey, Jasper Schipperijn, Michael Rosenberg, Peter Gething, Theodora Pouliou, Daniel A Thompson, Rhodri D Johnson, Rebecca Pedrick-Case, Gursimran Dhamrait, and Trina Robinson

Subjects
Medicine
Abstract

Introduction Childhood obesity and physical inactivity are two of the most significant modifiable risk factors for the prevention of non-communicable diseases (NCDs). Yet, a third of children in Wales and Australia are overweight or obese, and only 20% of UK and Australian children are sufficiently active. The purpose of the Built Environments And Child Health in WalEs and AuStralia (BEACHES) study is to identify and understand how complex and interacting factors in the built environment influence modifiable risk factors for NCDs across childhood.Methods and analysis This is an observational study using data from five established cohorts from Wales and Australia: (1) Wales Electronic Cohort for Children; (2) Millennium Cohort Study; (3) PLAY Spaces and Environments for Children’s Physical Activity study; (4) The ORIGINS Project; and (5) Growing Up in Australia: the Longitudinal Study of Australian Children. The study will incorporate a comprehensive suite of longitudinal quantitative data (surveys, anthropometry, accelerometry, and Geographic Information Systems data) to understand how the built environment influences children’s modifiable risk factors for NCDs (body mass index, physical activity, sedentary behaviour and diet).Ethics and dissemination This study has received the following approvals: University of Western Australia Human Research Ethics Committee (2020/ET000353), Ramsay Human Research Ethics Committee (under review) and Swansea University Information Governance Review Panel (Project ID: 1001). Findings will be reported to the following: (1) funding bodies, research institutes and hospitals supporting the BEACHES project; (2) parents and children; (3) school management teams; (4) existing and new industry partner networks; (5) federal, state and local governments to inform policy; as well as (6) presented at local, national and international conferences; and (7) disseminated by peer-reviewed publications.

Published
2022
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2. Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions

Author

Ashley Akbari, Chris Davies, Ann John, Simon Thompson, Ronan Lyons, Sinead Brophy, Tamas Szakmany, Amy Mizen, Richard Fry, Rowena Griffiths, Jan Davies, Gareth John, Peter Diggle, Chris Orton, James Rafferty, Christopher Williams, Jane Lyons, Fatemeh Torabi, Gareth I Davies, Laura North, Rowena Bailey, Joseph Hollinghurst, Samantha L Turner, Daniel Thompson, Lee Au-Yeung, Lynsey Cross, Mike B Gravenor, Biagio Lucini, Daniel Rh Thomas, Chris Emmerson, Simon Cottrell, Thomas R Connor, Chris Taylor, Richard J Pugh, Simon Scourfield, Joe Hunt, Anne M Cunningham, and Kathryn Helliwell

Subjects
Medicine
Abstract

Introduction The emergence of the novel respiratory SARS-CoV-2 and subsequent COVID-19 pandemic have required rapid assimilation of population-level data to understand and control the spread of infection in the general and vulnerable populations. Rapid analyses are needed to inform policy development and target interventions to at-risk groups to prevent serious health outcomes. We aim to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of COVID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions.Methods and analysis Two privacy-protecting population-level cohorts have been created and derived from multisourced demographic and healthcare data. The C20 cohort consists of 3.2 million people in Wales on the 1 January 2020 with follow-up until 31 May 2020. The complete cohort dataset will be updated monthly with some individual datasets available daily. The C16 cohort consists of 3 million people in Wales on the 1 January 2016 with follow-up to 31 December 2019. C16 is designed as a counterfactual cohort to provide contextual comparative population data on disease, health service utilisation and mortality. Study outcomes will: (a) characterise the epidemiology of COVID-19, (b) assess socioeconomic and demographic influences on infection and outcomes, (c) measure the impact of COVID-19 on short -term and longer-term population outcomes and (d) undertake studies on the transmission and spatial spread of infection.Ethics and dissemination The Secure Anonymised Information Linkage-independent Information Governance Review Panel has approved this study. The study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.

Published
2020
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3. Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions

Author

Jan Davies, Simon Scourfield, Kathryn Helliwell, Chris Taylor, Anne Marie Cunningham, Rowena Bailey, Richard Fry, Joe Hollinghurst, Christopher Orton, Simon Thompson, James Rafferty, Gareth John, Lynsey Cross, Joe Hunt, Mike B. Gravenor, Christopher Williams, Richard Pugh, Rowena Griffiths, Lee Au-Yeung, Samantha Turner, Tamas Szakmany, Daniel Thomas, Jane Lyons, Amy Mizen, Laura North, Biagio Lucini, Ronan A Lyons, Christopher Davies, Thomas R. Connor, Gareth I. Davies, Peter J. Diggle, Sinead Brophy, Daniel A Thompson, Simon Cottrell, Ann John, Chris Emmerson, Ashley Akbari, and Fatemeh Torabi

Subjects
medicine.medical_specialty, Population, Pneumonia, Viral, Psychological intervention, Health informatics, Betacoronavirus, Risk Factors, Environmental health, Epidemiology, Health care, Medicine, Humans, Information governance, education, health informatics, Pandemics, education.field_of_study, Wales, business.industry, SARS-CoV-2, Public health, COVID-19, General Medicine, Cohort, epidemiology, Public Health, business, Coronavirus Infections, Delivery of Health Care
Abstract

IntroductionThe emergence of the novel respiratory SARS-CoV-2 and subsequent COVID-19 pandemic have required rapid assimilation of population-level data to understand and control the spread of infection in the general and vulnerable populations. Rapid analyses are needed to inform policy development and target interventions to at-risk groups to prevent serious health outcomes. We aim to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of COVID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions.Methods and analysisTwo privacy-protecting population-level cohorts have been created and derived from multisourced demographic and healthcare data. The C20 cohort consists of 3.2 million people in Wales on the 1 January 2020 with follow-up until 31 May 2020. The complete cohort dataset will be updated monthly with some individual datasets available daily. The C16 cohort consists of 3 million people in Wales on the 1 January 2016 with follow-up to 31 December 2019. C16 is designed as a counterfactual cohort to provide contextual comparative population data on disease, health service utilisation and mortality. Study outcomes will: (a) characterise the epidemiology of COVID-19, (b) assess socioeconomic and demographic influences on infection and outcomes, (c) measure the impact of COVID-19 on short -term and longer-term population outcomes and (d) undertake studies on the transmission and spatial spread of infection.Ethics and disseminationThe Secure Anonymised Information Linkage-independent Information Governance Review Panel has approved this study. The study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.

Published
2020
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4. Study protocol for investigating the impact of community home modification services on hospital utilisation for fall injuries: a controlled longitudinal study using data linkage

Author

Sarah Rodgers, Alan Watkins, Neil Williams, Ronan A Lyons, Sarah Hillcoat-Nalletamby, Amy Mizen, Andrew Clegg, Damon Berridge, Rhodri Johnson, Ashley Akbari, Joe Hollinghurst, Richard Fry, and Angharad Walters

Subjects
Gerontology, Male, medicine.medical_specialty, Aging, Cost-Benefit Analysis, Geriatric Medicine, Poison control, Information Storage and Retrieval, frailty, 030204 cardiovascular system & hematology, Suicide prevention, Health informatics, Severity of Illness Index, Occupational safety and health, older people, 03 medical and health sciences, 0302 clinical medicine, Health care, Protocol, Medicine, Humans, Information governance, 030212 general & internal medicine, Longitudinal Studies, health informatics, Aged, Proportional Hazards Models, Retrospective Studies, home interventions, Geriatrics, Aged, 80 and over, Wales, business.industry, General Medicine, electronic health record, Middle Aged, Patient Acceptance of Health Care, 3. Good health, Accidents, Home, Research Design, Quality of Life, Accidental Falls, Female, business, Fall prevention
Abstract

IntroductionThis study will evaluate the effectiveness of home adaptations, both in preventing hospital admissions due to falls for older people, and improving timely discharge. Results will provide evidence for services at the interface between health and social care, informing policies seeking to promote healthy ageing through prudent healthcare and fall prevention.Methods and analysisAll individuals living in Wales, UK, aged 60 years and over, will be included in the study using anonymised linked data from the Secure Anonymised Information Linkage Databank. We will use a national database of home modifications implemented by the charity organisation Care & Repair Cymru (C&R) from 2009 to 2017 to define an intervention cohort. We will use the electronic Frailty Index to assign individual levels of frailty (fit, mild, moderate or severe) and use these to create a comparator group (non-C&R) of people who have not received a C&R intervention. Coprimary outcomes will be quarterly numbers of emergency hospital admissions attributed to falls at home, and the associated length of stay. Secondary outcomes include the time in moving to a care home following a fall, and the indicative financial costs of care for individuals who had a fall. We will use appropriate multilevel generalised linear models to analyse the number of hospital admissions related to falls. We will use Cox proportional hazard models to compare the length of stay for fall-related hospital admissions and the time in moving to a care home between the C&R and non-C&R cohorts. We will assess the impact per frailty group, correct for population migration and adjust for confounding variables. Indicative costs will be calculated using financial codes for individual-level hospital stays. Results will provide evidence for services at the interface between health and social care, informing policies seeking to promote healthy ageing through prudent healthcare and prevention.Ethics and disseminationInformation governance requirements for the use of record-linked data have been approved and only anonymised data will be used in our analysis. Our results will be submitted for publication in peer-reviewed journals. We will also work with lay members and the knowledge transfer team at Swansea University to create communication and dissemination materials on key findings.

Published
2018

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