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A large-scale study of anxiety and depression in people with Multiple Sclerosis: a survey via the web portal of the UK MS Register

PloS one, 2012-07, Vol.7 (7), p.e41910-e41910

2012

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The SAIL Databank: building a national architecture for e-health research and evaluation

BMC health services research, 2009-09, Vol.9 (1), p.157-157, Article 157

2009

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Use of data linkage to measure the population health effect of non-health-care interventions

The Lancet (British edition), 2014-04, Vol.383 (9927), p.1517-1519

2014

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The SAIL databank: linking multiple health and social care datasets

BMC medical informatics and decision making, 2009-01, Vol.9 (1), p.3-3, Article 3

2009

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How people with multiple sclerosis rate their quality of life: an EQ-5D survey via the UK MS register

PloS one, 2013-06, Vol.8 (6), p.e65640-e65640

2013

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Physical disability, anxiety and depression in people with MS: an internet-based survey via the UK MS Register

PloS one, 2014-08, Vol.9 (8), p.e104604-e104604

2014

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United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study protocol

BMJ open, 2021-06, Vol.11 (6), p.e046392-e046392

2021

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Contacts with primary and secondary healthcare prior to suicide: case–control whole-population-based study using person-level linked routine data in Wales, UK, 2000–2017

British journal of psychiatry, 2020-12, Vol.217 (6), p.717-724

2020

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Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study

BJPsych open, 2022-03, Vol.8 (2), p.e47-e47, Article e47

2022

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The physical and psychological impact of multiple sclerosis using the MSIS-29 via the web portal of the UK MS Register

PloS one, 2013-01, Vol.8 (1), p.e55422-e55422

2013

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The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS

BMC medical informatics and decision making, 2012-07, Vol.12 (1), p.73-73, Article 73

2012

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The other side of the coin: Harm due to the non-use of health-related data

International journal of medical informatics (Shannon, Ireland), 2017-01, Vol.97, p.43-51

2017

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The impact of smoking cessation on multiple sclerosis disease progression

Brain (London, England : 1878), 2022-05, Vol.145 (4), p.1368-1378

2022

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Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review

Journal of medical Internet research, 2020-05, Vol.22 (5), p.e16346-e16346

2020

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Mental health of people with multiple sclerosis during the COVID-19 outbreak: A prospective cohort and cross-sectional case–control study of the UK MS Register

Multiple sclerosis, 2022-06, Vol.28 (7), p.1060-1071

2022

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A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation

Journal of biomedical informatics, 2014-08, Vol.50 (100), p.196-204

2014

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Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study

Journal of medical Internet research, 2019-08, Vol.21 (8), p.e14384-e14384

2019

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Commentary on ‘Disability outcome measures in multiple sclerosis clinical trials’

Multiple sclerosis, 2012-12, Vol.18 (12), p.1718-1720

2012

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Cohort Profile: Longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)

International journal of epidemiology, 2023-02, Vol.52 (1), p.e46-e56

2023

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Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic

International journal of medical informatics (Shannon, Ireland), 2021-05, Vol.149, p.104400-104400, Article 104400

2021

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A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

Journal of medical Internet research, 2020-09, Vol.22 (9), p.e18234-e18234

2020

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Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

BMJ open, 2019-04, Vol.9 (4), p.e023232-e023232

2019

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Willingness to receive a COVID-19 vaccine in people with multiple sclerosis – UK MS Register survey

Multiple sclerosis and related disorders, 2021-10, Vol.55, p.103175-103175, Article 103175

2021

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Protocol for a population-based ankylosing spondylitis (PAS) cohort in Wales

BMC musculoskeletal disorders, 2010-09, Vol.11 (1), p.197-197, Article 197

2010

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A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage

Schizophrenia research, 2015-08, Vol.166 (1), p.131-136

2015

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A large-scale study of anxiety and depression in people with Multiple Sclerosis: a survey via the web portal of the UK MS Register

The SAIL Databank: building a national architecture for e-health research and evaluation

Use of data linkage to measure the population health effect of non-health-care interventions

The SAIL databank: linking multiple health and social care datasets

How people with multiple sclerosis rate their quality of life: an EQ-5D survey via the UK MS register

Physical disability, anxiety and depression in people with MS: an internet-based survey via the UK MS Register

United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study protocol

Contacts with primary and secondary healthcare prior to suicide: case–control whole-population-based study using person-level linked routine data in Wales, UK, 2000–2017

Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study

The physical and psychological impact of multiple sclerosis using the MSIS-29 via the web portal of the UK MS Register

The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS

The other side of the coin: Harm due to the non-use of health-related data

The impact of smoking cessation on multiple sclerosis disease progression

Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review

Mental health of people with multiple sclerosis during the COVID-19 outbreak: A prospective cohort and cross-sectional case–control study of the UK MS Register

A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation

Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study

Commentary on ‘Disability outcome measures in multiple sclerosis clinical trials’

Cohort Profile: Longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)

Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic

A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

Willingness to receive a COVID-19 vaccine in people with multiple sclerosis – UK MS Register survey

Protocol for a population-based ankylosing spondylitis (PAS) cohort in Wales

A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage

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