|Using the Internet to conduct surveys of health professionals: a valid alternative?|
D Braithwaite, J Emery, S De Lusignan, S Sutton
Family practice 20 (5), 545-551, 2003
|Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity|
S Wahl, A Drong, B Lehne, M Loh, WR Scott, S Kunze, PC Tsai, JS Ried, ...
Nature 541 (7635), 81-86, 2017
|Chronic kidney disease management in the United Kingdom: NEOERICA project results|
PE Stevens, DJ O'donoghue, S De Lusignan, J Van Vlymen, B Klebe, ...
Kidney international 72 (1), 92-99, 2007
|The use of routinely collected computer data for research in primary care: opportunities and challenges|
S de Lusignan, C van Weel
Family practice 23 (2), 253-263, 2006
|Effectiveness of seasonal influenza vaccine in preventing laboratory-confirmed influenza in primary care in the United Kingdom: 2014/15 end of season results|
R Pebody, F Warburton, N Andrews, J Ellis, B von Wissmann, ...
Eurosurveillance 20 (36), 30013, 2015
|Compliance and effectiveness of 1 year's home telemonitoring. The report of a pilot study of patients with chronic heart failure|
S de Lusignan, S Wells, P Johnson, K Meredith, E Leatham
European journal of heart failure 3 (6), 723-730, 2001
|Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study|
JC Chambers, M Loh, B Lehne, A Drong, J Kriebel, V Motta, S Wahl, ...
The lancet Diabetes & endocrinology 3 (7), 526-534, 2015
|Identifying patients with chronic kidney disease from general practice computer records|
S de Lusignan, T Chan, P Stevens, D O'Donoghue, N Hague, B Dzregah, ...
Family practice 22 (3), 234-241, 2005
|Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study|
S de Lusignan, J Dorward, A Correa, N Jones, O Akinyemi, ...
The Lancet Infectious Diseases, 2020
|Patients’ online access to their electronic health records and linked online services: a systematic interpretative review|
S De Lusignan, F Mold, A Sheikh, A Majeed, JC Wyatt, T Quinn, M Cavill, ...
BMJ open 4 (9), e006021, 2014
|Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature|
ST Liaw, A Rahimi, P Ray, J Taggart, S Dennis, S de Lusignan, ...
International journal of medical informatics 82 (1), 10-24, 2013
|Codes, classifications, terminologies and nomenclatures: definition, development and application in practice|
S de Lusignan
Journal of Innovation in Health Informatics 13 (1), 65-69, 2005
|e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice|
CP Schade, FM Sullivan, S De Lusignan, J Madeley
Journal of the American Medical Informatics Association 13 (5), 470-475, 2006
|Assessing the prevalence, monitoring and management of chronic kidney disease in patients with diabetes compared with those without diabetes in general practice|
JP New, RJ Middleton, B Klebe, CKT Farmer, S De Lusignan, PE Stevens, ...
Diabetic medicine 24 (4), 364-369, 2007
|Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) sentinel network: a cohort profile|
A Correa, W Hinton, A McGovern, J van Vlymen, I Yonova, S Jones, ...
BMJ open 6 (4), 2016
|Who owns the data? Open data for healthcare|
P Kostkova, H Brewer, S de Lusignan, E Fottrell, B Goldacre, G Hart, ...
Frontiers in public health 4, 7, 2016
|Applying the COM-B behaviour model and behaviour change wheel to develop an intervention to improve hearing-aid use in adult auditory rehabilitation|
F Barker, L Atkins, S de Lusignan
International journal of audiology 55 (sup3), S90-S98, 2016
|National electronic library for health (NeLH)|
JAM Gray, S de Lusignan
Bmj 319 (7223), 1476-1479, 1999
|Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study|
JRW Brownrigg, CO Hughes, D Burleigh, A Karthikesalingam, ...
The Lancet Diabetes & Endocrinology 4 (7), 588-597, 2016
|A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data|
S De Lusignan, K Khunti, J Belsey, A Hattersley, J Van Vlymen, ...
Diabetic Medicine 27 (2), 203-209, 2010