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elderly care and community medicine

Rosemary Tate

Name: Dr Rosemary Tate

Academic position: Senior Research Fellow

Research: Development of methods and strategies that will help realise the potential of large primary care databases for health service research 

Contact details:

Room 321 Mayfield House
Brighton and Sussex Medical School
University of Sussex
Falmer
Brighton BN1 9PH

Tel: +44 (0)1273 644562
Fax: +44 (0)1273 644440

E-mail: r.tate@bsms.ac.uk


Biography:

  • BSc Mathematics, University of Sussex. 1990 
  • MSc, Knowledge-Based Systems University of Sussex. 1991 
  • DPhil Computer Science and Artificial Intelligence, University of Sussex. 1996 
  • Visiting Research Fellow University of Sussex 1997-2004
  • Research Fellow Imperial College 1997-1998
  • Research Fellow St George’s Hospital Medical School 1998-2000
  • Senior Research Fellow St George’s Hospital Medical School 2000-2002
  • MSc Medical Statistics, London School of Hygiene and Tropical medicine 2003
  • Lecturer in Biostatistics Institute of Child Health London 2004-2005
  • Lecturer in Biostatistics, Institute of Psychiatry 2005-2007
  • Visiting Lecturer Institute of Psychiatry 2007-present

 

Research Focus:

I am particularly interested in investigating sources and effects of bias in epidemiological studies and in information visualisation.

Prior to becoming a medical statistician, I specialised in pattern recognition analysis applied to magnetic resonance spectra, and developed methods to help radiologists interpret spectra of brain tumours (latterly as scientific manager of a large EU funded project, INTERPRET http://azizu.uab.es/INTERPRET/index.html). My work as a statistician has involved working with data from two large cohort studies (Millennium cohort and the Iraq war study). Since joining BSMS I have been analysing data from the General Practice research database. I am currently investigating symptoms and delays in diagnosis in patients with ovarian cancer and plan to use free text to see how much the lack of it biases estimates.  Data from electronic patient records has the advantage over survey data in that it is not subject to recall or non-response bias. However there are many challenges to be overcome in order to realize the full potential of electronic patient record databases for health service research.

 

Current research:

I am the scientific manager of a multidisciplinary project funded by the Wellcome Trust entitled  “The ergonomics of electronic patient records: an interdisciplinary development of methodologies for understanding and exploiting free text to enhance the utility of primary care electronic patient records.” under the Joint Initiative in Electronic Patient Records and Databases in Research Scheme.

The project is a joint collaboration between the Brighton and Sussex Medical

School (BSMS) and the Department of Informatics at the University of

Sussex, the Open University, the General Practice Research Database and University College London.  It is led by Professor Jackie Cassell (Principal Investigator), with Dr Rosemary Tate, Professor John Carroll and Dr Geraldine Fitzpatrick leading workstreams at BSMS and Sussex.

 

Key/recent publications:

A. Rosemary Tate, Alexander G. R. Martin, Tarita Murray-Thomas, Sarah R. Anderson, and Jackie A. Cassell. Determining the date of diagnosis - is it a simple matter? The impact of different approaches to dating diagnosis on estimates of delayed care for ovarian cancer in UK primary care. BMC Medical Research Methodology, 9, June 2009.

A. Rosemary Tate, Amanda C. Nicholson, and Jackie A. Cassell. Are GPs under-investigating older patients with ovarian cancer? British Journal of Cancer, advance online publication, 2 March 2010; doi:10.1038/sj.bjc.6605593

A. R. Tate, M. Jones, L. Hull, N. T. Fear, R. Rona, S. Wessely, and M. Hotopf. How many mailouts? Could attempts to increase the response rate in the Iraq war cohort study be counterproductive? BMC Medical Research Methodology, 7, 2007.

Anne R. Tate and Joshua Underwood et al. Development of a Decision Support System for Diagnosis and Grading of Brain Tumours using in-vivo Magnetic Resonance Single Voxel Spectra. NMR in Biomedicine, 19:411–434, 2006.

A. Rosemary. Tate, Calderwood Lisa, Joshi Heather, Dezateux Carol, and the Millennium Cohort Study Child Health Group. Mother’s consent to linkage of survey data with her child’s birth records in a multi-ethnic national cohort study. Int. J. Epidemiol, 35(2):294–298, 2006.

Matthew Hotopf, Lisa Hull, Nicola T. Fear, Tess Browne, Oded Horn, Amy Iversen, Margaret Jones, Dominic Murphy, Duncan Bland, Mark Earnshaw, Neil Greenberg, Jamie Hacker Hughes, A. Rosemary Tate, Christopher Dandeker, Roberto Rona, and Simon Wessely. The health of UK military personnel who deployed to the 2003 Iraq War a cohort study. The Lancet, 367:1731–1741, 2006.

A. R. Tate, C. Dezateux, and T. J. Cole. Is infant growth changing? Int. J. Obesity 2006 Jul;30(7):1094-6.

L. Samad, A. R. Tate, C. Dezateux, C. Peckham, N Butler and H. Bedford. Differences in risk factors for partial and no immunisation in the first year of life. BMJ 2006; 332: 1312-1313.

A. R. Tate, C. Dezateux, T. J.. Cole, L Davidson, and the Millennium Cohort Study Child Health Group. Factors affecting a mother’s recall of her baby’s birth weight. Int. J. Epidemiol., 34(3):688–695, 2005.

Christophe Ladroue, Franklyn A. Howe, John R. Griffiths, and A. Rosemary Tate. Independent component analysis for automated decomposition of in vivo magnetic resonance spectra. Magnetic Resonance in Medicine, 50(4):697–703, 2003.

A. Rosemary Tate, Carles Majos, Angel Moreno, Franklyn A. Howe, John R. Griffiths, and Carles Arus. Automated classification of short echo time in vivo 1 H brain tumour spectra: A multicentre study. Magnetic Resonance in Medicine, 49(1):29–36, January 2002.

A. Rosemary Tate, Joshua Underwood, Christophe Ladroue, Rosemary Luckin, and John R. Griffiths. Visualisation of multidimensional data for medical decision support. In S. Quaglini, P. Barahona, and S. Andreassen, (eds), Artificial Intelligence in Medicine, volume 2101 of Lecture Notes in Artificial Intelligence, 55–58. Springer-Verlag, 2001.