Mr Gavin Rudge Msc

Institute of Applied Health Research
Research Fellow

Contact details

90 Vincent Drive
Public Health, Epidemiology and Biostatistics
Institute of Applied Health Research
College of Medical and Dental Sciences
University of Birmingham
B15 2TT

Gavin Rudge is a research Fellow in the Institute of APplied Health Research. He has 13 years experience in Health Services research and prior to joining the University had a career in the Health Service as an information analyst and a Clinical Audit manager.

His research interests are health geography, quality in healthcare and data mining.

He is currently involved in research in health and housing, mortality prediction using secondary care data and diffusion of novel technologies in medical devices.


  • MSc in Managing Quality in Health Care 2003


Gavin has worked in the health sector since 1991, when he became a workforce analyst at the West Midlands Regional Health Authority. Drawing on earlier industry experience in quality measurement, he then joined the first wave of clinical audit staff employed in the NHS, first as a medical audit facilitator working with GPs in a Family Health Services Authority and then as a Clinical Audit manager in a community services provider trust. In this role he worked principally in adult mental health, but also in learning disabilities, community paediatrics and other community provided clinical services. He joined the Department of Public Health at the University of Birmingham in 2000 initially to work on a case mix measurement project drawing on his background in working with routinely collected data. He then went on to manage the West Midlands Accident and Emergency Surveillance Centre hosted here in the University and also ran the Regional ‘Safe Haven’ which was a programme to provide data and data analysis to the local health economy using access to the national secondary care database. This was supported by the West Midlands Levy Fund.

Since April 2011 he has worked in a team headed by Professor Richard Lilford here in the Department, which undertakes a wide ranging work programme in Health Services Research. See the section on resesarch for further details.

He has recently been a successful co-applcant for an NIHR funded natioanl study to explore the effects of extended consultant hours in acute hospital settings.  The 3-year study commenced in January 2014.


Postgraduate supervision

Gavin supervises Masters dissertations on the Masters in Public Health (MPH) programme


Quality and outcome in secondary care: Gavin has recently commenced work on a case-controlled study of 24/7 consultant care in acute hospitals in England.

Health and Housing: Gavin is currently researching the impact of improvements in social housing in a deprived area of the region on health outcomes (funded by NIHR).

Food and environment: He is working on a paper using novel geo-statistical methods to measure the food environment of a population in central england (funded by NIHR)

Health Tecnology: He is working on a project to assess the utility of routinely collected data sets to assess the diffusion of emerging technologies in medical devices (funded by NICE).

Accident and Emergency Services: He completed a population model of Accident and Emergency Department attendance in a large population which was published in 2013.  Further similar stdies of patient flow through emergency care systems are planned.

Gavin’s interest in Geographical Information Systems leads to a number of requests for support in other research programmes where analysis and visualisation of spatial variables are needed or where skills in handling neighbourhood profiling data are required. In this capacity he advises or supports projects in a wide range of areas such as: medical education, childhood obesity, research into secondary care re-configuration, climate and health and synthetic estimation of deprivation in non-standard geographies.


Rudge G, Mohammed MA, Fillingham SC, Girling A, Stevens AJ. (2013) The combined influence of distance and neighbourhood deprivation on Emergency Department attendance in a large English population: a retrospective database study.  PLOS 1. 2013, DOI: 10.1371/journal.pone.006794

Mohammed M; Lilford R; Rudge G; Holder R; Stevens A (2013) The findings of the Mid-Staffordshire Inquiry do not uphold the use of hospital standardized mortality ratios as a screening test for 'bad' hospitalsQJM 2013; doi: 10.1093/qjmed/hct101

Mohammed MA, Rudge G, Wood G, et al (2012) Which Is More Useful in Predicting Hospital Mortality -Dichotomised Blood Test Results or Actual Test Values? A Retrospective Study in Two Hospitals.  PLOS1 7(10): e46860. doi:10.1371

Mohammed M.A, Sidhu KS, Rudge G, Stevens AJ. (2012) Weekend admission to hospital has a higher risk of death in the elective setting than in the emergency setting: A retrospective database study of national health service hospitals in England.  BMC Health Services Research. 2012, 12:87

Benning A, Nwulu U, Ghaleb M, Dawson J, Barber N, Dean-Franklin B, Girling A, Hemming K, Carmalt M, Rudge G, Dixon-Woods M, Naicker T, Kotecha A , Lilford R. (2011) A controlled evaluation of the second phase of a complex patient safety intervention in English hospitals. BMJ. 2011; 342:doi:10.1136/bmj.d195

Mohammed MA, Deeks JJ, Girling A, Rudge G, Carmalt M, Stevens AJ, Lilford RJ. Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals. BMJ 338:b780

Rudge G, Cheng K, Fillingham S, Cooke M, Stevens A.(2008) How has the extension of drinking hours in England affected patterns of Emergency Department use at a large urban hospital? Annals of Emergency Medicine 51:4, 553

Taylor J, Law G, Boyle P, Feng Z, Gilthorpe M, Parslow R, Rudge G, Feltbower R, (2008) Does population mixing measure infectious exposure in children at the community level? European Journal of Epidemiology 23:593-600

Downing A, Rudge G, Cheng Y, Tu YK, Keen J, Gilthorpe MS, (2007) Do the UK government's new Quality and Outcomes Framework (QOF) scores adequately measure primary care performance? A cross-sectional survey of routine healthcare data. BMC Health Services Research, 7:166