Aziz Sheikh (OBE, FRSE, FMedSci)
Chair of Primary Care Research and Development
- Usher Institute
- College of Medicine and Veterinary Medicine
Contact details
Address
- Street
-
Usher Institute – University of Edinburgh
Old Medical School
Teviot Place - City
- Edinburgh
- Post code
- EH8 9AG
- Street
-
Usher Institute – University of Edinburgh
NINE
9 Little France Road
Edinburgh BioQuarter - City
- Edinburgh
- Post code
- EH16 4UX
Background
Professor Sheikh is Director of the Usher Institute. He is also Director of the Asthma UK Centre for Applied Research (AUKCAR), Director of the Scottish Allergy and Respiratory Academy (SARA), Director of the NIHR Global Respiratory Health Unit (RESPIRE) and is Co-Director of the NHS Digital Academy.
Qualifications
BSc, MBBS, MSc, MD, FRCGP, FRCP, FRCPE, FFPH, FACMI, FFCI, FRSE, FMedSci
Responsibilities & affiliations
Currently Aziz holds a number of visiting chairs, namely: University of Birmingham (UK), Queen Mary’s University of London (UK) and Maastricht University (Netherlands). He was previously Visiting Professor of Medicine at Harvard Medical School.
He is an editorial board member of BMC Medicine, Health Informatics Journal, Journal of the Royal Society of Medicine, Medical Care and PLOS Medicine, and is Editor-in-Chief of npj: Primary Care Respiratory Medicine.
Aziz was made an Officer of the Order of the British Empire for Services to Medicine and Health Care by Her Majesty Queen Elizabeth II in 2014.
Research summary
Aziz is a primary care academic and epidemiologist with substantial research interests in asthma/allergy and in leveraging the potential of health information technology and data science to transfrom the delivery of care and improve population health.
He enjoys collaborations with academic colleagues across the globe and works closely with policymakers both in the UK and internationally.
He has held research grants in excess of $90m, publishes regulalrly in the world's foremost journals, has over 50,000 citations to his work and is a Highly Cited Researcher (Clarivate, 2018).
Project activity
Aziz's projects include work on health inequalities and asthma.
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Health worker and patient views on implementation of smoking cessation in routine tuberculosis care
In:
npj Primary Care Respiratory Medicine
DOI: https://doi.org/doi.org/10.1038/s41533-019-0146-6
Contribution to journal › Article (Published) -
A cross-country time and motion study to measure the impact of electronic medication management systems on the work of hospital pharmacists in Australia and England
In:
International journal of medical informatics
DOI: https://doi.org/10.1016/j.ijmedinf.2019.06.011
Contribution to journal › Article (Published) -
Understanding how consumers with food allergies make decisions based on precautionary labelling
In:
Clinical and Experimental Allergy
DOI: https://doi.org/10.1111/cea.13479
Contribution to journal › Article (Published) -
Upskilling healthcare professionals to manage clinical allergy
In:
Clinical and Experimental Allergy
Contribution to journal › Article (Accepted/In press) -
Psychosocial working conditions and the subjective prognosis of gainful employment among employees with asthma: a cross-sectional study
In:
Disability and rehabilitation
Contribution to journal › Article (Accepted/In press) -
Identification of policy priorities to address the burden of smokeless tobacco in Pakistan: a multi-method analysis
In:
Nicotine and Tobacco Research
Contribution to journal › Article (Accepted/In press) -
Mobile technology in allergic rhinitis: evolution in management or revolution in health and care?
In:
The journal of allergy and clinical immunology. In practice
DOI: https://doi.org/10.1016/j.jaip.2019.07.044
Contribution to journal › Article (Published) -
Investigating the impact of England’s smoke-free car regulation on changes in tobacco smoke exposure and respiratory disease in children: a quasi-experimental study
In:
The Lancet. Public health
Contribution to journal › Article (Accepted/In press) -
Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model
In:
BMJ Open, vol. 9
DOI: https://doi.org/10.1136/bmjopen-2018-028375
Contribution to journal › Article (E-pub ahead of print) -
Identifying 'avoidable harm' in family practice: A RAND/UCLA Appropriateness Method consensus study
In:
BMC Family Practice
Contribution to journal › Article (Accepted/In press)