Big Health Data Research
We are interested in studying the burden of musculoskeletal conditions to the NHS, other national healthcare systems, and to the whole society.
We explore routinely collected data as a primary source to understand the frequency, magnitude, and factors associated with both prevalent and rare musculoskeletal conditions.
This approach enables us to understand the natural history of complex conditions such as arthritis (osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, amongst others) or bone diseases such as osteoporosis and its main complication, fragility fractures.
We use complex statistical modelling techniques to disentangle the causes underlying the observed associations, and to provide clinicians, commissioners, and patients with reliable information on the relevance of each particular condition from different perspectives.
As part of this, we have established a number of international collaborations with world experts in bioinformatics, statistics, epidemiology, rheumatology, and orthopaedic surgery. With them, we try to improve not only the amount and the quality of data available, but also the methods used to analyse and interpret old and newly gathered information.
Our team
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Daniel Prieto-Alhambra
Associate Professor and NIHR Clinician Scientist
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Andrew Judge
Associate Professor and Senior Statistician
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Wulf Forrester-Barker
Information Governance Manager
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Antonella Delmestri
Database Manager
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Paloma O'Dogherty Cordero
P.A to Daniel Prieto-Alhambra and Research Facilitator
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Rafael Pinedo Villanueva
Senior Research Associate in Health Economics
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Samuel Hawley
Epidemiology Statistician, DPhil Student
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Gulraj Matharu
Clinical Research Fellow in Orthopaedics
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Sara Khalid
Statistician/Epidemiologist
User Group Representatives
NDORMS Information Security Policy
We deal with large volumes of sensitive data and gained NHS Information Governance Toolkit certification in 2015 to give assurance to data providers. It works within information governance policies for the whole department.
Selected publications
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Incidence and Predictors of Multiple Fractures Despite High Adherence to Oral Bisphosphonates: A Binational Population-Based Cohort Study.
Hawley S. et al, (2016), J Bone Miner Res, 31, 234 - 244
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Association between bisphosphonate use and implant survival after primary total arthroplasty of the knee or hip: population based retrospective cohort study.
Prieto-Alhambra D. et al, (2011), BMJ, 343
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Hormone replacement therapy and mid-term implant survival following knee or hip arthroplasty for osteoarthritis: a population-based cohort study.
Prieto-Alhambra D. et al, (2015), Ann Rheum Dis, 74, 557 - 563
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Adverse outcomes after total and unicompartmental knee replacement in 101,330 matched patients: a study of data from the National Joint Registry for England and Wales.
Liddle AD. et al, (2014), Lancet (London, England), 384, 1437 - 1445
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Mortality rates at 10 years after metal-on-metal hip resurfacing compared with total hip replacement in England: retrospective cohort analysis of hospital episode statistics.
Kendal AR. et al, (2013), BMJ, 347
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90-day mortality after 409,096 total hip replacements for osteoarthritis, from the National Joint Registry for England and Wales: a retrospective analysis.
Hunt LP. et al, (2013), Lancet, 382, 1097 - 1104
Ongoing Projects
- European Program of Post-Authorisation Safety Studies for Protelos®/Osseor® through EU-ADR Alliance
- Risks and benefits of bisphosphonate use in patients with chronic kidney disease: a population-based cohort study: BisCK
- Comparative safety of anti-fracture therapies in the community and in specific groups of patients in the UK: a cohort study
- Using NHS data for musculoskeletal epidemiology: the risk/benefit of total knee and hip arthroplasty in patients with rheumatoid arthritis, and the potential effects of biologics on reducing the need for surgery
- STAR - Support and Treatment After Replacement (STAR)
- ACHE Tool
- Models of care for the delivery of secondary fracture prevention after hip fracture
User Group
Collaborators
- Medical Informatics, Erasmus MC, Netherlands
- EU ADR Alliance
- SIDIAP Database, Idiap Jordi Gol, Barcelona, Spain
- MRC Life course Epidemiology Unit, Southampton, United Kingdom
- Musculoskeletal Research Unit, Fundacio IMIM, PRBB, Barcelona, Spain
- OPEN – Odense Patient data Explorative Network, University of Southern Denmark, Denmark
- Musculoskeletal Research Unit, Bristol University
- Health Economics Research Centre
