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Our research aims to improve people's health and wellbeing by making the most efficient use of health and social care resources. To achieve this, we use real-world data and mathematical models to evaluate the costs and consequences of applying different interventions over a period of time, often the entire lifetime of patients.

Medical doctor working with operating room as concept

Our research informs the decision-making process by international, national or local authorities when they examine evidence to decide which interventions to fund, as well as supporting patients with information and tools that help them make better-informed decisions.

Real-world data is generated not from clinical trials but from observational studies, cohorts, registries, and the like. Using real-world data combined with mathematical models gives us incredible insight over what works and what does not, and allows us to maximise our resources.

We also research about outcome measures, i.e. the different ways of capturing the benefits to people of the interventions we study, and examine how well they pick up what is important for patients and how they change over time.

We conduct these analyses in the context of many different conditions, but our work generally focuses on musculoskeletal diseases, more specifically osteoporosis and fracture prevention, rare musculoskeletal diseases, and osteoarthritis.

We commonly study surgical procedures (of the hip, knee, shoulder, ankle) compared to other surgical approaches or to non-surgical interventions, as well as post-fracture care programmes for people with osteoporosis such as Fracture Liaison Services.

Related research themes