Complexity in Health
Our Complexity in health programme develops and applies research methods that are designed for understanding the variety of interdependent factors that shape the impact of interventions and policies that aim to improve health and to reduce health inequalities.
Public health interventions, whose mechanisms rely solely on human agency, often fail to bring about sustained improvement in health, and may increase social inequalities in health.
Strategies are more likely to be effective if underpinned by explicit theoretical frameworks and perspectives that take account of context and complexity. These include the socio-ecological model, complex systems theory and realist evaluation which highlights the need to not just identify ‘what works’ but ‘what works, for whom, under what circumstances and why’.
Our programme has four overlapping workstreams: Modelling Complex Systems, Schools and Educational Settings, Methods Development and Translation, and Development and Evaluation of Complex Interventions.
Our programme aims to lead international efforts in the application and dissemination of novel methods to identify the most effective means to improve population health and to reduce inequalities. We work to create a world-class, collaborative environment to support the successful implementation of translational research in public health improvement.
Our objectives are to:
- Develop and translate methods and processes that support the involvement of stakeholders in all stages of development, evaluation and implementation.
- Develop and normalise a wider range of approaches to evaluation, including complex systems approaches and other methods more suited to the evaluation of meso-, macro- and multi-level interventions.
- Develop and apply agent based models to a range of public health issues including social care, welfare reform and place-based health.
- Develop and evaluate complex interventions, particularly focusing on healthy ageing, adolescent health and educational settings.
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