Completed Public Health & Healthcare Psychology & Behaviour

Complexity in Health

In plain English

AI plain-English summary

A single policy change—like a new school meal programme or a housing benefit cut—ripples through a person’s health in ways that are almost impossible to predict. This is because health is shaped by a tangled web of social, economic, behavioural, and environmental factors that interact in what researchers call a complex adaptive system. These systems resist simple fixes, and standard evaluation methods often fail to capture how a change in one area (say, employment) alters outcomes in another (such as mental health). The research aims to develop new analytical tools—simulation models and participatory methods—that can map these interactions and tell decision-makers what works, for whom, and under what circumstances. If successful, the work will give policymakers in mental health, ageing, adolescent health, social care, and schools a clearer basis for targeting investment. Instead of guessing which intervention might reduce inequalities, they could test scenarios virtually before committing public money. The project is fundamentally methodological: it does not test a specific programme, but builds the toolkit needed to evaluate any programme operating within a complex system.

View original technical description
We know that population health and health inequalities are a product of the complex interplay of many different factors, including social, behavioural, economic, political and environmental determinants of health. These factors come together in complex adaptive systems that are often resistant to change. This makes it very difficult to find out how we can improve health, or to understand or predict the impact on health of different policies or interventions. We aim to provide leadership in the development of new research methods to evaluate programmes that aim to improve health and reduce inequalities in health. This work is important since decision makers need to understand where to target effort and investment. It is imperative that we can identify what works, for whom, under what circumstances and why. We will further develop and apply methods to help researchers, decision makers and the public share their knowledge to gain richer understandings of how multiple factors come together to influence heath and inequalities. We will use simulation and evaluation methods to identify solutions that contribute to improve health and reduce inequalities. Our work will focus on mental health, healthy ageing, adolescent health, social care and healthy schools.

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Researchers

Laurence Moore (Principal Investigator)Sharon Simpson (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Complexity in Health Improvement
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Original classification

Intramural

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