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Factors contributing to social inequalities are also associated with negativemental health outcomes leading to disparities in mental well-being. We proposea Bayesian hierarchical model which can evaluate the impact of policies onpopulation well-being, accounting for spatial/temporal dependencies. Buildingon an interrupted time series framework, our approach can evaluate howdifferent profiles of individuals are affected in different ways, whilstaccounting for their uncertainty. We apply the framework to assess the impactof the United Kingdoms welfare reform, which took place throughout the 2010s,on mental well-being using data from the UK Household Longitudinal Study. Theadditional depth of knowledge is essential for effective evaluation of currentpolicy and implementation of future policy.

Bayesian Interrupted Time Series for evaluating policy change on mental well-being: an application to England's welfare reform