Evaluating the effect of income support policies on social health inequalities (SHIs) at birth in Montreal and Brussels using a contextualised comparative approach and model family method: a study protocol

Introduction Assessing the effects of social policies on social health inequalities (SHIs) is a complex issue. Variations in social policy between countries or regions provide natural experiments in policy implementation to perform comparative research. Comparisons are most enlightening when: the object of the evaluation is well defined (types of policies, population groups); the context of policy is analysed (history, implementation); the impact of policy on household poverty is outlined in detail; the influence of various factors (other than poverty) on SHI is taken into consideration. Methods and analysis This study aims to understand how income support policies (ISPs) in Brussels and Montreal influence the poverty level of households receiving social assistance, and how they are associated with SHI at birth. Two cases studies will be carried out from a comparative perspective. The analysis includes four stages : (1) The model family method will be used to compare ISPs and their impact on disposable income and poverty of households receiving social assistance in both regions. (2) Statistical analysis of administrative databases will enable the description and comparison of SHI in adverse pregnancy outcomes across the two regions. (3) Analysis of databases and documents will allow for description of various factors which are likely to interact with poverty and influence SHI at birth. (4) Based on the Diderichsen model, results from the previous stages will be used to formulate hypotheses about the mechanisms by which ISPs contribute to increasing or reducing SHI at birth in both regions. Ethics and dissemination This research was approved by the Human Research Ethics Committee for Health research of Université de Montréal. In Belgium, the access to linked databases was approved by the Commission for the Protection of Privacy. Databases de-identified according to Belgian and Canadian legislation will be used. Results will be disseminated in scientific publications and will be shared with policy makers and field actors through collaborations with local organisations in Brussels and Montreal