Abstract

Abstract Background Welfare rights advice has potential to help address the social determinants of health and reduce inequalities. Existing logic models identify the sequence of proximal to distal outcomes following welfare advice, but attribution remains challenging. This paper reports on the contextual influences and key mechanisms leading to health outcomes. Methods We undertook comprehensive searches of the literature addressing the links between welfare advice and health. Titles and abstracts were screened first, then full text, using inclusion and exclusion criteria. Employing a realist logic of analysis, data extraction and synthesis focused on disentangling evidence of how and why advice improves (or not) health related outcomes, depending on the context. These insights were then paired with existing theory (either explicitly referenced or inferred by authors), in order to produce a robust explanatory model of when and how advice leads to improved health. Results 59 articles were included in the analysis. Preliminary findings point to the significance of target group in influencing the types of outcomes achieved. Fineman’s (2013) typology of embodied, situational and structural vulnerability helped explain the differential impact of advice. Where people experience embodied vulnerabilities, such as life-limiting illness or disabling physical or mental health conditions, advice may increase quality of life, but is less likely to improve existing health status. Likewise, advice interventions alone are unlikely to alter health outcomes stemming from entrenched structural disadvantages such as poverty or discrimination, and appear to be most effective in addressing situational vulnerabilities generated more temporarily by difficult circumstances. Conclusions The review provides a more nuanced understanding of how and why welfare advice may impact on health. These insights will help to more appropriately target, tailor and monitor the health impact of welfare advice. Key messages Welfare advice has differential impact, depending on specific client vulnerabilities. This highlights the importance of appropriate targeting, and selecting suitable measures of success.

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