A Rapid Evidence Support System Assessment (RESSA) of health policymaking in Ireland - A Protocol

Evidence-informed policymaking promotes the use of the best available evidence in a systematic and transparent manner to guide policy decisions. It aims to ensure that policies are grounded in credible and relevant evidence while also considering factors such as feasibility, sustainability, equity, and stakeholder input. The Global Evidence Commission has emphasised the necessity for stronger national evidence infrastructures and recommended that governments evaluate their evidence-support systems, focusing on the demand for evidence from policymakers, the supply of timely and relevant evidence, and the coordination between the two. To assist countries in reviewing their evidence-support systems, the Global Commission on Evidence to Address Societal Challenges developed the Rapid Evidence Support System Assessment (RESSA). Here, we outline the protocol for a RESSA of health policymaking being conducted in Ireland.

This study will adopt a flexible, mixed-methods design with four key stages: (1) a high-level website review, (2) an in-depth document review, (3) semi-structured interviews with key stakeholders, and (4) seeking feedback. For the document review, the data analysis and synthesis process will follow the READ approach, allowing for a systematic way to organise, interpret, and synthesise the information extracted from the selected documents. Interview data will be analysed using a thematic approach. Findings from both sources will be triangulated to ensure robust conclusions about the strengths and challenges of the evidence-support system for health policymaking.

This protocol outlines the methods for assessing Ireland's evidence support system for health policymaking. By documenting our approach in detail, we aim to enhance transparency and replicability, providing a foundation for easier comparison and contrast with similar assessments conducted by other groups. While this study focuses on health, the methodology and findings may also inform evidence-support systems in other sectors, such as climate and education.