Frameworks for describing health inequalities in observational public health research: a scoping review protocol.

INTRODUCTION

Observational studies play a pivotal role in understanding population health trends and informing public health policy. However, many such studies inadequately address dimensions of health inequality, potentially perpetuating existing disparities. There is currently no comprehensive overview of frameworks specifically designed to integrate health-inequality constructs into observational public health research. This protocol outlines the methodology of the scoping review, which aims to identify, describe and critically evaluate existing frameworks that explicitly incorporate health inequalities within observational studies.

METHODS AND ANALYSIS

We will conduct this scoping review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Six electronic databases (PubMed, Embase, Scopus, Web of Science, Global Health and CINAHL) and eligible grey literature sources will be searched using a combination of keywords and subject headings related to health inequalities, observational study design and frameworks. Two independent reviewers will perform title/abstract screening and full-text eligibility assessment using Rayyan, while discrepancies will be resolved by consultation with a third reviewer. Findings will be synthesised narratively.

ETHICS AND DISSEMINATION

As this study involves analysis of publicly available literature, formal ethical approval is not required. Results will be disseminated through publication in a peer-reviewed journal, presentations at relevant conferences and communication with key stakeholders in public health and equity research. The results will also be shared directly with charities and local organisations which focus on addressing health inequalities. By providing a comprehensive map of existing frameworks, this review will inform researchers on best practices for embedding health-inequality considerations in observational studies and support the development of more equitable research methodologies.