Racialised+-resized

Data on racialised groups

Conduct a literature review (systematic search and critical analysis) about health research and data on racialised groups

Abstract

The RECoRD (Race-Conscious Research and Data) project is a study of the conception, collection, use, and deployment of data and research on racially minoritised groups in health research in Europe (Belgium, France, and the Netherlands).

Racial health disparities have long been established in Europe, and indeed, these observed disparities were particularly striking during Covid-19 pandemic - an increasing body of international research is showing that racially minoritised groups have been disproportionately affected both by the disease and the measures taken to contain or mitigate the pandemic. In order to understand and address both emerging and existing health disparities among such groups, researchers and policymakers must obtain and use data to build evidence that informs decision-making and action on key structural and social determinants of health. Yet, while research on racial disparities in health has increased since 2018, there is still a significant knowledge gap, because historically, across Europe, data, and research on racially minoritised groups have not been collected or carried out in a sufficient, adequate, or appropriate manner.

The RECoRD project aims to help fill this gap by contributing to building expertise on and promoting a race-conscious approach to health research, and ultimately, improving equality and equity in health. The project begins with a systematic search and review that examines how research on racially minoritised groups is conducted, how data on racial health disparities is collected, and how it could and should be improved. The results of the review will then be used to develop guidance on how to appropriately use and deploy data on racially minoritised groups in order to effectively use the results to address racial health disparities.

Details

  • Ongoing initiative

  • Started in 2022 under datahub / EWI funding