Resource Guides: DRIVE: Expanded Curriculum Appraisal Tool & Resources: Section 4: Research and References

Q4.1 Conflating Race

Ask Yourself: Is race defined in the paper appropriately as a social construct?

Probing question: Am I able to describe the role of genetics versus socioeconomic factors?

Example: Recognition of race as a surrogate for socio/politics and not differences in biology has many rethinking the use of race in clinical calculators and the role it should play when we share demographic data.

Q4.2 Representation in Research

Ask Yourself: Who are the researchers whose work I am citing?

Probing questions: Am I including a variety of perspectives, research traditions and the full international literature on the topic? How are the people being studied represented in the research design process and authorship?

Example: Citing literature from global journals advances the state of the science, while use of local data can advance understanding.

Section 4 Resources

Top Resources

Busse, C., & August, E. (2020). Addressing power imbalances in global health: Pre-Publication Support Services (PREPSS) for authors in low-income and middle-income countries. BMJ global health, 5(2), e002323. https://doi.org/10.1136/bmjgh-2020-002323
Hayes-Bautista, D. (2018). Black and White: Are Racial Categories Too Narrow? AAMC News and Insights. https://www.aamc.org/news-insights/insights/black-and-white-are-racial-categories-too-narrow.
Lahey T. (2013). The ethics of clinical research in low- and middle-income countries. Handbook of clinical neurology, 118, 301–313. https://doi.org/10.1016/B978-0-444-53501-6.00025-1
Stronks, K., Wieringa, N. F., & Hardon, A. (2013). Confronting diversity in the production of clinical evidence goes beyond merely including under-represented groups in clinical trials. Trials, 14, 177. https://doi.org/10.1186/1745-6215-14-177

African index Medicus - International index to African health literature and information sources

Section 4 Best Practice

DRIVE Best Practice: Incorporate research that reflects a wide range of populations and individuals in all levels of study design and acknowledge existing limitations in representation.