Measuring the bias against low-income country research: an Implicit Association Test
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RESEARCH
Open Access
Measuring the bias against low-income country research: an Implicit Association Test Matthew Harris1* , James Macinko2, Geronimo Jimenez3 and Pricila Mullachery4
Abstract Background: With an increasing array of innovations and research emerging from low-income countries there is a growing recognition that even high-income countries could learn from these contexts. It is well known that the source of a product influences perception of that product, but little research has examined whether this applies also in evidence-based medicine and decision-making. In order to examine likely barriers to learning from low-income countries, this study uses established methods in cognitive psychology to explore whether healthcare professionals and researchers implicitly associate good research with rich countries more so than with poor countries. Methods: Computer-based Implicit Association Test (IAT) distributed to healthcare professionals and researchers. Stimuli representing Rich Countries were chosen from OECD members in the top ten (>$36,000 per capita) World Bank rankings and Poor Countries were chosen from the bottom thirty ($36,000 per capita) rankings and poor countries were chosen from the bottom thirty (
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