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@article{Harris:2017:10.1186/s12992-017-0304-y,
author = {Harris, MJ and macinko, J and jimenez, G and mullachery, P},
doi = {10.1186/s12992-017-0304-y},
journal = {Globalization and Health},
title = {Measuring the bias against low-income country research: an Implicit Association Test},
url = {http://dx.doi.org/10.1186/s12992-017-0304-y},
volume = {13},
year = {2017}
}

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TY  - JOUR
AB  - BackgroundWith 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.MethodsComputer-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 (<$1000 per capita) countries by GDP per capita, in both cases giving attention to regional representation. Stimuli representing Research were descriptors of the motivation (objective/biased), value (useful/worthless), clarity (precise/vague), process (transparent/dishonest), and trustworthiness (credible/unreliable) of research. IAT results are presented as a Cohen’s d statistic. Quantile regression was used to assess the contribution of covariates (e.g. age, sex, country of origin) to different values of IAT responses that correspond to different levels of implicit bias. Poisson regression was used to model dichotomized responses to the explicit bias item.ResultsThree hundred twenty one tests were completed in a four-week period between March and April 2015. The mean Implicit Association Test result (a standardized mean relative latency between congruent and non-congruent categories) for the sample was 0.57 (95% CI 0.52 to 0.61) indicating that on average our sample exhibited moderately strong implicit association
AU  - Harris,MJ
AU  - macinko,J
AU  - jimenez,G
AU  - mullachery,P
DO  - 10.1186/s12992-017-0304-y
PY  - 2017///
SN  - 1744-8603
TI  - Measuring the bias against low-income country research: an Implicit Association Test
T2  - Globalization and Health
UR  - http://dx.doi.org/10.1186/s12992-017-0304-y
UR  - http://hdl.handle.net/10044/1/51852
VL  - 13
ER  -

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