Cited by 119Meta-analysis and systematic reviewsscientometrics and bibliometrics researchAcademic Publishing and Open Access

Explicit Bias Toward High-Income-Country Research: A Randomized, Blinded, Crossover Experiment of English Clinicians

Harris, Matthew, Marti, Joachim, Watt, Hillary, Bhatti, Yasser, Macinko, James, Darzi, Ara W.·2017·Health Affairs

Abstract

Unconscious bias may interfere with the interpretation of research from some settings, particularly from lower-income countries. Most studies of this phenomenon have relied on indirect outcomes such as article citation counts and publication rates; few have addressed or proven the effect of unconscious bias in evidence interpretation. In this randomized, blinded crossover experiment in a sample of 347 English clinicians, we demonstrate that changing the source of a research abstract from a low- to a high-income country significantly improves how it is viewed, all else being equal. Using fixed-effects models, we measured differences in ratings for strength of evidence, relevance, and likelihood of referral to a peer. Having a high-income-country source had a significant overall impact on respondents' ratings of relevance and recommendation to a peer. Unconscious bias can have far-reaching implications for the diffusion of knowledge and innovations from low-income countries.

Integrity signals

Registry

Crossref · 10.1377/hlthaff.2017.0773

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Authors
Harris, M., Marti, J., Watt, H., Bhatti, Y., Macinko, J., & Darzi, A. W.
Affiliations
  • Imperial College London (GB)
  • University of California, Los Angeles (US)
Venue
Health Affairs
Published
2017-11
Volume
36
Issue
11
Pages
1997-2004
ISSN
  • 0278-2715 (ISSN-L)
  • 1544-5208
OpenAlex
W2767709396
Cited by
119
References
5
Citations by year
2026: 10 · 2025: 10 · 2024: 14 · 2023: 13 · 2022: 25 · 2021: 19 · 2020: 11 · 2019: 10 · 2018: 5 · 2017: 2
FWCI
6.89
Type
journal article
Language
en
Open access
closed
Locations
  • Health Affairs (publishedVersion)
  • PubMed (publishedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion)
Funders
National Institute for Health and Care Research (CL-2010-21-014)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
Keywords
implicit bias, low-income countries, high-income countries, evidence interpretation, research relevance, peer referral, knowledge diffusion, clinician perceptions, citation bias
MeSH terms
Developing Countries, United Kingdom, Humans, Surveys and Questionnaires, Research, Review Literature as Topic, Publication Bias, Developed Countries

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