Count me in: using a patient portal to minimize implicit bias in clinical research recruitment

Vaishnavi Kannan, Kathleen E. Wilkinson, Mereeja Varghese, Sarah Lynch-Medick, Duwayne L Willett, Teresa A. Bosler, Ling Chu, Samantha I. Gates, M E Blair Holbein, Mallory M. Willett, Sharon C Reimold, Robert D Toto

Research output: Contribution to journalArticle

Abstract

OBJECTIVE: Determine whether women and men differ in volunteering to join a Research Recruitment Registry when invited to participate via an electronic patient portal without human bias. MATERIALS AND METHODS: Under-representation of women and other demographic groups in clinical research studies could be due either to invitation bias (explicit or implicit) during screening and recruitment or by lower rates of deciding to participate when offered. By making an invitation to participate in a Research Recruitment Registry available to all patients accessing our patient portal, regardless of demographics, we sought to remove implicit bias in offering participation and thus independently assess agreement rates. RESULTS: Women were represented in the Research Recruitment Registry slightly more than their proportion of all portal users (n = 194 775). Controlling for age, race, ethnicity, portal use, chronic disease burden, and other questionnaire use, women were statistically more likely to agree to join the Registry than men (odds ratio 1.17, 95% CI, 1.12-1.21). In contrast, Black males, Hispanics (of both sexes), and particularly Asians (both sexes) had low participation-to-population ratios; this under-representation persisted in the multivariable regression model. DISCUSSION: This supports the view that historical under-representation of women in clinical studies is likely due, at least in part, to implicit bias in offering participation. Distinguishing the mechanism for under-representation could help in designing strategies to improve study representation, leading to more effective evidence-based recommendations. CONCLUSION: Patient portals offer an attractive option for minimizing bias and encouraging broader, more representative participation in clinical research.

Original languageEnglish (US)
Pages (from-to)703-713
Number of pages11
JournalJournal of the American Medical Informatics Association : JAMIA
Volume26
Issue number8-9
DOIs
StatePublished - Aug 1 2019

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Registries
Research
Demography
Hispanic Americans
Chronic Disease
Odds Ratio
Patient Portals
Population
Clinical Studies

Keywords

  • biomedical research
  • health care disparities
  • patient portals
  • patient selection
  • sex bias

ASJC Scopus subject areas

  • Health Informatics

Cite this

Count me in : using a patient portal to minimize implicit bias in clinical research recruitment. / Kannan, Vaishnavi; Wilkinson, Kathleen E.; Varghese, Mereeja; Lynch-Medick, Sarah; Willett, Duwayne L; Bosler, Teresa A.; Chu, Ling; Gates, Samantha I.; Holbein, M E Blair; Willett, Mallory M.; Reimold, Sharon C; Toto, Robert D.

In: Journal of the American Medical Informatics Association : JAMIA, Vol. 26, No. 8-9, 01.08.2019, p. 703-713.

Research output: Contribution to journalArticle

Kannan, Vaishnavi ; Wilkinson, Kathleen E. ; Varghese, Mereeja ; Lynch-Medick, Sarah ; Willett, Duwayne L ; Bosler, Teresa A. ; Chu, Ling ; Gates, Samantha I. ; Holbein, M E Blair ; Willett, Mallory M. ; Reimold, Sharon C ; Toto, Robert D. / Count me in : using a patient portal to minimize implicit bias in clinical research recruitment. In: Journal of the American Medical Informatics Association : JAMIA. 2019 ; Vol. 26, No. 8-9. pp. 703-713.
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AU - Willett, Duwayne L

AU - Bosler, Teresa A.

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AU - Gates, Samantha I.

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