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Multicenter Study
. 2014 Jul;29(7):987-95.
doi: 10.1007/s11606-014-2795-z. Epub 2014 Feb 19.

An investigation of associations between clinicians' ethnic or racial bias and hypertension treatment, medication adherence and blood pressure control

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Free PMC article
Multicenter Study

An investigation of associations between clinicians' ethnic or racial bias and hypertension treatment, medication adherence and blood pressure control

Irene V Blair et al. J Gen Intern Med. .
Free PMC article

Abstract

Background: Few studies have directly investigated the association of clinicians' implicit (unconscious) bias with health care disparities in clinical settings.

Objective: To determine if clinicians' implicit ethnic or racial bias is associated with processes and outcomes of treatment for hypertension among black and Latino patients, relative to white patients.

Research design and participants: Primary care clinicians completed Implicit Association Tests of ethnic and racial bias. Electronic medical records were queried for a stratified, random sample of the clinicians' black, Latino and white patients to assess treatment intensification, adherence and control of hypertension. Multilevel random coefficient models assessed the associations between clinicians' implicit biases and ethnic or racial differences in hypertension care and outcomes.

Main measures: Standard measures of treatment intensification and medication adherence were calculated from pharmacy refills. Hypertension control was assessed by the percentage of time that patients met blood pressure goals recorded during primary care visits.

Key results: One hundred and thirty-eight primary care clinicians and 4,794 patients with hypertension participated. Black patients received equivalent treatment intensification, but had lower medication adherence and worse hypertension control than white patients; Latino patients received equivalent treatment intensification and had similar hypertension control, but lower medication adherence than white patients. Differences in treatment intensification, medication adherence and hypertension control were unrelated to clinician implicit bias for black patients (P = 0.85, P = 0.06 and P = 0.31, respectively) and for Latino patients (P = 0.55, P = 0.40 and P = 0.79, respectively). An increase in clinician bias from average to strong was associated with a relative change of less than 5 % in all outcomes for black and Latino patients.

Conclusions: Implicit bias did not affect clinicians' provision of care to their minority patients, nor did it affect the patients' outcomes. The identification of health care contexts in which bias does not impact outcomes can assist both patients and clinicians in their efforts to build trust and partnership.

Figures

Figure 1
Conceptual model of the influence that clinician implicit bias may have on treatment, adherence and control of hypertension. Variables that are assessed in this study appear in bold print. Path A indicates the potential for clinician bias to affect decisions about treatment intensification. Path B indicates the potential for clinician bias to affect patients’ trust and commitment to medication adherence. Many additional factors that affect treatment, adherence and hypertension control, including recursive processes, are not shown in this figure.
Figure 2
Flow of hypertension patients included in the study. Notes: *2 excluded for no BP recorded after first visit with clinician; **1,611 excluded: 505 had no anti-hypertension prescription fills at all, 228 had no fills following first visit with clinician, 597 had less than two BP, and 281 had no fills during the follow-up period; ***966 excluded: 505 had no anti-hypertension prescription fills at all, 228 had no fills following first visit with clinician, and 233 had only one fill.

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