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Published in: Journal of General Internal Medicine 7/2014

01-07-2014 | Original Research

An Investigation of Associations Between Clinicians’ Ethnic or Racial Bias and Hypertension Treatment, Medication Adherence and Blood Pressure Control

Authors: Irene V. Blair, PhD, John F. Steiner, MD, MPH, Rebecca Hanratty, MD, David W. Price, MD, Diane L. Fairclough, DrPH, Stacie L. Daugherty, MD, MSPH, Michael Bronsert, PhD, David J. Magid, MD, Edward P. Havranek, MD

Published in: Journal of General Internal Medicine | Issue 7/2014

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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.
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Literature
1.
2.
go back to reference Schulman KA, Berlin JA, Harless W, et al. The effect of race and sex on physicians’ recommendations for cardiac catheterization. N Engl J Med. 1999;340:618–26.PubMedCrossRef Schulman KA, Berlin JA, Harless W, et al. The effect of race and sex on physicians’ recommendations for cardiac catheterization. N Engl J Med. 1999;340:618–26.PubMedCrossRef
3.
go back to reference Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare. Institute of Medicine. Washington, DC: National Academies Press; 2003. Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare. Institute of Medicine. Washington, DC: National Academies Press; 2003.
5.
go back to reference van Ryn M, Fu SS. Paved with good intentions: do public health and human service clinicians contribute to racial/ethnic disparities in health? Am J Public Health. 2003;93(s):248–55.PubMedCentralPubMedCrossRef van Ryn M, Fu SS. Paved with good intentions: do public health and human service clinicians contribute to racial/ethnic disparities in health? Am J Public Health. 2003;93(s):248–55.PubMedCentralPubMedCrossRef
6.
go back to reference Blair IV, Banaji MR. Automatic and controlled processes in stereotype priming. J Pers Soc Psychol. 1996;70:1142–63.CrossRef Blair IV, Banaji MR. Automatic and controlled processes in stereotype priming. J Pers Soc Psychol. 1996;70:1142–63.CrossRef
7.
go back to reference Devine PG. Stereotypes and prejudice: their automatic and controlled components. J Pers Soc Psychol. 1989;56:5–18.CrossRef Devine PG. Stereotypes and prejudice: their automatic and controlled components. J Pers Soc Psychol. 1989;56:5–18.CrossRef
8.
go back to reference Dovidio JF, Kawakami K, Gaertner SL. Implicit and explicit prejudice and interracial interaction. J Pers Soc Psychol. 2002;82:62–8.PubMedCrossRef Dovidio JF, Kawakami K, Gaertner SL. Implicit and explicit prejudice and interracial interaction. J Pers Soc Psychol. 2002;82:62–8.PubMedCrossRef
9.
go back to reference Gawronski B, Bodenhausen GV. Associative and propositional processes in evaluation: an integrative review of implicit and explicit attitude change. Psychol Bull. 2006;132:692–731.PubMedCrossRef Gawronski B, Bodenhausen GV. Associative and propositional processes in evaluation: an integrative review of implicit and explicit attitude change. Psychol Bull. 2006;132:692–731.PubMedCrossRef
10.
go back to reference Nosek BA, Banaji MR, Greenwald AG. Harvesting implicit group attitudes and beliefs from a demonstration website. Group Dyn. 2002;6:101–15.CrossRef Nosek BA, Banaji MR, Greenwald AG. Harvesting implicit group attitudes and beliefs from a demonstration website. Group Dyn. 2002;6:101–15.CrossRef
11.
go back to reference Nosek BA, Smyth FL. A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Exp Psychol. 2007;54:14–29.PubMedCrossRef Nosek BA, Smyth FL. A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Exp Psychol. 2007;54:14–29.PubMedCrossRef
12.
go back to reference Blair IV, Havranek EP, Price DW, Hanratty R, Fairclough DL, Farley T, Hirsch HK, Steiner JF. An assessment of biases against Latinos and blacks among primary care clinicians and community members. Am J Public Health. 2013;103:92–8.PubMedCrossRef Blair IV, Havranek EP, Price DW, Hanratty R, Fairclough DL, Farley T, Hirsch HK, Steiner JF. An assessment of biases against Latinos and blacks among primary care clinicians and community members. Am J Public Health. 2013;103:92–8.PubMedCrossRef
13.
go back to reference Green AR, Carney DR, Pallin DJ, Ngo LH, Raymond KL, Iezzoni LI, Banaji MR. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. J Gen Intern Med. 2007;22:1231–8.PubMedCentralPubMedCrossRef Green AR, Carney DR, Pallin DJ, Ngo LH, Raymond KL, Iezzoni LI, Banaji MR. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. J Gen Intern Med. 2007;22:1231–8.PubMedCentralPubMedCrossRef
14.
go back to reference Sabin JA, Nosek BA, Greenwald AG, Rivara FP. Physicians’ implicit and explicit attitudes about race by MD race, ethnicity and gender. J Health Care Poor Underserved. 2009;20:896–913.PubMedCentralPubMedCrossRef Sabin JA, Nosek BA, Greenwald AG, Rivara FP. Physicians’ implicit and explicit attitudes about race by MD race, ethnicity and gender. J Health Care Poor Underserved. 2009;20:896–913.PubMedCentralPubMedCrossRef
15.
go back to reference Blair IV, Steiner JF, Fairclough DL, Hanratty R, Price DW, Hirsch HK, Wright LA, Bronsert M, Karimkhani E, Magid DJ, Havranek EP. Clinicians’ implicit ethnic/racial bias and perceptions of care among black and latino patients. Ann Fam Med. 2013;11:43–52.PubMedCentralPubMedCrossRef Blair IV, Steiner JF, Fairclough DL, Hanratty R, Price DW, Hirsch HK, Wright LA, Bronsert M, Karimkhani E, Magid DJ, Havranek EP. Clinicians’ implicit ethnic/racial bias and perceptions of care among black and latino patients. Ann Fam Med. 2013;11:43–52.PubMedCentralPubMedCrossRef
16.
go back to reference Cooper LA, Roter DL, Carson KA, Beach MC, Sabin JA, Greenwald AG, Inui TS. The associations of clinicians’ implicit attitudes about race with medical visit communication and patient ratings of interpersonal care. Am J Public Health. 2012;102:979–87.PubMedCentralPubMedCrossRef Cooper LA, Roter DL, Carson KA, Beach MC, Sabin JA, Greenwald AG, Inui TS. The associations of clinicians’ implicit attitudes about race with medical visit communication and patient ratings of interpersonal care. Am J Public Health. 2012;102:979–87.PubMedCentralPubMedCrossRef
17.
go back to reference Penner LA, Dovidio JF, West TV, Gaertner SL, Albrecht TL, Dailey RK, Markova T. Aversive racism and medical interactions with black patients: a field study. J Exp Soc Psychol. 2009;46:436–40.CrossRef Penner LA, Dovidio JF, West TV, Gaertner SL, Albrecht TL, Dailey RK, Markova T. Aversive racism and medical interactions with black patients: a field study. J Exp Soc Psychol. 2009;46:436–40.CrossRef
18.
go back to reference Sabin JA, Rivara FP, Greenwald AG. Physician implicit attitudes and stereotypes about race and quality of medical care. Med Care. 2008;46:678–85.PubMedCrossRef Sabin JA, Rivara FP, Greenwald AG. Physician implicit attitudes and stereotypes about race and quality of medical care. Med Care. 2008;46:678–85.PubMedCrossRef
19.
go back to reference Sabin JA, Greenwald AG. The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma. Am J Public Health. 2012;102:988–95.PubMedCentralPubMedCrossRef Sabin JA, Greenwald AG. The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma. Am J Public Health. 2012;102:988–95.PubMedCentralPubMedCrossRef
20.
go back to reference Haider AH, Sexton J, Sriram N, et al. Association of unconscious race and social class bias with vignette-based clinical assessments by medical students. JAMA. 2011;306:942–51.PubMedCentralPubMed Haider AH, Sexton J, Sriram N, et al. Association of unconscious race and social class bias with vignette-based clinical assessments by medical students. JAMA. 2011;306:942–51.PubMedCentralPubMed
21.
go back to reference National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Hyattsville, MD. 2012. National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Hyattsville, MD. 2012.
23.
go back to reference Gu Q, Burt VL, Dillon CF, Yoo S. Trends in antihypertensive medication use and blood pressure control among United States adults with hypertension. Circulation. 2012;126:2105–14.PubMedCrossRef Gu Q, Burt VL, Dillon CF, Yoo S. Trends in antihypertensive medication use and blood pressure control among United States adults with hypertension. Circulation. 2012;126:2105–14.PubMedCrossRef
24.
go back to reference Greenwald AG, McGhee DE, Schwarz JLK. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998;74:1464–80.PubMedCrossRef Greenwald AG, McGhee DE, Schwarz JLK. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998;74:1464–80.PubMedCrossRef
25.
go back to reference Blair IV, Judd CM, Havranek EP, Steiner JF. Using community data to test the discriminant validity of ethnic/racial group IATs. J Psychol. 2010;218:36–43. Blair IV, Judd CM, Havranek EP, Steiner JF. Using community data to test the discriminant validity of ethnic/racial group IATs. J Psychol. 2010;218:36–43.
26.
go back to reference Lane KA, Banaji MR, Nosek BA, Greenwald AG. Understanding and using the Implicit Association Test: IV: What we know (so far) about the method. In: Wittenbrink B, Schwarz N, eds. Implicit Measures of Attitudes. New York, NY: Guilford Press; 2007:59–102. Lane KA, Banaji MR, Nosek BA, Greenwald AG. Understanding and using the Implicit Association Test: IV: What we know (so far) about the method. In: Wittenbrink B, Schwarz N, eds. Implicit Measures of Attitudes. New York, NY: Guilford Press; 2007:59–102.
27.
go back to reference Nosek BA, Greenwald AG, Banaji MR. Understanding and using the implicit association test: II. Method variables and construct validity. Pers Soc Psychol B. 2005;31:166–80.CrossRef Nosek BA, Greenwald AG, Banaji MR. Understanding and using the implicit association test: II. Method variables and construct validity. Pers Soc Psychol B. 2005;31:166–80.CrossRef
28.
go back to reference Nosek BA, Greenwald AG, Banaji MR. The implicit association test at age 7: A methodological and conceptual review. In: Bargh JA, ed. Social Psychology and the Unconscious: The Automaticity of Higher Mental Processes. New York, NY: Psychology Press; 2007:265–92. Nosek BA, Greenwald AG, Banaji MR. The implicit association test at age 7: A methodological and conceptual review. In: Bargh JA, ed. Social Psychology and the Unconscious: The Automaticity of Higher Mental Processes. New York, NY: Psychology Press; 2007:265–92.
29.
go back to reference Greenwald AG, Poehlman TA, Uhlmann E, Banaji MR. Understanding and using the Implicit Association Test: III. Meta-Analysis of Predictive Validity. J Pers Soc Psychol. 2009;97:17–41.PubMedCrossRef Greenwald AG, Poehlman TA, Uhlmann E, Banaji MR. Understanding and using the Implicit Association Test: III. Meta-Analysis of Predictive Validity. J Pers Soc Psychol. 2009;97:17–41.PubMedCrossRef
30.
go back to reference De Houwer J, Teige-Mocigemba S, Spruyt A, Moors A. Implicit measures: a normative analysis and review. Psychol Bull. 2009;135:347–68.PubMedCrossRef De Houwer J, Teige-Mocigemba S, Spruyt A, Moors A. Implicit measures: a normative analysis and review. Psychol Bull. 2009;135:347–68.PubMedCrossRef
31.
go back to reference Hanratty R, Estacio RO, Dickinson LM, Chandramouli V, Steiner JF, Havranek EP. Testing electronic algorithms to create disease registries in a safety net system. J Health Care Poor Underserved. 2008;19:452–65.PubMedCentralPubMedCrossRef Hanratty R, Estacio RO, Dickinson LM, Chandramouli V, Steiner JF, Havranek EP. Testing electronic algorithms to create disease registries in a safety net system. J Health Care Poor Underserved. 2008;19:452–65.PubMedCentralPubMedCrossRef
32.
go back to reference Blair IV, Steiner JF, Havranek EP. Unconscious (implicit) bias and health disparities: where do we go from here? Perm J. 2011;15:71–8.PubMedCentralPubMed Blair IV, Steiner JF, Havranek EP. Unconscious (implicit) bias and health disparities: where do we go from here? Perm J. 2011;15:71–8.PubMedCentralPubMed
33.
go back to reference Dovidio JF, Penner LA, Albrecht TL, Norton WE, Gaertner SL, Shelton JN. Disparities and distrust: the implications of psychological processes for understanding racial disparities in health and health care. Soc Sci Med. 2008;67:478–86.PubMedCrossRef Dovidio JF, Penner LA, Albrecht TL, Norton WE, Gaertner SL, Shelton JN. Disparities and distrust: the implications of psychological processes for understanding racial disparities in health and health care. Soc Sci Med. 2008;67:478–86.PubMedCrossRef
34.
go back to reference Daugherty SL, Powers D, Magid DJ, Masoudi FA, Margolis KL, O’Connor PJ, Schmittdiel JA, Ho PM. The association between medication adherence and treatment intensification with blood pressure control in resistant hypertension. Hypertension. 2012;60:303–9.PubMedCentralPubMedCrossRef Daugherty SL, Powers D, Magid DJ, Masoudi FA, Margolis KL, O’Connor PJ, Schmittdiel JA, Ho PM. The association between medication adherence and treatment intensification with blood pressure control in resistant hypertension. Hypertension. 2012;60:303–9.PubMedCentralPubMedCrossRef
35.
go back to reference Maddox TM, Ross C, Tavel HM, Lyons EE, Tillquist M, Ho PM, Rumsfeld JS, Margolis KL, O’Connor PJ, Selby JV, Magid DJ. Blood pressure trajectories and associations with treatment intensification, medication adherence, and outcomes among newly diagnosed coronary artery disease patients. Circ Cardiovasc Qual Outcomes. 2010;3:347–57.PubMedCentralPubMedCrossRef Maddox TM, Ross C, Tavel HM, Lyons EE, Tillquist M, Ho PM, Rumsfeld JS, Margolis KL, O’Connor PJ, Selby JV, Magid DJ. Blood pressure trajectories and associations with treatment intensification, medication adherence, and outcomes among newly diagnosed coronary artery disease patients. Circ Cardiovasc Qual Outcomes. 2010;3:347–57.PubMedCentralPubMedCrossRef
36.
go back to reference National Heart Lung and Blood Institute. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. U.S. Department of Health and Human Services; 2004; NIH Publication No. 04–5230. National Heart Lung and Blood Institute. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. U.S. Department of Health and Human Services; 2004; NIH Publication No. 04–5230.
37.
go back to reference Okonofua EC, Simpson KN, Jesri A, Rehman SU, Durkalski VL, Egan BM. Therapeutic inertia is an impediment to achieving the Healthy People 2010 blood pressure control goals. Hypertension. 2006;47:345–51.PubMedCrossRef Okonofua EC, Simpson KN, Jesri A, Rehman SU, Durkalski VL, Egan BM. Therapeutic inertia is an impediment to achieving the Healthy People 2010 blood pressure control goals. Hypertension. 2006;47:345–51.PubMedCrossRef
38.
go back to reference Rose AJ, Berlowitz DR, Manze M, Orner MB, Kressin NR. Comparing methods of measuring treatment intensification in hypertension care. Circ Cardiovasc Qual Outcomes. 2009;2:385–91.PubMedCentralPubMedCrossRef Rose AJ, Berlowitz DR, Manze M, Orner MB, Kressin NR. Comparing methods of measuring treatment intensification in hypertension care. Circ Cardiovasc Qual Outcomes. 2009;2:385–91.PubMedCentralPubMedCrossRef
39.
go back to reference Steiner JF, Koepsell TD, Fihn SD, Inui TS. A general method of compliance assessment using centralized pharmacy records. Description and validation. Med Care. 1988;26:814–23.PubMedCrossRef Steiner JF, Koepsell TD, Fihn SD, Inui TS. A general method of compliance assessment using centralized pharmacy records. Description and validation. Med Care. 1988;26:814–23.PubMedCrossRef
40.
go back to reference Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997;50:105–16.PubMedCrossRef Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997;50:105–16.PubMedCrossRef
41.
go back to reference Alexander M, Tekawa I, Hunkeler E, Fireman B, Rowell R, Selby JV, Massie BM, Cooper W. Evaluating hypertension control in a managed care setting. Arch Intern Med. 1999;159:2673–77.PubMedCrossRef Alexander M, Tekawa I, Hunkeler E, Fireman B, Rowell R, Selby JV, Massie BM, Cooper W. Evaluating hypertension control in a managed care setting. Arch Intern Med. 1999;159:2673–77.PubMedCrossRef
42.
go back to reference Selby JV, Lee J, Swain BE, Tavel HM, Ho PM, Margolis KL, O’Connor PJ, Fine L, Schmittdiel JA, Magid DJ. Trends in time to confirmation and recognition of new-onset hypertension, 2002–2006. Hypertension. 2010;56:605–11.PubMedCentralPubMedCrossRef Selby JV, Lee J, Swain BE, Tavel HM, Ho PM, Margolis KL, O’Connor PJ, Fine L, Schmittdiel JA, Magid DJ. Trends in time to confirmation and recognition of new-onset hypertension, 2002–2006. Hypertension. 2010;56:605–11.PubMedCentralPubMedCrossRef
43.
go back to reference Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ, the National High Blood Pressure Education Program Coordinating C. Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003;42:1206–52.PubMedCrossRef Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ, the National High Blood Pressure Education Program Coordinating C. Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003;42:1206–52.PubMedCrossRef
44.
go back to reference Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.PubMedCrossRef Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.PubMedCrossRef
45.
go back to reference Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F, Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145:247–54.PubMedCrossRef Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F, Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145:247–54.PubMedCrossRef
46.
go back to reference Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, Tarlov AR. Linking primary care performance to outcomes of care. J Fam Pract. 1998;47(3):213–20.PubMed Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, Tarlov AR. Linking primary care performance to outcomes of care. J Fam Pract. 1998;47(3):213–20.PubMed
47.
go back to reference Schneider J, Kaplan SH, Greenfield S, Li W, Wilson IB. Better physician–patient relationships are associated with higher reported adherence to antiretroviral therapy in patients with HIV infection. J Gen Intern Med. 2004;19(11):1096–103.PubMedCentralPubMedCrossRef Schneider J, Kaplan SH, Greenfield S, Li W, Wilson IB. Better physician–patient relationships are associated with higher reported adherence to antiretroviral therapy in patients with HIV infection. J Gen Intern Med. 2004;19(11):1096–103.PubMedCentralPubMedCrossRef
48.
go back to reference Wilson IB, Rogers WH, Chang H, Safran DG. Cost-related skipping of medications and other treatments among Medicare benefi ciaries between 1998 and 2000. Results of a national study. J Gen Intern Med. 2005;20(8):715–20.PubMedCentralPubMedCrossRef Wilson IB, Rogers WH, Chang H, Safran DG. Cost-related skipping of medications and other treatments among Medicare benefi ciaries between 1998 and 2000. Results of a national study. J Gen Intern Med. 2005;20(8):715–20.PubMedCentralPubMedCrossRef
49.
go back to reference Burgess DJ. Are providers more likely to contribute to healthcare disparities under high levels of cognitive load? How features of the healthcare setting may lead to biases in medical decision making. Med Dec Making. 2010;30:246–57.CrossRef Burgess DJ. Are providers more likely to contribute to healthcare disparities under high levels of cognitive load? How features of the healthcare setting may lead to biases in medical decision making. Med Dec Making. 2010;30:246–57.CrossRef
Metadata
Title
An Investigation of Associations Between Clinicians’ Ethnic or Racial Bias and Hypertension Treatment, Medication Adherence and Blood Pressure Control
Authors
Irene V. Blair, PhD
John F. Steiner, MD, MPH
Rebecca Hanratty, MD
David W. Price, MD
Diane L. Fairclough, DrPH
Stacie L. Daugherty, MD, MSPH
Michael Bronsert, PhD
David J. Magid, MD
Edward P. Havranek, MD
Publication date
01-07-2014
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 7/2014
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-014-2795-z

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