Abstract
Background
Communication of lung cancer risk information between providers and African-American patients occurs in a context marked by race-based health disparities.
Purpose
A controlled experiment assessed whether perceived physician race influenced African-American patients’ (n = 127) risk perception accuracy following the provision of objective lung cancer risk information.
Methods
Participants interacted with a virtual reality-based, simulated physician who provided personalized cancer risk information.
Results
Participants who interacted with a racially discordant virtual doctor were less accurate in their risk perceptions at post-test than those who interacted with a concordant virtual doctor, F(1,94) = 4.02, p = .048. This effect was amplified among current smokers. Effects were not mediated by trust in the provider, engagement with the health care system, or attention during the encounter.
Conclusions
The current study demonstrates that African-American patients’ perceptions of a doctor’s race are sufficient to independently impact their processing of lung cancer risk information.
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References
Alberg AJ, Samet JM. Epidemiology of lung cancer. Chest. 2003;123:21S-49S.
Haiman CA, Stram DO, Wilkens LR, et al. Ethnic and racial differences in the smoking-related risk of lung cancer. N Engl J Med. 2006;354:333-342.
Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: The National Academies Press; 2003.
Williams DR, Jackson PB. Social sources of racial disparities in health. Health Aff. 2005;24(2):325-334.
Giovino G, Sidney S, Gfroerer J, et al. Epidemiology of menthol cigarette use. Nicotine Tob Res. 2004;6:S67-S81.
Abidoye O, Ferguson MK, Salgia R. Lung carcinoma in African Americans. Nat Clin Pract Oncol. 2007;4:118-129.
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;67:478-486.
Ashton CM, Haidet P, Paterniti DA, et al. Racial and ethnic disparities in the use of health services: Bias, preferences, or poor communication? JGIM. 2003;18:146-152.
Griffin R, Dunwoody S, Neuwirth K. Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environ Res Section A. 1999;80:S230-S245.
Gordon HS, Street RL Jr, Sharf BF, Souchek J. Racial differences in trust and lung cancer patients’ perceptions of physician communication. J Clin Oncol. 2006;24(6):904-909.
Oliver MN, Goodwin MA, Gotler RS, Gregory PM, Strange KC. Time use in clinical encounters: Are African-American patients treated differently? JAMA. 2001;93:380-385.
Johnson R, Roter D, Powe N, Cooper L. Patient race/ethnicity and quality of patient-physician communication during medical visits. Am J Public Health. 2004;94:2084-2090.
McGarty C, Haslam SA, Hutchinson KJ, Turner JC. The effects of saliety group memberships on persuasion. Small Gr Res. 1994;25(2):267-293.
Jacobs EA, Rolle I, Ferrans CE, Whitaker EE, Warnecke RB. Understanding African Americans’ views of the trustworthiness of physicians. JGIM. 2006;21:642-647.
Benkert R, Hollie B, Nordstrom CK, Wickson B, Bins-Emerick L. Trust, mistrust, racial identity, and patient satisfaction in urban African American primary care patients of nurse practitioners. J Nurs Scholarsh. 2009;41(2):211-219.
Burgess D, Warren J, Phelan S, Dovidio J, van Ryn M. Stereotype threat and health disparities: What medical educators and future physicians need to know. JGIM. 2010;25(S2):S169-S177.
Musa D, Schulz R, Harris R, Silverman M, Thomas SB. Trust in the health care system and the use of preventive health services by older black and white adults. Am J Public Health. 2009;99(7):1293-1299.
Saha S, Jacobs EA, Moore RD, Beach MC. Trust in physicians and racial disparities in HIV care. AIDS Patient Care STDS. 2010;24(7):415-420.
Saha S, Komaromy M, Koepsell TD, Bindman AB. Patient-physician racial concordance and the perceived quality and use of health care. Arch Intern Med. 1999;159(9):997-1004.
Park ER, Ostroff JS, Rakowski W, et al. Risk perceptions among participants undergoing lung cancer screening: Baseline results from the National Lung Screening Trial. Ann Behav Med. 2009;37(3):268-279.
Croyle RT, Sun Y, Hart M. Processing risk factor information: Defensive biases in health-related judgments and memory. In: Petrie K, JaW JA, eds. Perceptions of Health and Illness: Current Research and Applications. Amsterdam: Harwood Academic; 1997:267-290.
Liberman A, Chaiken S. Defensive processing of personally relevant health messages. Pers Soc Psychol Bull. 1992;18(6):669-679.
Your disease risk: The source on prevention. Available at http://www.yourdiseaserisk.wustl.edu/english/. Accessed November 5, 2012.
Colditz GA, Atwood KA, Emmons K, et al. Harvard Report on Cancer Prevention Volume 4: Harvard Cancer Risk Index. Cancer Causes Control. 2000;11:477-488.
National Cancer Institute. SEER Cancer Statistics Review 1975–2005. Bethesda: National Cancer Institute; 2008.
Loomis JM, Blascovich JJ, Beall AC. Immersive virtual environments as a basic research tool in psychology. Behav Res Meth Ins C. 1999;31:557-564.
Blascovich J, Loomis J, Beall A, Swinth K, Hoyt C, Bailenson J. Immersive virtual environment technology as a research tool for social psychology. Psychol Inq. 2002;13:103-125.
Persky S, McBride CM. Immersive virtual environment technology: A promising tool for future social and behavioral genomics research and practice. J Health Commun. 2009;24(8):677-682.
McCall C, Blascovich J. How, when, and why to use digital experimental virtual environments to study social behavior. Soc Personal Psychol Compass. 2009;3:1-15.
Schmid Mast M, Hall JA, Roter DL. Caring and dominance affect participants’ perceptions and behaviors during a virtual medical visit. JGIM. 2008;23(5):53-527.
Schmid Mast M, Hall JA, Roter DL. Disentangling physician sex and physician communication style: Their effects on patient satisfaction in a virtual medical visit. Patient Educ Couns. 2007;68:16-22.
Persky S, Eccleston CP. Medical student bias and care recommendations for an obese versus non-obese virtual patient. Int J Obes. 2011;35:728-735.
Persky S, Eccleston CP. Impact of genetic causal information on medical students’ encounters with an obese virtual patient: Health promotion and social stigma. Ann Behav Med. 2011;41:363-372.
Rossen B, Johnsen K, Deladisma AM, Lind S, Lok B. Virtual humans elicit skin-tone bias consistent with real-world skin-tone biases. Lect Notes Comput Sci. 2008;5208:237-244.
Lipkus IM, Samsa G, Rimer BK. General performance on a numeracy scale among highly educated samples. Med Decis Making. 2001;21:37-44.
West DS, Wilkin NE, Bentley JP, Gilbert F, Garner DD. Understanding how patients form beliefs about Pharmacists’ trustworthiness using a model of belief processing. J Am Pharm Assoc. 2002;42:594-601.
Major B, Schmader T. Coping with stigma through psychological disengagement. In: Swim J, Stangor C, eds. Prejudice: The Target’s Perspective. Hillsdale: Academic Press; 1998:219-241.
Maurel M, Stoufflet A, Thorel L, et al. Factors associated with cancer distress in the Asbestos Post-Exposure Survey (APEXS). Am J Ind Med. 2009;52(4):288-296.
Kelly KM, Graves KD, Harper FWK, Schmidt JE, Dickenson SL, Andrykowski MA. Assessing perceptions of cancer risk: Does mode of assessment or numeracy matter? Cancer Detect Prev. 2007;31(6):465-473.
Kulik JA, Mahler HI. Health status, perceptions of risk, and prevention interest for health and nonhealth problems. Health Psychol. 1987;6(1):15-27.
Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173-1182.
Verlinde E, De Laender N, De Maesschalck S, Deveugele M, Willems S. The social gradient in doctor-patient communication. Int J Equity Health. 2012; 11(1): article number 12.
Dillard AJ, McCaul KD, Kelso PD, Klein WM. Resisting good news: Reactions to breast cancer risk communication. J Health Commun. 2006;19(2):115-123.
Lerman C, Lustbader E, Rimer B, et al. Effects of individualized breast cancer risk counseling: A randomized trial. J Natl Cancer Inst. 1995;87(4):286-292.
Senay I, Kaphingst KA. Anchoring-and-adjustment bias in communication of disease risk. Med Decis Making. 2009;29(2):193-201.
Hahn EJ, Rayens MK, Hopenhayn C, Christian WJ. Perceived risk and interest in screening for lung cancer among current and former smokers. Res Nurs Health. 2006;29:359-370.
Weinstein ND, Marcus SE, Moser RP. Smokers’ unrealistic optimism about their risk. Tob Control. 2005;14(1):55-59.
Ayanian JZ, Cleary PD. Perceived risks of heart disease and cancer among cigarette smokers. JAMA. 1999;281(11):1019-1021.
Strecher VJ, Kreuter MW, Kobrin SC. Do cigarette smokers have unrealistic perceptions of their heart attack, cancer, and stroke risks? J Behav Med. 1995;18(11):45-54.
Viscusi WK. Do smokers underestimate risks? J Political Econ. 1990;98(6):1253-1269.
Windschitl PD. Judging the accuracy of a likelihood judgment: The case of smoking risk. J Behav Decis Making. 2002;15:19-35.
Niederdeppe J, Levy AG. Fatalistic beliefs about cancer prevention and three prevention behaviors. Cancer Epidemiol Biomark Prev. 2007;16(5):998-1003.
Street RL Jr, O'Malley KJ, Cooper LA, Haidet P. Understanding concordance in patient-physician relationships: Personal and ethnic dimensions of shared identity. Ann Fam Med. 2008;6(3):198-205.
Saha S, Sanders DS, Korthuis PT, et al. The role of cultural distance between patient and provider in explaining racial/ethnic disparities in HIV care. Patient Educ Couns. 2011;85(3):e278-e284.
Bowen D, Powers D, Greenlee H. Effects of breast cancer risk counseling for sexual minority. Health Care Women Int. 2006;27:59-74.
Richeson JA, Shelton JN. Negotiating interracial interactions: Costs, consequences, and possibilities. Curr Dir Psychol Sci. 2007;16(6):316-320.
Mackie D, Worth L, Asuncion A. Processing of persuasive in-group messages. J Pers Soc Psychol. 1990;58(5):812-822.
Reyna VF. Theories of medical decision making and health: An evidence-based approach. Med Decis Making. 2008;28(6):829-833.
Windschitl PD, Wells GL. Measuring psychological uncertainty: Verbal versus numeric methods. J Exp Psychol Appl. 1996;2(4):343-364.
Hay J, Shuk E, Cruz G, Ostroff J. Thinking through cancer risk: Characterizing smokers’ process of risk determination. Qual Health Res. 2005;15(8):1074-1085.
Bird ST, Bogart LM. Perceived race-based and socioeconomic status (SES)-based discrimination in interactions with health care providers. Ethn Dis. 2001;11(3):554-563.
Stone J, Moskowitz GB. Non-conscious bias in medical decision making: What can be done to reduce it? Med Educ. 2011;45:768-776.
Dasgupta N, Greenwald AG. On the malleability of automatic attitudes: Combating automatic prejudice with images of admired and disliked individuals. J Pers Soc Psychol. 2001;81(5):800-814.
Acknowledgments
This research was supported by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. The authors thank Collette Eccleston, Paul Han, and Colleen McBride for their insightful comments on an earlier version of this paper, and Isaac Lipkus and Ellen Peters for their valuable advice. The authors also thank Christina Lachance, Jalia Tucker, Wafa Khradouri, and Sabrina Mathenia for assistance with project preparation and data collection.
Conflict of Interest
The authors have no conflicts of interest to disclose.
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Persky, S., Kaphingst, K.A., Allen, V.C. et al. Effects of Patient-Provider Race Concordance and Smoking Status on Lung Cancer Risk Perception Accuracy Among African-Americans. ann. behav. med. 45, 308–317 (2013). https://doi.org/10.1007/s12160-013-9475-9
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DOI: https://doi.org/10.1007/s12160-013-9475-9