The social and behavioral influences (SBI) study: study design and rationale for studying the effects of race and activation on cancer pain management

Cezanne M Elias, Cleveland G Shields, Jennifer J Griggs, Kevin Fiscella, Sharon L Christ, Joseph Colbert, Stephen G Henry, Beth G Hoh, Haslyn E R Hunte, Mary Marshall, Supriya Gupta Mohile, Sandy Plumb, Mohamedtaki A Tejani, Alison Venuti, Ronald M Epstein, Cezanne M Elias, Cleveland G Shields, Jennifer J Griggs, Kevin Fiscella, Sharon L Christ, Joseph Colbert, Stephen G Henry, Beth G Hoh, Haslyn E R Hunte, Mary Marshall, Supriya Gupta Mohile, Sandy Plumb, Mohamedtaki A Tejani, Alison Venuti, Ronald M Epstein

Abstract

Background: Racial disparities exist in the care provided to advanced cancer patients. This article describes an investigation designed to advance the science of healthcare disparities by isolating the effects of patient race and patient activation on physician behavior using novel standardized patient (SP) methodology.

Methods/design: The Social and Behavioral Influences (SBI) Study is a National Cancer Institute sponsored trial conducted in Western New York State, Northern/Central Indiana, and lower Michigan. The trial uses an incomplete randomized block design, randomizing physicians to see patients who are either black or white and who are "typical" or "activated" (e.g., ask questions, express opinions, ask for clarification, etc.). The study will enroll 91 physicians.

Discussion: The SBI study addresses important gaps in our knowledge about racial disparities and methods to reduce them in patients with advanced cancer by using standardized patient methodology. This study is innovative in aims, design, and methodology and will point the way to interventions that can reduce racial disparities and discrimination and draw links between implicit attitudes and physician behaviors.

Trial registration: https://ichgcp.net/clinical-trials-registry/NCT01501006" title="See in ClinicalTrials.gov">#NCT01501006, November 30, 2011.

Keywords: Cancer; End of life care; Field experiment; Implicit bias; Pain management; Palliative care; Patient-centered communication; Racial disparities; Randomized clinical trial; Standardized patients.

Conflict of interest statement

Ethics approval and consent to participate

This study has been approved by the Purdue University IRB (1009009643), the University of Rochester Research Subjects Review Board (RSRB00033086), the University of Michigan Human Research Protection Program (HUM00067842), and McClaren Health Care Corporation, Human Research Protections Program (2014–00098). All participants provided written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Conceptual model

References

    1. Fisch MJ, Lee J-W, Weiss M, Wagner LI, Chang VT, Cella D, et al. Prospective, Observational Study of Pain and Analgesic Prescribing in Medical Oncology Outpatients With Breast, Colorectal, Lung, or Prostate Cancer. J. Clin. Oncol. [Internet]. 2012 [cited 2015 Jun 27];JCO.2011.39.2381. doi:10.1200/JCO.2011.39.2381.
    1. Drwecki BB, Moore CF, Ward SE, Prkachin KM. Reducing racial disparities in pain treatment: the role of empathy and perspective-taking. Pain. 2011;
    1. Green CR. Being present: the role of narrative medicine in reducing the unequal burden of pain. Pain [Internet]. 2011 [cited 2016 Aug 30];152:965–966. Available from:
    1. Penner LA, Dovidio JF, Gonzalez R, Albrecht TL, Chapman R, Foster T, et al. The Effects of Oncologist Implicit Racial Bias in Racially Discordant Oncology Interactions. J. Clin. Oncol. [Internet]. 2016 [cited 2016 Jul 5];JCO663658. Available from:
    1. Breuer B, Fleishman SB, Cruciani RA, Portenoy RK. Medical oncologists’ attitudes and practice in cancer pain management: a National Survey. J Clin Oncol. [Internet]. 2011 [cited 2015 Jun 28];29:4769–4775. Available from:
    1. Gordon HS, Street Jr RL, Sharf BF, Kelly PA, Souchek J. Racial differences in trust and lung cancer patients’ perceptions of physician communication. J Clin Oncol [Internet]. 2006;24:904. Available from: PDF Articles\Physician Patient Communication\Gordon street 2006 Racial differences in trust and lung cancer patients perceptions of physician communication.pdf.
    1. Kwon JH. Overcoming barriers in cancer pain management. J Clin Oncol [Internet]. 2014 [cited 2015 Jun 28];32:1727–1733. Available from:
    1. Tait RC, Chibnall JT. Racial/ethnic disparities in the assessment and treatment of pain: psychosocial perspectives. Am Psychol. 2014;69:131–141. doi: 10.1037/a0035204.
    1. Hausmann LR, Gao S, Lee ES, Kwoh CK. Racial disparities in the monitoring of patients on chronic opioid therapy. Pain [Internet]. 2013 [cited 2013 Mar 7];154:46–52. Available from:
    1. Becker WC, Sullivan LE, Tetrault JM, Desai RA, Fiellin DA. Non-medical use, abuse and dependence on prescription opioids among U.S. adults: psychiatric, medical and substance use correlates. Drug Alcohol Depend. [Internet]. 2008 [cited 2015 Jul 22];94:38–47. Available from:
    1. Hibbard JH, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood) [Internet]. 2013 [cited 2015 Jun 27];32:207–214. Available from:
    1. Kalauokalani D, Franks P, Oliver JW, Meyers FJ, Kravitz RL. Can patient coaching reduce racial/ethnic disparities in cancer pain control? Secondary analysis of a randomized controlled trial. Pain Med [Internet]. 2007;8:17–24. Available from: PDF Articles\Physician Patient Communication\Kalauokalani kravitz 2007 Can patient coaching reduce racial-ethnic disparities in cancer pain control.pdf.
    1. Street Jr RL. Communication in medical encounters: An ecological perspective. In: Thompson TL, Dorsey A, Parrott R, Miller K, editors. Routledge Handbook of Health Communication, 2nd Ed. Routledge: NY, NY, 2003. doi:10.4324/9780203846063.
    1. Burgess DJ, Van Ryn M, Crowley-Matoka M, Malat J. Understanding the provider contribution to race/ethnicity disparities in pain treatment: insights from dual process models of stereotyping. Pain Med. 2006;7:119–134. doi: 10.1111/j.1526-4637.2006.00105.x.
    1. Barrows HS. An overview of the uses of standardized patients for teaching and evaluating clinical skills. Acad Med [Internet]. 1993 [cited 2017 Feb 1];68:443–451. Available from:
    1. Steffensmeier D, Ulmer J, Kramer J. Interaction of race, gender, and age in criminal sentencing: the punishment cost of being young, black, and male, The Criminology [Internet]. 1998;36:763. Available from: PDF Articles\Physician Patient Communication\Steffensmeier et al 1998 race gender criminal sentence.pdf.
    1. Kowalski BR, Lundman RJ. Vehicle stops by police for driving while black: common problems and some tentative solutions. J Crim Justice [Internet]. 2007;35:165–181. Available from: PDF Articles\Physician Patient Communication\Kowalski 2007 vehicle stop by police for driving while black.pdf.
    1. Greenwald AG, McGhee DE, Schwartz JLK. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol [Internet]. 1998;74:1464–1480. Available from: PDF Articles\Physician Patient Communication\Greenwald 1998 the IAT.pdf.
    1. Gordon HS, Street RL, Sharf BF, Souchek J. Racial differences in doctors’ information-giving and patients’ participation. Cancer [Internet]. 2006;107:1313–1320. Available from: PDF Articles\Physician Patient Communication\Gordon street 2006 Racial differences in doctors information-giving and patients participation.pdf.
    1. Hibbard JH, Mahoney ER, Stock R, Tusler M. Do increases in patient activation result in improved self-management behaviors? Health Serv Res [Internet]. 2007;42:1443. Available from: PDF Articles\Physician Patient Communication\Hibbard 2007 do increases in patient activation result in improved self-management behavior.pdf.
    1. Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the patient activation measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res [Internet]. 2004;39:1005. Available from: PDF Articles\Physician Patient Communication\Hibbard 2004 development of the patient activation measure PAM.pdf.
    1. Kaplan SH, Greenfield S, Gandek B, Rogers WH, Ware Jr JE. Characteristics of physicians with participatory decision-making styles. Ann Intern Med [Internet]. 1996;124:497. Available from: PDF Articles\Physician Patient Communication\Kaplan 1996 Characteristics of physicians with participatory decision-making styles.pdf.
    1. Shields CG, Coker CJ, Poulsen SS, Doyle JM, Fiscella K, Epstein RM, et al. Patient-centered communication and prognosis discussions with cancer patients. Patient Educ Couns. [Internet]. 2009 [cited 2015 Jan 18];77:437–442. Available from:
    1. Epstein R, Franks P, Fiscella K, Shields C, Meldrum S, Kravitz R, et al. Measuring patient-centered communication in patient-physician consultations: theoretical and practical issues. Soc Sci Med. 2005;61:1516–1528. doi: 10.1016/j.socscimed.2005.02.001.
    1. Fishman B, Pasternak S, Wallenstein S, Houde R, Holland JC, Foley KM. The memorial pain assessment card: a valid instrument for the assessment of cancer pain. Cancer. 1987;60:1151–1157. doi: 10.1002/1097-0142(19870901)60:5<1151::AID-CNCR2820600538>;2-G.
    1. Melzack R. The McGill pain questionnaire: major properties and scoring methods. Pain. 1975;1:277–299. doi: 10.1016/0304-3959(75)90044-5.
    1. Melzack R. The short-form McGill pain questionnaire. Pain. 1987;30:191–197. doi: 10.1016/0304-3959(87)91074-8.
    1. Melzack R. The McGill pain questionnaire: from description to measurement. Anesthesiology [Internet] 2005;103:199–202. doi: 10.1097/00000542-200507000-00028.
    1. Aldrich CK. The medical interview: gateway to the doctor-patient relationship. Second. NY, NY: Taylor & Francis; 1999.
    1. Cohen-Cole SA. Mosby year b. St Louis. 1991. The medical interview: the three-function approach.
    1. Hudon C, Fortin M, Haggerty JL, Lambert M, Poitras ME. Measuring patients’ perceptions of patient-centered care: a systematic review of tools for family medicine. Ann Fam Med. 2011;9:155. doi: 10.1370/afm.1226.
    1. Lipkin M, Putnam SM, Lazare A. The medical interview: clinical care, education, and research. NY, NY: Springer-Verlag; 1995.
    1. McCormack LA, Treiman K, Rupert D, Williams-Piehota P, Nadler E, Arora N, et al. Measuring patient-centered communication in cancer care: A literature review and the development of a systematic approach. Soc. Sci. Med. 2011;72:1085-1095.
    1. Epstein RM, Duberstein PR, Fenton JJ, et al. Effect of a patient-centered communication intervention on oncologist-patient communication, quality of life, and health care utilization in advanced cancer: The voice randomized clinical trial. JAMA Oncol. [Internet]. 2016 [cited 2016 Sep 12]; Available from: 10.1001/jamaoncol.2016.4373
    1. Leiter MP, Maslach C. Latent burnout profiles: a new approach to understanding the burnout experience. Burn Res [Internet]. 2016 [cited 2017 Mar 4];3:89–100. Available from:
    1. Rafferty JP, Lemkau JP, Purdy RR, Rudisill JR. Validity of the Maslach burnout inventory for family practice physicians. J Clin Psychol [Internet]. 1986 [cited 2017 Feb 1];42:488–492. Available from:
    1. Hojat M, Gonnella JS, Nasca TJ, Mangione S, Vergare M, Magee M. Physician empathy: definition, components, measurement, and relationship to gender and specialty. Am J Psychiatry. 2002;159:1563–1569. doi: 10.1176/appi.ajp.159.9.1563.
    1. Ashworth CD, Williamson P, Montano D. A scale to measure physician beliefs about psychosocial aspects of patient care. Soc Sci Med. 1984;19:1235–1238. doi: 10.1016/0277-9536(84)90376-9.
    1. McLennan JD, Jansen-McWilliams L, Comer DM, Gardner WP, Kelleher KJ. The physician belief scale and psychosocial problems in children: a report from the pediatric research in office settings and the ambulatory sentinel practice network. J Dev Behav Pediatr. 1999;20:24. doi: 10.1097/00004703-199902000-00004.
    1. Baer RA, Smith GT, Hopkins J, Krietemeyer J, Toney L. Using self-report assessment methods to explore facets of mindfulness. Assessment [Internet]. 2006 [cited 2015 Oct 14];13:27–45. Available from:
    1. Bartholomew K, Horowitz LM. Attachment styles among young adults: a test of a four-category model. J Pers Soc Psychol [Internet]. 1991 [cited 2017 Feb 1];61:226–244. Available from:
    1. Dhont K, Roets A, Van Hiel A. Opening closed minds: the combined effects of intergroup contact and need for closure on prejudice. Personal Soc Psychol Bull. 2011;37:514. doi: 10.1177/0146167211399101.
    1. Kane GC, Gotto JL, Mangione S, West S, Hojat M. Jefferson scale of Patient’s perceptions of physician empathy: preliminary psychometric data. Croat Med J [Internet]. 2007 [cited 2017 Feb 3];48:81–86. Available from:
    1. Epstein RM, Dannefer EF, Nofziger AC, Hansen JT, Schultz SH, Jospe N, et al. Comprehensive assessment of professional competence: the Rochester experiment. Teach Learn Med [Internet]. 2004 [cited 2017 Feb 1];16:186–196. Available from: 10.1207/s15328015tlm1602_12
    1. Snijders TAB. Power and sample size in multilevel linear models. In: Everette BS, Howell DC, editors. Encycl. Stat. Behav. Sci. [Internet]. Chichester: John Wiley & Sons, Ltd; 2005 [cited 2017 Mar 4]. p. 1570–1573. Available from: .

Source: PubMed

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