Cited by 5Patient-Provider Communication in HealthcareEmpathy and Medical EducationDiabetes Management and Education

Is sociodemographic status associated with empathic communication and decision quality in diabetes care?

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Bruno, Brigida A., Guirguis, Karen, Rofaiel, David, Yu, Catherine H.·2022·Journal of General Internal Medicine

Abstract

Objective: To assess the relationship between empathic communication, shared decision-making, and patient sociodemographic factors of income, education, and ethnicity in patients with diabetes. Research Design and Methods: This was a cross-sectional study from five primary care practices in the Greater Toronto Area, Ontario, Canada, participating in a randomized controlled trial of a diabetes goal setting and shared decision-making plan. Participants included 30 patients with diabetes and 23 clinicians (physicians, nurses, dietitians, and pharmacists), with a sample size of 48 clinical encounters. Clinical encounter audiotapes were coded using the Empathic Communication Coding System (ECCS) and Decision Support Analysis Tool (DSAT-10). Results: The most frequent empathic responses among encounters were “acknowledgement with pursuit” (28.9%) and “confirmation” (30.0%). The most frequently assessed DSAT components were “stage” (86%) and knowledge of options (82.0%). ECCS varied by education (p=0.030) and ethnicity (p=0.03), but not income. Patients with only a college degree received more empathic communication than patients with bachelor’s degrees or more, and South Asian patients received less empathic communication than Asian patients. DSAT varied with ethnicity (p=0.07) but not education or income. White patients experienced more shared decision-making than those in the “other” category. Conclusions: We identified a new relationship between ECCS, education and ethnicity, as well as DSAT and ethnicity. Limitations include sample size, heterogeneity of encounters, and predominant white ethnicity. These associations may be evidence of systemic biases in healthcare, with hidden roots in medical education.

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References 38 · Cited by 5

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  1. [2]Braveman P What are health disparities and health equity? We need to be clear Public Health Rep Wash DC 1974 2014 129 Suppl 2 5 8 10.1177/00333549141291S203 PMC3863701 24385658 · DOI · Paper page
  2. [3]Emanuel EJ, Gudbranson E, Van Parys J, Gørtz M, Helgeland J, Skinner J. Comparing health outcomes of privileged US citizens with those of average residents of other developed countries. JAMA Intern Med. Published online December 28, 2020. doi:10.1001/jamainternmed.2020.7484 PMC7770612 33369633 · DOI
  3. [4]Clark AM DesMeules M Luo W Duncan AS Wielgosz A Socioeconomic status and cardiovascular disease: risks and implications for care Nat Rev Cardiol. 2009 6 11 712 722 10.1038/nrcardio.2009.163 19770848 · DOI · Paper page
  4. [5]Adler NE Newman K Socioeconomic disparities in health: pathways and policies Health Aff (Millwood). 2002 21 2 60 76 10.1377/hlthaff.21.2.60 11900187 · DOI
  5. [6]Mead N, Bower P. Patient-centredness: a conceptual framework and review of the empirical literature. Soc Sci Med 1982. 2000;51(7):1087-1110. doi:10.1016/s0277-9536(00)00098-8 11005395 · DOI
  6. [7]Stacey D, Légaré F, Col NF, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014;(1):CD001431. doi:10.1002/14651858.CD001431.pub4 24470076 · DOI
  7. [8]Serrano V, Rodriguez-Gutierrez R, Hargraves I, Gionfriddo M, Tamhane S, Montori V. Shared decision-making in the care of individuals with diabetes. Diabet Med J Br Diabet Assoc. 2016;33. doi:10.1111/dme.13143 27105298 · DOI
  8. [9]Lown BA, Hanson JL, Clark WD. Mutual influence in shared decision making: a collaborative study of patients and physicians. Health Expect. 2009;12(2):160-174. doi:https://doi.org/10.1111/j.1369-7625.2008.00525.x PMC5060484 19236633 · DOI
  9. [10]Bylund CL, Makoul G. Examining empathy in medical encounters: an observational study using the empathic communication coding system. Health Commun. 2005;18(2):123-140. doi:10.1207/s15327027hc1802_2 16083407 · DOI
  10. [11]Bonvincini KA, Perlin MJ, Bylund CL, Carroll G, Rouse RA, Goldstein MG. Impact of communication training on physician expression of empathy in patient encounters. Patient Educ Couns. 2009; 75(1):3-10. doi:10.1016/j.pec.2008.09.007 19081704 · DOI
  11. [12]Chow EA, Foster H, Gonzalez V, McIver L. The disparate impact of diabetes on racial/ethnic minority populations. Clin Diabetes. 2012;30(3):130-133. doi:10.2337/diaclin.30.3.130 · DOI
  12. [13]Turin TC Saad N Jun M Lifetime risk of diabetes among First Nations and non–First Nations people CMAJ. 2016 188 16 1147 1153 10.1503/cmaj.150787 27647609 PMC5088075 · DOI
  13. [14]Hill J Nielsen M Fox MH Understanding the social factors that contribute to diabetes: a means to informing health care and social policies for the chronically ill Perm J. 2013 17 2 67 72 10.7812/TPP/12-099 23704847 PMC3662286 · DOI
  14. [15]Rawshani A Svensson A-M Rosengren A Eliasson B Gudbjörnsdottir S Impact of socioeconomic status on cardiovascular disease and mortality in 24,947 individuals with type 1 diabetes Diabetes Care. 2015 38 8 1518 1527 10.2337/dc15-0145 25972573 · DOI
  15. [16]Riley J, Antza C, Kempegowda P, et al. Social deprivation and incident diabetes-related foot disease in patients with type 2 diabetes: a population-based cohort study. 2021;44:9. 33483358
  16. [17]Okunrintemi V Khera R Spatz ES Association of income disparities with patient-reported healthcare experience J Gen Intern Med. 2019 34 6 884 892 10.1007/s11606-019-04848-4 30783877 PMC6544715 · DOI
  17. [18]Mercer SW Higgins M Bikker AM General practitioners’ empathy and health outcomes: a prospective observational study of consultations in areas of high and low deprivation Ann Fam Med. 2016 14 2 117 124 10.1370/afm.1910 26951586 PMC4781514 · DOI
  18. [20]Kaseweter KA Drwecki BB Prkachin KM Racial differences in pain treatment and empathy in a Canadian sample Pain Res Manag J Can Pain Soc. 2012 17 6 381 384 10.1155/2012/803474 PMC3659010 23248809 · DOI
  19. [22]Guimond P Bunn H O’Connor AM Validation of a tool to assess health practitioners’ decision support and communication skills Patient Educ Couns. 2003 50 3 235 245 10.1016/s0738-3991(03)00043-0 12900093 · DOI
  20. [23]Bruno BA Choi D Thorpe KE Yu CH Relationship among diabetes distress, decisional conflict, quality of life, and patient perception of chronic illness care in a cohort of patients with type 2 diabetes and other comorbidities Diabetes Care. 2019 42 7 1170 1177 10.2337/dc18-1256 31048410 · DOI
  21. [24]Yu CH, Ivers NM, Stacey D, et al. Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict--study protocol for a randomized controlled trial. Trials. 2015;16:286. doi:10.1186/s13063-015-0797-8 PMC4486130 26116444 · DOI
  22. [25]Yu C Choi D Bruno BA Impact of MyDiabetesPlan, a Web-based patient decision aid on decisional conflict, diabetes distress, quality of life, and chronic illness care in patients with diabetes: cluster randomized controlled trial J Med Internet Res. 2020 22 9 e16984 10.2196/16984 32996893 PMC7557444 · DOI
  23. [27]Dunn OJ Multiple Comparisons among Means J Am Stat Assoc. 1961 56 293 52 64 10.1080/01621459.1961.10482090 · DOI · Paper page
  24. [28]Kruskal WH Wallis WA Use of ranks in one-criterion variance analysis J Am Stat Assoc. 1952 47 260 583 621 10.2307/2280779 · DOI
  25. [32]Elayyan M Rankin J Chaarani MW Factors affecting empathetic patient care behaviour among medical doctors and nurses: an integrative literature review East Mediterr Health J. 2018 24 03 311 318 10.26719/2018.24.3.311 29908027 · DOI
  26. [33]Neumann M Edelhäuser F Tauschel D Empathy decline and its reasons: a systematic review of studies with medical students and residents Acad Med J Assoc Am Med Coll. 2011 86 8 996 1009 10.1097/ACM.0b013e318221e615 21670661 · DOI
  27. [34]Hall WJ Chapman MV Lee KM Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: a systematic review Am J Public Health. 2015 105 12 e60 e76 10.2105/AJPH.2015.302903 26469668 PMC4638275 · DOI · Paper page
  28. [35]Arpey NC Gaglioti AH Rosenbaum ME How socioeconomic status affects patient perceptions of health care: a qualitative study J Prim Care Community Health. 2017 8 3 169 175 10.1177/2150131917697439 28606031 PMC5932696 · DOI · Paper page
  29. [36]Dryden EM Hyde JK Wormwood JB Assessing patients’ perceptions of clinician communication: acceptability of brief point-of-care surveys in primary care J Gen Intern Med. 2020 35 10 2990 2999 10.1007/s11606-020-06062-z 32748346 PMC7572926 · DOI
  30. [37]Ahmad NJ Shi M The need for anti-racism training in medical school curricula Acad Med. 2017 92 8 1073 10.1097/ACM.0000000000001806 28742569 · DOI
  31. [38]Gray DM Joseph JJ Glover AR Olayiwola JN How academia should respond to racism Nat Rev Gastroenterol Hepatol. 2020 17 10 589 590 10.1038/s41575-020-0349-x 32681073 · DOI
  32. [40]Kumagai AK Lypson ML Beyond cultural competence: critical consciousness, social justice, and multicultural education Acad Med J Assoc Am Med Coll. 2009 84 6 782 787 10.1097/ACM.0b013e3181a42398 19474560 · DOI

Authors
Bruno, B. A., Guirguis, K., Rofaiel, D., & Yu, C. H.
Affiliations
  • University of Toronto (CA)
  • Western University (CA)
  • Ollscoil na Gaillimhe – University of Galway (IE)
  • St. Michael's Hospital (CA)
Venue
Journal of General Internal Medicine
Published
2022-01-01
Volume
37
Issue
12
Pages
3013-3019
ISSN
  • 0884-8734 (ISSN-L)
  • 1525-1497
OpenAlex
W4206368891
Cited by
5
References
38
Citations by year
2026: 2 · 2024: 2 · 2023: 1
FWCI
0.86
Type
journal article
Language
en
Open access
Locations
  • Journal of General Internal Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • University of Toronto
  • Canadian Institutes of Health Research (129892_1)
  • Division of Electrical, Communications and Cyber Systems
Topics
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
empathic communication, shared decision-making, diabetes management, sociodemographic factors, patient education level, ethnicity, income, decision quality, primary care, medical education
MeSH terms
Communication, Cross-Sectional Studies, Decision Making, Diabetes Mellitus, Empathy, Humans, Ontario, Physician-Patient Relations

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