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Journal of Behavioral Medicine

, Volume 40, Issue 1, pp 52–68 | Cite as

What is a good medical decision? A research agenda guided by perspectives from multiple stakeholders

  • Jada G. Hamilton
  • Sarah E. Lillie
  • Dana L. Alden
  • Laura Scherer
  • Megan Oser
  • Christine Rini
  • Miho Tanaka
  • John Baleix
  • Mikki Brewster
  • Simon Craddock Lee
  • Mary K. Goldstein
  • Robert M. Jacobson
  • Ronald E. Myers
  • Brian J. Zikmund-Fisher
  • Erika A. Waters
Article

Abstract

Informed and shared decision making are critical aspects of patient-centered care, which has contributed to an emphasis on decision support interventions to promote good medical decision making. However, researchers and healthcare providers have not reached a consensus on what defines a good decision, nor how to evaluate it. This position paper, informed by conference sessions featuring diverse stakeholders held at the 2015 Society of Behavioral Medicine and Society for Medical Decision Making annual meetings, describes key concepts that influence the decision making process itself and that may change what it means to make a good decision: interpersonal factors, structural constraints, affective influences, and values clarification methods. This paper also proposes specific research questions within each of these priority areas, with the goal of moving medical decision making research to a more comprehensive definition of a good medical decision, and enhancing the ability to measure and improve the decision making process.

Keywords

Decision making Shared decision making Decision quality Patient-centered care Physician–patient communication Patient participation 

Notes

Acknowledgments

This work was supported by NCI P30 CA008748 (Jada G. Hamilton), the University Cancer Research Fund (UCRF) of the University of North Carolina at Chapel Hill (Christine Rini), AHRQ R24 HS0022418 and CPRIT PP120097; 150053 (Simon Craddock Lee), the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery (Robert M. Jacobson), and NCATS UL1TR000448 (Erika A. Waters).

Compliance with ethical standards

Conflict of interest

Jada G. Hamilton, Sarah E. Lillie, Dana L. Alden, Laura Scherer, Megan Oser, Christine Rini, Miho Tanaka, John Baleix, Mikki Brewster, Simon Craddock Lee, Mary K. Goldstein, Robert M. Jacobson, Ronald E. Myers, Brian J. Zikmund-Fisher and Erika A. Waters declare that they have no conflict of interest.

Human and animal rights and Informed consent

This article does not contain any studies with human participants performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

Supplementary material

10865_2016_9785_MOESM1_ESM.docx (18 kb)
Supplementary material 1 (DOCX 17 kb)

References

  1. Agrawal, M., Grady, C., Fairclough, D. L., Meropol, N. J., Maynard, K., & Emanuel, E. J. (2006). Patients’ decision-making process regarding participation in phase I oncology research. Journal of Clinical Oncology, 24, 4479–4484. doi: 10.1200/jco.2006.06.0269 PubMedCrossRefGoogle Scholar
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRefGoogle Scholar
  3. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  4. Alden, D. L., Friend, J., Schapira, M., & Stiggelbout, A. (2014). Cultural targeting and tailoring of shared decision making technology: A theoretical framework for improving the effectiveness of patient decision aids in culturally diverse groups. Social Science and Medicine, 105, 1–8. doi: 10.1016/j.socscimed.2014.01.002 PubMedCrossRefGoogle Scholar
  5. Allport, G. W., & Postman, L. (1947). The psychology of rumor. New York: Holt, Rinehart and Winston.Google Scholar
  6. Aspinwall, L. G., & Taylor, S. E. (1993). Effects of social comparison direction, threat, and self-esteem on affect, self-evaluation, and expected success. Journal of Personality and Social Psychology, 64, 708–722.PubMedCrossRefGoogle Scholar
  7. Berger, B. A., & Villaume, W. A. (2013). Motivational interviewing for health care professionals: A sensible approach. Washington, DC: American Pharmacists Association.Google Scholar
  8. Beryl, L. L., Rendle, K. A. S., Halley, M. C., Gillespie, K. A., May, S. G., Glover, J., et al. (2016). Mapping the decision-making process for adjuvant endocrine therapy for breast cancer: The role of decisional resolve. Medical Decision Making. doi: 10.1177/0272989x16640488 PubMedGoogle Scholar
  9. Boss, E. F., Mehta, N., Nagarajan, N., Links, A., Benke, J. R., Berger, Z., et al. (2015). Shared decision making and choice for elective surgical care: A systematic review. Otolaryngology and Head and Neck Surgery. doi: 10.1177/0194599815620558 Google Scholar
  10. Braun, K. L., Kagawa-Singer, M., Holden, A. E., Burhansstipanov, L., Tran, J. H., Seals, B. F., et al. (2012). Cancer patient navigator tasks across the cancer care continuum. Journal of Health Care for the Poor and Underserved, 23, 398–413. doi: 10.1353/hpu.2012.0029 PubMedPubMedCentralCrossRefGoogle Scholar
  11. Bridges, J. F. (2003). Stated preference methods in health care evaluation: An emerging methodological paradigm in health economics. Applied Health Economics and Health Policy, 2, 213–224.PubMedGoogle Scholar
  12. Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge: Harvard University Press.Google Scholar
  13. Chewning, B., Bylund, C. L., Shah, B., Arora, N. K., Gueguen, J. A., & Makoul, G. (2012). Patient preferences for shared decisions: A systematic review. Patient Education and Counseling, 86, 9–18. doi: 10.1016/j.pec.2011.02.004 PubMedCrossRefGoogle Scholar
  14. Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 24, pp. 201–234). New York: Academic Press.Google Scholar
  15. Connolly, T., & Reb, J. (2005). Regret in cancer-related decisions. Health Psychology, 24, S29–S34. doi: 10.1037/0278-6133.24.4.s29 PubMedCrossRefGoogle Scholar
  16. Consedine, N. S., Magai, C., Krivoshekova, Y. S., Ryzewicz, L., & Neugut, A. I. (2004). Fear, anxiety, worry, and breast cancer screening behavior: A critical review. Cancer Epidemiology, Biomarkers and Prevention, 13, 501–510.PubMedGoogle Scholar
  17. Contractor, N. S., & Eisenberg, E. M. (1990). Communication networks and new media in organizations. In J. F. C. W. Steinfeld (Ed.), Organizations and communication technology (pp. 143–172). Newbury Park, CA: Sage.CrossRefGoogle Scholar
  18. Craddock Lee, S., Marks, E. G., Sanders, J. M., & Wiebe, D. J. (2015). Elucidating patient-perceived role in “decision-making” among African Americans receiving lung cancer care through a county safety-net system. Journal of Cancer Survivorship. doi: 10.1007/s11764-015-0461-z Google Scholar
  19. Crist, J. D. (2005). Cafecitos and telenovelas: Culturally competent interventions to facilitate Mexican American families’ decisions to use home care services. Geriatric Nursing, 26, 229–232.PubMedCrossRefGoogle Scholar
  20. de Vries, M., Fagerlin, A., Witteman, H. O., & Scherer, L. D. (2013). Combining deliberation and intuition in patient decision support. Patient Education and Counseling, 91, 154–160. doi: 10.1016/j.pec.2012.11.016 PubMedCrossRefGoogle Scholar
  21. Denberg, T. D., Melhado, T. V., & Steiner, J. F. (2006). Patient treatment preferences in localized prostate carcinoma: The influence of emotion, misconception, and anecdote. Cancer, 107, 620–630. doi: 10.1002/cncr.22033 PubMedCrossRefGoogle Scholar
  22. DiFonzo, N., & Bordia, P. (2007). Rumors influence: Toward a dynamic social impact theory of rumor. In A. R. Pratkanis (Ed.), The science of social influence: Advances and future progress (pp. 271–296). Philadelphia, PA: Psychology Press.Google Scholar
  23. DiFonzo, N., Robinson, N. M., Suls, J. M., & Rini, C. (2012). Rumors about cancer: Content, sources, coping, transmission, and belief. Journal of Health Communication, 17, 1099–1115. doi: 10.1080/10810730.2012.665417 PubMedCrossRefGoogle Scholar
  24. Dillard, A. J., Fagerlin, A., Dal Cin, S., Zikmund-Fisher, B. J., & Ubel, P. A. (2010). Narratives that address affective forecasting errors reduce perceived barriers to colorectal cancer screening. Social Science and Medicine, 71, 45–52. doi: 10.1016/j.socscimed.2010.02.038 PubMedPubMedCentralCrossRefGoogle Scholar
  25. Drew, E. M., & Schoenberg, N. E. (2011). Deconstructing fatalism: Ethnographic perspectives on women’s decision making about cancer prevention and treatment. Medical Anthropology Quarterly, 25, 164–182.PubMedPubMedCentralCrossRefGoogle Scholar
  26. Ellis, P. M. (2000). Attitudes towards and participation in randomised clinical trials in oncology: A review of the literature. Annals of Oncology, 11, 939–945.PubMedCrossRefGoogle Scholar
  27. Elwyn, G., Frosch, D., Volandes, A. E., Edwards, A., & Montori, V. M. (2010). Investing in deliberation: A definition and classification of decision support interventions for people facing difficult health decisions. Medical Decision Making, 30, 701–711. doi: 10.1177/0272989x10386231 PubMedCrossRefGoogle Scholar
  28. Elwyn, G., Hutchings, H., Edwards, A., Rapport, F., Wensing, M., Cheung, W. Y., et al. (2005). The OPTION scale: Measuring the extent that clinicians involve patients in decision-making tasks. Health Expectations, 8, 34–42. doi: 10.1111/j.1369-7625.2004.00311.x PubMedPubMedCentralCrossRefGoogle Scholar
  29. Elwyn, G., Lloyd, A., Joseph-Williams, N., Cording, E., Thomson, R., Durand, M. A., et al. (2013). Option Grids: Shared decision making made easier. Patient Education and Counseling, 90, 207–212. doi: 10.1016/j.pec.2012.06.036 PubMedCrossRefGoogle Scholar
  30. Elwyn, G., & Miron-Shatz, T. (2010). Deliberation before determination: The definition and evaluation of good decision making. Health Expectations, 13, 139–147. doi: 10.1111/j.1369-7625.2009.00572.x PubMedCrossRefGoogle Scholar
  31. Elwyn, G., Stiel, M., Durand, M. A., & Boivin, J. (2011). The design of patient decision support interventions: Addressing the theory–practice gap. Journal of Evaluation in Clinical Practice, 17, 565–574. doi: 10.1111/j.1365-2753.2010.01517.x PubMedCrossRefGoogle Scholar
  32. Fagerlin, A., Pignone, M., Abhyankar, P., Col, N., Feldman-Stewart, D., Gavaruzzi, T., et al. (2013). Clarifying values: An updated review. BMC Medical Informatics and Decision Making, 13, S8. doi: 10.1186/1472-6947-13-s2-s8 PubMedPubMedCentralCrossRefGoogle Scholar
  33. Feinstein, A. R. (1985). The ‘chagrin factor’ and qualitative decision analysis. Archives of Internal Medicine, 145, 1257–1259.PubMedCrossRefGoogle Scholar
  34. Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140.CrossRefGoogle Scholar
  35. Ford, B. M., & Kaphingst, K. A. (2009). Lay interpersonal sources for health information related to beliefs about the modifiability of cancer risk. Cancer Causes and Control, 20, 1975–1983. doi: 10.1007/s10552-009-9392-1 PubMedPubMedCentralCrossRefGoogle Scholar
  36. Freeman, H. P., & Rodriguez, R. L. (2011). History and principles of patient navigation. Cancer, 117, 3539–3542. doi: 10.1002/cncr.26262 PubMedPubMedCentralCrossRefGoogle Scholar
  37. Garcia-Retamero, R., & Galesic, M. (2010). How to reduce the effect of framing on messages about health. Journal of General Internal Medicine, 25, 1323–1329. doi: 10.1007/s11606-010-1484-9 PubMedPubMedCentralCrossRefGoogle Scholar
  38. Green, M. C., & Brock, T. C. (2002). In the mind’s eye: Transportation-imagery model of narrative persuasion. In M. C. Green, J. J. Strange, & T. C. Brock (Eds.), Narrative impact: Social and cognitive foundations (pp. 315–341). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  39. Gruskin, S., Ferguson, L., Alfven, T., Rugg, D., & Peersman, G. (2013). Identifying structural barriers to an effective HIV response: Using the National Composite Policy Index data to evaluate the human rights, legal and policy environment. Journal of the International AIDS Society, 16, 18000. doi: 10.7448/ias.16.1.18000 PubMedPubMedCentralGoogle Scholar
  40. Hafner, R. J., White, M. P., & Handley, S. J. (2016). The excess choice effect: The role of outcome valence and counterfactual thinking. British Journal of Psychology, 107, 36–51. doi: 10.1111/bjop.12120 PubMedCrossRefGoogle Scholar
  41. Halpern, J. (2007). Empathy and patient–physician conflicts. Journal of General Internal Medicine, 22, 696–700. doi: 10.1007/s11606-006-0102-3 PubMedPubMedCentralCrossRefGoogle Scholar
  42. Halpern, J., & Arnold, R. M. (2008). Affective forecasting: An unrecognized challenge in making serious health decisions. Journal of General Internal Medicine, 23, 1708–1712. doi: 10.1007/s11606-008-0719-5 PubMedPubMedCentralCrossRefGoogle Scholar
  43. Hay, J. L., & Craddock Lee, S. J. (2009). Theory building through qualitative research: Marshalling opportunities to advance cancer screening efforts. Health Education and Behavior, 36, 145S–149S. (discussion 167S–171S).PubMedCrossRefGoogle Scholar
  44. Hersch, J., Barratt, A., Jansen, J., Houssami, N., Irwig, L., Jacklyn, G., et al. (2014). The effect of information about overdetection of breast cancer on women’s decision-making about mammography screening: Study protocol for a randomised controlled trial. BMJ Open, 4, e004990. doi: 10.1136/bmjopen-2014-004990 PubMedPubMedCentralCrossRefGoogle Scholar
  45. Hoerger, M., Epstein, R. M., Winters, P. C., Fiscella, K., Duberstein, P. R., Gramling, R., et al. (2013). Values and options in cancer care (VOICE): Study design and rationale for a patient-centered communication and decision-making intervention for physicians, patients with advanced cancer, and their caregivers. BMC Cancer, 13, 188. doi: 10.1186/1471-2407-13-188 PubMedPubMedCentralCrossRefGoogle Scholar
  46. Holmes-Rovner, M., Nelson, W. L., Pignone, M., Elwyn, G., Rovner, D. R., O’Connor, A. M., et al. (2007). Are patient decision aids the best way to improve clinical decision making? Report of the IPDAS symposium. Medical Decision Making, 27, 599–608. doi: 10.1177/0272989x07307272 PubMedCrossRefGoogle Scholar
  47. Horne, R., Cooper, V., Gellaitry, G., Date, H. L., & Fisher, M. (2007). Patients’ perceptions of highly active antiretroviral therapy in relation to treatment uptake and adherence: The utility of the necessity-concerns framework. Journal of Acquired Immune Deficiency Syndromes, 45, 334–341. doi: 10.1097/QAI.0b013e31806910e3 PubMedGoogle Scholar
  48. Hoyt, W. T., & Kerns, M.-D. (1999). Magnitude and moderators of bias in observer ratings: A meta-analysis. Psychological Methods, 4, 403–424. doi: 10.1037/1082-989X.4.4.403 CrossRefGoogle Scholar
  49. Hunleth, J. M., Steinmetz, E. K., McQueen, A., & James, A. S. (2016). Beyond adherence: Health care disparities and the struggle to get screened for colon cancer. Qualitative Health Research, 26, 17–31. doi: 10.1177/1049732315593549 PubMedCrossRefGoogle Scholar
  50. Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st century. Washington, DC: The National Academies Press.Google Scholar
  51. Joseph-Williams, N., Elwyn, G., & Edwards, A. (2014). Knowledge is not power for patients: A systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision making. Patient Education and Counseling, 94, 291–309. doi: 10.1016/j.pec.2013.10.031 PubMedCrossRefGoogle Scholar
  52. Kinnier, R. T. (1995). A reconceptualization of values clarification: Values conflict resolution. Journal of Counseling and Development, 74, 18–24. doi: 10.1002/j.1556-6676.1995.tb01817.x CrossRefGoogle Scholar
  53. Lacey, H., Fagerlin, A., Loewenstein, G., Smith, D., Riis, J., & Ubel, P. (2006). It must be awful for them: Perspectives and task context affects ratings for health condition. Judgment and Decision Making, 1, 146–152.Google Scholar
  54. Laidsaar-Powell, R. C., Butow, P. N., Bu, S., Charles, C., Gafni, A., Lam, W. W., et al. (2013). Physician–patient–companion communication and decision-making: A systematic review of triadic medical consultations. Patient Education and Counseling, 91, 3–13. doi: 10.1016/j.pec.2012.11.007 PubMedCrossRefGoogle Scholar
  55. Lara, P. N., Jr., Higdon, R., Lim, N., Kwan, K., Tanaka, M., Lau, D. H., et al. (2001). Prospective evaluation of cancer clinical trial accrual patterns: Identifying potential barriers to enrollment. Journal of Clinical Oncology, 19, 1728–1733.PubMedGoogle Scholar
  56. Larson, E. B., & Yao, X. (2005). Clinical empathy as emotional labor in the patient–physician relationship. JAMA, 293, 1100–1106. doi: 10.1001/jama.293.9.1100 PubMedCrossRefGoogle Scholar
  57. Legare, F., Ratte, S., Gravel, K., & Graham, I. D. (2008). Barriers and facilitators to implementing shared decision-making in clinical practice: Update of a systematic review of health professionals’ perceptions. Patient Education and Counseling, 73, 526–535. doi: 10.1016/j.pec.2008.07.018 PubMedCrossRefGoogle Scholar
  58. Legare, F., & Witteman, H. O. (2013). Shared decision making: Examining key elements and barriers to adoption into routine clinical practice. Health Affairs, 32, 276–284. doi: 10.1377/hlthaff.2012.1078 PubMedCrossRefGoogle Scholar
  59. Lerner, J. S., Li, Y., Valdesolo, P., & Kassam, K. S. (2015). Emotion and decision making. Annual Review of Psychology, 66, 799–823. doi: 10.1146/annurev-psych-010213-115043 PubMedCrossRefGoogle Scholar
  60. Leyva, B., Persoskie, A., Ottenbacher, A., Hamilton, J. G., Allen, J. D., Kobrin, S. C., et al. (2015). Do men receive information required for shared decision making about PSA testing? Results from a national survey. Journal of Cancer Education. doi: 10.1007/s13187-015-0870-8 Google Scholar
  61. Liberatore, M. J., & Nydick, R. L. (2008). The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research, 189, 194–207.CrossRefGoogle Scholar
  62. Loewenstein, G. (2005). Hot–cold empathy gaps and medical decision making. Health Psychology, 24, S49–S56. doi: 10.1037/0278-6133.24.4.s49 PubMedCrossRefGoogle Scholar
  63. Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127, 267–286. doi: 10.1037//0033-2909.127.2.267 PubMedCrossRefGoogle Scholar
  64. Mahler, H. I., Kulik, J. A., Butler, H. A., Gerrard, M., & Gibbons, F. X. (2008). Social norms information enhances the efficacy of an appearance-based sun protection intervention. Social Science and Medicine, 67, 321–329. doi: 10.1016/j.socscimed.2008.03.037 PubMedPubMedCentralCrossRefGoogle Scholar
  65. Mamede, S., & Schmidt, H. G. (2014). The twin traps of overtreatment and therapeutic nihilism in clinical practice. Medical Education, 48, 34–43. doi: 10.1111/medu.12264 PubMedCrossRefGoogle Scholar
  66. McCloskey, D. J., Aguilar-Gaxiola, S., & Michener, J. L. (2011). Principles of community engagement, 2nd edition. Clinical and translational science awards consortium, community engagement key function committee task force on the principles of community engagement (NIH Pub# 11-7782). Retrieved from http://www.atsdr.cdc.gov/communityengagement/pdf/PCE_Report_508_FINAL.pdf
  67. McMullen, L. M. (2012). Discourses of influence and autonomy in physicians’ accounts of treatment decision making for depression. Qualitative Health Research, 22, 238–249. doi: 10.1177/1049732311420738 PubMedCrossRefGoogle Scholar
  68. McNeil, B. J., Pauker, S. G., Sox, H. C., Jr., & Tversky, A. (1982). On the elicitation of preferences for alternative therapies. New England Journal of Medicine, 306, 1259–1262. doi: 10.1056/nejm198205273062103 PubMedCrossRefGoogle Scholar
  69. Meier, A., Lyons, E. J., Frydman, G., Forlenza, M., & Rimer, B. K. (2007). How cancer survivors provide support on cancer-related Internet mailing lists. Journal of Medical Internet Research, 9, e12. doi: 10.2196/jmir.9.2.e12 PubMedPubMedCentralCrossRefGoogle Scholar
  70. Minkler, M., & Wallerstein, N. (Eds.). (2008). Community based participatory research for Health: Process to outcomes (2nd ed.). San Francisco, CA: Jossey Bass.Google Scholar
  71. Monge, P. E., & Contractor, N. S. (2003). Theories of communication networks. Oxford: University Press.Google Scholar
  72. Nyrop, K. A., Deal, A. M., Williams, G. R., Guerard, E. J., Pergolotti, M., & Muss, H. B. (2015). Physical activity communication between oncology providers and patients with early-stage breast, colon, or prostate cancer. Cancer. doi: 10.1002/cncr.29786 PubMedPubMedCentralGoogle Scholar
  73. O’Connor, A. M., Llewellyn-Thomas, H., & Stacey, D. (2005). IPDAS collaboration background document. Retrieved from http://ipdas.ohri.ca/resources.html
  74. O’Connor, A. M., Tugwell, P., Wells, G. A., Elmslie, T., Jolly, E., Hollingworth, G., et al. (1998). A decision aid for women considering hormone therapy after menopause: Decision support framework and evaluation. Patient Education and Counseling, 33, 267–279.PubMedCrossRefGoogle Scholar
  75. Ohlen, J., Balneaves, L. G., Bottorff, J. L., & Brazier, A. S. (2006). The influence of significant others in complementary and alternative medicine decisions by cancer patients. Social Science and Medicine, 63, 1625–1636. doi: 10.1016/j.socscimed.2006.03.050 PubMedCrossRefGoogle Scholar
  76. Owens, D. K., & Shekelle, P. G. (2013). Quality of life, utilities, quality-adjusted life-years, and health care decision making: Comment on “Estimating quality of life in acute venous thrombosis”. JAMA Internal Medicine, 173, 1073–1074. doi: 10.1001/jamainternmed.2013.7396 PubMedCrossRefGoogle Scholar
  77. Oyserman, D., Sorensen, N., Reber, R., & Chen, S. X. (2009). Connecting and separating mind-sets: Culture as situated cognition. Journal of Personality and Social Psychology, 97, 217–235. doi: 10.1037/a0015850 PubMedCrossRefGoogle Scholar
  78. Peters, E., Vastfjall, D., Garling, T., & Slovic, P. (2006). Affect and decision making: A “hot” topic. Journal of Behavioral Decision Making, 1, 79–85.CrossRefGoogle Scholar
  79. Pham, M. T. (2007). Emotion and rationality: A critical review and interpretation of empirical evidence. Review of General Psychology, 11, 155–178. doi: 10.1037/1089-2680.11.2.155 CrossRefGoogle Scholar
  80. Pignone, M. P., Brenner, A. T., Hawley, S., Sheridan, S. L., Lewis, C. L., Jonas, D. E., et al. (2012a). Conjoint analysis versus rating and ranking for values elicitation and clarification in colorectal cancer screening. Journal of General Internal Medicine, 27, 45–50. doi: 10.1007/s11606-011-1837-z PubMedCrossRefGoogle Scholar
  81. Pignone, M. P., Fagerlin, A., Abhyankar, P., Col, N., Feldman-Stewart, D., Gavaruzzi, T., et al. (2012). Clarifying and expressing values. In R. Volk & H. Llewellyn-Thomas (Eds.), 2012 Update of the International Patient Decision Aid Standards (IPDAS) collabortation’s background document. Chapter D. Retreived from http://ipdas.ohri.ca/resources.html
  82. Ratliff, A., Angell, M., Dow, R. W., Kuppermann, M., Nease, R. F., Jr., Fisher, R., et al. (1999). What is a good decision? Effective Clinical Practice, 2, 185–197.PubMedGoogle Scholar
  83. Rempel, L. A., & Rempel, J. K. (2004). Partner influence on health behavior decision-making: Increasing breastfeeding duration. Journal of Social and Personal Relationships, 21, 92–111. doi: 10.1177/0265407504039841 CrossRefGoogle Scholar
  84. Rini, C., Jandorf, L., Goldsmith, R. E., Manne, S. L., Harpaz, N., & Itzkowitz, S. H. (2011). Interpersonal influences on patients’ surgical decision making: The role of close others. Journal of Behavioral Medicine, 34, 396–407. doi: 10.1007/s10865-011-9323-y PubMedPubMedCentralCrossRefGoogle Scholar
  85. Ryan, M., & Farrar, S. (2000). Using conjoint analysis to elicit preferences for health care. BMJ, 320, 1530–1533.PubMedPubMedCentralCrossRefGoogle Scholar
  86. Ryan, M., & Gerard, K. (2003). Using discrete choice experiments to value health care programmes: Current practice and future research reflections. Applied Health Economics and Health Policy, 2, 55–64.PubMedGoogle Scholar
  87. Ryan, M., Scott, D. A., Reeves, C., Bate, A., van Teijlingen, E. R., Russell, E. M., et al. (2001). Eliciting public preferences for healthcare: A systematic review of techniques. Health Technology Assessment, 5, 1–186.PubMedCrossRefGoogle Scholar
  88. Ryan, J., & Sysko, J. (2007). The contingency of patient preferences for involvement in health decision making. Health Care Management Review, 32, 30–36.PubMedCrossRefGoogle Scholar
  89. Sandberg, T., & Conner, M. (2008). Anticipated regret as an additional predictor in the theory of planned behaviour: A meta-analysis. British Journal of Social Psychology, 47, 589–606. doi: 10.1348/014466607x258704 PubMedCrossRefGoogle Scholar
  90. Scherer, L. D., de Vries, M., Zikmund-Fisher, B. J., Witteman, H. O., & Fagerlin, A. (2015). Trust in deliberation: The consequences of deliberative decision strategies for medical decisions. Health Psychology, 34, 1090–1099. doi: 10.1037/hea0000203 PubMedCrossRefGoogle Scholar
  91. Scholl, I., Koelewijn-van Loon, M., Sepucha, K., Elwyn, G., Legare, F., Harter, M., et al. (2011). Measurement of shared decision making—A review of instruments. Z Evid Fortbild Qual Gesundhwes, 105, 313–324. doi: 10.1016/j.zefq.2011.04.012 PubMedCrossRefGoogle Scholar
  92. Schumm, K., Skea, Z., McKee, L., & N’Dow, J. (2010). ‘They’re doing surgery on two people’: A meta-ethnography of the influences on couples’ treatment decision making for prostate cancer. Health Expectations, 13, 335–349. doi: 10.1111/j.1369-7625.2010.00624.x PubMedPubMedCentralCrossRefGoogle Scholar
  93. Sepucha, K. R., Borkhoff, C. M., Lally, J., Levin, C. A., Matlock, D. D., Ng, C. J., et al. (2013). Establishing the effectiveness of patient decision aids: Key constructs and measurement instruments. BMC Medical Informatics and Decision Making, 13, S12. doi: 10.1186/1472-6947-13-s2-s12 PubMedPubMedCentralCrossRefGoogle Scholar
  94. Sepucha, K. R., Fowler, F. J., Jr., & Mulley, A. G., Jr. (2004). Policy support for patient-centered care: The need for measurable improvements in decision quality. Health Affairs. doi: 10.1377/hlthaff.var.54 PubMedGoogle Scholar
  95. Shaffer, V. A., Hulsey, L., & Zikmund-Fisher, B. J. (2013). The effects of process-focused versus experience-focused narratives in a breast cancer treatment decision task. Patient Education and Counseling, 93, 255–264. doi: 10.1016/j.pec.2013.07.013 PubMedCrossRefGoogle Scholar
  96. Sheridan, S. L., Harris, R. P., Woolf, S. H., & Shared Decision-Making Workgroup of the US Preventive Services Task Force. (2004). Shared decision making about screening and chemoprevention: A suggested approach from the US Preventive Services Task Force. American Journal of Preventive Medicine, 26, 56–66.PubMedCrossRefGoogle Scholar
  97. Siminoff, L. A., Dorflinger, L., Agyemang, A., Baker, S., & Wilson-Genderson, M. (2012). Oncologists’ assessments of lung cancer patient and family disagreements regarding treatment decision making. Lung Cancer, 77, 212–216. doi: 10.1016/j.lungcan.2012.02.008 PubMedPubMedCentralCrossRefGoogle Scholar
  98. Slovic, P. (1995). The construction of preference. American Psychologist, 50, 364–371. doi: 10.1037/0003-066x.50.5.364 CrossRefGoogle Scholar
  99. Slovic, P., Peters, E., Finucane, M. L., & Macgregor, D. G. (2005). Affect, risk, and decision making. Health Psychology, 24, S35–S40. doi: 10.1037/0278-6133.24.4.S35 PubMedCrossRefGoogle Scholar
  100. Smith, P. B., Bond, M. H., & Kagiticibasi, C. (2006). Understanding social psychology across cultures: Living and working in a changing world. London: Sage.Google Scholar
  101. Smith, S. K., Dixon, A., Trevena, L., Nutbeam, D., & McCaffery, K. J. (2009). Exploring patient involvement in healthcare decision making across different education and functional health literacy groups. Social Science and Medicine, 69, 1805–1812. doi: 10.1016/j.socscimed.2009.09.056 PubMedCrossRefGoogle Scholar
  102. Stacey, D., Legare, F., Col, N. F., Bennett, C. L., Barry, M. J., Eden, K. B., et al. (2014). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews. doi: 10.1002/14651858.CD001431.pub4 Google Scholar
  103. Stange, K. C. (2009). The problem of fragmentation and the need for integrative solutions. Annals of Family Medicine, 7, 100–103. doi: 10.1370/afm.971 PubMedPubMedCentralCrossRefGoogle Scholar
  104. Stiggelbout, A. M., Jansen, S. J., Otten, W., Baas-Thijssen, M. C., van Slooten, H., & van de Velde, C. J. (2007). How important is the opinion of significant others to cancer patients’ adjuvant chemotherapy decision-making? Supportive Care in Cancer, 15, 319–325. doi: 10.1007/s00520-006-0149-z PubMedCrossRefGoogle Scholar
  105. Stokols, D. (1996). Translating social ecological theory into guidelines for community health promotion. American Journal of Health Promotion, 10, 282–298.PubMedCrossRefGoogle Scholar
  106. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131. doi: 10.1126/science.185.4157.1124 PubMedCrossRefGoogle Scholar
  107. Ubel, P. A., Loewenstein, G., Schwarz, N., & Smith, D. (2005). Misimagining the unimaginable: The disability paradox and health care decision making. Health Psychology, 24, S57–S62. doi: 10.1037/0278-6133.24.4.s57 PubMedCrossRefGoogle Scholar
  108. van Dam, L., Korfage, I. J., Kuipers, E. J., Hol, L., van Roon, A. H., Reijerink, J. C., et al. (2013). What influences the decision to participate in colorectal cancer screening with faecal occult blood testing and sigmoidoscopy? European Journal of Cancer, 49, 2321–2330. doi: 10.1016/j.ejca.2013.03.007 PubMedCrossRefGoogle Scholar
  109. van Kleffens, T., van Baarsen, B., & van Leeuwen, E. (2004). The medical practice of patient autonomy and cancer treatment refusals: A patients’ and physicians’ perspective. Social Science and Medicine, 58, 2325–2336. doi: 10.1016/j.socscimed.2003.08.027 PubMedCrossRefGoogle Scholar
  110. van Laer, T., de Ruyter, K., Visconti, L. M., & Wetzels, M. (2014). The extended transportation-imagery model: A meta-analysis of the antecedents and consequences of consumers’ narrative transportation. Journal of Consumer Research, 40, 797–817. doi: 10.1086/673383 CrossRefGoogle Scholar
  111. van Osch, M., Sep, M., van Vliet, L. M., van Dulmen, S., & Bensing, J. M. (2014). Reducing patients’ anxiety and uncertainty, and improving recall in bad news consultations. Health Psychology, 33, 1382–1390. doi: 10.1037/hea0000097 PubMedCrossRefGoogle Scholar
  112. Van Stee, S. K., Noar, S. M., Allard, S., Zimmerman, R., Palmgreen, P., & McClanahan, K. (2012). Reactions to safer-sex public service announcement message features: Attention, perceptions of realism, and cognitive responses. Qualitative Health Research, 22, 1568–1579. doi: 10.1177/1049732312456745 PubMedCrossRefGoogle Scholar
  113. Volk, R., & Llewellyn-Thomas, H. (2012). 2012 Update of the International Patient Decision Aids Standards (IPDAS) collaboration’s background document. Retrieved from http://ipdas.ohri.ca/resources.html
  114. von Neuman, J., & Morgenstern, O. (1947). Theory of games and economic behavior (2nd ed.). Princeton, NJ: Princeton University Press.Google Scholar
  115. Willems, S., De Maesschalck, S., Deveugele, M., Derese, A., & De Maeseneer, J. (2005). Socio-economic status of the patient and doctor–patient communication: Does it make a difference? Patient Education and Counseling, 56, 139–146. doi: 10.1016/j.pec.2004.02.011 PubMedCrossRefGoogle Scholar
  116. Williams, S. W., Hanson, L. C., Boyd, C., Green, M., Goldmon, M., Wright, G., et al. (2008). Communication, decision making, and cancer: What African Americans want physicians to know. Journal of Palliative Medicine, 11, 1221–1226. doi: 10.1089/jpm.2008.0057 PubMedPubMedCentralCrossRefGoogle Scholar
  117. Winn, K., Ozanne, E., & Sepucha, K. (2015). Measuring patient-centered care: An updated systematic review of how studies define and report concordance between patients’ preferences and medical treatments. Patient Education and Counseling, 98, 811–821. doi: 10.1016/j.pec.2015.03.012 PubMedCrossRefGoogle Scholar
  118. Witteman, H. O., Scherer, L. D., Gavaruzzi, T., Pieterse, A., Fuhrel-Forbis, A., Exe, N., et al. (2016). Design features of explicit values clarification methods: A systematic review. Medical Decision Making, 36, 453–471. doi: 10.1177/0272989x15626397 PubMedCrossRefGoogle Scholar
  119. Yamagishi, K. (1997). When a 12.86 % mortality is more dangerous than 24.14 %: Implications for risk communication. Applied Cognitive Psychology, 11, 495–506. doi: 10.1002/(SICI)1099-0720(199712)11:6<495::AID-ACP481>3.0.CO;2-J CrossRefGoogle Scholar
  120. Zhang, A. Y., & Siminoff, L. A. (2003). The role of the family in treatment decision making by patients with cancer. Oncology Nursing Forum, 30, 1022–1028. doi: 10.1188/03.onf.1022-1028 PubMedCrossRefGoogle Scholar
  121. Zhang, A. Y., Zyzanski, S. J., & Siminoff, L. A. (2010). Differential patient–caregiver opinions of treatment and care for advanced lung cancer patients. Social Science and Medicine, 70, 1155–1158. doi: 10.1016/j.socscimed.2009.12.023 PubMedPubMedCentralCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Jada G. Hamilton
    • 1
  • Sarah E. Lillie
    • 2
  • Dana L. Alden
    • 3
  • Laura Scherer
    • 4
  • Megan Oser
    • 5
  • Christine Rini
    • 6
    • 7
  • Miho Tanaka
    • 8
  • John Baleix
    • 9
  • Mikki Brewster
    • 10
  • Simon Craddock Lee
    • 11
  • Mary K. Goldstein
    • 12
    • 13
  • Robert M. Jacobson
    • 14
  • Ronald E. Myers
    • 15
  • Brian J. Zikmund-Fisher
    • 16
    • 17
  • Erika A. Waters
    • 18
  1. 1.Department of Psychiatry and Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkUSA
  2. 2.Center for Chronic Disease Outcomes ResearchMinneapolis VA Health Care SystemMinneapolisUSA
  3. 3.Shidler College of BusinessUniversity of HawaiiHonoluluUSA
  4. 4.Department of Psychological SciencesUniversity of MissouriColumbiaUSA
  5. 5.Department of Psychiatry, Brigham and Women’s HospitalHarvard Medical SchoolBostonUSA
  6. 6.Department of Health BehaviorUniversity of North CarolinaChapel HillUSA
  7. 7.UNC Lineberger Comprehensive Cancer CenterChapel HillUSA
  8. 8.Health Services Research and Development ServiceDepartment of Veterans AffairsWashingtonUSA
  9. 9.Hawaii Medical Service AssociationBCBS of HawaiiHonoluluUSA
  10. 10.St. LouisUSA
  11. 11.Department of Clinical Sciences and Harold C. Simmons Comprehensive Cancer CenterUniversity of Texas Southwestern Medical CenterDallasUSA
  12. 12.Geriatric Research Education and Clinical Center (GRECC)VA Palo Alto Health Care SystemPalo AltoUSA
  13. 13.Department of Medicine, Center for Primary Care and Outcomes ResearchStanford UniversityStanfordUSA
  14. 14.Department of Pediatric and Adolescent MedicineMayo ClinicRochesterUSA
  15. 15.Department of Medical Oncology, Sidney Kimmel Medical CenterThomas Jefferson UniversityPhiladelphiaUSA
  16. 16.Department of Health Behavior and Health EducationUniversity of MichiganAnn ArborUSA
  17. 17.Department of Internal MedicineUniversity of MichiganAnn ArborUSA
  18. 18.Division of Public Health Sciences, Department of SurgeryWashington UniversitySt. LouisUSA

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