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Aiding end-of-life medical decision-making: A Cardinal Issue Perspective

Published online by Cambridge University Press:  28 November 2019

Haoyang Yan*
Affiliation:
Department of Psychology, University of Michigan, Ann Arbor, MI
Stephanie K. Kukora
Affiliation:
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI
Cynthia Arslanian-Engoren
Affiliation:
Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI
Patricia J. Deldin
Affiliation:
Department of Psychology, University of Michigan, Ann Arbor, MI Department of Psychiatry, University of Michigan, Ann Arbor, MI
Kenneth Pituch
Affiliation:
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI
J. Frank Yates
Affiliation:
Department of Psychology, University of Michigan, Ann Arbor, MI
*
Author for correspondence: Haoyang Yan, Department of Psychology, University of Michigan, 3071 East Hall, 530 Church Street, Ann Arbor, MI48109. E-mail: haoyangy@umich.edu
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Abstract

Type
Editorial
Copyright
Copyright © Cambridge University Press 2019

Many challenges exist in bridging communication gaps between clinicians and patients in end-of-life decision-making in which there is a continuum of treatment possibilities (Breen et al., Reference Breen, Abernethy and Abbott2001; Pochard et al., Reference Pochard, Darmon and Fassier2005; White et al., Reference White, Braddock and Bereknyei2007). The shared decision-making approach has demonstrated the potential for improving decisions to achieve better quality of care (Teno et al., Reference Teno, Clarridge and Casey2004; Thompson et al., Reference Thompson, Cox and Antonelli2004; Dowling and Wang, Reference Dowling and Wang2005; Makoul and Clayman, Reference Makoul and Clayman2006). However, sharing of end-of-life decisions in practice happens infrequently due to factors such as time constraints, inadequate communication, clinical situations (e.g., sensitive topics, including end-of-life discussions), and patient characteristics (e.g., older age and poor health condition; White et al., Reference White, Braddock and Bereknyei2007; Joseph-Williams et al., Reference Joseph-Williams, Elwyn and Edwards2014). Additionally, debate regarding exactly what shared decision-making entails and how it can and should be adopted into practice has likely also hindered its acceptance by medical providers (Makoul and Clayman, Reference Makoul and Clayman2006). We propose a new approach — using the Cardinal Issue Perspective on decision-making as a checklist for routinely performing shared decision-making in end-of-life situations. The Cardinal Issue Perspective has the potential to streamline and address important decision-making considerations that may not be fully attended to in current clinical shared decision-making models and practice.

The Cardinal Issue Perspective (Yates, Reference Yates2003), based on the existing extensive literature in decision science, is a comprehensive and well-recognized framework for managing decision processes and ensuring quality. Its utility has been demonstrated in a variety of practical settings, including understanding the decision-making of elderly people in value-laden healthcare decisions (Bynum et al., Reference Bynum, Barre and Reed2014). It theorizes that a decision process must address all 10 cardinal issues in some way, e.g., by deliberation, habit, or social norm. The more adequate the resolutions are, the more likely it is that the decision at hand will be successful. A lack of awareness or poor understanding of all 10 cardinal issues by decision makers, however, may result in problematic resolutions. For instance, a patient or a surrogate decision maker who is unaware of palliative medicine options and long-term implications of life-sustaining treatments may later find that the decision is in conflict with personal values and the outcomes not as expected (Teno et al., Reference Teno, Fisher and Hamel2000; Nelson et al., Reference Nelson, Kinjo and Meier2005). Therefore, we suggest using the 10 cardinal issues checklist (Yates, Reference Yates2003) for clinicians, patients, and surrogate decision makers to scrutinize decision-making at each phase to smooth the communication process and maximize the chance of making an effective decision (Table 1 for an end-of-life decision example). Current models (e.g., Makoul and Clayman, Reference Makoul and Clayman2006) may not fully address all of the cardinal issues, suggesting opportunities to improve shared decision-making.

Table 1. Cardinal issues checklist: illustrative end-of-life shared decision-making

a Adapted from content in Yates (Reference Yates2003).

The first three cardinal issues are devoted to setting the stage for decision-making efforts. Need emphasizes bringing up the decision problem at the right time and discussing the urgency of the decision, giving clinicians, patients, and surrogate decision makers opportunities to discuss the benefits and risks of watchful waiting vs. actively making a decision, e.g., continuing current treatments and withdrawing life support. In addition to determining decision makers and their preferred level of involvement, Mode encourages not only providing resources to support decision-making (e.g., consultants, decision guide worksheets, and websites) but also discussing the content together to help patients and surrogate decision makers understand issues pertinent to decision-making. Investment refers to kinds and amounts of resources stakeholders contribute in the decision-making process itself. It is not often discussed in shared decision-making models. Quantifying the resources, such as material (time and money) and emotional efforts (stress and pressure), that decision makers can afford to invest in making a decision, will help them manage the decision process and balance other aspects of life. Excessive devotion of resources may result in decision-making burnout and potentially undermine decision makers' well-being.

The next five cardinal issues are regularly reflected in shared decision-making models (Makoul and Clayman, Reference Makoul and Clayman2006). In current practice, Options (reasonable options), Possibilities (potential outcomes of each option), and Judgment (probabilities that the outcomes might occur) are emphasized, whereas Value (likes and dislikes about the outcomes) and Tradeoffs (weighing benefits and risks) are not yet implemented well. When discussing the benefits and risks of end-of-life care options, we suggest that the information should not only include what clinicians consider important based on medical evidence but also what patients and surrogate decision makers view as pertinent to address the things they care about the most. For example, a clinician may focus on technical pros and cons of a treatment and immediate outcomes, but fail to discuss long-term implications for the patient and family, leading to potentially unanticipated financial and emotional issues in the future (Nelson et al., Reference Nelson, Mercado and Camhi2007; McCormick et al., Reference McCormick, Ward and Roberson2015). Clinicians often find it hard to discuss Value, even though patients and families find discussing values and spiritual beliefs important for end-of-life care quality (Steinhauser et al., Reference Steinhauser, Christakis and Clipp2000). To further understand what best serves patients, we note the importance of using value clarification methods to explore patients' and surrogate decision makers' values that may directly influence the decision (e.g., religious beliefs) and forecasting feelings regarding potential outcomes accurately to reduce post-decisional regret. In addition, clinicians and decision makers may sometimes think that an understanding of information and values will automatically lead to a decision, so it is important to provide specific guidance to resolve Tradeoffs among options — how the pros and cons of each option should be weighed against each other in order to make a decision. Value clarification methods, including using compensatory and noncompensatory strategies, could facilitate Tradeoffs discussions and resolution. Compensatory strategies allow pros to compensate for cons, e.g., multiattribute utility theory. Noncompensatory strategies exclude any option with an unacceptable downside even if it yields tremendous benefits, which further suggests a need for understanding patients' and surrogate decision makers' ranking of relevant values, sacred values in particular, for the decision problem (Yates, Reference Yates2003; Fagerlin et al., Reference Fagerlin, Pignone and Abhyankar2013).

Two issues concern the making of the final decision. Acceptability not only involves a mutual agreement between clinicians, patients, and surrogate decision makers but also deals with potential objections from other participants in the decision event. Implementation addresses the practical ways to carry out and sustain the treatment or post-procedure care, which is not often the focus in shared decision-making (Makoul and Clayman, Reference Makoul and Clayman2006). We recommend reviewing the 10 cardinal issues again after a tentative decision has been made, particularly if there are problems dealing with Acceptability and Implementation.

The goal of shared decision-making and the use of decision aids are to achieve high-quality decisions. However, what “high-quality” means and how to appraise or measure decision quality is somewhat obscure. A high-quality decision has been proposed to be one that is “informed, consistent with personal values, and acted upon” (O'Connor, Reference O'Connor1995). In end-of-life medical decisions, there are numerous abstract and complex contributors to decision quality, necessitating a more comprehensive definition to evaluate decision-making in these contexts.

We suggest decision quality entails evaluation of both decision outcome and process. Decision outcome criteria include four dimensions: aims, needs, aggregated outcomes, and rival options. An effective shared decision should ideally meet the goals of clinicians, patients, and surrogate decision makers, satisfy the needs of the intended beneficiaries (patients), yield outcomes (for patients) that are at least as satisfying as those yielded by other alternatives, and result in minimal decisional conflict and regret. Decision process criteria include five dimensions: time, money, disagreements among decision makers, emotional burden, and knowledge. An effective decision should consume manageable material and emotional costs and inform decision makers about the current decision to be made, while preparing them for the future. We note that efforts to reduce process costs should not jeopardize decision outcomes, as the decision makers may likely modify their decisions, which inevitably increases process costs (Yates, Reference Yates2003).

A strength of our decision quality definition is that it emphasizes personal considerations and values (e.g., the aims, goals, regret, emotions, and perceived importance of various costs), along with objective measures (e.g., aggregated outcomes and material costs), as an effective decision should satisfy the interests and values of intended beneficiaries (Yates, Reference Yates2003). Many shared decision-making interactions focus on explaining benefits and risks without fully incorporating patients' and family's values (Fried, Reference Fried2016). We believe that values are not only preferences or beliefs about different options but also guiding principles that will influence the ultimate decision and its quality. The 10 cardinal issues together contribute to every determinant of decision quality and may hold the potential to promote better quality decision-making than current models, although more research is warranted to demonstrate its utility in actual shared decision-making settings. When implementing shared decision-making for end-of-life decisions, clinicians can discuss important questions and provide resources as suggested by the 10 cardinal issues checklist.

References

Breen, CM, Abernethy, AP, Abbott, KH, et al. (2001) Conflict associated with decisions to limit life-sustaining treatment in intensive care units. Journal of General Internal Medicine 16(5), 283289.CrossRefGoogle ScholarPubMed
Bynum, JPW, Barre, L, Reed, C, et al. (2014) Participation of very old adults in health care decisions. Medical Decision Making 34(2), 216230.CrossRefGoogle ScholarPubMed
Dowling, J and Wang, B (2005) Impact on family satisfaction: The Critical Care Family Assistance Program. Chest 128(3 Suppl), 76S80S.CrossRefGoogle ScholarPubMed
Fagerlin, A, Pignone, M, Abhyankar, P, et al. (2013) Clarifying values: An updated review. BMC Medical Informatics and Decision Making 13(Suppl 2), S8.CrossRefGoogle Scholar
Fried, TR (2016) Shared decision making — finding the sweet spot. New England Journal of Medicine 374(2), 104106.CrossRefGoogle ScholarPubMed
Joseph-Williams, N, Elwyn, G and 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(3), 291309.CrossRefGoogle Scholar
Makoul, G and Clayman, ML (2006) An integrative model of shared decision making in medical encounters. Patient Education and Counseling 60(3), 301312.CrossRefGoogle ScholarPubMed
McCormick, ME, Ward, E, Roberson, DW, et al. (2015) Life after tracheostomy: Patient and family perspectives on teaching, transitions, and multidisciplinary teams. Otolaryngology–Head and Neck Surgery 153(6), 914920.CrossRefGoogle ScholarPubMed
Nelson, JE, Kinjo, K, Meier, DE, et al. (2005) When critical illness becomes chronic: Informational needs of patients and families. Journal of Critical Care 20(1), 7989.CrossRefGoogle ScholarPubMed
Nelson, JE, Mercado, AF, Camhi, SL, et al. (2007) Communication about chronic critical illness. Archives of Internal Medicine 167(22), 25092515.CrossRefGoogle ScholarPubMed
O'Connor, AM (1995) Validation of a decisional conflict scale. Medical Decision Making 15(1), 2530.CrossRefGoogle ScholarPubMed
Pochard, F, Darmon, M, Fassier, T, et al. (2005) Symptoms of anxiety and depression in family members of intensive care unit patients before discharge or death. A prospective multicenter study. Journal of Critical Care 20(1), 9096.CrossRefGoogle ScholarPubMed
Steinhauser, KE, Christakis, NA, Clipp, EC, et al. (2000) Factors considered important at the end of life by patients, family, physicians, and other care providers. JAMA 284(19), 24762482.CrossRefGoogle ScholarPubMed
Teno, JM, Clarridge, BR, Casey, V, et al. (2004) Family perspectives on end-of-life care at the last place of care. JAMA 291(1), 8893.CrossRefGoogle ScholarPubMed
Teno, JM, Fisher, E, Hamel, MB, et al. (2000) Decision-making and outcomes of prolonged ICU stays in seriously ill patients. Journal of the American Geriatrics Society 48(S1), S70S74.CrossRefGoogle ScholarPubMed
Thompson, BT, Cox, PN, Antonelli, M, et al. (2004) Challenges in end-of-life care in the ICU: Statement of the 5th International Consensus Conference in Critical Care: Brussels, Belgium, April 2003: Executive Summary. Critical Care Medicine 32(8), 17811784.CrossRefGoogle ScholarPubMed
White, DB, Braddock, CH, Bereknyei, S, et al. (2007) Toward shared decision making at the end of life in intensive care units: Opportunities for improvement. Archives of Internal Medicine 167(5), 461467.CrossRefGoogle ScholarPubMed
Yates, JF (2003) Decision management: How to assure better decisions in your company, Vol. 29, San Francisco, CA: Jossey-Bass.Google Scholar
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Table 1. Cardinal issues checklist: illustrative end-of-life shared decision-making