Patients' and physicians' beliefs and attitudes towards integrating personalized risk estimates into patient education about left ventricular assist device therapy.

BACKGROUND: Personalized risk (PR) estimates may enhance clinical decision making and risk communication by providing individualized estimates of patient outcomes. We explored stakeholder attitudes toward the utility, acceptability, usefulness and best-practices for integrating PR estimates into patient education and decision making about Left Ventricular Assist Device (LVAD). METHODS AND RESULTS: As part of a 5-year multi-institutional AHRQ project, we conducted 40 interviews with stakeholders (physicians, nurse coordinators, patients, and caregivers), analyzed using Thematic Content Analysis. All stakeholder groups voiced positive views towards integrating PR in decision making. Patients, caregivers and coordinators emphasized that PR can help to better understand a patient's condition and risks, prepare mentally and logistically for likely outcomes, and meaningfully engage in decision making. Physicians felt it can improve their decision making by enhancing insight into outcomes, enhance tailored pre-emptive care, increase confidence in decisions, and reduce bias and subjectivity. All stakeholder groups also raised concerns about accuracy, representativeness and relevance of algorithms; predictive uncertainty; utility in relation to physician's expertise; potential negative reactions among patients; and overreliance. CONCLUSION: Stakeholders are optimistic about integrating PR into clinical decision making, but acceptability depends on prospectively demonstrating accuracy, relevance and evidence that benefits of PR outweigh potential negative impacts on decision making quality.

Deep Brain Stimulation for Pediatric Dystonia: Clinicians' Perspectives on the Most Pressing Ethical Challenges.

INTRODUCTION: Pediatric deep brain stimulation (pDBS) is commonly used to manage treatment-resistant primary dystonias with favorable results and more frequently used for secondary dystonia to improve quality of life. There has been little systematic empirical neuroethics research to identify ethical challenges and potential solutions to ensure responsible use of DBS in pediatric populations. METHODS: Clinicians (n = 29) who care for minors with treatment-resistant dystonia were interviewed for their perspectives on the most pressing ethical issues in pDBS. RESULTS: Using thematic content analysis to explore salient themes, clinicians identified four pressing concerns: (1) uncertainty about risks and benefits of pDBS (22/29; 72%) that poses a challenge to informed decision-making; (2) ethically navigating decision-making roles (15/29; 52%), including how best to integrate perspectives from diverse stakeholders (patient, caregiver, clinician) and how to manage surrogate decisions on behalf of pediatric patients with limited capacity to make autonomous decisions; (3) information scarcity effects on informed consent and decision quality (15/29; 52%) in the context of patient and caregivers' expectations for treatment; and (4) narrow regulatory status and access (7/29; 24%) such as the lack of FDA-approved indications that contribute to decision-making uncertainty and liability and potentially limit access to DBS among patients who may benefit from it. CONCLUSION: These results suggest that clinicians are primarily concerned about ethical limitations of making difficult decisions in the absence of informational, regulatory, and financial supports. We discuss two solutions already underway, including supported decision-making to address uncertainty and further data sharing to enhance clinical knowledge and discovery.

A Call for Behavioral Science in Embedded Bioethics.

Bioethicists today are taking a greater role in the design and implementation of emerging technologies by "embedding" within the development teams and providing their direct guidance and recommendations. Ideally, these collaborations allow ethical considerations to be addressed in an active, iterative, and ongoing process through regular exchanges between ethicists and members of the technological development team. This article discusses a challenge to this embedded ethics approach-namely, that bioethical guidance, even if embraced by the development team in theory, is not easily actionable in situ. Many of the ethical problems at issue in emerging technologies are associated with preexisting structural, socioeconomic, and political factors, making compliance with ethical recommendations sometimes less a matter of choice and more a matter of feasibility. Moreover, incentive structures within these systemic factors maintain them against reform efforts. The authors recommend that embedded bioethicists utilize principles from behavioral science (such as behavioral economics) to better understand and account for these incentive structures so as to encourage the ethically responsible uptake of technological innovations.

Mitigating Racial Bias in Machine Learning.

When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.

A principal components analysis of factors associated with successful implementation of an LVAD decision support tool.

BACKGROUND: A central goal among researchers and policy makers seeking to implement clinical interventions is to identify key facilitators and barriers that contribute to implementation success. Despite calls from a number of scholars, empirical insights into the complex structural and cultural predictors of why decision aids (DAs) become routinely embedded in health care settings remains limited and highly variable across implementation contexts. METHODS: We examined associations between "reach", a widely used indicator (from the RE-AIM model) of implementation success, and multi-level site characteristics of nine LVAD clinics engaged over 18 months in implementation and dissemination of a decision aid for left ventricular assist device (LVAD) treatment. Based on data collected from nurse coordinators, we explored factors at the level of the organization (e.g. patient volume), patient population (e.g. health literacy; average sickness level), clinician characteristics (e.g. attitudes towards decision aid; readiness for change) and process (how the aid was administered). We generated descriptive statistics for each site and calculated zero-order correlations (Pearson's r) between all multi-level site variables including cumulative reach at 12 months and 18 months for all sites. We used principal components analysis (PCA) to examine any latent factors governing relationships between and among all site characteristics, including reach. RESULTS: We observed strongest inclines in reach of our decision aid across the first year, with uptake fluctuating over the second year. Average reach across sites was 63% (s.d. = 19.56) at 12 months and 66% (s.d. = 19.39) at 18 months. Our PCA revealed that site characteristics positively associated with reach on two distinct dimensions, including a first dimension reflecting greater organizational infrastructure and standardization (characteristic of larger, more established clinics) and a second dimension reflecting positive attitudinal orientations, specifically, openness and capacity to give and receive decision support among coordinators and patients. CONCLUSIONS: Successful implementation plans should incorporate specific efforts to promote supportive and mutually informative interactions between clinical staff members and to institute systematic and standardized protocols to enhance the availability, convenience and salience of intervention tool in routine practice. Further research is needed to understand whether "core predictors" of success vary across different intervention types.

Using Nudges to Enhance Clinicians' Implementation of Shared Decision Making With Patient Decision Aids.

Background. Although effective interventions for shared decision making (SDM) exist, there is a lack of uptake of these tools into clinical practice. "Nudges," which draw on behavioral economics and target automatic thinking processes, are used by policy makers to influence population-level behavior change. Nudges have not been applied in the context of SDM interventions but have potential to influence clinician motivation, a primary barrier to long-term adoption of SDM tools. Objective. Describe, evaluate, and propose recommendations for the use of a behavioral economics framework (MINDSPACE) on clinician motivation and behavior during implementation of a validated decision aid (DA) for left ventricular assist device at nine hospitals. Methods. Qualitative thematic analysis of process notes from stakeholder meetings during the first 6 months of implementation to identify examples of how the MINDSPACE framework was operationalized. Quantitative implementation progress was evaluated using the RE-AIM framework. Results. MINDSPACE components were translated into concrete approaches that leveraged influential stakeholders, fostered ownership over the DA and positive emotional associations, spread desirable norms across sites, and situated the DA within established default processes. DA reach to eligible patients increased from 9.8% in the first month of implementation to 70.0% in the sixth month. Larger gains in reach were observed following meetings using MINDSPACE approaches. Limitations. The MINDSPACE framework does not capture all possible influences on behavior and responses to nudges may differ across populations. Conclusions. Behavioral economics can be applied to implementation science to foster uptake of SDM tools by increasing clinician motivation. Our recommendations can help other researchers effectively apply these approaches in real-world settings when there are often limited incentives and opportunities to change organizational- or structural-level factors.

Suffering and Healing in the Context of LVAD Treatment.

BACKGROUND: Illness narratives with meaningful, competent and targeted content have been shown to provide useful guides for patient decision-making and have positive influences on health behaviors. The use of narratives in decision aids can confer a sense of structure, plot and context to illness experiences and help patients make treatment decisions that feel sensible, informed, and transparent. AIM: This paper presents narratives of suffering and healing from patients and their caregivers with advanced heart failure who engaged in decision-making regarding Left Ventricular Device Assist (LVAD) treatment. METHODS: Narratives were collected from in-depth interviews with patients who accepted (n = 15) versus declined (n = 15) LVAD implant, LVAD candidates who had received education about LVAD and were in the process of making a decision (n = 15), and caregivers (family or significant others) of LVAD patients (n = 15). RESULTS: Participants shared "restitution" narratives that most commonly conveyed a shift from pre-implant physical suffering and "daily hell," fatigue so intense it "hurts," along with emotional suffering from inability to engage with the world, to post-implant improvements in mobility and quality of life, including positivity and family support, adaptation on a "journey," "getting one's life back" and becoming "normal" again. CONCLUSION: For LVAD patients, other patients' illness narratives can help to give meaning to their own illness and treatment experiences and to more accurately forecast treatment impacts on lifestyle and identity. For clinicians, patient narratives can enhance patient-practitioner communication and understanding by highlighting perspectives and values that structure patients' clinical experiences.

Identifying Knowledge Gaps among LVAD Candidates.

Education is an important aspect of evaluation and consent for left ventricular assist device (LVAD) candidates. A better understanding of candidate knowledge during the education process can help identify knowledge gaps and improve informed consent processes. This paper presents the results from a validated, LVAD-specific Knowledge Scale administered to candidates before and after education to identify items most and least frequently answered correctly. At baseline and 1-week, both candidates educated with a standard education and an LVAD-specific decision aid were most likely to answer logistical items relating to support and self-care correctly with ≥90% of candidates answering these items correctly after education. Candidates were least likely to answer questions about risks, transplant eligibility, and expenses correctly with <60% of candidates answering them correctly after education. Items with the greatest improvement in correct answers from baseline to 1-week were primarily related to the logistics of living with an LVAD. Candidates educated with the decision aid showed significant improvements on more knowledge items including those related to the forecasting of recovery and complications when compared to candidates educated with a standard education. The 20-item scale provides a standardized way for clinicians to identify knowledge gaps with LVAD candidates, potentially helping to tailor education. Targeted improvements in LVAD education should focus on the understanding of risk and potential complications to ensure that decision-making and informed consent processes emphasize both the patient and clinicians' conceptualizations of knowledge needs for informed consent.

In Defense of "Denial": Difficulty Knowing When Beliefs Are Unrealistic and Whether Unrealistic Beliefs Are Bad.

Bioethicists often draw sharp distinctions between hope and states like denial, self-deception, and unrealistic optimism. But what, exactly, is the difference between hope and its more suspect cousins? One common way of drawing the distinction focuses on accuracy of belief about the desired outcome: Hope, though perhaps sometimes misplaced, does not involve inaccuracy in the way that these other states do. Because inaccurate beliefs are thought to compromise informed decision making, bioethicists have considered these states to be ones where intervention is needed either to correct the person's mental state or to persuade the person to behave differently, or even to deny the person certain options (e.g., another round of chemotherapy). In this article, we argue that it is difficult to determine whether a patient is really in denial, self-deceived, or unrealistically optimistic. Moreover, even when we are confident that beliefs are unrealistic, they are not always as harmful as critics contend. As a result, we need to be more permissive in our approach to patients who we believe are unrealistically optimistic, in denial, or self-deceived-that is, unless patients significantly misunderstand their situation and thus make decisions that are clearly bad for them (especially in light of their own values and goals), we should not intervene by trying to change their mental states or persuade them to behave differently, or by paternalistically denying them certain options (e.g., a risky procedure).

A Multisite Randomized Controlled Trial of a Patient-Centered Ventricular Assist Device Decision Aid (VADDA Trial).

BACKGROUND: Studies indicate that decision making and informed consent among patients considering left ventricular assist device (LVAD) support for advanced heart failure could be improved. In the VADDA (Ventricular Assist Device Decision Aid) trial, we tested a patient-centered decision aid (DA) to enhance the quality of decision making about LVAD therapy. METHODS: After an extensive user-centered design process, we conducted a multisite randomized trial of the DA compared with standard education (SE) among inpatients considering LVAD treatment for advanced heart failure The main outcome was LVAD knowledge at 1 week and 1 month after administration of the DA versus the SE, according to a validated scale. Secondary measures included prespecified quality decision making measures recommended by the International Patient Decision Aid Standards collaboration. RESULTS: Of 105 eligible patients, 98 consented and were randomly assigned to the DA and SE arms. Patients receiving the VADDA exhibited significantly greater LVAD knowledge than the SE group at 1 week of follow-up (P = .01) but not at 1 month (P = .47). No differences were found between DA and SE patients in rates of acceptance versus decline of LVAD treatment (85% vs 78%; P = .74). Recipients in the DA arm reported greater satisfaction with life after implantation compared with nonrecipients (28 vs 23 out of 30; P = .008), although both arms reported high satisfaction. Patients rated the DA high in acceptability and usability. CONCLUSIONS: The VADDA enhances LVAD knowledge, particularly in the short term (1 week) during the peak period of decision making. The DA does not encourage decision direction and reflects patient, caregiver, and physician preferences for content and format. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT02248974. The trial is registered with clinicaltrials.gov (NCT02248974).

'That's the doctor's job': Overcoming patient reluctance to be involved in medical decision making.

OBJECTIVE: To review the barriers to patient engagement and techniques to increase patients' engagement in their medical decision-making and care. DISCUSSION: Barriers exist to patient involvement in their decision-making and care. Individual barriers include education, language, and culture/attitudes (e.g., deference to physicians). Contextual barriers include time (lack of) and timing (e.g., lag between test results being available and patient encounter). Clinicians should gauge patients' interest in being involved and their level of current knowledge about their condition and options. Framing information in multiple ways and modalities can enhance understanding, which can empower patients to become more engaged. Tools such as decision aids or audio recording of conversations can help patients remember important information, a requirement for meaningful engagement. Clinicians and researchers should work to create social norms and prompts around patients asking questions and expressing their values. Telehealth and electronic platforms are promising modalities for allowing patients to ask questions on in a non-intimidating atmosphere. CONCLUSION: Researchers and clinicians should be motivated to find ways to engage patients on the ethical imperative that many patients prefer to be more engaged in some way, shape, or form; patients have better experiences when they are engaged, and engagement improves health outcomes.