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The literature on deep brain stimulation (DBS) and adaptive DBS (aDBS) raises concerns that these technologies may affect personality, mood, and behavior. We conducted semi-structured interviews with researchers (n = 23) involved in developing next-generation DBS systems, exploring their perspectives on ethics and policy topics including whether DBS/aDBS can cause such changes. The majority of researchers reported being aware of personality, mood, or behavioral (PMB) changes in recipients of DBS/aDBS. Researchers offered varying estimates of the frequency of PMB changes. A (...) smaller majority reported changes in personality specifically. Some expressed reservations about the scientific status of the term ‘personality,’ while others used it freely. Most researchers discussed negative PMB changes, but a majority said that DBS/aDBS can also result in positive changes. Several researchers viewed positive PMB changes as part of the therapeutic goal in psychiatric applications of DBS/aDBS. Finally, several discussed potential causes of PMB changes other than the device itself. (shrink)

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ChatGPT has taken the academic community by storm (Cotton, Cotton, and Shipway 2023; Cox and Tzoc 2023; Sullivan, Kelly, and McLaughlan 2023). Since its release in November 2022, chatGPT has predic...

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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.

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Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool’s computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust (...) criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings. As part of a 5-year, multi-institutional Agency for Health Care Research and Quality-funded study, we identify trust criteria for a survival prediction algorithm intended to support clinical decision-making for left ventricular assist device therapy, using semistructured interviews (n=40) with patients and physicians, analysed via thematic analysis. Findings suggest that physicians and patients share similar empirical considerations for trust, which were primarilyepistemicin nature, focused on accuracy and validity of AI/ML estimates. Trust evaluations considered the nature, integrity and relevance of training data rather than the computational nature of algorithms themselves, suggesting a need to distinguish ‘source’ from ‘functional’ explainability. To a lesser extent, trust criteria were also relational (endorsement from others) and sometimes based on personal beliefs and experience. We discuss implications for promoting appropriate and responsible trust calibration for clinical decision-making use AI/ML. (shrink)

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The application of machine learning in health care holds great promise for improving care. Indeed, our own team is collaborating with experts in machine learning and statistical modeling to bu...

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Frameworks for responsible data stewardship, such as that proposed by McCoy et al. (2023), are intended to encourage and provide guidelines for data processors to engage in responsible data process...

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Background Deep brain stimulation is approved for treating refractory obsessive-compulsive disorder in adults under the US Food and Drug Administration Humanitarian Device Exemption, and studies have shown its efficacy in reducing symptom severity and improving quality of life. While similar deep brain stimulation treatment is available for pediatric patients with dystonia, it is not yet available for pediatric patients with obsessive-compulsive disorder, although soon could be. The prospect of growing indications for pediatric deep brain stimulation raises several ethical concerns relating (...) to bodily integrity, the ability to offer informed assent, and the role pediatric patients play in the decision-making process. Objective The aim of this study is to solicit and assess the views of stakeholders (children, parents, clinicians) on pediatric assent, autonomy, and bodily integrity in the context of potential pediatric deep brain stimulation for obsessive-compulsive disorder. Methods Semi-structured interviews were conducted with pediatric obsessive-compulsive disorder patients ( n = 21), caregivers of pediatric obsessive-compulsive disorder patients aged 14–18 ( n = 19), and clinicians with experience treating refractory obsessive-compulsive disorder ( n = 25). Interviews were transcribed and coded in MAXQDA 2018 and 2020 software and processed for thematic content analysis to isolate and compare specific themes. Results A majority of respondents (74%, 48/65) across all three stakeholder groups voiced that the decision-making process should be collaborative and involve everyone (clinicians: 84% or 21/25, caregivers 71% or 15/21, and patients 63% or 12/19). We identified a split between respondents’ views on who should have the final say in the event of disagreement (38% or 25/65 favored the patient versus 35% or 23/65 favoring caregivers). A split between respondents also emerged concerning the maturity relevant for deep brain stimulation decision-making, with 45% (29/65) favoring developmental maturity (age/physiological development) and 45% (29/65) favoring decisional maturity (capacity to understand and weigh information). A majority of clinicians indicated that they would not move forward with deep brain stimulation without securing patient assent (80% or 20/25), with some stating the only exception is if patient quality of life was very poor and/or they lacked insight. Both caregivers and patients expressed a significant respect for the patient's right to bodily integrity, with 67% of caregivers (14/21) and 68% of patients (13/19) justifying patient involvement in decision-making specifically with reference to infringements of bodily integrity. Conclusion Our findings demonstrate that despite broad agreement across stakeholders that the decision-making process for pediatric deep brain stimulation for obsessive-compulsive disorder should be collaborative and somehow involve pediatric patients, there is disagreement about what this process entails and what factors determine patient involvement in the process. However, there is agreement that children have a right to bodily and brain integrity, which should only be infringed upon in rare circumstances. (shrink)

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Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

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In their article “Implementing Expanded Prenatal Genetic Testing: Should Parents Have Access to Any and All Fetal Genetic Information?” Bayefsky and Berkman briefly mention that: “[s]ome are...

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The ongoing debate within neuroethics concerning the degree to which neuromodulation such as deep brain stimulation (DBS) changes the personality, identity, and agency (PIA) of patients has paid relatively little attention to the perspectives of prospective patients. Even less attention has been given to pediatric populations. To understand patients’ views about identity changes due to DBS in obsessive-compulsive disorder (OCD), the authors conducted and analyzed semistructured interviews with adolescent patients with OCD and their parents/caregivers. Patients were asked about projected impacts (...) to PIA generally due to DBS. All patient respondents and half of caregivers reported that DBS would impact patient self-identity in significant ways. For example, many patients expressed how DBS could positively impact identity by allowing them to explore their identities free from OCD. Others voiced concerns that DBS-related resolution of OCD might negatively impact patient agency and authenticity. Half of patients expressed that DBS may positively facilitate social access through relieving symptoms, while half indicated that DBS could increase social stigma. These views give insights into how to approach decision-making and informed consent if DBS for OCD becomes available for adolescents. They also offer insights into adolescent experiences of disability identity and “normalcy” in the context of OCD. (shrink)

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Introduction Deep brain stimulation (DBS) is approved under a humanitarian device exemption to manage treatment-resistant obsessive-compulsive disorder (TR-OCD) in adults. It is possible that DBS may be trialed or used clinically off-label in children and adolescents with TR-OCD in the future. DBS is already used to manage treatment-resistant childhood dystonia. Evidence suggests it is a safe and effective intervention for certain types of dystonia. Important questions remain unanswered about the use of DBS in children and adolescents with TR-OCD, including whether (...) mental health clinicians would refer pediatric patients for DBS, and who would be a good candidate for DBS.Objectives To explore mental health clinicians’ views on what clinical and psychosocial factors they would consider when determining which children with OCD would be good DBS candidates.Materials and Methods In depth, semi-structured interviews were conducted with n = 25 mental health clinicians who treat pediatric patients with OCD. The interviews were transcribed, coded, and analyzed using thematic content analysis. Three questions focused on key, clinical, and psychosocial factors for assessing candidacy were analyzed to explore respondent views on candidacy factors. Our analysis details nine overarching themes expressed by clinicians, namely the patient’s previous OCD treatment, OCD severity, motivation to commit to treatment, presence of comorbid conditions, family environment, education on DBS, quality of life, accessibility to treatment, and patient age and maturity.Conclusions Clinicians generally saw considering DBS treatment in youth as a last resort and only for very specific cases. DBS referral was predominantly viewed as acceptable for children with severe TR-OCD who have undertaken intensive, appropriate treatment without success, whose OCD has significantly reduced their quality of life, and who exhibit strong motivation to continue treatment given the right environment. Appropriate safeguards, eligibility criteria, and procedures should be discussed and identified before DBS for childhood TR-OCD becomes practice. (shrink)

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Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal (...) the right to notice and explanation serves, and the moral importance of patient-level disclosure. We propose three normative functions of this right: (1) to notify patients about their care, (2) to educate patients and promote trust, and (3) to meet standards for informed consent. Additional clarity is needed to guide practices that respect the right to notice and explanation of AI in healthcare while providing meaningful benefits to patients. (shrink)

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Researchers and practitioners are increasingly using machine-generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

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While the intellectual challenge of digital phenotyping (DP) has evolved from data collection to more complex data analysis (Onnela 2021), core ethical considerations remain centered on patient pri...

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IntroductionDeep brain stimulation (DBS) is utilized to treat pediatric refractory dystonia and its use in pediatric patients is expected to grow. One important question concerns the impact of hope and unrealistic optimism on decision-making, especially in “last resort” intervention scenarios such as DBS for refractory conditions.ObjectiveThis study examined stakeholder experiences and perspectives on hope and unrealistic optimism in the context of decision-making about DBS for childhood dystonia and provides insights for clinicians seeking to implement effective communication strategies.Materials and MethodsSemi-structured interviews (...) with clinicians (n = 29) and caregivers (n = 44) were conducted, transcribed, and coded.ResultsUsing thematic content analysis, four major themes from clinician interviews and five major themes from caregiver interviews related to hopes and expectations were identified. Clinicians expressed concerns about caregiver false hopes (86%, 25/29) and desperation (68.9%, 20/29) in light of DBS being a last resort. As a result, 68.9% of clinicians (20/29) expressed that they intentionally tried to lower caregiver expectations about DBS outcomes. Clinicians also expressed concern that, on the flip side, unrealistic pessimism drives away some patients who might otherwise benefit from DBS (34.5%, 10/29). Caregivers viewed DBS as the last option that they had to try (61.3%, 27/44), and 73% of caregivers (32/44) viewed themselves as having high hopes but reasonable expectations. Fewer than half (43%, 19/44) expressed that they struggled setting outcome expectations due to the uncertainty of DBS, and 50% of post-DBS caregivers (14/28) expressed some negative feelings post treatment due to unmet expectations. 43% of caregivers (19/44) had experiences with clinicians who tried to set low expectations about the potential benefits of DBS.ConclusionThoughtful clinician-stakeholder discussion is needed to ensure realistic outcome expectations. (shrink)

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In their article, Cho and Martinez-Martin (2023) argue that developers and users of digital simulacra for modelling health and disease should involve a continued focus on causality of health states...

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ABSTRACT: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. (shrink)

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The capacity of next-generation closed-loop or adaptive deep brain stimulation devices to read and write shows great potential to effectively manage movement, seizure, and psychiatric disorders, and also raises the possibility of using aDBS to electively modulate mood, cognition, and prosociality. What separates aDBS from most neurotechnologies currently used for enhancement is that aDBS remains an invasive, surgically-implanted technology with a risk-benefit ratio significantly different when applied to diseased versus non-diseased individuals. Despite a large discourse about the ethics of enhancement, (...) no empirical studies yet examine perspectives on enhancement from within the aDBS research community. We interviewed 23 aDBS researchers about their attitudes toward expanding aDBS use for enhancement. A thematic content analysis revealed that researchers share ethical concerns related to safety and security; enhancement as unnecessary, unnatural or aberrant; and fairness, equality, and distributive justice. Most researchers felt that enhancement applications for DBS will eventually be technically feasible and that attempts to develop such applications for DBS are already happening. However, researchers unanimously felt that DBS ideally should not be considered for enhancement until researchers better understand brain target localization and functioning. While many researchers acknowledged controversies highlighted by scholars and ethicists, such as potential impacts on personhood, authenticity, autonomy and privacy, their ethical concerns reflect considerations of both gravity and perceived near-term likelihood. (shrink)

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