In the United States, the National Institute of Mental Health is seeking to encourage researchers to move away from diagnostic tools like the Diagnostic and Statistical Manual of Mental Disorders. A key mechanism for this is the “Research Domain Criteria” initiative, closely associated with former NIMH Director Thomas Insel. This article examines how key figures in US psychiatry construct the purpose, nature, and implications of the ambiguous RDoC project; that is, how its novelty is constituted through discourse. In this paper, (...) I explore and analyze these actors’ accounts of what is new, important, or desirable about RDoC, demonstrating how they are constituted through institutional context and personal affects. In my interviews with mental health opinion leaders, RDoC is presented as overly reliant on neurobiological epistemologies, distant from clinical imaginaries and imperatives, and introduced in a top-down manner inconsistent with the professional norms of scientific research. Ultimately, the article aims to add empirical depth to current understandings about the epistemological and ontological politics of contemporary psychiatry and to contribute to science and technology studies debates about “the new” in technoscience. Accordingly, I use discussions about RDoC as a case study in the sociology of novelty. (shrink)

Deep brain stimulation (DBS) is an effective treatment for the debilitating motor symptoms of Parkinson’s disease and other neurological disorders. However, clinicians and commentators have noted that DBS recipients have not necessarily experienced the improvements in quality of life that would be expected, due in large part to what have been described as the ‘psychosocial’ impacts of DBS. The premise of this paper is that, in order to realise the full potential of DBS and similar interventions, clinical services need to (...) be arranged in such a way that these psychosocial dimensions are recognised and managed. Our starting point is that the psychosocial effects of DBS ‘in the field’ present us with analytically-useful disruptions: they disturb and foreground deeply held assumptions relating to the individual, health and its treatment, and which in a crude form manifest as the myth of technological solutionism within health care. Drawing on scholarship in medical sociology and science and technology studies (STS), we argue that DBS brings to the fore the relational dimensions of personhood, and demonstrates the emotional and social turmoil that can result if the relational dimensions of personhood are ignored by clinical services. In light of this, we argue that DBS should be implemented within a regime of care. Drawing on ethnographic research of a paediatric DBS clinical service, we provide an example of a regime of care, and conclude by reflecting on what other DBS services might learn from this paediatric service. (shrink)

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)

AI and robotic technologies attract much hype, including utopian and dystopian future visions of technologically driven provision in the health and care sectors. Based on 30 interviews with scientists, clinicians and other stakeholders in the UK, Europe, USA, Australia, and New Zealand, this paper interrogates how those engaged in developing and using AI and robotic applications in health and care characterize their future promise, potential and challenges. We explore the ways in which these professionals articulate and navigate a range of (...) high and low expectations, and promissory and cautionary future visions, around AI and robotic technologies. We argue that, through these articulations and navigations, they construct their own perceptions of socially and ethically ‘acceptable futures’ framed by an ‘ethics of expectations.’ This imbues the envisioned futures with a normative character, articulated in relation to the present context. We build on existing work in the sociology of expectations, aiming to contribute towards better understanding of how technoscientific expectations are navigated and managed by professionals. This is particularly timely since the COVID-19 pandemic gave further momentum to these technologies. (shrink)