This paper advances ethical discussion in the field in two ways: firstly, through in-depth consideration of the distinctive implications of the clinical application of predictive tools and, secondly, by evaluating the manner in which newer predictive models incorporating neuroimaging alter the ethical landscape. These potential gains are compelling however they must be evaluated in light of the broader ethical ramifications of this prospective development in clinical practice. In time, it may be possible to intervene to avert transition to psychosis, however, at present the evidence base for preventative interventions remains inconclusive ( S Tognin et al., 2019). In addition, knowledge of risk status can enable individuals to minimize modifiable risk factors, better understand subthreshold psychotic experiences, access self-education and peer support, and make future plans in case of illness onset. Using such models to predict the likelihood of transition to psychosis in individuals known to be at high risk has the potential to meaningfully improve outcomes, principally through facilitating early intervention ( Correll et al., 2018). Neuroimaging biomarkers play a central role in many risk prediction models. Risk prediction for psychosis has advanced to the stage at which it could feasibly become a clinical reality. This collaborative approach will help ensure that predictive testing progresses in an ethically acceptable manner that minimizes potential adverse effects and maximizes meaningful benefits for those at high risk of psychosis. We conclude with a call for scientific advancement to proceed in tandem with ethical consideration, informed by empirical study of the views of high risk individuals and their families. We then proceed to ethical analysis employing the four principles of biomedical ethics as a conceptual framework. We outline the current state of the science of predictive testing for psychosis, with a particular focus on emerging neuroimaging biomarkers. ![]() ![]() However, this compelling benefit must be evaluated in light of the broader ethical ramifications of this prospective development in clinical practice. Using such models to predict the likelihood of transition to psychosis in individuals known to be at high risk has the potential to meaningfully improve outcomes, principally through facilitating early intervention.
0 Comments
Leave a Reply. |