The standard approach to treatment decision making for incapacitated patients often fails to provide treatment consistent with the patient’s preferences and values and places significant stress on surrogate decision makers. These shortcomings provide compelling reason to search for methods to improve current practice. Shared decision making between surrogates and clinicians has important advantages, but it does not provide a way to determine patients’ treatment preferences. Hence, shared decision making leaves families with the stressful challenge of identifying the patient’s preferred treatment (...) option. To address this concern, the present paper proposes to incorporate the use of a “Patient Preference Predictor” (PPP) into the shared decision-making process between surrogates and clinicians. A PPP would predict which treatment option a given incapacitated patient would most likely prefer, based on the individual’s characteristics and information on what treatment preferences are correlated with these characteristics. Use of a PPP is likely to increase the chances that incapacitated patients are treated consistent with their preferences and values and might reduce the stress and burden on their surrogates. Including a PPP in the shared decision-making process therefore has the potential to realize important ethical goals for making treatment decisions for incapacitated patients. The present paper justifies this approach on conceptual and normative grounds. (shrink)

According to bioethics orthodoxy, the question, “What would the patient choose?” is a question about the patient's autonomy. is at stake. In fact, what underpins the moral force of that question is a value different from either autonomy or best interests. This is the value of doing things in a way that is authentic to the person.

Over the course of its first seven editions, Principles of Biomedical Ethics has proved to be, globally, the most widely used, authored work in biomedical ethics. It is unique in being a book in bioethics used in numerous disciplines for purposes of instruction in bioethics. Its framework of moral principles is authoritative for many professional associations and biomedical institutions-for instruction in both clinical ethics and research ethics. It has been widely used in several disciplines for purposes of teaching in the (...) classroom, during conferences, etc. (shrink)

A significant proportion of elderly and psychiatric patients do not have the capacity to make health care decisions. We suggest that machine learning technologies could be harnessed to integrate data mined from electronic health records (EHRs) and social media in order to estimate the confidence of the prediction that a patient would consent to a given treatment. We call this process, which takes data about patients as input and derives a confidence estimate for a particular patient’s predicted health care-related decision (...) as an output, the autonomy algorithm. We suggest that the proposed algorithm would result in more accurate predictions than existing methods, which are resource intensive and consider only small patient cohorts. This algorithm could become a valuable tool in medical decision-making processes, augmenting the capacity of all people to make health care decisions in difficult situations. (shrink)

Book reviewed in this article: Principles of Biomedical Ethics. By Tom L. Beauchamp and James F. Childress.

According to bioethics orthodoxy, the question, “What would the patient choose?” is a question about the patient's autonomy. is at stake. In fact, what underpins the moral force of that question is a value different from either autonomy or best interests. This is the value of doing things in a way that is authentic to the person.

The computer revolution has had an enormous effect on all aspects of the practice of medicine, yet little thought has been given to the role of social media in identifying treatment choices for incompetent patients. We are currently living in the ?Internet age? and many people have integrated social media into all aspects of their lives. As use becomes more prevalent, and as users age, social media are more likely to be viewed as a source of information regarding medical care (...) preferences. This article explores the ethical and legal issues raised by the use of social media in surrogate decision making. (shrink)

The accuracy of proxies when they interpret advance directives or apply substituted decision-making criteria has been called into question. It therefore became important to know if the Andalusian Advance Directive Form (AADF) can help to increase the accuracy of proxies' predictions. The aim of this research was to compare the effect of the AADF on the accuracy of proxies' predictions about patients' preferences with that gained from informative and deliberative sessions about end-of-life decision making. A total of 171 pairs of (...) patients and their proxies were randomized to three groups. The control group's answers to the Life Sustaining Preferences Questionnaire (LSPQ) were compared with their proxies' answers to the same questionnaire. In one intervention group, the patients had already completed the AADF and given it to their proxies, who used it to guide their own answers to the LSPQ. In the second intervention (discussion) group, both patients and proxies attended two educative sessions guided by trained nurses and later filled in the LSPQ. Comparisons of accuracy and other variables showed a strong association with the discussion group. The findings show that promoting communication between patients and their proxies improves the accuracy of proxies' predictions much more than isolated use of the AADF form. (shrink)

This paper will discuss why and how social network sites ought to be used in surrogate decision making (SDM), with focus on a context like Singapore in which substituted judgment is incorporated as part of best interest assessment for SDM, as guided by the Code of Practice for making decisions for those lacking mental capacity under the Mental Capacity Act (2008). Specifically, the paper will argue that the Code of Practice already supports an ethical obligation, as part of a patient-centred (...) care approach, to look for and appraise social network site (SNS) as a source of information for best interest decision making. As an important preliminary, the paper will draw on Berg’s arguments to support the use of SNS information as a resource for SDM. It will also supplement her account for how SNS information ought to be weighed against or considered alongside other evidence of patient preference or wishes, such as advance directives and anecdotal accounts by relatives. (shrink)