The Journal of medicine and philosophy
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It has recently been proposed to incorporate the use of a "Patient Preference Predictor" (PPP) into the process of making treatment decisions for incapacitated patients. 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. ⋯ However, developing and implementing a PPP poses significant practical challenges. The present paper discusses these practical challenges and considers ways to address them.
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Rid and Wendler propose the development of a Patient Preference Predictor (PPP), an actuarial model for predicting incapacitated patient's life-sustaining treatment preferences across a wide range of end-of-life scenarios. An actuarial approach to end-of-life decision making has enormous potential, but transferring the logic of actuarial prediction to end-of-life decision making raises several conceptual complexities and logistical problems that need further consideration. Actuarial models have proven effective in targeted prediction tasks, but no evidence supports their effectiveness in the kind of broad spectrum prediction task that is the proposed goal of the PPP. We argue that a more focused approach, targeting specific medical conditions and generating treatment predictions based on the preferences of individuals with actual disease experience, is both more firmly grounded in past research and is a more prudent initial strategy for exploring the efficacy of actuarial prediction in end-of-life decision making.
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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. ⋯ 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.
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In this paper, I set out two ethical complications for Rid and Wendler's proposal that a "Patient Preference Predictor" (PPP) should be used to aid decision making about incapacitated patients' care. Both of these worries concern how a PPP might categorize patients. ⋯ In the second section, I argue for a more specific--but more contentious--claim that proper respect for the autonomy of incapacitated patients might require us to act on reasons which they could endorse and show how this claim places important limits on the categories employed by an ethically acceptable PPP. The conclusion shows how these concerns about apt categorization relate to more familiar worries about Rid and Wendler's proposals.
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The Patient Preference Predictor (PPP) is intended to improve treatment decision making for incapacitated patients. The PPP would collect information about the treatment preferences of people with different demographic and other characteristics. ⋯ The PPP could be incorporated into existing US law governing treatment for incapacitated patients, although it is unclear whether it would be classified as evidence of a specific patient's preferences or those of a reasonable person sharing certain characteristics with the patient. Ethical concerns about the quality and significance of PPP choices could influence legal decision makers' views of the PPP.