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Special Article |

Medical Decision Making for Patients Without Surrogates

Sumeeta Varma, BS; David Wendler, PhD
Arch Intern Med. 2007;167(16):1711-1715. doi:10.1001/archinte.167.16.1711.
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Patients who lose decision-making capacity and lack advance directives and next of kin present a quandary for physicians. Current mechanisms for making treatment decisions for these patients rely on decision makers, such as courts, public guardians, committees, and physicians, who typically do not have sufficient knowledge to predict the patients' preferences. Thus, these mechanisms likely yield decisions that are inconsistent with patients' treatment preferences in many cases. A population-based treatment indicator is a computer-based tool that predicts which treatment a given patient would prefer based on the treatment preferences of similar patients in similar situations. A recent analysis suggests that a population-based treatment indicator could predict patient preferences as accurately as patient-appointed surrogates and next of kin. This analysis suggests that a population-based treatment indicator may provide a mechanism to respect the treatment preferences of patients without surrogates and ensure that their treatment preferences are respected as much as the preferences of patients who have surrogates. Collection of data on patients' treatment preferences, especially those without surrogates, incorporation of these data into a treatment indicator, and exploration of ways to implement this approach for patients without surrogates are called for.

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Process of development and implementation of a population-based treatment indicator.

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The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
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