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Computer predicts wishes of incapacitated patients better than family or loved ones

When a person fails to complete an advance directive and becomes incapacitated by illness or injury, doctors typically ask the patient's loved one to predict what treatment the patient would have wanted. But a paper in PLoS Medicine reports that a computer-based decision tool can predict a patient's treatment wishes better than a loved one.

To use the decision tool, called a "population-based treatment indicator," the doctor first enters the incapacitated patient's circumstances and personal characteristics into a computer. Perhaps, for example, the patient has pneumonia and severe Alzheimer disease, and he is a 60 year old, well educated, Native American, male. The computer analyzes the treatment preferences of similar individuals and estimates the likelihood that the patient would want antibiotics to treat his pneumonia.

A finding that 90% of highly educated Native American men over the age of 50 do not want to receive antibiotics to treat pneumonia in the setting of advanced Alzheimer disease would provide strong evidence that this patient would not want antibiotics in these circumstances either.

David Wendler and colleagues (US National Institutes of Health), who devised the tool, analyzed how well the tool performs compared to asking a loved one (loved ones are known as "surrogates").

There is obviously no way to determine which medical treatments patients actually want at the time they are incapacitated, and so studies looking at whether surrogates accurately predict patients' treatment choices must use hypothetical scenarios. For example, one study used the following scenario:

"You recently suffered a major stroke leaving you in a coma and unable to breathe without a machine. After a few months, the doctor determines that it is unlikely that you will come out of the coma. If your doctor had asked whether to try to revive you if your heart stopped beating in this situation, what would you have told th
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Contact: Andrew Hyde
press@plos.org
122-346-3330
Public Library of Science
12-Mar-2007


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