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Thinking and Deciding

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DECISION ANALYSIS AND RELATED METHODS 313<br />

The benefit of a health treatment is not something that comes in units like acres<br />

or dollars. Health has value because people value it. Nor can we consult the market<br />

price to determine how much people value health. There is no store where you can<br />

buy a cure for migraines or a bad back. You can buy treatments that might help,<br />

but their price is not determined by the free market. Most people who get these<br />

treatments have insurance, so they do not pay the cost. Ultimately, the best way to<br />

assign values to treatments is to ask people to judge their utility.<br />

This is just what the state did. It appointed a commission to elicit utility judgments<br />

from the public. The idea was to measure the benefit of various treatments.<br />

Then the benefit would be divided by the cost, <strong>and</strong> each treatment would be assigned<br />

a number representing its benefit per dollar, that is, its utility per dollar. The treatments<br />

would then be ranked by this measure. Those with the highest benefit per<br />

dollar would be at the top. The state would then go down the list, one by one, figuring<br />

out how much money it would have to spend per year on each treatment. When<br />

it ran out of money, it would draw a line. It would not cover anything below the line.<br />

This way, the state would get the most total benefit for the dollars availalble. Notice<br />

that any switching above <strong>and</strong> below the line would make things worse. If some treatments<br />

below the line cost the same as some above it, then switching the two groups<br />

would mean that less benefit was obtained for the same cost. (The estimates were<br />

not exact, so it would not be possible to “cheat” by moving a rare treatment above<br />

the line, on the ground that it just used up the small excess left over.)<br />

Initially, opponents saw the plan as another way to pick on the poor, who were<br />

already picked on enough. Indeed, the very poor who qualified for Medicaid got a reduction<br />

in coverage. In 1987, Coby Howard, a seven-year-old boy, died of leukemia<br />

after being denied a bone-marrow transplant under Medicaid because the legislature<br />

had already decided not to cover such transplants. This was not part of the Oregon<br />

Health Plan, but it raised fears of more of the same. This kind of treatment is exactly<br />

what would be cut off. It was very expensive <strong>and</strong> very unlikely to succeed. (Now the<br />

plan covers such transplants routinely.) But Kitzhaber <strong>and</strong> others rallied support for<br />

the plan, <strong>and</strong> it went ahead.<br />

The commission made up a list of 709 condition-treatment pairs. Each pair was<br />

evaluated in terms of alleviation of symptoms, quality of life, <strong>and</strong> cost. To rate the<br />

utility of the symptoms, the commission did a telephone survey of Oregon residents.<br />

Each respondent rated twenty-three symptoms on a scale from 0 to 100, where 0 represents<br />

“as bad as death” <strong>and</strong> 100 represents “good health.” The symptoms included<br />

such things as “burn over large areas of face, body, arms, or legs” (rated about half<br />

as bad as death), “trouble talking, such as lisp, stuttering, hoarseness, or inability to<br />

speak,” <strong>and</strong> “breathing smog or unpleasant air” (rated closest to good health). The<br />

respondent also rated descriptions of limitations in mobility, physical activity, <strong>and</strong><br />

social activity, such as health related limitation in some social role.<br />

Experts then used these ratings to determine the average benefit of each treatmentcondition<br />

pair. They took into account the duration <strong>and</strong> probability of the benefits<br />

of treatment, compared to what would happen without the treatment under consideration.<br />

Then these benefits were divided by the cost to get the average benefit per

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