Publications by authors named "Todd R Roberts"

Communications of treatment risk, such as medication package inserts, commonly report total rates of adverse reactions (e.g., 4% get heartburn with placebo, 9% with medication).

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Objective: Person tradeoff (PTO) elicitations assess people's values for health states by asking them to compare the value of treatment programs. For example, people might be asked how many patients need to be cured of health condition X to equal the benefit of curing 100 people of condition Y. However, when faced with PTO elicitations, people frequently refuse to make quantifiable tradeoffs, exhibiting 2 kinds of refusals: 1) They say that 2 treatment programs have equal value, that curing 100 of X is just as good as curing 100 of Y, even if X is a less serious condition than Y, or 2) they say that the 2 programs are incomparable, that millions of people need to be cured of X to be as good as curing 100 of Y.

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Purpose: Research on survey methodology has demonstrated that seemingly innocuous aspects of a survey's design, such as the order of questions, can produce biased results. The current investigation extends this work by testing whether standard survey introductions alter the observed associations between variables.

Methods: In two experimental studies, we invited Parkinson's disease (PD) patients to participate in a telephone survey of (a) Parkinson's patients, conducted by a regional medical center, or (b) the general population, conducted by a regional university.

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Background: Person trade-off (PTO) elicitations yield different values than standard utility measures, such as time trade-off (TTO) elicitations. Some people believe this difference arises because the PTO captures the importance of distributive principles other than maximizing treatment benefits. We conducted a qualitative study to determine whether people mention considerations related to distributive principles other than QALY-maximization more often in PTO elicitations than in TTO elicitations and whether this could account for the empirical differences.

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