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Purpose: When healthy non-patients are asked to estimate the happiness associated with a given health condition, their estimates typically differ from those made by patients who have experience with that condition. This happiness gap might occur because patients� experience provides contextual knowledge about the relative severity of the condition that is unavailable to non-patients � they are better able to appreciate the emotional impact of mild versus severe disease. This study tested whether non-patients distinguish more between different lung conditions when provided with contextual information about disease severity and whether increased discrimination reduces the happiness gap.
Method: We recruited a convenience sample of 240 non-patients from a hospital cafeteria, and 158 patients with chronic bronchitis or emphysema from a hospital pulmonary clinic. Patients and non-patients were randomly assigned either to provide QoL estimates for each of 5 lung conditions of varying severity (context condition), or only 1 of these possible conditions (no context information). QoL estimates were made on a scale of 0 (as bad as death) to 100 (perfect health).
Results: Non-patients� QoL ratings for the 5 lung conditions were more broadly distributed in the context condition (range = 45.15) than the no context condition (range = 15.81). However, non-patients ratings were still more narrowly distributed than patients ratings in both the context (range = 66.89) and the no context condition (range = 28.66), and the happiness gap was not eliminated in the context condition.
Conclusions: Providing contextual information to non-patients about the relative severity of a given health condition increases their discrimination among these conditions, but does not eliminate the gap between patients� and non-patients� ratings. Contextual information does not equalize patients� and non-patients� perceptions of emphysema and thus cannot readily account for the happiness gap.
See more of Poster Session - Utility Theory; Health Economics; Patient & Physician Preferences; Simulation; Technology Assessment
See more of The 26th Annual Meeting of the Society for Medical Decision Making (October 17-20, 2004)