This research utilized conjoint analysis and an analysis of information acquisition to examine the effects of situational involvement and task complexity on physician's decision-making process. The predictive accuracy of the linear model in predicting drug choice across situations was also...

Objective: To investigate the effect of changes in body mass index (BMI) on health state preferences (HSP). Design: Multiple regression analysis on pooled data from a clinical study, predicting final HSP as a function of changes in BMI and initial HSP, controlling for age and gender. Subgroup...

Sleep dysfunction can manifest in several ways, ranging from insomnia to somnolence, and from disrupted sleep to lack of restful sleep. Measuring sleep dysfunction is an area of active research and there exist a number of patient-reported outcome instruments that measure various aspects of sleep...

Objective: To assess patient preferences for health states associated with diabetic peripheral neuropathy (DPN). Design and intervention: Seven health states describing varying stages of disease severity in DPN were developed: mild neuropathy, painful neuropathy, severe neuropathy, minor ulcer,...

This article compares two measurement strategies for measuring EuroQol health state preferences: (a) conditional preference modelling, implemented using rating scale and standard gamble scaling methods and (b) discrete choice conjoint modelling. The nature of the model form of the EuroQol health...