We found a continuing trend towards conducting DCEs across a broader range of countries .
However , the trend towards including fewer attributes was reversed , whilst the trend towards interview-based DCEs reversed because of increased computer administration .
The trend towards using more flexible econometric models , including mixed logit and latent class , has also continued .
Reporting of monetary values has fallen compared with earlier periods , but the proportion of studies estimating trade-offs between health outcomes and experience factors , or valuing outcomes in terms of utility scores , has increased , although use of odds ratios and probabilities has declined .
The reassuring trend towards the use of more flexible and appropriate DCE design s and econometric methods has been reinforced by the increased use of qualitative methods to inform DCE processes and results .
However , qualitative research methods are being used less often to inform attribute selection , which may make DCEs more susceptible to omitted variable bias if the decision framework is not known prior to the research project .
Background Discrete choice experiments ( DCEs ) are increasingly used in health economics to address a wide range of health policy-related concerns .
Objective Broadly adopting the methodology of an earlier systematic review of health-related DCEs , which covered the period 2001–2008 , we report whether earlier trends continued during 2009–2012 .
Patient preferences for reducing toxicities of treatments for gastrointestinal stromal tumor (GIST)
Purpose : To quantify gastrointestinal stromal tumor ( GIST ) patients ’ preferences for reducing treatment toxicities and the likely effect of toxicities on patients ’ stated adherence . Methods : English-speaking members of the Life Raft Group , a GIST patient advocacy and research organization , aged 18 years and older , completed a web-enabled survey including a series of treatment-choice questions , each presenting a pair of hypothetical GIST medication toxicity profiles . Each profile was defined by common or concerning toxicities verified via pretest interviews including : severity of edema , diarrhea , nausea , fatigue , rash , h and -foot syndrome , and heart failure ; and risk of serious infection . Each subject answered 13 choice-format questions based on a predetermined experimental design with known statistical properties . Subjects were asked to rate the likelihood that they would miss or skip doses of medications with different toxicity profiles . R and om-parameters logit was used to estimate a relative preference weight for each level of toxicity . Results : 173 subjects completed the survey . Over the ranges of toxicity levels included in the study , heart failure was the most important toxicity . Edema was the least important . For all toxicities , reducing severity from severe to moderate was more important to subjects than reducing severity from moderate to mild . Reducing heart failure from moderate to mild and diarrhea from severe to moderate had the largest effects on subjects ’ evaluation of adherence . Conclusions : All toxicities included in the study are important to patients . Treating or reducing severe toxicities is much more important to patients than treating or reducing moderate toxicities . Focused reductions of certain toxicities may improve treatment adherence
We found a continuing trend towards conducting DCEs across a broader range of countries .
However , the trend towards including fewer attributes was reversed , whilst the trend towards interview-based DCEs reversed because of increased computer administration .
The trend towards using more flexible econometric models , including mixed logit and latent class , has also continued .
Reporting of monetary values has fallen compared with earlier periods , but the proportion of studies estimating trade-offs between health outcomes and experience factors , or valuing outcomes in terms of utility scores , has increased , although use of odds ratios and probabilities has declined .
The reassuring trend towards the use of more flexible and appropriate DCE design s and econometric methods has been reinforced by the increased use of qualitative methods to inform DCE processes and results .
However , qualitative research methods are being used less often to inform attribute selection , which may make DCEs more susceptible to omitted variable bias if the decision framework is not known prior to the research project .
Background Discrete choice experiments ( DCEs ) are increasingly used in health economics to address a wide range of health policy-related concerns .
Objective Broadly adopting the methodology of an earlier systematic review of health-related DCEs , which covered the period 2001–2008 , we report whether earlier trends continued during 2009–2012 .