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 and parent preferences for haemophilia A treatments.
Little is known about the relative importance of factor VIII ( FVIII ) treatment attributes to haemophilia A patients and their willingness to accept trade-offs among these attributes . To quantify patient and parent preferences for FVIII treatments and compare the relative importance of treatment attributes . Adult patients and parents of children with severe haemophilia A in the US completed a web-enabled , choice-format conjoint survey that presented a series of 12 trade-off questions , each including a pair of hypothetical treatment profiles . Each profile was defined by percent of bleeds stopped with one or two infusions , chance of developing an inhibitor , risk of viral infection , preparation volume , dosage strengths available , and history of supply shortage . Trade-off questions were based on a D-optimal experimental design . Preference weights for attribute levels were estimated using r and om-parameters logit . One hundred and forty seven subjects completed the survey . Over the ranges of attribute levels included in the study , risk of viral infection was the most important attribute . Remaining attributes were ranked in decreasing order of importance as follows : chance of developing an inhibitor , dosage strengths available , percent of bleeds stopped with one or two infusions , history of supply shortage , and preparation volume . Risk of viral infection was 6.0 times as important as percent of bleeds stopped with one or two infusions and 2.7 times as important as the chance of developing an inhibitor . While risk of viral infection was the most important attribute , this research demonstrates that many FVIII treatment attributes are important in the decision-making process
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 .