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 .
Understanding the impact of economic evidence on clinical decision making: a discrete choice experiment in cardiology.
The present study aims to evaluate the impact of  cost-effectiveness information  on clinical decision making using discrete choice experiment ( DCE ) methodology . Data were collected through a self-completed question naire  administered to Italian cardiologists in June 2007 ( n = 129 respondents , 1143 observations ) . The question naire asked clinicians to make choices between paired scenarios , across which three key dimensions were identified and varied : ( 1 ) quality of clinical evidence , ( 2 ) size of health gain ( reduction of relative and absolute risk ) , and ( 3 ) economic impact ( incremental cost-effectiveness ratio ) . A r and om effects probit model was used to estimate clinicians ' preferences for the different dimensions , while the heterogeneity of preferences was tested in a model with interaction terms . Dominance tests were used to assess the consistency of responses . The results indicate that Italian cardiologists regard economic impact ( cost-effectiveness ) as an important factor in their decision making . Economic evidence is valued more highly among clinicians with a higher self-assessed level of knowledge regarding economic evaluation techniques , as well as among younger professionals ( age<45 ) . While relevant study limitations should be acknowledged , our results suggest that DCEs can be used to elicit clinicians ' decision-making criteria and to inform the allocation of re sources for future research in a logical manner . Italian cardiologists appear to take  cost-effectiveness information into account when deciding whether to use new treatments
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 .