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 .
Does attribute framing in discrete choice experiments influence willingness to pay? Results from a discrete choice experiment in screening for colorectal cancer.
OBJECTIVE Recent review s of discrete choice methodology identified method ological issues warranting further exploration , including the issue of " framing . " The objective of this study was to conduct a method ological exploration of the effect of attribute framing on marginal rates of substitution ( MRS ) , including willingness to pay ( WTP ) from a discrete choice experiment ( DCE ) , within the context of colorectal cancer screening preferences . METHODS The survey , a fractional factorial design of a two-alternative , unlabeled experiment , was mailed to a sample of 1920 subjects in NSW , Australia . Participants were r and omized to one of four alternative " frames " of information . Attributes included : accuracy of the test for finding cancers , accuracy of the test for finding large polyps , how good the test is at saying you do n't have cancer , cost , dietary and medication restrictions and sample collection . A mixed logit model was used to estimate preferences ; MRS between attributes , including WTP , was calculated . RESULTS A total of 1157 surveys from 1920 ( 60.2 % ) were returned . Accuracy of the test for finding cancer was most likely to influence choice of test , followed by accuracy of the test for finding large polyps . Under some circumstances , framing of the attributes ( e.g. , cancers found vs. cancers missed ) influenced the relative importance of attributes . Attribute framing significantly influenced estimates of WTP , and benefit : harm trade-offs that were calculated from MRS . CONCLUSIONS Attribute framing can influence willingness to pay and benefit : harm trade-offs from DCEs . Appropriate design and analysis methods should be explored to further characterize the influence and extent of framing in discrete choice studies
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 .