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 .
Using discrete choice experiment to elicit doctors' preferences for the report card design of diabetes care in Taiwan - a pilot study.
OBJECTIVES Little is known about doctors ' preferences regarding public report card design .  Taiwan just announced the first diabetes report card on April 2008 . The aim of this study was to investigate the Diabetes Mellitus ( DM ) providers ' preferences towards four report card attributes : up date frequency , risk adjustment , content information and display format . METHODS A discrete choice question naire  was mailed to hospital and primary care doctors in the northern part of Taiwan , with 221 study targets . The response rate was 29 % . RESULTS Using r and om effect logistic regression , doctors ' preference attribute rankings were risk adjustment for patients ( 44.7 % ) , content information ( 25.2 % ) , display format ( 18.3 % ) and up date frequency ( 11.8 % ) . One-year up date frequency , risk adjustment , detailed scores of technical quality and interpersonal quality and bar chart display were the most important items noted in our survey . CONCLUSIONS This is the first study to investigate provider 's preferences for a diabetes report card . It enables the policy maker to clearly see the implication of trade-offs between different choices when design ing a report card that doctors will like . Our findings suggest that doctors do not favour the ' less is more ' principle , or the higher frequency of up date s that patients may prefer . Rather , our findings suggest that risk adjustment and more information content are the most important factors for doctors . Future studies should use discrete choice experiment on different aspects of report card design , such as vulnerable patients or health care administrations
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 .