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 experiments to inform randomised controlled trials: an application to chronic low back pain management in primary care.
Pain Management Programmes ( PMPs ) are a multi-disciplinary approach to the management of chronic low back pain ( CLBP ) . Notwithst and ing evidence of effectiveness , successful take-up of programmes requires acceptability to patients . We used a discrete choice experiment to investigate patient preferences for alternative PMPs for managing CLBP in primary care . Specifically , we estimated the probability of uptake of alternative configurations of PMPs . Potential attributes and associated levels influencing take-up were identified through a systematic literature review , survey of current PMPs , expert consultation , and focus groups . Five attributes were included : content ; provider ; schedule ; group size ; and travel time to clinic . Four hundred and fourteen question naires were mailed to patients attending clinics and 124 question naires were returned suitable for analysis . Method of delivery influenced probability of take-up , with small group sizes and low intensity programmes over a prolonged period increasing the probabilities . Travel time was also important . However , providers and contents of PMPs were not main drivers of preferences , though those with more severe pain did prefer PMPs provided by more specialists . Probability of take-up increases when PMPs better reflect patient preferences . Given preferences , re source constraints , and evidence on clinical outcomes of alternative configurations it is suggested more re source -intensive PMPs be reserved for those with the most severe and disabling pain and less intensive programmes delivered over a longer time period in smaller groups for those with less severe pain . These findings can inform future r and omised trials to evaluate acceptable PMPs in primary care
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 .