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 .
Patients rank toxicity against progression free survival in second-line treatment of advanced renal cell carcinoma
Abstract Background : The aims of this study were to quantify and contrast patient preferences between second-line advanced renal cell carcinoma ( RCC ) medication profiles and their associated benefits and toxicities , and to help frame the doctor – patient discussion about selecting appropriate RCC therapies . Research design and methods : Adult residents of the US with a diagnosis of RCC completed a Web-enabled choice-format conjoint survey consisting of a series of 10 treatment-choice questions , each of which included a pair of hypothetical RCC medication profiles . Each profile was described by various medication attributes ( features or outcomes ) with varying levels . The attributes included efficacy ( progression-free survival [ PFS ] ) , tolerability ( fatigue , stomach problems , mucositis or stomatitis , h and –foot syndrome [ HFS ] ) , serious but rare adverse events ( pneumonitis , hepatic impairment ) , and mode of administration . Treatment-choice questions were based on an experimental design with known statistical properties . R and om-parameters logit regression was used to estimate relative preference weights for each attribute level . Benefit equivalent measures ( additional months of PFS in exchange for toxicities ) were also calculated . Results : Of the 272 patients who completed the survey , the majority were female ( 53 % ) , white ( 92 % ) , and had at least a college degree ( 66 % ) . The mean age was 57 years ( st and ard deviation : 10 years ) . Over the range of attributes and attribute levels included in the survey , PFS was the most important attribute , followed by fatigue , stomach problems , hepatic impairment , mucositis or stomatitis , HFS , pneumonitis , and mode of administration . To reduce severe fatigue to mild-to-moderate fatigue , patients on average would be willing to forego 4.4 months of PFS . To reduce hepatic impairment risk from 0.5 % to 0.0 % , patients on average would be willing to forego 1.0 month of PFS . The main study limitation was that patients answered hypothetical treatment-choice questions . Conclusions : This study provides information to physicians about patient priorities when review ing and selecting RCC therapies with patients
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 .