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 .
Patient preferences for osteoporosis in Spain: a discrete choice experiment
Summary In Spain , various treatments are available to prevent osteoporotic fractures . A discrete choice experiment ( DCE ) was used to investigate the importance of different treatment aspects and its influence on patients ’ preferences . All attributes included as type and place of drug administration as well as costs showed to be significant predictors of choice . Spanish osteoporosis patients have well-defined preferences and accept trade-offs among attributes . Introduction This study was design ed to identify patient preferences for different aspects of osteoporosis treatments in Spain . Methods Main attributes of severe osteoporosis treatments were determined by literature review and consultations with nurses . The discrete choice experiment included three attributes : type of drug administration , place of administration , plus a cost attribute in order to estimate willingness to pay for improvements in attribute levels . A pilot study with 50 patients was performed to identify the areas of misunderst and ing . One hundred sixty-six patients with a diagnosis of osteoporosis and severe osteoporosis were presented with pairs of hypothetical treatment profiles with different type of administration levels , places of administration and costs . Questions to collect socio-demographic and disease-related treatment data were also included . Data were analysed using a r and om effects probit model . Results All attributes had the expected polarity and were significant predictors of choice . Patients were willing to pay 183 € /month to have a subcutaneous injection once per day rather than an intravenous injection once per year . Patients with osteoporosis were willing to pay 121 € /month to have medical support when administering the drug treatment at home rather than being admitted several hours to a hospital for drug administration . ConclusionS panish osteoporosis patients have well-defined preferences among treatment attributes and are willing to accept trade-offs among attributes . Participants indicated that they are willing to accept self medication with medical support rather than being hospitalised for several hours . The perspective of the patients should be taken into account when making treatment decisions
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 .