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 .
Citizen Participation in Patient Prioritization Policy Decisions: An Empirical and Experimental Study on Patients' Characteristics
Health systems worldwide are grappling with the need to control costs to maintain system viability . With the combination of worsening economic conditions , an aging population and reductions in tax revenues , the pressures to make structural changes are expected to continue growing . Common cost control mechanisms , e.g. curtailment of patient access and treatment prioritization , are likely to be adversely viewed by citizens . It seems therefore wise to include them in the decision making processes that lead up to policy changes . In the context of a multilevel iterative mixed- method design a quantitative survey representative of the German population ( N = 2031 ) was conducted to probe the acceptance of priority setting in medicine and to explore the practicability of direct public involvement . Here we focus on preferences for patients ' characteristics ( medical aspects , lifestyle and socio-economic status ) as possible criteria for prioritizing medical services . A question naire with closed response options was fielded to gain insight into attitudes toward broad prioritization criteria of patient groups . Furthermore , a discrete choice experiment was used as a rigorous approach to investigate citizens ' preferences toward specific criteria level in context of other criteria . Both the question naire and the discrete choice experiment were performed with the same sample . The citizens ' own health and social situation are included as explanatory variables . Data were evaluated using corresponding analysis , contingency analysis , logistic regression and a multinomial exploded logit model . The results show that some medical criteria are highly accepted for prioritizing patients whereas socio-economic criteria are rejected
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 .