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 .
GP preferences for information systems: conjoint analysis of speed, reliability, access and users.
RATIONALE , AIMS AND OBJECTIVE To elicit the preferences and trade-offs of UK general practitioners about key features of health information systems , to help inform the design of such systems in future . METHODS A stated choice study to uncover implicit preferences based on a binary choice between scenarios presented in r and om order . PARTICIPANTS were all 303 general practice members of the UK Internet service provider , Medix who were approached by email to participate . The main outcome measure was the number of seconds delay in system response that general practitioners were willing to trade off for each key system feature : the reliability of the system , the sites from which the system could be accessed and which staff are able to view patient data . RESULTS Doctors valued speed of response most in information systems but would be prepared to wait 28 seconds to access a system in exchange for improved reliability from 95 % to 99 % , a further 2 seconds for an improvement to 99.9 % and 27 seconds for access to data from anywhere including their own home compared with one place in a single health care premises . However , they would require a system that was 14 seconds faster to compensate for allowing social care as well as National Health Service staff to read patient data . CONCLUSIONS These results provide important new evidence about which system characteristics doctors value highly , and hence which characteristics design ers need to focus on when large scale health information systems are planned
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 .