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 .
How Do Physicians Weigh Benefits and Risks Associated with Treatments in Patients with Osteoarthritis in the United Kingdom?
Objective . To quantify the relative importance that UK physicians attach to the benefits and risks of current drugs when making treatment decisions for patients with osteoarthritis ( OA ) . Methods . Physicians treating at least 10 patients with OA per month completed an online discrete-choice experiment survey and answered 12 treatment-choice questions comparing medication profiles . Medication profiles were defined by 4 benefits ( reduction in ambulatory pain , resting pain , stiffness , and difficulty doing daily activities ) and 3 treatment-related risks [ bleeding ulcer , stroke , and myocardial infa rct ion ( MI ) ] . Each physician made medication choices for 3 of 9 hypothetical patients ( varied by age , history of MI , hypertension , and history of gastrointestinal bleeding ) . Importance weights were estimated using a r and om-parameters logit model . Treatment-related risks physicians were willing to accept in exchange for various reductions in ambulatory and resting pain also were calculated . Results . The final sample was 475 . A reduction in ambulatory pain from 75 mm to 25 mm ( 1.6 units ) was 1.1 times as important as an increase in MI risk from 0 % to 1.5 % ( 1.5 units ) . The greatest importance was for eliminating a 3 % treatment-related risk of MI or stroke . On average , physicians were willing to accept an increase in bleeding ulcer risk of 0.7 % ( 95 % CI 0.4%–1.7 % ) for a reduction in ambulatory pain of 75 mm to 50 mm . Conclusion . When presented with well-known benefits and risks of OA treatments , physicians placed greater importance on the risks than on the analgesic properties of the drug . This has implication s for the reporting of the results of clinical research to physicians
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 .