Chair:
John F. P. Bridges PhD Assistant Professor, Department of Health Policy & Management Johns Hopkins Bloomberg School of Public Health

Leadership Team:
A. Brett Hauber PhD Senior Economist & Global Head, Health Preference Assessment, RTI Health Solutions, RTI International, Research Triangle Park, NC, USA
Deborah Marshall PhD, Canada Research Chair, Health Services and Systems Research & Associate Professor, Department of Community Health Sciences Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
Andrew Lloyd DPhil, Director, Oxford Outcomes, Oxford, UK
Lisa A. Prosser PhD, Research Associate Professor, Child Health Evaluation and Research Unit, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
Dean Regier PhD, Research Associate, Hospital for Sick Children, Toronto, ON, Canada
F. Reed Johnson PhD, Distinguished Fellow and Principal Economist, Health Preference Assessment Group, RTI Health Solutions, RTI International, Research Triangle Park, NC, USA
Josephine Mauskopf PhD, Vice President, Health Economics, RTI Health Solutions, RTI International, Research Triangle Park, NC USA

Task Force members meet to discuss A Checklist for Good Research Practices for the Application of Conjoint Analysis in Health Care Research.

Goal:
The objective of this Task Force is the development of a checklist for good research practices for the applications of conjoint analysis in outcomes research.  This checklist would present and illustrate good research practices for those undertaking conjoint analysis in outcomes research, for those peer reviewing or interpreting the results of such analyses. The checklist would also provide a sound, consensus based, framework for future working group and working group activities (such as ISPOR online and conference short courses).

Background / Overview:
Conjoint analysis and other methods to measure patient and other stakeholder preferences are increasingly being used in outcomes research, and even more broadly in health care and medicine, as a means to identify and evaluate the relative importance of aspects of health outcomes and health-care services. Despite the growing number of researchers using conjoint analysis in health care, there persists significant variability in the quality of conjoint analysis methods.  To overcome this application & quality variability, a means to assess good research practices is needed to promote adoption of better methods.

Timeline effective 3/25/2010:

Task Forces Index