PURPOSE: To understand the effect of an adaptation exercise (AE) on general population values for rheumatoid arthritis (RA) states. METHODS: A sequential mixed methods design was employed: an analysis of a dataset to develop RA states for valuing in later phases of the study; a qualitative interview study with members of the general population to identify how an AE affected valuing of the RA states and to help design a questionnaire for the final phase; and a quantitative quasi-experimental study to identify factors that influence change in values after being informed about adaptation. RESULTS: Three RA states were developed using Rasch and cluster analyses. Participants in the qualitative phase identified a range of ways in which information about adaptation affected their values. For example, they realized they could adapt to RA because their family and friends who had RA, or similar conditions, could cope. A 25-item questionnaire was developed and used during the final phase to identify that younger and healthier individuals were more likely to increase their values after being informed about disease adaptation. The qualitative findings were revisited and found to support the quantitative results. CONCLUSIONS: This approach facilitated understanding of whether and how an AE affected valuing of health states. Each phase affected the next phase of the study, leading to the conclusion that general population respondents who have little experience of disease will likely increase their health state values after being informed about adaptation because they understand that they could cope with the disease.
PURPOSE: To understand the effect of an adaptation exercise (AE) on general population values for rheumatoid arthritis (RA) states. METHODS: A sequential mixed methods design was employed: an analysis of a dataset to develop RA states for valuing in later phases of the study; a qualitative interview study with members of the general population to identify how an AE affected valuing of the RA states and to help design a questionnaire for the final phase; and a quantitative quasi-experimental study to identify factors that influence change in values after being informed about adaptation. RESULTS: Three RA states were developed using Rasch and cluster analyses. Participants in the qualitative phase identified a range of ways in which information about adaptation affected their values. For example, they realized they could adapt to RA because their family and friends who had RA, or similar conditions, could cope. A 25-item questionnaire was developed and used during the final phase to identify that younger and healthier individuals were more likely to increase their values after being informed about disease adaptation. The qualitative findings were revisited and found to support the quantitative results. CONCLUSIONS: This approach facilitated understanding of whether and how an AE affected valuing of health states. Each phase affected the next phase of the study, leading to the conclusion that general population respondents who have little experience of disease will likely increase their health state values after being informed about adaptation because they understand that they could cope with the disease.
Authors: John Brazier; Ron Akehurst; Alan Brennan; Paul Dolan; Karl Claxton; Chris McCabe; Mark Sculpher; Aki Tsuchyia Journal: Appl Health Econ Health Policy Date: 2005 Impact factor: 2.561