Ling-Hsiang Chuang1, Sarah J Whitehead. 1. Department of Health Sciences, University of York, Heslington, York, UK. ling-hsiang.chuang@york.ac.uk
Abstract
INTRODUCTION/ BACKGROUND: Mapping provides a statistical algorithm that allows the estimation of utilities and consequently calculation of QALYs in clinical studies where preference-based measures are not implemented. SOURCES OF DATA: Reviews of the mapping literature were utilized. AREAS OF AGREEMENT: Mapping requires similar populations between the estimation and study data sets, with a high degree of overlap between the target and base measures being desirable. The National Institute for Health and Clinical Excellence recognizes mapping as a method to provide utility information. Areas of controversy Issues surrounding mapping include the descriptive system of the measure, the appropriate econometric method and model specification. GROWING POINTS: There is a need for further research into the issue of over-prediction for severe health states and uncertainty around the estimated utility scores. AREAS TIMELY FOR DEVELOPING RESEARCH: Mapping continues to be an important area of research for economic evaluation, in particular validation of mapping functions.
INTRODUCTION/ BACKGROUND: Mapping provides a statistical algorithm that allows the estimation of utilities and consequently calculation of QALYs in clinical studies where preference-based measures are not implemented. SOURCES OF DATA: Reviews of the mapping literature were utilized. AREAS OF AGREEMENT: Mapping requires similar populations between the estimation and study data sets, with a high degree of overlap between the target and base measures being desirable. The National Institute for Health and Clinical Excellence recognizes mapping as a method to provide utility information. Areas of controversy Issues surrounding mapping include the descriptive system of the measure, the appropriate econometric method and model specification. GROWING POINTS: There is a need for further research into the issue of over-prediction for severe health states and uncertainty around the estimated utility scores. AREAS TIMELY FOR DEVELOPING RESEARCH: Mapping continues to be an important area of research for economic evaluation, in particular validation of mapping functions.
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