Paul Kind1, Susan Macran. 1. Outcomes Research Group, Centre for Health Economics, Alcuin College, University of York, UK. pk1@york.ac.uk
Abstract
BACKGROUND: The Functional Assessment of Cancer Therapy-Lung (FACT-L) is a multidimensional measure of quality of life developed for use in the evaluation of interventions in lung cancer. OBJECTIVE: To develop a set of utility weights that could be used to convert FACT-L into a single index capable of being used in the economic analysis of clinical trial data. METHOD: A core set of FACT-L items were valued in two versions of a 14-page postal survey of over 400 members of the UK general population. Respondents valued hypothetical FACT-L health states using a scale from 0 to 100 (worst to best health state). Respondents also valued their own health using the standard form of the EuroQol EQ-5D. Data were entered into an ordinary least squares regression model. RESULTS: Item weights estimated in regression analysis yielded values for 10 items from the FACT-L. The summary index based on this selected set of FACT-L items has a maximum value of 0.703 and a minimum value of 0.111. CONCLUSION: This study demonstrates a practical method of converting a standard condition-specific measure into a form that has the requisite properties to legitimise its use in cost-utility analysis. The methodology used here is not unique to FACT-L and might be considered appropriate for use in converting similar instruments.
BACKGROUND: The Functional Assessment of Cancer Therapy-Lung (FACT-L) is a multidimensional measure of quality of life developed for use in the evaluation of interventions in lung cancer. OBJECTIVE: To develop a set of utility weights that could be used to convert FACT-L into a single index capable of being used in the economic analysis of clinical trial data. METHOD: A core set of FACT-L items were valued in two versions of a 14-page postal survey of over 400 members of the UK general population. Respondents valued hypothetical FACT-L health states using a scale from 0 to 100 (worst to best health state). Respondents also valued their own health using the standard form of the EuroQol EQ-5D. Data were entered into an ordinary least squares regression model. RESULTS: Item weights estimated in regression analysis yielded values for 10 items from the FACT-L. The summary index based on this selected set of FACT-L items has a maximum value of 0.703 and a minimum value of 0.111. CONCLUSION: This study demonstrates a practical method of converting a standard condition-specific measure into a form that has the requisite properties to legitimise its use in cost-utility analysis. The methodology used here is not unique to FACT-L and might be considered appropriate for use in converting similar instruments.
Authors: D F Cella; D S Tulsky; G Gray; B Sarafian; E Linn; A Bonomi; M Silberman; S B Yellen; P Winicour; J Brannon Journal: J Clin Oncol Date: 1993-03 Impact factor: 44.544
Authors: Jonathan W Kowalski; Anne M Rentz; John G Walt; Andrew Lloyd; Jeff Lee; Tracey A Young; Wen-Hung Chen; Neil M Bressler; Paul Lee; John E Brazier; Ron D Hays; Dennis A Revicki Journal: Qual Life Res Date: 2011-08-04 Impact factor: 4.147
Authors: Martina Garau; Koonal K Shah; Anne R Mason; Qing Wang; Adrian Towse; Michael F Drummond Journal: Pharmacoeconomics Date: 2011-08 Impact factor: 4.981
Authors: Leah Y Carreon; Steven D Glassman; Christine M McDonough; Raja Rampersaud; Sigurd Berven; Michael Shainline Journal: Spine (Phila Pa 1976) Date: 2009-09-01 Impact factor: 3.468