tailieunhanh - báo cáo hóa học: "Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer | BioMed Central Health and Quality of Life Outcomes Research Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer A Simon Pickard 1 Maureen P Neary2 and David Cella3 Address 1Center for Pharmacoeconomic Research Department of Pharmacy Practice College of Pharmacy University of Illinois at Chicago Chicago USA 2Global Health Outcomes GlaxoSmithKline Collegeville Pennsylvania USA and 3Center for Outcomes Research and Education Evanston Healthcare and Feinberg School of Medicine Northwestern University Chicago USA Email A Simon Pickard - pickard1@ Maureen P Neary - David Cella-d-cella@ Corresponding author Open Access Published 21 December 2007 Received 27 August 2007 IJ Z- r r r J. 1 I I Z I A-7-7 ir-ir r -7Z Accepted 21 December 2007 Health and Quality of Life Outcomes 2007 5 70 doi l477-7525-5-70 This article is available from http content 5 1 70 2007 Pickard et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Understanding what constitutes an important difference on a HRQL measure is critical to its interpretation. The aim of this study was to provide a range of estimates of minimally important differences MIDs in EQ-5D scores in cancer and to determine if estimates are comparable in lung cancer. Methods A retrospective analysis was conducted on cross-sectional data collected from 534 cancer patients 50 of whom were lung cancer patients. A range of minimally important differences MIDs in EQ-5D index-based utility UK and US scores and VAS scores were estimated using both anchor-based and distribution-based 1 2 standard deviation and standard error of the measure approaches. Groups were anchored using .

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