Cargando…

Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer

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 c...

Descripción completa

Detalles Bibliográficos
Autores principales: Pickard, A Simon, Neary, Maureen P, Cella, David
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248572/
https://www.ncbi.nlm.nih.gov/pubmed/18154669
http://dx.doi.org/10.1186/1477-7525-5-70
_version_ 1782151012046340096
author Pickard, A Simon
Neary, Maureen P
Cella, David
author_facet Pickard, A Simon
Neary, Maureen P
Cella, David
author_sort Pickard, A Simon
collection PubMed
description 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 Eastern Cooperative Oncology Group performance status (PS) ratings and FACT-G total score-based quintiles. RESULTS: For UK-utility scores, MID estimates based on PS ranged from 0.10 to 0.12 both for all cancers and for lung cancer subgroup. Using FACT-G quintiles, MIDs were 0.09 to 0.10 for all cancers, and 0.07 to 0.08 for lung cancer. For US-utility scores, MIDs ranged from 0.07 to 0.09 grouped by PS for all cancers and for lung cancer; when based on FACT-G quintiles, MIDs were 0.06 to 0.07 in all cancers and 0.05 to 0.06 in lung cancer. MIDs for VAS scores were similar for lung and all cancers, ranging from 8 to 12 (PS) and 7 to 10 (FACT-G quintiles). DISCUSSION: Important differences in EQ-5D utility and VAS scores were similar for all cancers and lung cancer, with the lower end of the range of estimates closer to the MID, i.e. 0.08 for UK-index scores, 0.06 for US-index scores, and 0.07 for VAS scores.
format Text
id pubmed-2248572
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-22485722008-02-22 Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer Pickard, A Simon Neary, Maureen P Cella, David Health Qual Life Outcomes Research 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 Eastern Cooperative Oncology Group performance status (PS) ratings and FACT-G total score-based quintiles. RESULTS: For UK-utility scores, MID estimates based on PS ranged from 0.10 to 0.12 both for all cancers and for lung cancer subgroup. Using FACT-G quintiles, MIDs were 0.09 to 0.10 for all cancers, and 0.07 to 0.08 for lung cancer. For US-utility scores, MIDs ranged from 0.07 to 0.09 grouped by PS for all cancers and for lung cancer; when based on FACT-G quintiles, MIDs were 0.06 to 0.07 in all cancers and 0.05 to 0.06 in lung cancer. MIDs for VAS scores were similar for lung and all cancers, ranging from 8 to 12 (PS) and 7 to 10 (FACT-G quintiles). DISCUSSION: Important differences in EQ-5D utility and VAS scores were similar for all cancers and lung cancer, with the lower end of the range of estimates closer to the MID, i.e. 0.08 for UK-index scores, 0.06 for US-index scores, and 0.07 for VAS scores. BioMed Central 2007-12-21 /pmc/articles/PMC2248572/ /pubmed/18154669 http://dx.doi.org/10.1186/1477-7525-5-70 Text en Copyright © 2007 Pickard et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Pickard, A Simon
Neary, Maureen P
Cella, David
Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title_full Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title_fullStr Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title_full_unstemmed Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title_short Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer
title_sort estimation of minimally important differences in eq-5d utility and vas scores in cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248572/
https://www.ncbi.nlm.nih.gov/pubmed/18154669
http://dx.doi.org/10.1186/1477-7525-5-70
work_keys_str_mv AT pickardasimon estimationofminimallyimportantdifferencesineq5dutilityandvasscoresincancer
AT nearymaureenp estimationofminimallyimportantdifferencesineq5dutilityandvasscoresincancer
AT celladavid estimationofminimallyimportantdifferencesineq5dutilityandvasscoresincancer