Literature DB >> 20465316

Understanding the relationship between the EQ-5D, SF-6D, HAQ and disease activity in inflammatory arthritis.

Roisin Adams1, Cathal Walsh, Douglas Veale, Barry Bresnihan, Oliver FitzGerald, Michael Barry.   

Abstract

BACKGROUND: The growth of economic analyses and in particular cost-utility analyses (CUA), which use the QALY as a measure of outcome, has heightened the interest in the methodologies used to calculate the QALY. The EQ-5D has produced quite different utility values from that of the SF-6D. This article seeks to understand these differences using a cohort of patients with inflammatory arthritis.
OBJECTIVE: To examine the relationship between the disease-specific measure, Health Assessment Questionnaire (HAQ) disability index (DI) and the preference-based measures, SF-6D, EQ-5D and European League Against Arthritis (EULAR) Disease Activity Score (DAS) in patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA).
METHODS: Patients with RA and PsA (n = 504) attending a tertiary rheumatology referral centre completed the HAQ, SF-6D and the EQ-5D before starting biological therapy and again 12 months later. The SF-36 was converted into a utility using the preference-based SF-6D. Clinical outcomes such as the DAS, joint counts and laboratory measures were also recorded. We calculated single index utility scores from the preference-based instruments using UK population norms. We used regression analysis to derive a mapping function and calculated utility scores from the HAQDI and the DAS 28.
RESULTS: The mean utility observed at baseline for RA was 0.43 for the EQ-5D and 0.54 for the SF-6D and for PsA was 0.49 for the EQ-5D and 0.57 for the SF-6D. The utility gain demonstrated by the EQ-5D was over twice that of the SF-6D. The EQ-5D scored 17% of the RA group as less than 0 (state defined as worse than death); 7% of this group remained less than 0 at follow-up. The distribution of the utility estimates was similar for both RA and PsA.
CONCLUSIONS: Our findings draw attention to the impact of states worse than death on the overall distribution for the EQ-5D derived utilities and how these impact on its use in practice. EQ-5D-derived QALY changes are over twice that of the SF-6D. The implication of this for decision makers is that cost-effectiveness evaluations for treatments in this disease class are likely to be very sensitive to the choice of utility measure.

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Mesh:

Year:  2010        PMID: 20465316     DOI: 10.2165/11533010-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  38 in total

1.  The estimation of a preference-based measure of health from the SF-36.

Authors:  John Brazier; Jennifer Roberts; Mark Deverill
Journal:  J Health Econ       Date:  2002-03       Impact factor: 3.883

2.  Measuring health-related utility: why the disparity between EQ-5D and SF-6D?

Authors:  Stirling Bryan; Louise Longworth
Journal:  Eur J Health Econ       Date:  2005-09

3.  Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ-5D and SF-6D responses.

Authors:  Janelle Seymour; Paul McNamee; Anthony Scott; Michela Tinelli
Journal:  Health Econ       Date:  2010-06       Impact factor: 3.046

4.  Modelling the effect of function and disease activity on costs and quality of life in rheumatoid arthritis.

Authors:  G Kobelt; P Lindgren; Y Lindroth; L Jacobson; K Eberhardt
Journal:  Rheumatology (Oxford)       Date:  2005-06-14       Impact factor: 7.580

5.  The dimensions of health outcomes: the health assessment questionnaire, disability and pain scales.

Authors:  J F Fries; P W Spitz; D Y Young
Journal:  J Rheumatol       Date:  1982 Sep-Oct       Impact factor: 4.666

6.  Cost effectiveness of adalimumab in the treatment of patients with moderate to severe rheumatoid arthritis in Sweden.

Authors:  N J Bansback; A Brennan; O Ghatnekar
Journal:  Ann Rheum Dis       Date:  2004-11-18       Impact factor: 19.103

7.  Variation in the estimation of quality-adjusted life-years by different preference-based instruments.

Authors:  Barbara Conner-Spady; Maria E Suarez-Almazor
Journal:  Med Care       Date:  2003-07       Impact factor: 2.983

8.  Development and validation of response criteria in rheumatoid arthritis: steps towards an international consensus on prognostic markers.

Authors:  P L van Riel; A M van Gestel; L B van de Putte
Journal:  Br J Rheumatol       Date:  1996-09

Review 9.  The use of modelling to evaluate new drugs for patients with a chronic condition: the case of antibodies against tumour necrosis factor in rheumatoid arthritis.

Authors:  P Barton; P Jobanputra; J Wilson; S Bryan; A Burls
Journal:  Health Technol Assess       Date:  2004-03       Impact factor: 4.014

10.  Using the health assessment questionnaire to estimate preference-based single indices in patients with rheumatoid arthritis.

Authors:  Nick Bansback; Carlo Marra; Aki Tsuchiya; Aslam Anis; Daphne Guh; Tony Hammond; John Brazier
Journal:  Arthritis Rheum       Date:  2007-08-15
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  15 in total

1.  [Cross-sectional study on clinic behavior and therapeutic status of patients with psoriatic arthritis in multi-center].

Authors:  Y H Li; B Su; F A Lin; Y N Fei; X X Yu; W Q Fan; H Y Chen; X W Zhang; Y Jia
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-18

2.  Special Article: 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis.

Authors:  Jasvinder A Singh; Gordon Guyatt; Alexis Ogdie; Dafna D Gladman; Chad Deal; Atul Deodhar; Maureen Dubreuil; Jonathan Dunham; M Elaine Husni; Sarah Kenny; Jennifer Kwan-Morley; Janice Lin; Paula Marchetta; Philip J Mease; Joseph F Merola; Julie Miner; Christopher T Ritchlin; Bernadette Siaton; Benjamin J Smith; Abby S Van Voorhees; Anna Helena Jonsson; Amit Aakash Shah; Nancy Sullivan; Marat Turgunbaev; Laura C Coates; Alice Gottlieb; Marina Magrey; W Benjamin Nowell; Ana-Maria Orbai; Soumya M Reddy; Jose U Scher; Evan Siegel; Michael Siegel; Jessica A Walsh; Amy S Turner; James Reston
Journal:  Arthritis Rheumatol       Date:  2018-11-30       Impact factor: 10.995

Review 3.  Special Article: 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis.

Authors:  Jasvinder A Singh; Gordon Guyatt; Alexis Ogdie; Dafna D Gladman; Chad Deal; Atul Deodhar; Maureen Dubreuil; Jonathan Dunham; M Elaine Husni; Sarah Kenny; Jennifer Kwan-Morley; Janice Lin; Paula Marchetta; Philip J Mease; Joseph F Merola; Julie Miner; Christopher T Ritchlin; Bernadette Siaton; Benjamin J Smith; Abby S Van Voorhees; Anna Helena Jonsson; Amit Aakash Shah; Nancy Sullivan; Marat Turgunbaev; Laura C Coates; Alice Gottlieb; Marina Magrey; W Benjamin Nowell; Ana-Maria Orbai; Soumya M Reddy; Jose U Scher; Evan Siegel; Michael Siegel; Jessica A Walsh; Amy S Turner; James Reston
Journal:  Arthritis Care Res (Hoboken)       Date:  2018-11-30       Impact factor: 4.794

4.  The impact of a revised EQ-5D population scoring on preference-based utility scores in an inflammatory arthritis cohort.

Authors:  Roisin Adams; Benjamin M Craig; Cathal D Walsh; Douglas J Veale; Barry Bresnihan; Oliver FitzGerald; Michael Barry
Journal:  Value Health       Date:  2011-07-08       Impact factor: 5.725

5.  Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients.

Authors:  Nick Kontodimopoulos; Panagiotis Bozios; John Yfantopoulos; Dimitris Niakas
Journal:  Eur J Health Econ       Date:  2012-01-18

6.  Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD).

Authors:  Fan Yang; Titus Lau; Evan Lee; A Vathsala; Kee Seng Chia; Nan Luo
Journal:  Eur J Health Econ       Date:  2014-12-18

7.  Mapping health assessment questionnaire disability index (HAQ-DI) score, pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) onto the EuroQol-5D (EQ-5D) utility score with the KORean Observational study Network for Arthritis (KORONA) registry data.

Authors:  Hye-Lin Kim; Dam Kim; Eun Jin Jang; Min-Young Lee; Hyun Jin Song; Sun-Young Park; Soo-Kyung Cho; Yoon-Kyoung Sung; Chan-Bum Choi; Soyoung Won; So-Young Bang; Hoon-Suk Cha; Jung-Yoon Choe; Won Tae Chung; Seung-Jae Hong; Jae-Bum Jun; Jinseok Kim; Seong-Kyu Kim; Tae-Hwan Kim; Tae-Jong Kim; Eunmi Koh; Hwajeong Lee; Hye-Soon Lee; Jisoo Lee; Shin-Seok Lee; Sung Won Lee; Sung-Hoon Park; Seung-Cheol Shim; Dae-Hyun Yoo; Bo Young Yoon; Sang-Cheol Bae; Eui-Kyung Lee
Journal:  Rheumatol Int       Date:  2016-02-06       Impact factor: 2.631

8.  Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature.

Authors:  Dominic Thorrington; Ken Eames
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

9.  Comparison between EQ-5D and SF-6D utility in rural residents of Jiangsu Province, China.

Authors:  Hui Jin; Bei Wang; Qian Gao; Jianqian Chao; Siyuan Wang; Lin Tian; Pei Liu
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

10.  The use of continuous data versus binary data in MTC models: a case study in rheumatoid arthritis.

Authors:  Susanne Schmitz; Roisin Adams; Cathal Walsh
Journal:  BMC Med Res Methodol       Date:  2012-11-06       Impact factor: 4.615

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