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Measuring quality of life of patients with axial spondyloarthritis for economic evaluation

Hernandez Alava, Monica ; Wailoo, Allan ; Chrysanthou, Georgios ; Barcelos, Filipe ; Van Gaalen, Floris A. ; Santos, Helena ; Fagerli, Karen Minde ; Gago, Laura ; Margarida Cunha, Maria and Van De Sande, Marleen , et al. (2022) In RMD Open 8(1).
Abstract

Objectives To estimate the relationship between EQ5D (three levels, UK version) and the Ankylosing Spondylitis Disease Activity Score (ASDAS) for use in the economic evaluation of health technologies for people with axial spondyloarthritis (axSpA). To compare against the relationship with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). Methods An electronic, prospective, Portuguese, nationwide, rheumatic disease register (Reuma.pt) provided data on 1140 patients (5483 observations) with a confirmed diagnosis of axSpA. We estimated models of EQ5D as a function of ASDAS, alone or in combination with measures of functional impairment, using bespoke mixture models which reflect the complex distributional features of EQ5D.... (More)

Objectives To estimate the relationship between EQ5D (three levels, UK version) and the Ankylosing Spondylitis Disease Activity Score (ASDAS) for use in the economic evaluation of health technologies for people with axial spondyloarthritis (axSpA). To compare against the relationship with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). Methods An electronic, prospective, Portuguese, nationwide, rheumatic disease register (Reuma.pt) provided data on 1140 patients (5483 observations) with a confirmed diagnosis of axSpA. We estimated models of EQ5D as a function of ASDAS, alone or in combination with measures of functional impairment, using bespoke mixture models which reflect the complex distributional features of EQ5D. The SPondyloArthritis Caught Early cohort provided data from 344 patients (1405 observations) in four European countries and was used for validation. A previously published model of BASDAI/Bath Ankylosing Spondylitis Functional Index (BASFI) was also used to generate predicted EQ5D scores and model performance compared. Results A non-linear relationship exists between EQ5D from ASDAS. The final model included ASDAS, ASDAS squared, age and age squared and demonstrated close fit in both datasets except where data were sparse for patients with very high levels of disease activity (ASDAS >4). This finding held in the validation dataset. Models that included BASFI improved model fit. The ASDAS based models fit the data marginally less well than models using BASDAI. Conclusions Mapping models linking ASDAS to EQ5D allow results from clinical studies to be used in economic evaluation of health technologies with confidence. There is some loss of information compared with BASDAI but this has only a marginal impact.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Ankylosing, Economics, Patient reported outcome measures, Spondylitis
in
RMD Open
volume
8
issue
1
article number
e001955
publisher
BMJ Publishing Group
external identifiers
  • pmid:35177554
  • scopus:85124774577
ISSN
2056-5933
DOI
10.1136/rmdopen-2021-001955
language
English
LU publication?
yes
id
89e98d8f-ffd2-4c1d-a907-6a06bb335310
date added to LUP
2022-04-13 10:34:48
date last changed
2024-04-23 10:54:12
@article{89e98d8f-ffd2-4c1d-a907-6a06bb335310,
  abstract     = {{<p>Objectives To estimate the relationship between EQ5D (three levels, UK version) and the Ankylosing Spondylitis Disease Activity Score (ASDAS) for use in the economic evaluation of health technologies for people with axial spondyloarthritis (axSpA). To compare against the relationship with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). Methods An electronic, prospective, Portuguese, nationwide, rheumatic disease register (Reuma.pt) provided data on 1140 patients (5483 observations) with a confirmed diagnosis of axSpA. We estimated models of EQ5D as a function of ASDAS, alone or in combination with measures of functional impairment, using bespoke mixture models which reflect the complex distributional features of EQ5D. The SPondyloArthritis Caught Early cohort provided data from 344 patients (1405 observations) in four European countries and was used for validation. A previously published model of BASDAI/Bath Ankylosing Spondylitis Functional Index (BASFI) was also used to generate predicted EQ5D scores and model performance compared. Results A non-linear relationship exists between EQ5D from ASDAS. The final model included ASDAS, ASDAS squared, age and age squared and demonstrated close fit in both datasets except where data were sparse for patients with very high levels of disease activity (ASDAS &gt;4). This finding held in the validation dataset. Models that included BASFI improved model fit. The ASDAS based models fit the data marginally less well than models using BASDAI. Conclusions Mapping models linking ASDAS to EQ5D allow results from clinical studies to be used in economic evaluation of health technologies with confidence. There is some loss of information compared with BASDAI but this has only a marginal impact. </p>}},
  author       = {{Hernandez Alava, Monica and Wailoo, Allan and Chrysanthou, Georgios and Barcelos, Filipe and Van Gaalen, Floris A. and Santos, Helena and Fagerli, Karen Minde and Gago, Laura and Margarida Cunha, Maria and Van De Sande, Marleen and Couto, Maura C. and Bernardes, Miguel and Ramonda, Roberta and Exarchou, Sofia and Carvalho, Pedro D. and Van Der Heijde, Desirée and MacHado, Pedro M.}},
  issn         = {{2056-5933}},
  keywords     = {{Ankylosing; Economics; Patient reported outcome measures; Spondylitis}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{RMD Open}},
  title        = {{Measuring quality of life of patients with axial spondyloarthritis for economic evaluation}},
  url          = {{http://dx.doi.org/10.1136/rmdopen-2021-001955}},
  doi          = {{10.1136/rmdopen-2021-001955}},
  volume       = {{8}},
  year         = {{2022}},
}