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Mapping Quality of Life (EQ-5D) from DAPsA, Clinical DAPsA and HAQ in Psoriatic Arthritis

Author

Listed:
  • Tomas Mlcoch

    (Institute of Health Economics and Technology Assessment)

  • Jan Tuzil

    (Institute of Health Economics and Technology Assessment)

  • Liliana Sedova

    (Institute of Rheumatology
    Charles University in Prague)

  • Jiri Stolfa

    (Institute of Rheumatology
    Charles University in Prague)

  • Monika Urbanova

    (Institute of Rheumatology)

  • David Suchy

    (University Hospital Plzen)

  • Andrea Smrzova

    (University Hospital Olomouc)

  • Jitka Jircikova

    (Institute of Health Economics and Technology Assessment)

  • Tereza Hrnciarova

    (Institute of Health Economics and Technology Assessment)

  • Karel Pavelka

    (Institute of Rheumatology)

  • Tomas Dolezal

    (Institute of Health Economics and Technology Assessment)

Abstract

Background Clinical trials and observational studies lacking measures of health-related quality of life (QoL) are often inapplicable when conducting cost-effectiveness analyses using quality-adjusted life-years (QALYs). The only solution is to map QoL ex post from additionally collected clinical outcomes and generic QoL instruments. Nonetheless, mapping studies are absent in psoriatic arthritis (PsA). Methods In this 2-year, prospective, multicentre, non-interventional study of PsA patients, EQ-5D and key clinical parameters such as Disease Activity in PsA (DAPsA), clinical DAPsA (cDAPsA; DAPsA without C-reactive protein [CRP]), and Health Assessment Questionnaire disability index (HAQ) were collected. We employed a linear mixed-effect regression model (ME) of the longitudinal dataset to explore the best predictors of QoL. Results A total of 228 patients were followed over 873 appointments/observations. DAPsA, cDAPsA and HAQ were stable and highly significant predictors of EQ-5D utilities in both cross-sectional and longitudinal analyses. The best prediction was provided using a linear ME with HAQ and cDAPsA or DAPsA. A HAQ increase of 1 point represented a decrease in EQ-5D by −0.204 or −0.203 (p

Suggested Citation

  • Tomas Mlcoch & Jan Tuzil & Liliana Sedova & Jiri Stolfa & Monika Urbanova & David Suchy & Andrea Smrzova & Jitka Jircikova & Tereza Hrnciarova & Karel Pavelka & Tomas Dolezal, 2018. "Mapping Quality of Life (EQ-5D) from DAPsA, Clinical DAPsA and HAQ in Psoriatic Arthritis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(3), pages 329-340, June.
    • Handle: RePEc:spr:patien:v:11:y:2018:i:3:d:10.1007_s40271-017-0285-1
    DOI: 10.1007/s40271-017-0285-1
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    Cited by:

    1. Clara Mukuria & Donna Rowen & Sue Harnan & Andrew Rawdin & Ruth Wong & Roberta Ara & John Brazier, 2019. "An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values," Applied Health Economics and Health Policy, Springer, vol. 17(3), pages 295-313, June.

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