Towards standardized patient reported physical function outcome reporting: linking ten commonly used questionnaires to a common metric.
Oude Voshaar MAHDepartment of Psychology, Health and Technology, University of Twente, PO BOX 50 000, 7500 KA, Enschede, The Netherlands. A.H.Oudevoshaar@utwente.nl.
Vonkeman HEDepartment of Psychology, Health and Technology, University of Twente, PO BOX 50 000, 7500 KA, Enschede, The Netherlands.
Courvoisier DDivision of Rheumatology, University Hospitals of Geneva, Geneva, Switzerland.
Finckh ADivision of Rheumatology, University Hospitals of Geneva, Geneva, Switzerland.
Gossec LUPMC Univ Paris 06, GRC-UPMC 08, Paris, France.
Leung YYDepartment of Rheumatology and Immunology, Singapore General Hosptial, Singapore, Singapore.
Michaud KThe National Databank for Rheumatic Diseases, Wichita, KS and University of Nebraska Medical Center, Omaha, NE, USA.
Pinheiro GDiscipline of Rheumatology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Soriano ERheumatology Unit, Internal Medical Services, Hospital Italiano de Buenos Aires, and Instituto Universitario Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Wulfraat NWilhelmina Children's Hospital, Utrecht, The Netherlands.
Zink AGerman Rheumatism Research Centre, Epidemiology Unit, and Rheumatology and Clinical Immunology, Charité University Medicine Berlin, Berlin, Germany.
van de Laar MAFJDepartment of Psychology, Health and Technology, University of Twente, PO BOX 50 000, 7500 KA, Enschede, The Netherlands.
English
OBJECTIVES Outcomes obtained using different physical function patient reported outcome measures (PROMs) are difficult to compare. To facilitate standardization of physical function outcome measurement and reporting we developed an item response theory (IRT) based standardized physical function score metric for ten commonly used physical function PROMs.
METHODS Data of a total of 16,386 respondents from representative cohorts of patients with rheumatic diseases as well as the Dutch general population were used to map the items of ten commonly used physical function PROMs on a continuous latent physical function variable. The resulting IRT based common metric was cross-validated in an independent dataset of 243 patients with gout, osteoarthritis or polymyalgia in which four of the linked PROMs were administered.
RESULTS Our analyses supported that all 97 items of the ten included PROMs relate to a single underlying physical function variable and that responses to each item could be described by the generalized partial credit IRT model. In the cross-validation analyses we found congruent mean scores for four different PROMs when the IRT based scoring procedures were used.
CONCLUSIONS We showed that the standardized physical function score metric developed in this study can be used to facilitate standardized reporting of physical function outcomes for ten commonly used make physical function PROMs.