Replication and validation of higher order models demonstrated that a summary score for the EORTC QLQ-C30 is robust

Johannes M Giesinger, Jacobien M Kieffer, Peter M Fayers, Mogens Groenvold, Morten Aa Petersen, Neil W Scott, Mirjam A G Sprangers, Galina Velikova, Neil K Aaronson, EORTC Quality of Life Group

    335 Citationer (Scopus)

    Abstract

    OBJECTIVE: To further evaluate the higher order measurement structure of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30), with the aim of generating a summary score.

    STUDY DESIGN AND SETTING: Using pretreatment QLQ-C30 data (N = 3,282), we conducted confirmatory factor analyses to test seven previously evaluated higher order models. We compared the summary score(s) derived from the best performing higher order model with the original QLQ-C30 scale scores, using tumor stage, performance status, and change over time (N = 244) as grouping variables.

    RESULTS: Although all models showed acceptable fit, we continued in the interest of parsimony with known-groups validity and responsiveness analyses using a summary score derived from the single higher order factor model. The validity and responsiveness of this QLQ-C30 summary score was equal to, and in many cases superior to the original, underlying QLQ-C30 scale scores.

    CONCLUSION: Our results provide empirical support for a measurement model for the QLQ-C30 yielding a single summary score. The availability of this summary score can avoid problems with potential type I errors that arise because of multiple testing when making comparisons based on the 15 outcomes generated by this questionnaire and may reduce sample size requirements for health-related quality of life studies using the QLQ-C30 questionnaire when an overall summary score is a relevant primary outcome.

    OriginalsprogEngelsk
    TidsskriftJournal of Clinical Epidemiology
    Sider (fra-til)79-88
    Antal sider10
    ISSN0895-4356
    DOI
    StatusUdgivet - jan. 2016

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