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A Brief Version of the Quality of Life in Short Stature Youth Questionnaire - the QoLISSY-Brief

Author

Listed:
  • Anja C. Rohenkohl

    (University Medical Center Hamburg – Eppendorf)

  • Monika Bullinger

    (University Medical Center Hamburg – Eppendorf)

  • Andreas M. Pleil

    (Global Health & Value Pfizer, Inc)

  • Levente Kriston

    (University Medical Center Hamburg – Eppendorf)

  • Julia H. Quitmann

    (University Medical Center Hamburg – Eppendorf)

Abstract

The Quality of Life in Short Stature Youth (QoLISSY) questionnaire measures health-related quality of life (HrQoL) in short statured children (8–18 years) from patient and parent perspectives. To minimize respondent burden when assessing HrQoL in clinical practice, a brief version of the currently available 22-item QoLISSY is needed. The dataset of the European QoLISSY study (N = 268) was divided into two subdatasets at random, one to identify the items of the brief questionnaire and the other to test the operating characteristics (reliability and validity). Concept-based construction involved the selection of three items per Quality of Life (QoL)-dimension (physical, social, emotional) according to the highest corrected item-scale correlation. Psychometric properties were inspected in terms of reliability and validity supplemented by testing item fit statistics to examine item response theory (IRT) compliance. Cronbach’s alpha for the 9-item version was 0.89 for the patient- and the parent report. Pearson’s correlations with the generic KIDSCREEN questionnaire were low to moderate (children: r = 0.17–0.58; parents: r = 0.12–0.56). Shorter children reported significantly poorer QoL (mean difference 15.39 points; p

Suggested Citation

  • Anja C. Rohenkohl & Monika Bullinger & Andreas M. Pleil & Levente Kriston & Julia H. Quitmann, 2016. "A Brief Version of the Quality of Life in Short Stature Youth Questionnaire - the QoLISSY-Brief," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 971-984, December.
  • Handle: RePEc:spr:chinre:v:9:y:2016:i:4:d:10.1007_s12187-015-9350-2
    DOI: 10.1007/s12187-015-9350-2
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    References listed on IDEAS

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    2. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
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