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Erschienen in: Quality of Life Research 9/2013

01.11.2013

Development and psychometric properties of the PROMIS® pediatric fatigue item banks

verfasst von: Jin-Shei Lai, Brian D. Stucky, David Thissen, James W. Varni, Esi Morgan DeWitt, Debra E. Irwin, Karin B. Yeatts, Darren A. DeWalt

Erschienen in: Quality of Life Research | Ausgabe 9/2013

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Abstract

Purpose

This paper reports on the development and psychometric properties of self-reported pediatric fatigue item banks as part of the Patient-Reported Outcomes Measurement Information System (PROMIS).

Methods

Candidate items were developed by using PROMIS qualitative methodology. The resulting 39 items (25 tiredness related and 14 energy related) were field tested in a sample that included 3,048 participants aged 8–17 years. We used confirmatory factor analysis (CFA) to evaluate dimensionality and differential item functioning (DIF) analysis to evaluate parameter stability between genders and by age; we examined residual correlations to evaluate local dependence (LD) among items and estimated the parameters of item response theory (IRT) models.

Results

Of 3,048 participants, 48 % were males, 60 % were white, and 23 % had at least one chronic condition. CFA results suggest two moderately correlated factors. Two items were removed due to high LD, and three due to gender-based DIF. Two item banks were calibrated separately using IRT: Tired and (Lack of) Energy, which consisted of 23 and 11 items, respectively; 10- and 8-item short-forms were created.

Conclusion

The PROMIS assessment of self-reported fatigue in pediatrics includes two item banks: Tired and (Lack of) Energy. Both demonstrated satisfactory psychometric properties and can be used for research settings.

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Metadaten
Titel
Development and psychometric properties of the PROMIS® pediatric fatigue item banks
verfasst von
Jin-Shei Lai
Brian D. Stucky
David Thissen
James W. Varni
Esi Morgan DeWitt
Debra E. Irwin
Karin B. Yeatts
Darren A. DeWalt
Publikationsdatum
01.11.2013
Verlag
Springer Netherlands
Erschienen in
Quality of Life Research / Ausgabe 9/2013
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-013-0357-1

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