Refining scores based on patient reported outcomes - statistical and medical perspectives
Patient Reported Outcomes (PRO) are gaining more and more importance in the context of clinical trials. The assessment of PRO is frequently performed by questionnaires where the multiple items of a questionnaire are usually pooled within summarizing scores. These scores are used as variables to meas...
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| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
31 July 2019
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| In: |
BMC medical research methodology
Year: 2019, Jahrgang: 19 |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-019-0806-9 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12874-019-0806-9
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| Verfasserangaben: | Manuel Feißt, André Hennigs, Jörg Heil, Helfried Moosbrugger, Augustin Kelava, Ilona Stolpner, Meinhard Kieser and Geraldine Rauch |
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| 520 | |a Patient Reported Outcomes (PRO) are gaining more and more importance in the context of clinical trials. The assessment of PRO is frequently performed by questionnaires where the multiple items of a questionnaire are usually pooled within summarizing scores. These scores are used as variables to measure subjective aspects of treatments and diseases. In clinical research, the calculation of these scores is mostly kept very simple, e.g. by a simple summation of item values. In the medical literature, there is hardly any guidance for performing a refinements of questionnaires and for deducing adequate scores. In contrast, in psychometric literature, there are plenty of more sophisticated methods, which overcome typical assumptions made in traditional (sum) scores, however to the prize of more complicated algorithms, which might be difficult to communicate. When faced with the practical task to refine an existing questionnaire, there exist a clear gap of guidance for applied medical researchers. By this article we try to fill this important gap between psychometric theory and medical application by illustrating our methodological choices on the example of a clinical PRO questionnaire. | ||
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