Efficient assessment of the most important symptoms in advanced prostate cancer: the NCCN/FACT-P Symptom Index
Background: Owing to the spectrum of symptoms, side effects, and concerns in clinically advanced prostate cancer (PC), effective symptom assessment is imperative. In line with recent regulatory guidance on the development of patient‐reported outcomes, we undertook a multistep/multistudy approach to...
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Published in | Psycho-oncology (Chichester, England) Vol. 20; no. 9; pp. 977 - 983 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.09.2011
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Background: Owing to the spectrum of symptoms, side effects, and concerns in clinically advanced prostate cancer (PC), effective symptom assessment is imperative. In line with recent regulatory guidance on the development of patient‐reported outcomes, we undertook a multistep/multistudy approach to develop and test a new symptom index (NCCN FACT‐Prostate Symptom Index‐17 that can be used to examine the effectiveness of noncurative treatments in advanced PC.
Methods: This included significant input from two waves of expert medical providers (n=66 and 11, respectively) and two waves of patient engagement and testing (n=50 and 24, respectively). The resulting 17‐item symptom index for advanced PC was then divided into sets or categories based on whether the symptoms are predominantly disease or treatment related.
Results: Preliminary reliability estimates suggest good internal consistency (α=0.86) and relationships with expected outside validity criteria are moderate to strong.
Conclusions: This new tool may help clinicians and researchers quickly target and measure important symptoms and concerns in advanced PC, leading to increased knowledge of treatment effectiveness of noncurative therapies and improvements in the quality of patient care. Copyright © 2010 John Wiley & Sons, Ltd. |
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Bibliography: | istex:DBBC2D9F4166E6290C49B50931CAA2EF3CC63ADC ark:/67375/WNG-KK8H8XM9-2 ArticleID:PON1817 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1057-9249 1099-1611 |
DOI: | 10.1002/pon.1817 |