A brief symptom index for advanced lung cancer
- PMID: 21729652
- PMCID: PMC4486486
- DOI: 10.1016/j.cllc.2011.03.033
A brief symptom index for advanced lung cancer
Abstract
Background: Advanced lung cancer is often symptomatic; thus the goals of treatment include maintenance of function and palliation of symptoms. Symptom management requires accurate systematic symptom assessment. This study, which focused on lung cancer, is part of a larger study to obtain patient input that, in combination with previously obtained physician and nurse input, was used to develop symptom indexes for 11 advanced cancers.
Participants and methods: Fifty patients with advanced lung cancer were recruited from National Comprehensive Cancer Network (NCCN) member institutions and community support agencies; 10 physician experts were recruited from NCCN institutions. Patients reported symptoms associated with their disease in open-ended format and then completed a checklist of symptoms, rating their 5 most important symptoms. Patient and provider ratings of symptom importance were tabulated to construct the NCCN-Functional Assessment of Cancer Therapy (FACT) Lung Symptom Index-17 (NFLSI-17). Patients also completed the Functional Assessment of Cancer Therapy-Lung (FACT-L), which was used to preliminarily validate the NFLSI-17.
Results: Based on combined patient, physician, and nurse input, the NFLSI-17 is composed of 17 priority symptoms, 11 that are disease related, 3 that are treatment related, and 3 that are related to general functional well-being (FWB). Data on 15 of 17 NFLSI-17 symptoms showed good internal consistency (alpha = 0.74) and strong association with the FACT-L total and most subscale scores (r = 0.42-0.92). Both the NFLSI-15 (F(2,47) = 4.46; P = .017) and the NFLSI-disease related subscale (DRS) (F(2,47) = 5.56; P = .007) significantly discriminated patients among performance status groups.
Conclusion: The NFLSI-17 reflects the most important patient- and clinician-rated targets of chemotherapy for advanced lung cancer; further validation will follow.
Copyright © 2012 Elsevier Inc. All rights reserved.
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