Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10437
Title: The Functional Living Index-Cancer: estimating its reliability based on clinical trial data
Authors: LAENEN, Annouschka 
ALONSO ABAD, Ariel 
Issue Date: 2010
Publisher: SPRINGER
Source: QUALITY OF LIFE RESEARCH, 19 (1). p. 103-109
Abstract: The Functional Living Index-Cancer was developed to measure quality of life in cancer trials as an adjunct to the usual clinical outcomes. The scale is considered conceptually good, since it covers a broad range of relevant aspects of quality of life, but the main criticism has been that its reliability has never been properly investigated. In this paper, we investigate the reliability of the FLIC. We apply a new methodology based on linear mixed models that allows estimating reliability from real clinical data. The reliability of the FLIC is estimated using data coming from a longitudinal study in breast cancer. With this new approach, we avoid the need for additional data collection on which classical reliability studies are based. The average reliability of the FLIC over the repeated measurements is satisfactory, even though the initial measurement in the study showed a somewhat lower value. Taking into account the longitudinal character of the measurements, we show that highly reliable information can be obtained with a relatively small number of measurements per patient. The FLIC provides reliable quality of life measurements in patients with breast cancer. Additional studies would be welcome to validate these results in other populations.
Notes: [Laenen, Annouschka; Alonso, Ariel] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. annouschka.laenen@uhasselt.be
Keywords: FLIC; Reliability; Clinical trial; Longitudinal data;FLIC; Reliability; Clinical trial; Longitudinal data
Document URI: http://hdl.handle.net/1942/10437
ISSN: 0962-9343
e-ISSN: 1573-2649
DOI: 10.1007/s11136-009-9568-x
ISI #: 000273560800012
Category: A1
Type: Journal Contribution
Validations: ecoom 2011
Appears in Collections:Research publications

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