Comparison of 5 Health-Related Quality-of-Life Indexes Using Item Response Theory Analysis

Abstract

Background-Five health-related quality-of-life (HRQoL) indexes-EQ-5D, HUI2, HUI3, QWB-SA, and SF-6D-are each used to assign community-based utility scores to health states, although these scores differ.

Health state utility instruments compared: inquiring into nonlinearity across EQ-5D-5L, SF-6D, HUI-3 and 15D

“…These findings corroborate with other studies that have indicated non-linear relationships across HSU-instruments [8,9,11]. Scaling effect could be key factor to explain the observed nonlinear relationship [3,20].…”

“…Crosswalks or 'mappings' between a disease specific instrument and a HSU-instruments are commonly used to enable QALY estimations [6,7]. However, while such crosswalks between HSU-instruments are rare [8][9][10][11], previous studies have indicated non-linear relationships [8,9,11]. By the use of item response analysis, Fryback and colleagues investigated the interrelationship of five instruments (EQ-5D-3L, HUI2, HUI3, QWB-SA, SF-6D) in a sample of US adults (N=3844).…”

“…They concluded that 'simple linear functions may serve as crosswalks among these indexes only for lower health states albeit with low precision. Ceiling effects make crosswalks among most of the indexes ill specified above a certain level of health' [9]. Responses from two HSU-instruments, EQ-5D-3L and SF-6D (converted from SF-36) were compared in a sample of patients with coronary heart disease (N=1493) using quantile regression.…”

Jeopardizing Validity by Mismeasurement of Quality of Life

“…A weaker association was found compared to results in Australia (reflecting the use of only general population respondents). Overall, 53% of instrument variance was not explained 7 .…”

Utility of a goodness-of-fit index for the graded response model with small sample sizes : a Monte Carlo investigation.

“…While Drasgow and colleagues developed this approach in the context of largescale educational testing applications (N) 10,000), others have recently used the X2/dj ratio index of model fit in studies examining such diverse issues as health-related quality of life (Fryback, Palta, Cherepanov, Bolt, & Kim, 2010); attention-deficit hyperactivity disorder in children (Gomez, 2008); cultural equivalence of measures of depression (Kim, Chiriboga, & Jang, 2009); forensic psychopathy (Bolt, Hare, & Neumann, 2007); spiritual wellbeing (Gomez & Fisher, 2005); business leadership (Zagorsek, Stough, & Jaklic, 2006); financial risk-taking (Lampenius & Zickar, 2005); emotional intelligence (Cooper & Petrides, 2010); sexual harassment in the military (Estrada, Probst, Brown, & Graso, 2011;Stark, Chernyshenko, Lancaster, Drasgow, & Fitzgerald, 2002); military attrition (Stark, Chernyshenko, Drasgow, Lee, White, & Young, 2011); and personality assessment (Chernyshenko, Stark, Chan, Drasgow, & Williams, 2001;Maydeu-Olivares, 2005;Robie, Zickar, & Schmit, 2001;Schmidt, Kihm, & Robie, 2000;Zickar & Drasgow, 1996). Sample sizes in these investigations ranged from under 300 (Lampenius & Zickar, 2005) to nearly 72,000 (Estrada et aI., 2011), illustrating the multitude of settings and designs characterizing current applied research utilizing IRT methods.…”