The Health Utilities Index (HUI): Concepts, Measurement Properties and Applications

Health Utilities Inc, Dundas, ON, Canada.
Health and Quality of Life Outcomes (Impact Factor: 2.12). 02/2003; 1(1):54. DOI: 10.1186/1477-7525-1-54
Source: PubMed


This is a review of the Health Utilities Index (HUI) multi-attribute health-status classification systems, and single- and multi-attribute utility scoring systems. HUI refers to both HUI Mark 2 (HUI2) and HUI Mark 3 (HUI3) instruments. The classification systems provide compact but comprehensive frameworks within which to describe health status. The multi-attribute utility functions provide all the information required to calculate single-summary scores of health-related quality of life (HRQL) for each health state defined by the classification systems. The use of HUI in clinical studies for a wide variety of conditions in a large number of countries is illustrated. HUI provides comprehensive, reliable, responsive and valid measures of health status and HRQL for subjects in clinical studies. Utility scores of overall HRQL for patients are also used in cost-utility and cost-effectiveness analyses. Population norm data are available from numerous large general population surveys. The widespread use of HUI facilitates the interpretation of results and permits comparisons of disease and treatment outcomes, and comparisons of long-term sequelae at the local, national and international levels.

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    • "Three measures of functioning were included in the study, including measures of cognitive impairment , speech trouble and mobility limitations. These measures are derived from the Health Utility Index (HUI, Horsman et al. 2003). Cognitive impairment is measured on a scale ranging from 1 = 'no cognitive issues' to 6 = 'unable to remember or unable to think or solve problems'. "
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    ABSTRACT: ABSTRACT Surprisingly little population-based data exist on the marriage and relationship patterns of disabled women. This study investigated the formation and dissolution of marriage and common-law relationships involving disabled women in Canada. A secondary data analysis of the 2009 Canadian Community Health Survey was undertaken. The effective sample size for the study was 41,650 women, 18–59 years, including 9450 disabled women. The findings suggest that disabled women in Canada are less likely to be married or in a cohabiting relationship, although it appears that most will marry at some point. Among disabled women, those with early onset conditions, cognitive impairment, mobility limitations and lower levels of educational attainment are more likely to remain single, that is, never having entered into a cohabiting relationship. A plausible explanation for the observed differences in marital status is that disabled women have less opportunity to meet potential partners and form lasting cohabiting relationships. To link to this article:
    Full-text · Article · Sep 2015 · Scandinavian Journal of Disability Research
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    • "Each participant completed questionnaires at three visits over two years (baseline, year one, and year two). These included a generic multi-attribute utility measure of health-related quality of life: the Health Utilities Index (HUI, Mark III version) (Horsman et al., 2003), an alcohol dependence measure (assessed by the 4-item CAGE (Cutting down, Annoyance by Criticism, Guilty Feeling , Eye-Openers) (Mayfield et al., 1974), and a validated comorbidity questionnaire capturing physical and psychiatric comorbidities (such as diabetes and depression), including comorbidities that could be considered secondary to MS (i.e. a consequence of having MS, such as osteoporosis) (Horton et al., 2010). The examined comorbidities were depression, hypertension, migraine , hyperlipidemia, anxiety, chronic obstructive pulmonary disease (COPD), irritable bowel syndrome (IBS), autoimmune thyroid disease, osteoporosis, cataracts, diabetes, rheumatoid arthritis , fibromyalgia, heart disease, inflammatory bowel disease (IBD), glaucoma, bipolar disorder, seizure disorder, peripheral vascular disease, lupus, and psychosis. "
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    Preview · Article · Sep 2015
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    • "We could not include these measures at the time this study began, as they were not available for public use. Initial evidence suggests sufficient construct validity with the HUI3 to warrant its use in mapping exercises predicting QALY gains [Horsman, Fulong, Feeny, & Torrance, 2003]. However, it should also be pointed out that QALYs pertain to health-related utility only. "
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    ABSTRACT: Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N = 224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation = 3.5) years. Almost half of the children (47%) had cognitive impairment (IQ ≤ 70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions. Autism Res 2014, ●●: ●●–●●. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.
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