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Comparing directly measured standard gamble scores to HUI2 and HUI3 utility scores: group- and individual-level comparisons

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  • Feeny, David
  • Furlong, William
  • Saigal, Saroj
  • Sun, Jian

Abstract

Directly measured standard gamble (SG) utility scores reflect the respondent's assessment and valuation of their own health status. Scores from the health utilities index (HUI) are based on self-assessed health status but valued using community preferences obtained using the SG. Our objectives were to find if mean directly measured utility scores agree with mean HUI mark 2 (HUI2) and mean HUI mark 3 (HUI3) scores. Also, if individual directly measured utility scores agree with HUI2 and HUI3 scores, and whether HUI2 and HUI3 scores agree. Questionnaires based on the HUI2 and HUI3 health-status classification systems were administered by interviewers to 140 teenage survivors of extremely low birthweight (ELBW) and 124 control group teens. Respondents were asked to think about their own usual health states using six dimensions from HUI2 and value that state using the SG. Mean SG scores are compared with mean HUI2 and mean HUI3 scores using paired sample t-tests. Mean HUI2 scores are compared with mean HUI3 scores. Agreement among scores is assessed using intra-class correlation coefficient (ICC). The effect of severity of health-state morbidity on agreement was assessed using three approaches. ELBW cohort mean (standard deviation) SG, HUI2, and HUI3 scores were 0.90 (0.20), 0.89 (0.14), and 0.80 (0.22). Results for controls were 0.93 (0.11), 0.95 (0.09), and 0.89 (0.13). Mean SG and HUI2 scores did not differ; mean SG and HUI3 did differ; mean HUI2 and HUI3 also differed. At the individual level for ELBW, the ICCs between SG and HUI2, SG and HUI3, and HUI2 and HUI3 scores were 0.13, 0.28, and 0.64. For controls the ICCs were 0.14, 0.24, and 0.56. HUI2 scores appear to match directly measured utility scores reasonably well at the group level. HUI2 and HUI3 scores differ systematically. At the individual level, however, HUI2 and HUI3 scores are poor substitutes for directly measured scores.

Suggested Citation

  • Feeny, David & Furlong, William & Saigal, Saroj & Sun, Jian, 2004. "Comparing directly measured standard gamble scores to HUI2 and HUI3 utility scores: group- and individual-level comparisons," Social Science & Medicine, Elsevier, vol. 58(4), pages 799-809, February.
  • Handle: RePEc:eee:socmed:v:58:y:2004:i:4:p:799-809
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    Citations

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    Cited by:

    1. Gillian A. Lancaster, 2009. "Statistical issues in the assessment of health outcomes in children: a methodological review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 707-727, October.
    2. Asakawa, Keiko & Feeny, David & Senthilselvan, Ambikaipakan & Johnson, Jeffrey A. & Rolfson, Darryl, 2009. "Do the determinants of health differ between people living in the community and in institutions?," Social Science & Medicine, Elsevier, vol. 69(3), pages 345-353, August.
    3. Vilija R. Joyce & Paul G. Barnett & Adam Chow & Ahmed M. Bayoumi & Susan C. Griffin & Huiying Sun & Mark Holodniy & Sheldon T. Brown & Tassos C. Kyriakides & D. William Cameron & Mike Youle & Mark Scu, 2012. "Effect of Treatment Interruption and Intensification of Antiretroviral Therapy on Health-Related Quality of Life in Patients with Advanced HIV," Medical Decision Making, , vol. 32(1), pages 70-82, January.
    4. Musal, R. Muzaffer & Soyer, Refik & McCabe, Christopher & Kharroubi, Samer A., 2012. "Estimating the population utility function: A parametric Bayesian approach," European Journal of Operational Research, Elsevier, vol. 218(2), pages 538-547.
    5. Stavros Petrou & Natnaree Krabuanrat & Kamran Khan, 2020. "Preference-Based Health-Related Quality of Life Outcomes Associated with Preterm Birth: A Systematic Review and Meta-analysis," PharmacoEconomics, Springer, vol. 38(4), pages 357-373, April.
    6. Rachel Lee-Yin Tan & Sonia Zhi Yi Soh & Le Ann Chen & Michael Herdman & Nan Luo, 2023. "Psychometric Properties of Generic Preference-Weighted Measures for Children and Adolescents: A Systematic Review," PharmacoEconomics, Springer, vol. 41(2), pages 155-174, February.
    7. Huguet, Nathalie & Kaplan, Mark S. & Feeny, David, 2008. "Socioeconomic status and health-related quality of life among elderly people: Results from the Joint Canada/United States Survey of Health," Social Science & Medicine, Elsevier, vol. 66(4), pages 803-810, February.
    8. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    9. Gang Chen & Julie Ratcliffe, 2015. "A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations," PharmacoEconomics, Springer, vol. 33(10), pages 1013-1028, October.
    10. J. Tilford & Nalin Payakachat & Erica Kovacs & Jeffrey Pyne & Werner Brouwer & Todd Nick & Jayne Bellando & Karen Kuhlthau, 2012. "Preference-Based Health-Related Quality-of-Life Outcomes in Children with Autism Spectrum Disorders," PharmacoEconomics, Springer, vol. 30(8), pages 661-679, August.

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