Literature DB >> 11491197

The Health Utilities Index (HUI) system for assessing health-related quality of life in clinical studies.

W J Furlong1, D H Feeny, G W Torrance, R D Barr.   

Abstract

This paper reviews the Health Utilities Index (HUI) systems as means to describe health status and obtain utility scores reflecting health-related quality of life (HRQoL). The HUI Mark 2 (HUI2) and Mark 3 (HUI3) classification and scoring systems are described. The methods used to estimate multiattribute utility functions for HUI2 and HUI3 are reviewed. The use of HUI in clinical studies for a wide variety of conditions in a large number of countries is illustrated. HUI provides a comprehensive description of the health status of subjects in clinical studies. HUI has been shown to be a reliable, responsive and valid measure in a wide variety of clinical studies. Utility scores provide an overall assessment of the HRQoL of patients. Utility scores are also useful in cost-utility analyses and related studies. General population norm data are available. The widespread use of HUI facilitates the interpretation of results and permits comparisons. HUI is a useful tool for assessing health status and HRQoL in clinical studies.

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Year:  2001        PMID: 11491197     DOI: 10.3109/07853890109002092

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  206 in total

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Journal:  Qual Life Res       Date:  2011-12-10       Impact factor: 4.147

Review 2.  The development and use of quality-of-life measures to evaluate health outcomes in Japan.

Authors:  Shunichi Fukuhara; Naoki Ikegami; George W Torrance; Shuzo Nishimura; Michael Drummond; François Schubert
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

3.  Is the Health Utilities Index valid in total hip arthroplasty patients?

Authors:  Chris Blanchard; David Feeny; Jeffrey L Mahon; Robert Bourne; Cecil Rorabeck; Larry Stitt; Susan Webster-Bogaert
Journal:  Qual Life Res       Date:  2004-03       Impact factor: 4.147

4.  Predictors of health utility among 60-day survivors of acute kidney injury in the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study.

Authors:  Kirsten L Johansen; Mark W Smith; Mark L Unruh; Andrew M Siroka; Theresa Z O'Connor; Paul M Palevsky
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5.  Impact of country-specific EQ-5D-3L tariffs on the economic value of systemic therapies used in the treatment of metastatic pancreatic cancer.

Authors:  K Lien; V C Tam; Y J Ko; N Mittmann; M C Cheung; K K W Chan
Journal:  Curr Oncol       Date:  2015-12       Impact factor: 3.677

Review 6.  The humanistic and economic burden of juvenile idiopathic arthritis in the era of biologic medication.

Authors:  Wendy Gidman; Rachel Meacock; Deborah Symmons
Journal:  Curr Rheumatol Rep       Date:  2015-05       Impact factor: 4.592

7.  Missing content from health-related quality of life instruments: interviews with young adult survivors of childhood cancer.

Authors:  Gwendolyn P Quinn; I-Chan Huang; Devin Murphy; Katie Zidonik-Eddelton; Kevin R Krull
Journal:  Qual Life Res       Date:  2013-02       Impact factor: 4.147

8.  A Norwegian 15D value algorithm: proposing a new procedure to estimate 15D value algorithms.

Authors:  Yvonne Anne Michel; Liv Ariane Augestad; Mathias Barra; Kim Rand
Journal:  Qual Life Res       Date:  2018-11-30       Impact factor: 4.147

9.  US valuation of health outcomes measured using the PROMIS-29.

Authors:  Benjamin M Craig; Bryce B Reeve; Paul M Brown; David Cella; Ron D Hays; Joseph Lipscomb; A Simon Pickard; Dennis A Revicki
Journal:  Value Health       Date:  2014-12       Impact factor: 5.725

10.  Cost-utility analysis of cataract surgery in Japan: a probabilistic Markov modeling study.

Authors:  Yoshimune Hiratsuka; Masakazu Yamada; Yoko Akune; Akira Murakami; Annabelle A Okada; Hidetoshi Yamashita; Yuichi Ohashi; Naoya Yamagishi; Hiroshi Tamura; Shunichi Fukuhara; Tomoyuki Takura
Journal:  Jpn J Ophthalmol       Date:  2013-04-16       Impact factor: 2.447

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