Literature DB >> 16898846

A comparative review of health-related quality-of-life measures for use in HIV/AIDS clinical trials.

Darren J Clayson1, Diane J Wild, Paul Quarterman, Isabelle Duprat-Lomon, Maria Kubin, Stephen Joel Coons.   

Abstract

With the advent of highly active antiretroviral therapy (HAART), HIV-infected patients are living longer and are concerned not only with a treatment's ability to extend their life but also with the quality of the life they are able to lead. Regulatory authorities are also paying closer attention to the use of health-related quality-of-life (HR-QOL) measures in clinical trials and to the subsequent claims that are made based on the results. This paper reviews existing HR-QOL measures reported in the HIV/AIDS literature since 1990 and identifies those most worthy of consideration for use in future clinical trials.A comprehensive review following predefined selection criteria was conducted. Generic and HIV-targeted measures were assessed for content and practicality for the clinical trial setting. The generic measures were additionally reviewed for the ability to produce preference-based index scores and for the existence of normative general population data. Three generic and six HIV-targeted measures met these selection criteria and were then assessed more fully in terms of their development (HIV-targeted measures), psychometric properties and appropriateness for use in clinical trials.It was determined that each of the selected generic measures (i.e. Medical Outcomes Study [MOS] 36-Item Short Form Survey Instrument [SF-36], EQ-5D, Health Utilities Index [HUI]) could serve as a useful adjunct to an HIV-targeted measure in a trial. The Functional Assessment of HIV Infection (FAHI) and MOS-HIV health survey were deemed the two most appropriate HIV-targeted measures. Each of the measures can be self-administered in < or = 10 minutes and there was ample evidence of their excellent psychometric properties. However, they would not be optimal in all HIV-infected subgroups (e.g. treatment naive vs advanced; adolescents vs older adults) targeted for clinical trial interventions. Although there is no one best HR-QOL measure for use in HIV/AIDS clinical trials, based on our review criteria we identified three generic and two HIV-targeted candidate measures. However, these measures have their limitations and it is clear that greater consensus needs to develop regarding more effective and efficient approaches to HR-QOL measurement in HIV/AIDS clinical trials. Along with the increasingly complex HR-QOL measurement task resulting from changes in the HIV-infected population and shifts in the HR-QOL burden associated with HIV infection and its treatment over the past 25 years, it is increasingly important that HR-QOL outcomes become viable endpoints in HIV/AIDS clinical trials.

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Year:  2006        PMID: 16898846     DOI: 10.2165/00019053-200624080-00003

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  131 in total

Review 1.  EQ-5D: a measure of health status from the EuroQol Group.

Authors:  R Rabin; F de Charro
Journal:  Ann Med       Date:  2001-07       Impact factor: 4.709

2.  US valuation of the EQ-5D health states: development and testing of the D1 valuation model.

Authors:  James W Shaw; Jeffrey A Johnson; Stephen Joel Coons
Journal:  Med Care       Date:  2005-03       Impact factor: 2.983

Review 3.  Quality of life assessment and HIV infection: a review.

Authors:  P Vanhems; E Toma; R Pineault
Journal:  Eur J Epidemiol       Date:  1996-06       Impact factor: 8.082

4.  Health-related quality of life in asymptomatic patients with HIV. Evaluation of the SF-36 health survey in Italian patients.

Authors:  F Arpinelli; G Visonà; R Bruno; G De Carli; G Apolone
Journal:  Pharmacoeconomics       Date:  2000-07       Impact factor: 4.981

5.  Psychometric validation of the revised Functional Assessment of Human Immunodeficiency Virus Infection (FAHI) quality of life instrument.

Authors:  A H Peterman; D Cella; F Mo; N McCain
Journal:  Qual Life Res       Date:  1997-08       Impact factor: 4.147

6.  Performance of a new, HIV/AIDS-targeted quality of life (HAT-QoL) instrument in asymptomatic seropositive individuals.

Authors:  W C Holmes; J A Shea
Journal:  Qual Life Res       Date:  1997-08       Impact factor: 4.147

7.  Assessment of quality of life in early stage HIV-infected persons: data from the AIDS Time-oriented Health Outcome Study (ATHOS).

Authors:  D P Lubeck; J F Fries
Journal:  Qual Life Res       Date:  1997-08       Impact factor: 4.147

8.  The prospective effect of access to medical care on health-related quality-of-life outcomes in patients with symptomatic HIV disease.

Authors:  W E Cunningham; R D Hays; M K Ettl; W J Dixon; R C Liu; C K Beck; M F Shapiro
Journal:  Med Care       Date:  1998-03       Impact factor: 2.983

9.  The association of health-related quality of life with survival among persons with HIV infection in the United States.

Authors:  William E Cunningham; Stephen Crystal; Samuel Bozzette; Ron D Hays
Journal:  J Gen Intern Med       Date:  2005-01       Impact factor: 5.128

10.  Optimal clinical trial designs for immune-based therapies in persistent viral infections.

Authors:  Kendall A Smith
Journal:  Med Immunol       Date:  2002-11-21
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  57 in total

1.  Validation of the medical outcomes study HIV (MOS-HIV) health survey among HIV-infected patients in Taiwan.

Authors:  Ping-Chuan Hsiung; Chi-Tai Fang; Keng-Lin Lee; Wang-Huei Sheng; Chia-Yun Wu; Jung-Der Wang; Grace Yao
Journal:  Qual Life Res       Date:  2010-08-29       Impact factor: 4.147

2.  Psychometric evaluation of the functional assessment of HIV Infection (FAHI) questionnaire and its usefulness in clinical trials.

Authors:  Muriel Viala-Danten; Dominique Dubois; Hélène Gilet; Silas Martin; Katrien Peeters; David Cella
Journal:  Qual Life Res       Date:  2010-05-28       Impact factor: 4.147

3.  Reliability and validity of the Functional Assessment of Human Immunodeficiency Virus Infection (FAHI) in patients with drug and alcohol use disorders.

Authors:  Shannon Byrne; Nancy M Petry
Journal:  AIDS Care       Date:  2012-05-30

Review 4.  Technology-Mediated Interventions and Quality of Life for Persons Living with HIV/AIDS. A Systematic Review.

Authors:  Hwayoung Cho; Sarah Iribarren; Rebecca Schnall
Journal:  Appl Clin Inform       Date:  2017-04-12       Impact factor: 2.342

Review 5.  Evaluation of the methodological quality of systematic reviews of health status measurement instruments.

Authors:  Lidwine B Mokkink; Caroline B Terwee; Paul W Stratford; Jordi Alonso; Donald L Patrick; Ingrid Riphagen; Dirk L Knol; Lex M Bouter; Henrica C W de Vet
Journal:  Qual Life Res       Date:  2009-02-24       Impact factor: 4.147

6.  Felt Age Discrepancy Differs by HIV Serostatus: A Secondary Analysis.

Authors:  Maulika Kohli; Lily Kamalyan; Elizabeth C Pasipanodya; Anya Umlauf; Raeanne C Moore; Scott L Letendre; Dilip V Jeste; David J Moore
Journal:  J Assoc Nurses AIDS Care       Date:  2020 Sep-Oct       Impact factor: 1.354

Review 7.  A Review of HIV-Specific Patient-Reported Outcome Measures.

Authors:  Kim Engler; David Lessard; Bertrand Lebouché
Journal:  Patient       Date:  2017-04       Impact factor: 3.883

8.  The concurrent validity and responsiveness of the health utilities index (HUI 3) among patients with advanced HIV/AIDS.

Authors:  Bohdan Nosyk; Huiying Sun; Nick Bansback; Daphne P Guh; Xin Li; Paul Barnett; Ahmed Bayoumi; Susan Griffin; Vilija Joyce; Mark Holodniy; Doug K Owens; Aslam H Anis
Journal:  Qual Life Res       Date:  2009-06-27       Impact factor: 4.147

9.  Quality of life among South African patients receiving antiretroviral therapy in the Western Cape Province.

Authors:  Ashraf Kagee; Bronwynè Coetzee; Henry Steel
Journal:  S Afr J Psychol       Date:  2016-01-11

Review 10.  Exercise therapy for human immunodeficiency virus/AIDS patients: Guidelines for clinical exercise therapists.

Authors:  Jeanne M Grace; Stuart J Semple; Susan Combrink
Journal:  J Exerc Sci Fit       Date:  2015-01-29       Impact factor: 3.103

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