Literature DB >> 15049396

Association between preference-based health-related quality of life and asthma severity.

Marilyn L Moy1, Anne L Fuhlbrigge, Karen Blumenschein, Richard H Chapman, Alan J Zillich, Karen M Kuntz, A David Paltiel, Barrett T Kitch, Scott T Weiss, Peter J Neumann.   

Abstract

BACKGROUND: Preference-based measures of health-related quality of life (HRQL) focus on choice and strength of preference for health outcomes. If the value people attach to the health improvement they receive from medical treatments for asthma is known, preference-based measures can be used in cost-effectiveness analyses to aid resource allocation decisions. International guidelines have been developed to guide medical management according to asthma severity defined by lung function and symptom frequency.
OBJECTIVE: To test the hypothesis that preferences correlate with asthma severity and that the relationships vary among the preference instruments used and the components of asthma severity studied.
METHODS: Preferences for subjects' health states were measured using (1) a rating scale (RS), (2) standard gamble (SG), (3) time tradeoff (TTO), (4) Health Utilities Index 3 (HUI3), and (5) Asthma Symptom Utility Index (ASUI). We measured level of airways obstruction by forced expiratory volume in 1 second (FEV1) and symptom frequency of cough, wheeze, dyspnea, and nighttime awakening. Asthma severity was defined by either percentage of predicted FEV1 or symptom frequency.
RESULTS: One hundred adults with asthma were studied. Preference scores were lowest for the HUI3 (mean, 0.57) and highest for the SG (mean, 0.91). Spearman correlations showed that the strength of the relationship between preference scores and percentage of predicted FEV1 was weak to moderate (r = 0.14-0.36). One-way analysis of variance showed that RS, TTO, and ASUI scores were significantly associated with the percentage of predicted FEV1 (P < or = .01). Both RS and HUI3 scores were significantly associated with frequency of all symptoms (P < .05).
CONCLUSIONS: Preference-based measures of HRQL are correlated with asthma severity defined by lung function or symptoms. The RS was significantly associated with level of airways obstruction and all 4 symptoms evaluated, whereas the SG was not correlated with either marker of asthma severity.

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Year:  2004        PMID: 15049396     DOI: 10.1016/S1081-1206(10)61570-0

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


  10 in total

1.  Negative mood and quality of life in patients with asthma.

Authors:  Aydanur Ekici; Mehmet Ekici; Turkan Kara; Hatice Keles; Pinar Kocyigit
Journal:  Qual Life Res       Date:  2006-02       Impact factor: 4.147

2.  Mapping Between the Sydney Asthma Quality of Life Questionnaire (AQLQ-S) and Five Multi-Attribute Utility Instruments (MAUIs).

Authors:  Billingsley Kaambwa; Gang Chen; Julie Ratcliffe; Angelo Iezzi; Aimee Maxwell; Jeff Richardson
Journal:  Pharmacoeconomics       Date:  2017-01       Impact factor: 4.981

3.  Pharmacogenomic test that predicts response to inhaled corticosteroids in adults with asthma likely to be cost-saving.

Authors:  Ann Chen Wu; Charlene Gay; Melisa D Rett; Natasha Stout; Scott T Weiss; Anne L Fuhlbrigge
Journal:  Pharmacogenomics       Date:  2015-04-16       Impact factor: 2.533

4.  Measurement of utility in asthma: evidence indicating that generic instruments may miss clinically important changes.

Authors:  Patrick W Sullivan; Vahram H Ghushchyan; Jonathan D Campbell; Gary Globe; Bruce Bender; David J Magid
Journal:  Qual Life Res       Date:  2016-07-07       Impact factor: 4.147

5.  The validity of generic and condition-specific preference-based instruments: the ability to discriminate asthma control status.

Authors:  Helen M McTaggart-Cowan; Carlo A Marra; Yaling Yang; John E Brazier; Jacek A Kopec; J Mark FitzGerald; Aslam H Anis; Larry D Lynd
Journal:  Qual Life Res       Date:  2008-02-15       Impact factor: 4.147

6.  Cost-effectiveness of omalizumab in adults with severe asthma: results from the Asthma Policy Model.

Authors:  Ann C Wu; A David Paltiel; Karen M Kuntz; Scott T Weiss; Anne L Fuhlbrigge
Journal:  J Allergy Clin Immunol       Date:  2007-09-29       Impact factor: 10.793

Review 7.  A review of health utilities across conditions common in paediatric and adult populations.

Authors:  Jean-Eric Tarride; Natasha Burke; Matthias Bischof; Robert B Hopkins; Linda Goeree; Kaitryn Campbell; Feng Xie; Daria O'Reilly; Ron Goeree
Journal:  Health Qual Life Outcomes       Date:  2010-01-27       Impact factor: 3.186

8.  EuroQol (EQ-5D-5L) Validity in Assessing the Quality of Life in Adults With Asthma: Cross-Sectional Study.

Authors:  Olatz Garin; Gimena Hernandez; Alexandra L Dima; Angels Pont; Marc Martí Pastor; Jordi Alonso; Eric Van Ganse; Laurent Laforest; Marijn de Bruin; Karina Mayoral; Vicky Serra-Sutton; Montse Ferrer
Journal:  J Med Internet Res       Date:  2019-01-23       Impact factor: 5.428

9.  Effect of high dose inhaled glucocorticoids on quality of life in patients with moderate to severe asthma.

Authors:  Jae-Sung Choi; An-Soo Jang; June-Hyuk Lee; Jong-Sook Park; Sung-Woo Park; Do-Jin Kim; Choon-Sik Park
Journal:  J Korean Med Sci       Date:  2005-08       Impact factor: 2.153

10.  What do parents want from their child's asthma treatment?

Authors:  Stefan Walzer
Journal:  Ther Clin Risk Manag       Date:  2007-03       Impact factor: 2.423

  10 in total

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