Literature DB >> 3773579

Weights for scoring the quality of well-being instrument among rheumatoid arthritics. A comparison to general population weights.

D J Balaban, P C Sagi, N I Goldfarb, S Nettler.   

Abstract

The importance of measuring health outcomes such as functional status and quality of life has increased with the greater emphasis on efficiency and on judgements of clinical effectiveness of therapies for patients with chronic disease. One measure of health status, the quality of well-being (QWB), has received significant attention as a health policy model because it quantifies health on a scale ranging from "zero" (death) to "one" (optimal health). The scale is based on weights (values) that were derived by having several thousand individuals in the general population rate scenarios in which a patient is described in terms of mobility, physical activity, social activity, and major symptom or problem. The present study was undertaken to determine if a disease-specific population composed of patients with moderate and moderately severe rheumatoid arthritis who were participating in a national multicenter trial of a new oral therapeutic agent, would rank scenarios similarly to the general population sample. In this study, close agreement was found between the weights obtained from the general population sample and the weights obtained from the sample of rheumatoid arthritic patients (R = 0.937). The investigators believe that the study supports the use of the original general population weights and suggest that the index may be used for populations with a specific condition as well as for general populations.

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Year:  1986        PMID: 3773579     DOI: 10.1097/00005650-198611000-00001

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  21 in total

Review 1.  A comparative review of generic quality-of-life instruments.

Authors:  S J Coons; S Rao; D L Keininger; R D Hays
Journal:  Pharmacoeconomics       Date:  2000-01       Impact factor: 4.981

2.  The influence of ill-health experience on the valuation of health.

Authors:  X Badia; M Herdman; P Kind
Journal:  Pharmacoeconomics       Date:  1998-06       Impact factor: 4.981

3.  Comparison of German language versions of the QWB-SA and SF-36 evaluating outcomes for patients with prostate disease.

Authors:  D Frosch; F Porzsolt; R Heicappell; K Kleinschmidt; M Schatz; S Weinknecht; R M Kaplan
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

4.  Health state preferences are equivalent in the United States and Trinidad and Tobago.

Authors:  Richard D Hector; John P Anderson; Rosemarie C P Paul; Robert E Weiss; Ron D Hays; Robert M Kaplan
Journal:  Qual Life Res       Date:  2010-03-17       Impact factor: 4.147

5.  Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients.

Authors:  David Feeny; Karen Spritzer; Ron D Hays; Honghu Liu; Theodore G Ganiats; Robert M Kaplan; Mari Palta; Dennis G Fryback
Journal:  Med Decis Making       Date:  2011-10-18       Impact factor: 2.583

6.  How do the EQ-5D, SF-6D and the well-being rating scale compare in patients with ankylosing spondylitis?

Authors:  Annelies Boonen; Désirée van der Heijde; Robert Landewé; Astrid van Tubergen; Herman Mielants; Maxime Dougados; Sjef van der Linden
Journal:  Ann Rheum Dis       Date:  2007-01-09       Impact factor: 19.103

Review 7.  Evaluation of quality of life for diverse patient populations.

Authors:  K R Yabroff; B P Linas; K Schulman
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

8.  The effect of assessment method and respondent population on utilities elicited for Gaucher disease.

Authors:  A E Clarke; M K Goldstein; D Michelson; A M Garber; L A Lenert
Journal:  Qual Life Res       Date:  1997-03       Impact factor: 4.147

9.  Psychometric properties of the EuroQol Five Dimensional Questionnaire (EQ-5D-3L) in caregivers of autistic children.

Authors:  Rahul Khanna; Krutika Jariwala; John P Bentley
Journal:  Qual Life Res       Date:  2013-04-25       Impact factor: 4.147

10.  Measuring quality of life with the sickness impact profile: a pilot study.

Authors:  R G Hulsebos; F W Beltman; D dos Reis Miranda; J F Spangenberg
Journal:  Intensive Care Med       Date:  1991       Impact factor: 17.440

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