Literature DB >> 3545580

Measurement of quality of life in end-stage renal disease: the time trade-off approach.

D N Churchill, G W Torrance, D W Taylor, C C Barnes, D Ludwin, A Shimizu, E K Smith.   

Abstract

The quality of life of patients with end-stage renal disease was estimated using the time trade-off technique. The sample included 103 transplant, 60 hospital hemodialysis, 57 home/self-care, and 52 continuous ambulatory peritoneal dialysis patients. Test-retest reliability was high: intra-class correlation coefficient 0.81 (p less than 0.001). The correlations of the time trade-off with the Spitzer Quality of Life index and a visual analogue scale completed by the nephrologists, nurses, friends/relatives, and the patient were positive and statistically significant, but still relatively low (r = 0.22-0.43; p less than 0.01). The time trade-off demonstrated evidence for discriminative construct validity by ordering treatment groups according to a priori prediction. The mean time trade-off values and standard deviations (where death is 0 and full health is 1) were 0.43 (0.26) for hospital hemodialysis 0.49 (0.23) for home/self-care hemodialysis, 0.56 (0.29) for continuous ambulatory peritoneal dialysis, and 0.84 (0.24) for transplant. Analysis of variance showed transplant to be different from all other groups (p less than 0.001) with age, sex, time with end-stage renal disease, and work status making no significant independent contribution. The partial correlation coefficients between time trade-off score and items in the physical, social, and emotional functioning sub-scales of the Rand questionnaire showed that physical functioning was far more important than social or emotional functioning. The time trade-off is reliable, demonstrates evidence for validity, and suggests that the quality of life for patients with end-stage renal disease is much poorer than that reported previously.

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Year:  1987        PMID: 3545580

Source DB:  PubMed          Journal:  Clin Invest Med        ISSN: 0147-958X            Impact factor:   0.825


  47 in total

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Authors:  C Green; J Brazier; M Deverill
Journal:  Pharmacoeconomics       Date:  2000-02       Impact factor: 4.981

2.  The SF36 as an outcome measure of services for end stage renal failure.

Authors:  J P Wight; L Edwards; J Brazier; S Walters; J N Payne; C B Brown
Journal:  Qual Health Care       Date:  1998-12

3.  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

4.  Factors influencing patient choice of dialysis versus conservative care to treat end-stage kidney disease.

Authors:  Rachael L Morton; Paul Snelling; Angela C Webster; John Rose; Rosemary Masterson; David W Johnson; Kirsten Howard
Journal:  CMAJ       Date:  2012-02-06       Impact factor: 8.262

Review 5.  The potential of biotechnology to improve the quality of life of patients with renal failure.

Authors:  W E Bloembergen; A Laupacis
Journal:  Drug Saf       Date:  1991 Jan-Feb       Impact factor: 5.606

6.  Antihypertensive treatment with and without benazepril in patients with chronic renal insufficiency: a US economic evaluation.

Authors:  Thomas J Hogan; William J Elliott; Arnold H Seto; George L Bakris
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

7.  Association between recombinant human erythropoietin and quality of life and exercise capacity of patients receiving haemodialysis. Canadian Erythropoietin Study Group.

Authors: 
Journal:  BMJ       Date:  1990-03-03

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.  Lifetime cost-effectiveness of calcineurin inhibitor withdrawal after de novo renal transplantation.

Authors:  Stephanie R Earnshaw; Christopher N Graham; William D Irish; Reiko Sato; Mark A Schnitzler
Journal:  J Am Soc Nephrol       Date:  2008-06-18       Impact factor: 10.121

10.  Quality of life of patients with end stage renal disease: a structural equation model.

Authors:  A E Molzahn; H C Northcott; L Hayduk
Journal:  Qual Life Res       Date:  1996-08       Impact factor: 4.147

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