Which health-related quality of life score? A comparison of alternative utility measures in patients with Type 2 diabetes in the ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-04-27

AUTHORS

Paul Glasziou, Jan Alexander, Elaine Beller, Philip Clarke,

ABSTRACT

BACKGROUND: Diabetes has a high burden of illness both in life years lost and in disability through related co-morbidities. Accurate assessment of the non-mortality burden requires appropriate health-related quality of life and summary utility measures of which there are several contenders. The study aimed to measure the impact of diabetes on various health-related quality of life domains, and compare several summary utility measures. METHODS: In the ADVANCE (Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation) study, 978 Australian patients with Type 2 diabetes completed two health-related quality of life questionnaires at baseline: the EQ-5D and the SF-36v2, from which nine summary utility measures were calculated, and compared. The algorithms were grouped into four classes: (i) based on the EQ-5D; (ii) using fewer items than those in the SF-12 (iii) using the items in the SF-12; and (iv) using all items of the SF-36. RESULTS: Overall health-related quality of life of the subjects was good (mean utility ranged from 0.68 (+/-0.08) to 0.85(+/-0.14) over the nine utility measures) and comparable to patients without diabetes. Summary indices were well correlated with each other (r = 0.76 to 0.99), and showed lower health-related quality of life in patients with major diabetes-related events such as stroke or myocardial infarction. Despite the smaller number of items used in the scoring of the EQ-5D, it generally performed at least as well as SF-36 based methods. However, all utility measures had some limitation such as limited range or ceiling effects. CONCLUSION: The summary utility measures showed good agreement, and showed good discrimination between major and minor health state changes. However, EQ-5D based measures performed as well and are generally simpler to use. More... »

PAGES

21-21

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1477-7525-5-21

DOI

http://dx.doi.org/10.1186/1477-7525-5-21

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051497697

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17462100


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