2004
DOI: 10.1002/hec.901
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Calculation of quality adjusted life years in the published literature: a review of methodology and transparency

Abstract: Economic evaluations alongside randomised controlled trials (RCTs) are increasingly being designed to prospectively collect patient-specific resource use and preference-based health status (utility) data. This paper examines the ways in which preference-based health status (utility) data are used to generate quality adjusted life years (QALYs). A literature review was carried out which identified 23 published cost utility analyses suitable for inclusion. The methodology employed to calculate QALYs was not alwa… Show more

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Cited by 200 publications
(162 citation statements)
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“…Quality-adjusted life-years (QALYs) were calculated from the European Quality of Life-5 Dimensions (EQ-5D) questionnaire using the area-under-the-curve method. 51 A cost-effectiveness analysis (CEA) was undertaken to compare the tailored letter plus the taster session and the generic letter. In addition to the within-trial CEA, lifetime health-care cost savings and QALY gains associated with the two interventions were estimated based on a decision-analytic model.…”
Section: Health Economic Measuresmentioning
confidence: 99%
“…Quality-adjusted life-years (QALYs) were calculated from the European Quality of Life-5 Dimensions (EQ-5D) questionnaire using the area-under-the-curve method. 51 A cost-effectiveness analysis (CEA) was undertaken to compare the tailored letter plus the taster session and the generic letter. In addition to the within-trial CEA, lifetime health-care cost savings and QALY gains associated with the two interventions were estimated based on a decision-analytic model.…”
Section: Health Economic Measuresmentioning
confidence: 99%
“…QALYs were estimated by measuring the area under the curve, 52 which joins baseline and follow-up EQ-5D utility scores derived from population-based values.…”
Section: Economic Analysismentioning
confidence: 99%
“…The analysis is based on utility values at each time point (a ¼ baseline utility, b ¼ utility after 3 months) and uses the common assumption of a linear change over time (Thompson and Barber, 2000;Richardson and Manca, 2004) (Figure 2). After the intervention period of 3 months, we conservatively assumed a linear decrease of intervention effect returning to baseline level 12 months after study onset.…”
Section: Economic Analysesmentioning
confidence: 99%