Comparing Short Form 6D, Standard Gamble, and Health Utilities Index Mark 2 and Mark 3 utility scores: Results from total hip arthroplasty patients

Feeny, David; Wu, LieLing; Eng, Ken

doi:10.1007/s11136-004-6189-2

Cited by 71 publications

(76 citation statements)

References 29 publications

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“…20 Another study of the HUI 2 and 3 found a large effect size for the change in both measures in osteoarthritis patients before and after total hip arthroplasty. 21 One limitation of our study is that when assessing change, one should compare the change in scores between stable patients and patients who either improve or worsen. In our study, virtually all of the patients improved, making this analysis impossible.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the ability to detect change of health‐related quality of life in children with Hodgkin disease

Klaassen

Krahn

Gaboury

et al. 2010

Cancer

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BACKGROUND:We evaluated 4 different health‐related quality of life (HRQL) measures prospectively to determine their ability to detect change over time: the Health Utilities Index Mark 2 and Mark 3, the Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core and Cancer Module, the EuroQol EQ‐5D visual analogue scale (EuroQol), and the Lansky Play‐Performance Scale.METHODS:Children with all stages of Hodgkin disease from 12 centers across Canada were asked to complete the 4 measures at 4 time points: 2 weeks after the first course of chemotherapy, on the third day of the second course of chemotherapy, during the third week of radiation, and 1 year after diagnosis.RESULTS:Fifty‐one patients were enrolled in the study between May 1, 2002 and March 31, 2005. Two patients were excluded: 1 patient died shortly after the first time point and the other patient failed to complete any of the questionnaires. All measures showed a significant change between Time 1 and Time 4 (<0.05). When the change in child scores was analyzed between the time points using the child's self‐reported change in HRQL, the PedsQL and the EuroQol showed significant change at all time points.CONCLUSIONS:All of the measures were able to detect change in a diverse group of children with Hodgkin disease. The PedsQL and the EuroQol appeared to be the most sensitive to change. Cancer 2010. © 2010 American Cancer Society.

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Section: Discussionmentioning

confidence: 99%

Evaluating the ability to detect change of health‐related quality of life in children with Hodgkin disease

Klaassen

Krahn

Gaboury

et al. 2010

Cancer

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“…In fact, many researchers found significant differences in global utility scores obtained by different multi-attribute utility instruments [14][15][16][17][18][19][20][21][22][23][24]. The objective of the present study is to compare the SF-6D and the EQ-5D and to investigate the differences in agreement between them.…”

Section: Introductionmentioning

confidence: 91%

How consistent are health utility values?

Ferreira

Pereira

2008

Qual Life Res

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The use of preference-based generic instruments to measure the health-related quality of life of a general population or of individuals suffering from a specific disease has been increasing. However, there are several discrepancies between instruments in terms of utility results. This study compares SF-6D and EQ-5D when administered to patients with cataracts and aims at explaining the differences. Agreement between EQ-5D and SF-6D health state classifications was assessed by correlation coefficients. Simple correspondence analysis was used to assess the agreement among the instrument's descriptive systems and to investigate similarities between dimensions' levels. Cluster analysis was used to classify SF-6D and EQ-5D levels into homogeneous groups. There was evidence of floor effects in SF-6D and ceiling effects in EQ-5D. Comparisons of means showed that SF-6D values exceeded EQ-5D values. Agreement between both instruments was high, especially between similar dimensions. However, different valuation methods and scoring algorithms contributed to the main differences found. We suggest that one or both instruments should be revised, in terms of their descriptive systems or their scoring algorithms, in order to overcome the weakness found.

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“…A number of studies have now been undertaken to assess the comparative performance of alternative measures (Bosch and Hunink, 2000;Hawthorne et al, 2001;Bosch et al, 2002;Conner-Spady and Suarez-Almzor, 2003;O'Brien et al, 2003;Brazier et al, 2004;Gerard et al, 2004;Hatoum et al, 2004;Holland et al, 2004;Longworth and Bryan, 2003;Marra et al, 2004;Pickard et al, 2005;Stavem et al, 2001;Krahn et al, 2003;Feeny et al, 2004;Szende et al, 2004;Barton et al, 2005;Fisk et al, 2005;McDonough et al, 2005;Marra et al, 2005a,b;Stavem et al, 2005;Lamers et al, 2003;Bharmal and Thomas, 2006). These studies assess measures in terms of criteria such as practicality and validity.…”

Section: Introductionmentioning

confidence: 99%

Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ‐5D and SF‐6D responses

et al. 2009

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An important issue in the measurement of health status concerns the extent to which an instrument displays lack of sensitivity to changes in health status at the extremes of the distribution, known as floor and ceiling effects. Previous studies use relatively simple methods that focus on the mean of the distribution to examine these effects. The aim of this paper is to determine whether quantile regression using longitudinal data improves our understanding of the relationship between quality of life instruments. The study uses EQ-5D and SF-36 (converted to SF-6D values) instruments with both baseline and follow-up data. Relative to ordinary least least-squares (OLS), a first difference model shows much lower association between the measures, suggesting that OLS methods may lead to biased estimates of the association, due to unobservable patient characteristics. The novel finding, revealed by quantile regression, is that the strength of association between the instruments is different across different parts of the health distribution, and is dependent on whether health improves or deteriorates. The results suggest that choosing one instrument at the expense of another is difficult without good prior information surrounding the expected magnitude and direction of health improvement related to a health-care intervention.

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Comparing Short Form 6D, Standard Gamble, and Health Utilities Index Mark 2 and Mark 3 utility scores: Results from total hip arthroplasty patients

Abstract: Agreement between SG scores and SF-6D and HUI scores was low. The estimate of change in utility associated with THA was lowest for SF-6D. Additional longitudinal studies to compare utility measures appear to be warranted.

Cited by 71 publications

References 29 publications

Evaluating the ability to detect change of health‐related quality of life in children with Hodgkin disease

Evaluating the ability to detect change of health‐related quality of life in children with Hodgkin disease

How consistent are health utility values?

Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ‐5D and SF‐6D responses

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