scholarly journals Estimating health-state utility values for patients with recurrent ovarian cancer using Functional Assessment of Cancer Therapy – General mapping algorithms

2015 ◽  
pp. 615 ◽  
Author(s):  
Robert Hettle ◽  
John Borrill ◽  
Gaurav Suri ◽  
Jerome Wulff
Keyword(s):  
Ovarian Cancer ◽  
Cancer Therapy ◽  
Functional Assessment ◽  
Recurrent Ovarian Cancer ◽  
Health State Utility ◽  
Health State ◽  
Mapping Algorithms ◽  
Utility Values ◽  
General Mapping ◽  
Health State Utility Values

scholarly journals A Systematic Review of Health State Utility Values for Advanced Ovarian Cancer

2014 ◽  
Vol 17 (7) ◽  
pp. A645
Author(s):  
I. Al-Dakkak ◽  
J. Borrill ◽  
E. Murphy ◽  
J. Posnett ◽  
Y. Zhang
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Advanced Ovarian Cancer ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values

The impact of acute pneumococcal disease on health state utility values: a systematic review

2021 ◽  
Author(s):  
Ryan O’Reilly ◽  
Sayako Yokoyama ◽  
Justin Boyle ◽  
Jeffrey C. Kwong ◽  
Allison McGeer ◽  
...  
Keyword(s):  
Systematic Review ◽  
Pneumococcal Disease ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values ◽  
The Impact

The impact of multiple sclerosis severity on health state utility values: Evidence from Australia

2016 ◽  
Vol 23 (8) ◽  
pp. 1157-1166 ◽  
Author(s):  
Hasnat Ahmad ◽  
Bruce V Taylor ◽  
Ingrid van der Mei ◽  
Sam Colman ◽  
Beth A O’Leary ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Disease Severity ◽  
Severe Disease ◽  
Health Utility ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values ◽  
Economic Analyses ◽  
The Impact

Background: The measurement of health state utility values (HSUVs) for a representative sample of Australian people with multiple sclerosis (MS) has not previously been performed. Objectives: Our main aim was to quantify the HSUVs for different levels of disease severities in Australian people with MS. Method: HSUVs were calculated by employing a ‘judgement-based’ method that essentially creates EQ-5D-3L profiles based on WHOQOL-100 responses and then applying utility weights to each level in each dimension. A stepwise linear regression was used to evaluate the relationship between HSUVs and disease severity, classified as mild (Expanded Disability Status Scale (EDSS) levels: 0–3.5), moderate (EDSS levels: 4–6) and severe (EDSS levels: 6.5–9.5). Results: Mean HSUV for all people with MS was 0.53 (95% confidence interval (CI): 0.52–0.54). Utility decreased with increasing disease severity: 0.61 (95% CI: 0.60–0.62), 0.51 (95% CI: 0.50–0.52) and 0.40 (95% CI: 0.38–0.43) for mild, moderate and severe disease, respectively. Adjusted differences in mean HSUV between the three severity groups were statistically significant. Conclusion: For the first time in Australia, we have quantified the impact of increasing severity of MS on health utility of people with MS. The HSUVs we have generated will be useful in further health economic analyses of interventions that slow progression of MS.

Health-state utility values in breast cancer

2010 ◽  
Vol 10 (5) ◽  
pp. 553-566 ◽  
Author(s):  
Tessa Peasgood ◽  
Sue E Ward ◽  
John Brazier
Keyword(s):  
Breast Cancer ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values

scholarly journals Assessing Health-State Utility Values in Australian People with Multiple Sclerosis

2016 ◽  
Vol 19 (7) ◽  
pp. A875
Author(s):  
H Ahmad ◽  
I van der Mei ◽  
B Taylor ◽  
AJ Palmer
Keyword(s):  
Multiple Sclerosis ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values
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