PCN217 Health State Utility Values of Patients With Locally Advanced or Metastatic Urothelial Carcinoma: Analysis Based on the JAVELIN Bladder 100 Trial

2021 ◽  
Vol 24 ◽  
pp. S60
Author(s):  
V. Kapetanakis ◽  
P. Rakonczai ◽  
Á Benedict ◽  
P. Cislo ◽  
J. Chang
Keyword(s):  
Urothelial Carcinoma ◽  
Locally Advanced ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Metastatic Urothelial Carcinoma ◽  
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

scholarly journals Estimating Eortc-8d Health State Utility Values From Eortc Qlq-C30 Scores In Relapsed Multiple Myeloma

2015 ◽  
Vol 18 (7) ◽  
pp. A468 ◽  
Author(s):  
AO Ashaye ◽  
A Altincatal ◽  
RH Bender ◽  
J Zhang ◽  
S Panjabi
Keyword(s):  
Multiple Myeloma ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Eortc Qlq C30 ◽  
Health State Utility Values ◽  
Eortc Qlq

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

scholarly journals Construct Validity of SF-6D Health State Utility Values in an Employed Population

2014 ◽  
Vol 17 (7) ◽  
pp. A730-A731
Author(s):  
S. Baxter ◽  
K. Sanderson ◽  
A. Venn ◽  
P. Otahal ◽  
A.J. Palmer
Keyword(s):  
Construct Validity ◽  
Health State Utility ◽  
Health State ◽  
Utility Values ◽  
Health State Utility Values

scholarly journals Health state utility values among children and adolescents with disabilities: protocol for a systematic review

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e019978
Author(s):  
Lucy Kanya ◽  
Nana Anokye ◽  
Jennifer M Ryan
Keyword(s):  
Systematic Review ◽  
Psychometric Properties ◽  
Children And Adolescents ◽  
English Language ◽  
Health State Utility ◽  
Health State ◽  
Summary Statistics ◽  
Quality Of Reporting ◽  
Utility Values ◽  
Health State Utility Values

IntroductionIncreasingly, assessment of healthcare technologies and interventions requires the assessment of both costs and utilities. Health state utility values (HSUVs) are measured using a range of generic and condition-specific measures. While reviews have identified that generic measures of HSUVs may lack validity in adults with conditions that result in physical disability, there is little information available on the methods used to obtain HSUVs in children and adolescents with disabilities. The objectives of this systematic review are to describe the methods used to obtain HSUVs, including mode of administration and psychometric properties, and provide summary statistics for HSUVs among children and adolescents with disabilities.Methods and analysisThe following databases will be searched from inception for English-language studies of any design: PubMed, PsychInfo, Medline, Scopus, CINAHL Plus, Econlit and EMBASE databases. Two reviewers will independently screen titles, abstracts and full text articles for studies reporting HSUVs and/or data on the psychometric properties of preference-based measures for children and adolescents with disabilities aged up to 19 years. Two reviewers will independently extract data items including descriptors of the study methods and sample, instruments used to capture HSUVs, summary statistics for HSUVs and items relating to the quality of reporting. A descriptive summary of results from included studies and summary statistics for HSUVs will be presented. If sufficient data is identified, we will pool summary statistics for HSUVs according to the method used to obtain the HSUV using a random effects model. In addition, we will explore the determinants of the HSUVs using a meta-regression.Ethics and disseminationEthical approval will not be required as no original data will be collected as part of this review. The completed review will be submitted for publication in a peer-reviewed journal and presentation at conferences.PROSPERO registration numberCRD42018086574.

Burden and health state utility values of eating disorders: results from a population-based survey

2019 ◽  
pp. 1-8
Author(s):  
Long Khanh-Dao Le ◽  
Cathrine Mihalopoulos ◽  
Lidia Engel ◽  
Stephen Touyz ◽  
David Alejandro González-Chica ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Binge Eating ◽  
Health State Utility ◽  
Economic Evaluations ◽  
Health State ◽  
Life Questionnaire ◽  
Healthy Weight ◽  
Utility Values ◽  
Life Years ◽  
Health State Utility Values

Abstract Background There are no published estimates of the health state utility values (HSUVs) for a broad range of eating disorders (EDs). HSUVs are used in economic evaluations to determine quality-adjusted life years or as a measure of disorder burden. The main objective of the current study is to present HSUVs for a broad range of EDs based on DSM-5 diagnoses. Methods We used pooled data of two Health Omnibus Surveys (2015 and 2016) including representative samples of individuals aged 15 + years living in South Australia. HSUVs were derived from the SF-6D (based on the SF-12 health-related quality of life questionnaire) and analysed by ED classification, ED symptoms (frequency of binge-eating or distress associated to binge eating) and weight status. Multiple linear regression models, adjusted for socio-demographics, were used to test the differences of HSUVs across ED groups. Results Overall, 18% of the 5609 individuals met criteria for ED threshold and subthreshold. EDs were associated with HSUV decrements, especially if they were severe disorders (compared to non-ED), binge ED: −0.16 (95% CI −0.19 to −0.13), bulimia nervosa: −0.12, (95% CI −0.16 to −0.08). There was an inverse relationship between distress related binge eating and HSUVs. HSUVs were lower among people with overweight/obese compared to those with healthy weight regardless of ED diagnosis. Conclusions EDs were significantly associated with lower HSUVs compared to people without such disorders. This study, therefore, provides new insights into the burden of EDs. The derived HSUVs can also be used to populate future economic models.

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