EQ-5D-derived health utility values in patients undergoing surgery for chronic rhinosinusitis

2014 ◽  
Vol 125 (5) ◽  
pp. 1056-1061 ◽  
Author(s):  
Aaron K. Remenschneider ◽  
George Scangas ◽  
Josh C. Meier ◽  
Stacey T. Gray ◽  
Eric H. Holbrook ◽  
...  
Keyword(s):  
Chronic Rhinosinusitis ◽  
Health Utility ◽  
Utility Values

scholarly journals PCN33 HEALTH UTILITY VALUES FOR CANCER RELATED ANAEMIA

2004 ◽  
Vol 7 (6) ◽  
pp. 679-680
Author(s):  
A Lloyd ◽  
S Kimberley ◽  
P Cornes ◽  
K Tolley
Keyword(s):  
Health Utility ◽  
Utility Values

scholarly journals Health Impairment From Nasal Airway Obstruction and Changes in Health Utility Values From Septorhinoplasty

2019 ◽  
Vol 21 (2) ◽  
pp. 146-151
Author(s):  
Richard Tjahjono ◽  
Raquel Alvarado ◽  
Larry Kalish ◽  
Raymond Sacks ◽  
Raewyn Campbell ◽  
...  
Keyword(s):  
Airway Obstruction ◽  
Health Utility ◽  
Nasal Airway ◽  
Utility Values ◽  
Health Impairment

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.

scholarly journals Socioeconomic status impacts postoperative productivity loss and health utility changes in refractory chronic rhinosinusitis

2019 ◽  
Vol 9 (9) ◽  
pp. 1000-1009
Author(s):  
Daniel M. Beswick ◽  
Jess C. Mace ◽  
Zachary M. Soler ◽  
Luke Rudmik ◽  
Jeremiah A. Alt ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Chronic Rhinosinusitis ◽  
Productivity Loss ◽  
Health Utility

scholarly journals P01.112 The challenge of health utility values for glioblastoma patients with long-term survival

2018 ◽  
Vol 20 (suppl_3) ◽  
pp. iii257-iii257
Author(s):  
C Proescholdt ◽  
J Kelly ◽  
A Kinzel
Keyword(s):  
Health Utility ◽  
Term Survival ◽  
Long Term Survival ◽  
Utility Values

scholarly journals Quality of life measures and health utility values among dry eye subgroups

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Chika Shigeyasu ◽  
◽  
Masakazu Yamada ◽  
Motoko Kawashima ◽  
Kazuhisa Suwaki ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Dry Eye ◽  
Health Utility ◽  
Utility Values ◽  
Quality Of Life Measures

scholarly journals Health variations among breast-cancer patients from different disease states: evidence from China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Yang ◽  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Cancer Recurrence ◽  
Mapping Function ◽  
Health Utility ◽  
Breast Cancer Patients ◽  
Utility Values ◽  
Disease States

Abstract Background This study aimed to obtain health utility parameters among Chinese breast cancer patients in different disease states for subsequent health economics model. In addition, we aimed to explore the feasibility of establishing a breast cancer health utility mapping model in China. Methods Multiple patient-reported health attributes were assessed, including quality of life, which was measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B) instrument; health utility and self-rated health, which were measured by the EuroQol-5 Dimension-5 Level (EQ-5D-5L) questionnaire. Multivariate regression models, including a linear regression model, an ordinal logistic regression model and a Tobit model, were employed to analyze health differences among 446 breast cancer patients. Subgroup analyses were performed to examine differences in multiple dimensions of health derived from the FACT-B and EQ-5D-5L instruments. A mapping function was used to estimate health utility from quality of life. Rank correlation analyses were employed to examine the correlation between estimated and observed health utility values. Results A total of 446 breast cancer patients with different disease states were analyzed. The health utility values of breast cancer patients in the P state (without cancer recurrence and metastasis), R state (with cancer recurrence within a year), S state (with primary and recurrent breast cancer for the second year and above), and M state (metastatic cancer) were 0.81 (SD ± 0.23), 0.90 (SD ± 0.12), 0.78 (SD ± 0.31), and 0.74 (SD ± 0.27), respectively. There were positive correlations between all scores, including every domain of the FACT-B instrument (p < 0.001). Results from multivariate analysis suggested that patients in the R and M states had lower scores for overall quality of life (R, β = − 9.45, p < 0.01; M, β = − 6.72, p < 0.05). Patients in the M state had lower health utility values than patients in the P state (β = − 0.11, p < 0.05). Estimated health utility values, which were derived from quality of life by using a mapping function, were significantly correlated with directly measured health utility values (p < 0.001). Conclusions We obtained the health utility and health-related quality of life (HRQoL) scores of Chinese breast cancer patients in different disease states. Mapping health utility values from quality of life using four disease states could be feasible in health economic modelling, but the mapping function may need further revision.

scholarly journals Health utility reporting in chronic rhinosinusitis patients

2017 ◽  
Vol 43 (1) ◽  
pp. 90-95 ◽  
Author(s):  
J. Bewick ◽  
S. Morris ◽  
C. Hopkins ◽  
S. Erskine ◽  
C.M. Philpott
Keyword(s):  
Chronic Rhinosinusitis ◽  
Health Utility

Health utility values associated with diabetic retinopathy

2008 ◽  
Vol 25 (5) ◽  
pp. 618-624 ◽  
Author(s):  
A. Lloyd ◽  
B. Nafees ◽  
S. Gavriel ◽  
M. D. Rousculp ◽  
K. S. Boye ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Health Utility ◽  
Utility Values
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