Valuations of EQ-5D Health States
Are the United States and United Kingdom Different
Bibliographic Data
| ID | 9099247 |
|---|---|
| Authors | Jeffrey Johnson (0000-0001-8290-2857, Institute of Health Economics, corresponding author), Jeffrey A Johnson (0000-0002-3315-7210), Nan Luo (0000-0002-4156-3913, Institute of Health Economics, corresponding author), James W Shaw (0000-0002-7019-3720, National Cancer Institute), Paul Kind (0000-0003-2377-1652, University of York), Stephen Joel Coons (0000-0001-7977-5156, University of Arizona) |
| Year | 2005 |
| Volume | 43 |
| Issue | 3 |
| Pages | 221-228 |
| Publication date | 2005-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-200503000-00004 |
| PMID | 15725978 |
| OpenAlex | W2142427202 |
| Language | EN |
| Citations received | 31 |
| References cited | 16 |
PURPOSE: We sought to compare directly elicited valuations for EQ-5D health states between the US and UK general adult populations. METHODS: We analyzed data from 2 EQ-5D valuation studies where, using similar time trade-off protocols, values for 42 common health states were elicited from representative samples of the US and UK general adult populations. First, US and UK population mean valuations were estimated and compared for each health state. Second, random-effect models were used to compare the US and UK valuations while adjusting for known predictors of EQ-5D valuations (ie, age, sex, health state descriptors) and to investigate whether and how the valuations differ. RESULTS: Population mean valuations of the 42 health states ranged from -0.38 to 0.88 for the United States and from -0.54 to 0.88 for the United Kingdom, with the US mean scores being numerically higher than the UK for 39 health states (mean difference: 0.11; range: -0.01 to 0.25). After adjusting for the main effects of known predictors, the average difference in valuations was 0.10 (P < 0.001). The magnitude of the difference in the US and UK valuations was not constant across EQ-5D health states; greater differences in valuations were present in health states characterized by extreme problems. CONCLUSIONS: Meaningful differences exist in directly elicited TTO valuations of EQ-5D health states between the US and UK general populations. Therefore, EQ-5D index scores generated using valuations from the US general population should be used for studies aiming to reflect health state preferences of the US general public
Economics · Environmental health · EQ-5D · Health related quality of life · MEDLINE · Political science · Population · Sociology · Statistics · Valuation (finance) · Demography · Economic and Environmental Valuation · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Patient-Provider Communication in Healthcare
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Evaluating the discriminatory power of EQ-5D, HUI2 and HUI3 in a US general population survey using Shannon’s indices
Decrements in health-related quality of life associated with gender nonconformity among U.S. adolescents and young adults
Integrating health-related quality of life with sickness leave days for return-to-work assessment in traumatic limb injuries
Health state preferences are equivalent in the United States and Trinidad and Tobago
The added effect of comorbidity on health-related quality of life in patients with asthma
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New model to explain the EQ-5D VAS in patients who have undergone spinal fusion
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EuroQol (EQ-5D) health utility scores for patients with migraine
Do Portuguese and UK health state values differ across valuation methods
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The Effect of Age, Race and Gender on Preference Scores for Hypothetical Health States
Estimation of the impact of diabetes-related complications on health utilities for patients with type 2 diabetes in Ontario, Canada
Valuing health in a racially and ethnically diverse community sample
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Estimating Domestic Values for EQ-5D Health States Using Survey Data From External Sources
Valuation of Health States in the US versus the UK
Time-Specific Differences in Stated Preferences for Health in the United States
Self-Reported Health Status of the General Adult U.S. Population as Assessed by the EQ-5D and Health Utilities Index
Assessing the Impact of EQ-5D Country-specific Value Sets on Cost-utility Outcomes
Is the Validity of Cost Utility Analysis Improved When Utility is Measured by an Instrument with 'Home-Country' Weights? Evidence from Six Western Countries
The burden of disease associated with being African-American in the United States and the contribution of socio-economic status
EuroQol
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The reliability and internal consistency of an Internet-capable computer program for measuring utilities
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To what extent can we explain time trade-off values from other information about respondents
| Unique citing works | 31 |
|---|---|
| Citations per year | 1,48 |
| Citation span | 2005 - 2022 (18) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 31 |