Overview, Update, and Lessons Learned From the International EQ-5D-5L Valuation Work: Version 2 of the EQ-5D-5L Valuation Protocol

Stolk, Elly; Ludwig, Kristina; Rand‐Hendriksen, Kim; Hout, Ben van; Ramos-Goñi, Juan Manuel

doi:10.1016/j.jval.2018.05.010

Cited by 241 publications

(245 citation statements)

References 39 publications

Supporting

Mentioning

241

Contrasting

Unclassified

Order By: Relevance

“…15 The EuroQol Group invested in a scientific program that examined alternative approaches to preference elicitation, 16,17 developed methods to improve data quality, 18 and demonstrated the robustness of these approaches across countries and languages. 19 The accumulation of evidence supported a standardized valuation protocol implemented in software named the EuroQol Valuation Technology (EQ-VT). 20,21 The EQ-VT has been refined in several developmental phases and is recommended by the EuroQol Research Foundation, a not-for-profit research foundation whose membership consists of international, multidisciplinary researchers [21][22][23] for conduct of EQ-5D-5L valuation studies.…”

Section: Introductionmentioning

confidence: 89%

“…All interviewers were trained by EuroQol scientific staff using EQ-VT 2.0. 19 Interviewers were trained to instruct, motivate, and probe respondents for understanding of valuation tasks. During data collection, quality control reports were reviewed daily to ensure cTTO data quality on the basis of several criteria 22 : (1) the interviewer used at least 3 minutes to explain the first practice cTTO task; (2) the interviewer demonstrated WTD task (ie, lead-time portion of cTTO) for the first or second practice cTTO task; (3) the respondent avoided assigning the worst health state (55 555) a cTTO value of 0.5 or more points higher than values assigned to other health states; and (4) the respondent used at least 5 minutes to complete all 10 EQ-5D-5L cTTO tasks.…”

Section: Interviewer Training Role Of Interviewer and Quality Contrmentioning

confidence: 99%

See 1 more Smart Citation

United States Valuation of EQ-5D-5L Health States Using an International Protocol

et al. 2019

View full text Add to dashboard Cite

A B S T R A C TObjective: To derive a US-based value set for the EQ-5D-5L questionnaire using an international, standardized protocol developed by the EuroQol Group.Methods: Respondents from the US adult population were quota-sampled on the basis of age, sex, ethnicity, and race. Trained interviewers guided participants in completing composite time trade-off (cTTO) and discrete choice experiment (DCE) tasks using the EuroQol Valuation Technology software and routine quality control measures. Data were modeled using a Tobit model for cTTO data, a mixed logit model for DCE data, and a hybrid model that combined cTTO and DCE data. Model performance was compared on the basis of logical ordering of coefficients, statistical significance, parsimony, and theoretical considerations.Results: Of 1134 respondents, 1062, 1099, and 1102 respondents provided useable cTTO, DCE, and cTTO or DCE responses, respectively, on the basis of quality control criteria and interviewer judgment. Respondent demographic characteristics and health status were similar to the 2015 US Census. The Tobit model was selected as the preferred model to generate the value set. Values ranged from 20.573 (55 555) to 1 (11111), with 20% of all predicted health states scores less than 0 (ie, worse than dead). Conclusions:A societal value set for the EQ-5D-5L was developed that can be used for economic evaluations and decision making in US health systems. The internationally established, standardized protocol used to develop this US-based value set was recommended by the EuroQol Group and can facilitate cross-country comparisons.

show abstract

Section: Introductionmentioning

confidence: 89%

Section: Interviewer Training Role Of Interviewer and Quality Contrmentioning

confidence: 99%

United States Valuation of EQ-5D-5L Health States Using an International Protocol

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A new version with five response levels (EQ-5D-5L) was developed in 2009 to improve sensitivity and reduce ceiling effects, as compared to the EQ-5D-3L [21]. Population norm and valuation studies with the 5L have been performed and are ongoing in various countries and an increasing spread of its use can be observed [18,22]. Therefore, we believe that there will be an increasing need for SHE data with the EQ-5D-5L and also to find ways to convert 3L-and 5L-based SHE results to each other.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the respondents plan to rely on informal care (77, 72, 53, and 40% for ages 60, 70, 80, and 90, respectively) either in their own home or by moving to the family members' home to be helped there. More and more individuals expect to move to a care institution with increasing age, although its share does not exceed the informal care expectations at any age (5,8,22, and 37%, respectively). The share of respondents considering institutions provided by the state (no co-payment) is higher for all future ages than of those who consider moving to a care institution of own choice but with significant co-payment.…”

mentioning

confidence: 97%

Subjective expectations regarding ageing: a cross-sectional online population survey in Hungary

et al. 2019

View full text Add to dashboard Cite

Background We aimed to investigate individuals' subjective expectations regarding health and happiness alongside their provisions on life circumstances for older ages. Methods A cross-sectional online survey was performed involving a representative sample (N = 1000; mean age 50.9, SD = 15.4; female 54.5%) in Hungary. Subjective expectations on health status (EQ-5D-3L/-5L, GALI, WHO-5), happiness (0-10 VAS), employment status, care time, and forms of care for ages 60, 70, 80, and 90 were surveyed. Results Current mean EQ-5D-5L was 0.869 (SD = 0.164) and happiness was 6.7 (SD = 2.4). Subjective life expectancy was 80.9 (SD = 11.1), and median expected retirement age was 65. Mean expected EQ-5D-5L for ages 60/70/80/90 was 0.761/0.684/0.554/0.402, and no activity limitations (GALI) were expected by 64%/40%/18%/14%, respectively. Expected happiness score was 6.8/6.7/6.2/5.7, and a decrease in mental well-being (WHO-5) was provisioned. A substantial increase in drug expenses and care time was anticipated, but only 52% thought to have extra income besides pension. The great majority expected to be helped by the family (77%/72%/53%/40%) if needed. Educational level, GALI, and longevity expectations were significant predictors of EQ-5D-5L expectations using a standard 5% significance level of decision. Current happiness was major determinant of expected future happiness. Conclusions Individuals expect a significant deterioration of health with age but only a moderate decrease in happiness. Overestimation of future activity limitations suggests a gap between statistical and subjective healthy life expectancy. The majority expects to rely on informal care in the elderly. Raise in retirement age is underestimated. Our results can be used as inputs for economic modelling of labor force participation and ageing.

show abstract

“…These surveys can be administered using a variety of valuation techniques – such as time‐trade‐off, standard gamble and discrete choice experiments – and formats – from solely online‐based to face‐to‐face or group interviews with and without computer aids . Despite continuous development of these methods, traditional approaches to preference elicitation face several points of critique. In many cases, participants are given cognitively challenging tasks with vague and unfamiliar questioning and have little opportunity to reflect and make well‐considered judgement decisions .…”

Section: Introductionmentioning

confidence: 99%

Reasoning in the valuation of health‐related quality of life: A qualitative content analysis of deliberations in a pilot study

Gansen

Klinger

2019

Health Expectations

View full text Add to dashboard Cite

Background Group deliberation can be a pathway to understanding reasons behind judgement decisions. This pilot study implemented a deliberative process to elicit public values about health‐related quality of life. In this study, participants deliberated scales and weights for a German adaption of the Short‐Form Six‐Dimension (SF‐6D) Version 2 from a public perspective. Objective This article examines the reasons participants stated for health state valuations and investigates the feasibility of eliciting public reasons for judgement decisions in a deliberative setting. Methods The 1‐day deliberation was guided by MACBETH as a method of multi‐criteria decision analysis and involved qualitative comparisons of SF‐6D health states and dimensions. Participants deliberated in parallel small groups and a subsequent plenary assembly. A qualitative content analysis was conducted to assess the value judgements and reasons behind them. Results A total of 34 students participated in the study. Common reasoning was the level of impairment, marginal benefit, possibility of adjustment and expectation satisfaction. While the small groups agreed on scales for the SF‐6D dimensions, the plenary assembly did not reach consensus on one scale and dimension weights. When dimensions were prioritized, these were pain and mental health. Conclusions While no consented value set was derived, this pilot study presents a promising approach for eliciting public reasoning behind judgements on health state values. Furthermore, it demonstrates that participants consider diverse motives when valuing health‐related quality of life.

show abstract

Overview, Update, and Lessons Learned From the International EQ-5D-5L Valuation Work: Version 2 of the EQ-5D-5L Valuation Protocol

Cited by 241 publications

References 39 publications

United States Valuation of EQ-5D-5L Health States Using an International Protocol

United States Valuation of EQ-5D-5L Health States Using an International Protocol

Subjective expectations regarding ageing: a cross-sectional online population survey in Hungary

Reasoning in the valuation of health‐related quality of life: A qualitative content analysis of deliberations in a pilot study

Contact Info

Product

Resources

About