scholarly journals Developing the EQ-5D-5L Value Set for Uganda Using the ‘Lite’ Protocol

2021 ◽  
Author(s):  
Fan Yang ◽  
Kenneth R. Katumba ◽  
Bram Roudijk ◽  
Zhihao Yang ◽  
Paul Revill ◽  
...  
Keyword(s):  
Prediction Accuracy ◽  
Model Performance ◽  
Face Validity ◽  
Economic Evaluations ◽  
Primary Analysis ◽  
Health States ◽  
Trade Off ◽  
Value Set ◽  
Valuation Study ◽  
Ugandan Population

Abstract Objective A ‘lite’ version of the EQ-5D-5L valuation protocol, which requires a smaller sample by collecting more data from each participant, was proposed and used to develop an EQ-5D-5L value set for Uganda. Methods Adult respondents from the general Ugandan population were quota sampled based on age and sex. Eligible participants were asked to complete 20 composite time trade-off tasks in the tablet-assisted personal interviews using the offline EuroQol Portable Valuation Technology software under routine quality control. No discrete choice experiment task was administered. The composite time trade-off data were modelled using four additive and two multiplicative regression models. Model performance was evaluated based on face validity, prediction accuracy in cross-validation and in predicting mild health states. The final value set was generated using the best-performing model. Results A representative sample (N = 545) participated in this study. Responses to composite time trade-off tasks from 492 participants were included in the primary analysis. All models showed face validity and generated comparable prediction accuracy. The Tobit model with constrained intercepts and corrected for heteroscedasticity was considered the preferred model for the value set on the basis of better performance. The value set ranges from − 1.116 (state 55555) to 1 (state 11111) with ‘pain/discomfort’ as the most important dimension. Conclusions This is the first EQ-5D-5L valuation study using a ‘lite’ protocol involving composite time trade-off data only. Our results suggest its feasibility in resource-constrained settings. The established EQ-5D-5L value set for Uganda is expected to be used for economic evaluations and decision making in Uganda and the East Africa region.

scholarly journals Valuation of the EQ-5D-3L in Russia

2021 ◽  
Author(s):  
Vitaly Omelyanovskiy ◽  
Nuriya Musina ◽  
Svetlana Ratushnyak ◽  
Tatiana Bezdenezhnykh ◽  
Vlada Fediaeva ◽  
...  
Keyword(s):  
Health Problems ◽  
Cost Utility ◽  
Economic Evaluations ◽  
Computer Assisted ◽  
Health State ◽  
Primary Analysis ◽  
Health States ◽  
Value Set ◽  
Model Combining ◽  
Life Years

Abstract Purpose The most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L value set for Russia. Methods A representative sample aged 18+ years was recruited from the Russia`s general population. Computer-assisted face–to–face interviews were conducted based on the standardized valuation protocol using EQ-Portable Valuation Technology. Population preferences were elicited utilizing both composite time trade-off (cTTO) and discrete choice experiment (DCE) techniques. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used. Results A total of 300 respondents who successfully completed the interview were included in the primary analysis. 120 (40.0%) respondents reported no health problems of any dimension, and 56 (18.7%) reported moderate health problems in one dimension of the EQ‐5D‐3L. Median self-rated health using EQ‐VAS was 80 with IQR 70–90. Comparing cTTO and DCE-predicted values for 243 health states resulted in a similar pattern. This supports the use of hybrid models. The predicted value based on the preferred model for the worst health state “33333” was −0.503. Mobility dimension had the most significant impact on the utility decrement, and anxiety/depression had the lowest decrement. Conclusion Determining a Russian national value set may be considered the first step towards promoting cost-utility analysis use to increase comparability among studies and improve the transferability of healthcare decision-making in Russia.

scholarly journals The Importance of Accounting for Parameter Uncertainty in SF-6D Value Sets and Its Impact on Studies that Use the SF-6D to Measure Health Utility

2020 ◽  
Vol 17 (11) ◽  
pp. 3949
Author(s):  
Samer A. Kharroubi ◽  
Yara Beyh ◽  
Esmail Abdul Fattah ◽  
Tracey Young
Keyword(s):  
Confidence Intervals ◽  
Bayesian Approach ◽  
Parameter Uncertainty ◽  
Economic Evaluations ◽  
Value Set ◽  
Study Results ◽  
Valuation Study ◽  
The Mean ◽  
Value Sets ◽  
The Impact

Background: The parameter uncertainty in the six-dimensional health state short form (SF-6D) value sets is commonly ignored. There are two sources of parameter uncertainty: uncertainty around the estimated regression coefficients and uncertainty around the model’s specification. This study explores these two sources of parameter uncertainty in the value sets using probabilistic sensitivity analysis (PSA) and a Bayesian approach. Methods: We used data from the original UK/SF-6D valuation study to evaluate the extent of parameter uncertainty in the value set. First, we re-estimated the Brazier model to replicate the published estimated coefficients. Second, we estimated standard errors around the predicted utility of each SF-6D state to assess the impact of parameter uncertainty on these estimated utilities. Third, we used Monte Carlo simulation technique to account for the uncertainty on these estimates. Finally, we used a Bayesian approach to quantifying parameter uncertainty in the value sets. The extent of parameter uncertainty in SF-6D value sets was assessed using data from the Hong Kong valuation study. Results: Including parameter uncertainty results in wider confidence/credible intervals and improved coverage probability using both approaches. Using PSA, the mean 95% confidence intervals widths for the mean utilities were 0.1394 (range: 0.0565–0.2239) and 0.0989 (0.0048–0.1252) with and without parameter uncertainty whilst, using the Bayesian approach, this was 0.1478 (0.053–0.1665). Upon evaluating the impact of parameter uncertainty on estimates of a population’s mean utility, the true standard error was underestimated by 79.1% (PSA) and 86.15% (Bayesian) when parameter uncertainty was ignored. Conclusions: Parameter uncertainty around the SF-6D value set has a large impact on the predicted utilities and estimated confidence intervals. This uncertainty should be accounted for when using SF-6D utilities in economic evaluations. Ignoring this additional information could impact misleadingly on policy decisions.

Determinants of time trade-off valuations for EQ-5D-5L health states: data from the Canadian EQ-5D-5L valuation study

2015 ◽  
Vol 25 (7) ◽  
pp. 1679-1685 ◽  
Author(s):  
Fatima Al Sayah ◽  
Nick Bansback ◽  
Stirling Bryan ◽  
Arto Ohinmaa ◽  
Lise Poissant ◽  
...  
Keyword(s):  
Health States ◽  
Trade Off ◽  
States Data ◽  
Valuation Study

scholarly journals Elicitation of Norwegian EQ-5D-5L values for hypothetical and experience-based health states based on the EuroQol Valuation Technology (EQ-VT) protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e034683
Author(s):  
Tonya Moen Hansen ◽  
Ylva Helland ◽  
Liv Ariane Augestad ◽  
Kim Rand ◽  
Knut Stavem ◽  
...  
Keyword(s):  
Sampling Strategy ◽  
Discrete Choice Experiments ◽  
Computer Assisted ◽  
Health States ◽  
Five Dimensions ◽  
Value Set ◽  
Valuation Study ◽  
Ethical Approval ◽  
Quota Sampling ◽  
Scoring Algorithms

IntroductionNorway is one of several European countries that lacks a national value set and scoring algorithm for the EuroQol five dimensions (EQ-5D). Recent studies have found differences between countries in terms of health values or preferences for health states described by instruments such as the EQ-5D. The project aims to model a national value set for the five level version of the EQ-5D based on values elicited from a representative sample of the Norwegian adult general population in terms of region, age, sex and level of education. Using a sampling strategy supporting the collection of values for both hypothetical and experienced health states, the study will have the additional aim of assessing the feasibility of collecting experience-based values in accordance with the latest EQ-5D valuation study protocol, and comparing values with those given for hypothetical health states.Methods and analysisMultistage random sampling and quota-sampling will contribute to representativeness. To increase the number of valuations of experienced health states, those with less than perfect health will be oversampled, increasing the total number of interviews from 1000 to 1300–1500. The most recent EQ-5D valuation protocol will be followed which includes computer assisted face-to-face, one-to-one interviews and use of composite time trade-off and discrete choice experiments.Ethics and disseminationThe study has been reviewed and found to be outside of the scope of the ethics committee and thus not in need of ethical approval. The study findings will be disseminated through peer-reviewed publications, conference presentations and summaries for key stakeholders and partners in the field. The scoring algorithms will be available for widely used statistical software.

scholarly journals Time trade-off with someone to live for: impact of having significant others on time trade-off valuations of hypothetical health states

2021 ◽  
Author(s):  
Tonya Moen Hansen ◽  
Knut Stavem ◽  
Kim Rand
Keyword(s):  
Significant Others ◽  
Health State ◽  
Health States ◽  
Trade Off ◽  
Life Years ◽  
Health State Preference ◽  
Valuation Study ◽  
State Preference ◽  
Health State Utilities ◽  
Health State Preference Values

Abstract Background The TTO task involves giving up life years, i.e. living a shorter life, to avoid an undesirable health state. Despite being a hypothetical task, some respondents take other life factors into account when completing the task. This study explored the effect of having children and/or a partner on TTO valuations of hypothetical EQ-5D-5L health states in a valuation study of the general population. Methods The study used TTO data collected in a Norwegian EQ-5D-5L valuation study in 2019–2020, by one-to-one pc-assisted interviews following the EQ-VT protocol. We used regression modelling to determine the effect of significant others (having children or a partner) on disutility per health state from the TTO valuations. Results 430 respondents were included [mean age 43.8 (SD 15.9) years, 58% female, 48% with children, 68% with a partner, 25% with neither children nor partner]. Having children and/or a partner was associated with lowered willingness to trade life years translating to higher elicited health state utilities (p < 0.01). Conclusion Having significant others, or the lack of having significant others, was associated with respondents’ valuation of hypothetical health states using TTO, more so than traditional sampling variables such as age and sex. Inadequate representativeness in terms of having significant others could bias health state preference values in valuation studies.

scholarly journals Valuing health-related quality of life using a hybrid approach: Tunisian value set for the EQ-5D-3L

2021 ◽  
Author(s):  
Jaafar Chemli ◽  
Chema Drira ◽  
Hajer Felfel ◽  
Bram Roudijk ◽  
Fatima Al Sayah ◽  
...  
Keyword(s):  
Hybrid Models ◽  
Regression Modeling ◽  
Tunisian Population ◽  
Economic Evaluations ◽  
Computer Assisted ◽  
Parameter Estimates ◽  
Health States ◽  
Value Set ◽  
Health Technologies ◽  
Utility Values

Abstract Objective To develop a value set for EQ-5D-3L based on the societal preferences of the Tunisian population. Methods A representative sample of the Tunisian general population was obtained through multistage quota sampling involving age, gender and region. Participants (n = 327), aged above 20 years, were interviewed using the EuroQol Portable Valuation Technology in face-to-face computer-assisted interviews. Participants completed 10 composite time trade-off (cTTO) and 10 discrete choice experiments (DCE) tasks. Utility values for the EQ-5D-3L health states were estimated using regression modeling. The cTTO and DCE data were analyzed using linear and conditional logistic regression modeling, respectively. Multiple hybrid models were computed to analyze the combined data and were compared on goodness of fit measured by the Akaike information criterion (AIC). Results A total of 300 participants with complete data that met quality criteria were included. All regression models showed both logical consistency and significance with respect to the parameter estimates. A hybrid model accounting for heteroscedasticity presented the lowest value for the AIC among the hybrid models. Hence, it was used to construct the Tunisian EQ-5D-3L valuation set with a range of predicted values from − 0.796 to 1.0. Conclusion This study provides utility values for EQ-5D-3L health states for the Tunisian population. This value set will be used in economic evaluations of health technologies and for Tunisian health policy decision-making.

scholarly journals Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off

2021 ◽  
Vol 18 (14) ◽  
pp. 7415
Author(s):  
Marian Sorin Paveliu ◽  
Elena Olariu ◽  
Raluca Caplescu ◽  
Yemi Oluboyede ◽  
Ileana-Gabriela Niculescu-Aron ◽  
...  
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Health Technology ◽  
Assessment Process ◽  
Computer Assisted ◽  
Health State ◽  
Health States ◽  
Value Set ◽  
Health Technologies ◽  
Related Quality

Objective: To provide health-related quality of life (HRQoL) data to support health technology assessment (HTA) and reimbursement decisions in Romania, by developing a country-specific value set for the EQ-5D-3L questionnaire. Methods: We used the cTTO method to elicit health state values using a computer-assisted personal interviewing approach. Interviews were standardized following the most recent version of the EQ-VT protocol developed by the EuroQoL Foundation. Thirty EQ-5D-3L health states were randomly assigned to respondents in blocks of three. Econometric modeling was used to estimate values for all 243 states described by the EQ-5D-3L. Results: Data from 1556 non-institutionalized adults aged 18 years and older, selected from a national representative sample, were used to build the value set. All tested models were logically consistent; the final model chosen to generate the value set was an interval regression model. The predicted EQ-5D-3L values ranged from 0.969 to 0.399, and the relative importance of EQ-5D-3L dimensions was in the following order: mobility, pain/discomfort, self-care, anxiety/depression, and usual activities. Conclusions: These results can support reimbursement decisions and allow regional cross-country comparisons between health technologies. This study lays a stepping stone in the development of a health technology assessment process more driven by locally relevant data in Romania.

scholarly journals NCOG-36. FIRST HEALTH UTILITIES OF GLIOBLASTOMA PATIENTS USING TTFIELDS TREATMENT

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii137-ii137
Author(s):  
Gordon Chavez ◽  
Christina Proescholdt
Keyword(s):  
Population Sample ◽  
National Health System ◽  
Medical Decision ◽  
Economic Evaluations ◽  
Health State ◽  
High Quality ◽  
Health States ◽  
Tumor Treating Fields ◽  
Health State Utilities ◽  
The Uk

Abstract BACKGROUND Despite the importance of Health State Utilities for health policy and medical decision making, there are no publications that provide high quality utility values estimated from glioblastoma multiforme (GBM) patients. Published health economic evaluations for GBM treatments rely on utilities determined by Garside et al. (2007), which used the standard gamble method in healthy panel members of the UK National Health System. There are no published utilities for GBM estimated from a general population sample, and there are no utility estimates whatsoever for Tumor Treating Fields (TTFields) users. METHODS We designed a study to remedy this major deficit by eliciting utilities directly from GBM patients using the EuroQol 5-Dimension (EQ-5D) survey. The EQ-5D is a widely used and NICE-recommended tool for the estimation of health state utilities. The survey is composed of a questionnaire that asks patients to specify their health state along 5 dimensions: Mobility, Self-Care, Usual Activities, Pain/Discomfort, and Anxiety/Depression. Statistical models provided by EuroQol’s network of researchers convert this data into health state utility estimates. RESULTS The EQ-5D questionnaire is administered to active patients using TTFields treatment during the study duration, allowing the elicitation of health preference measures for different glioblastoma health states based on: progression status (progressed vs. non-progressed), current treatments (TTFields only vs. TTFields + others) and time-from-diagnosis (0-12 months vs. &gt; 12 months) CONCLUSION These results are important for understanding the patient preferences using TTFields treatment and communicating these preferences to decision makers. This study is the first to provide direct, high quality utility measures in glioblastoma patients using TTFields treatment.

scholarly journals Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039517
Author(s):  
Gaurav Jyani ◽  
Shankar Prinja ◽  
Sitanshu Sekhar Kar ◽  
Mayur Trivedi ◽  
Binod Patro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Added Value ◽  
Computer Assisted ◽  
Health Related Quality ◽  
Health States ◽  
Value Set ◽  
Related Quality ◽  
Health Related ◽  
The Government

IntroductionQuality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets.Methods and analysisA cross-sectional survey using the EuroQol Group’s Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states.Ethics and disseminationThe ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India’s central HTA Agency.

PSY17 Time Trade-Off Utilities for Hereditary Angioedema Health States

2021 ◽  
Vol 24 ◽  
pp. S232
Author(s):  
S.H. Lo ◽  
A. Lloyd ◽  
S. Elkhalifa ◽  
Z. Sisic ◽  
F. Van Nooten
Keyword(s):  
Hereditary Angioedema ◽  
Health States ◽  
Trade Off
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