The EQ-5D-5L Valuation Study in Egypt

Valuing health-related quality of life: an EQ-5D-5L value set for Morocco

PURPOSE

There is a growing interest in Health Technology Assessment (HTA) in Morocco. A national EQ-5D-5L value set would allow for the computation of Quality Adjusted Life Years (QALYs) in economic evaluations of healthcare interventions to support decision-making. This study aimed to develop a Moroccan EQ-5D-5L value set based on data from a representative sample of the Moroccan adult general population.

METHODS

A Moroccan representative sample of adults was recruited using stratified quota sampling based on gender, age category, and place of residence. Data were collected between November 2022 and December 2023 using the international EuroQol valuation protocol, EQ-VT version 2.6.1. This protocol includes two elicitation techniques: the composite time trade-off (cTTO) and the discrete choice experiment (DCE). cTTO and DCE data were modeled using a heteroskedastic Tobit model and a conditional logit model, respectively. In addition, these models were combined using a hybrid model.

RESULTS

A total of 976 respondents were included in the final analysis. The hybrid heteroskedastic model was considered the preferred model. The predicted utility values ranged from -1.492 for the worst health state (55555) to 1 for full health (11111), where the two mildest impaired states (11211 and 21111) had a utility value of 0.979. Pain/discomfort had the largest effect on health utility values, followed by anxiety/depression, mobility, self-care and usual activities.

CONCLUSION

Morocco is the third country in the Middle East and North Africa (MENA) region with an EQ-5D-5L value set. This study supports the use of EQ-5D-5L data for healthcare decision-making in the Moroccan context.

The Use of EQ-5D in the Middle East and North Africa Region: A Systematic Literature Review

INTRODUCTION

The EQ-5D is the most commonly used preference-based measure of health-related quality of life. There is limited evidence about the use of the EQ-5D in the Middle East and North Africa (MENA) region. This study aimed to systematically identify, review, summarize, and synthesize the published literature on using the EQ-5D in this region.

METHODS

A systematic literature review was conducted, according to the PRISMA 2020 guidelines, using PubMed, Cochrane, PsycINFO, and CINAHL and covering the period up to 30 August 2024. Studies using any version of the EQ-5D in adults or youth in the MENA region were included. Pilot studies, guidelines, study protocols, and reviews were excluded. Key study characteristics and outcomes assessed included study design, clinical area, population, type of EQ-5D data reported, reference value set used, and mode of administration. Title/abstract screening was conducted independently by two reviewers to assess eligibility for inclusion. Two researchers completed full-text screening and extracted data using a standardized form. Disagreements were referred to a third reviewer if not resolved by discussion. Results were summarized in systematic evidence tables.

RESULTS

After removing duplicates, 18,034 references were considered for title/abstract screening. In total, 184 studies were included with a total sample size of 128,164 subjects. Of the included single-country studies, 42% were reported in Iran, 20% in Saudi Arabia, and 11% in Jordan. Patient populations were investigated in 86% of the studies, 23% of which targeted endocrine diseases. Study design was observational in 57% and experimental in 14% of the studies. Only 10% of the included studies applied the EQ-5D in an economic evaluation. The EQ-5D-3L version was used in 40% of the studies. However, the trend is towards a greater use of the 5L version in more recent years. Twenty percent of the studies reported EQ-5D results using the index score, frequencies of severity levels per dimension, and visual analog scale scores. EQ-5D modes of administration and funding sources were not reported in 16% and 20% of the studies, respectively.

CONCLUSION

There is an increased use of the EQ-5D in the MENA region, especially since 2020. In the region, the use of the EQ-5D is more prevalent in clinical studies than in economic evaluation studies. The reporting heterogeneity indicates the need for guidance in reporting EQ-5D study results in this region.

Valuation of the EQ-5D-3L in Jordan

BACKGROUND

In Jordan, no national value set is available for any preference-accompanied health utility measure.

OBJECTIVE

This study aims to develop a value set for EQ-5D-3L based on the preferences of the Jordanian general population.

METHODS

A representative sample of the Jordanian general population was obtained through quota sampling involving age, gender, and region. Participants aged above 18 years were interviewed via videoconferencing using the EuroQol Valuation Technology 2.1 protocol. Participants completed ten composite time trade-offs (cTTO) and ten discrete choice experiments (DCE) tasks. cTTO and DCE data were analyzed using linear and logistic regression models, respectively, and hybrid models were applied to the combined DCE and cTTO data.

RESULTS

A total of 301 participants with complete data were included in the analysis. The sample was representative of the general population regarding region, age, and gender. All model types applied, that is, random intercept model, random intercept Tobit, linear model with correction for heteroskedasticity, Tobit with correction for heteroskedasticity, and all hybrid models, were statistically significant. They showed logical consistency in terms of higher utility decrements with more severe levels. The hybrid model corrected for heteroskedasticity was selected to construct the Jordanian EQ-5D-3L value set as it showed the best fit and lowest mean absolute error. The predicted value for the most severe health state (33333) was - 0.563. Utility decrements due to mobility had the largest weight, followed by anxiety/depression, while usual activities had the smallest weight.

CONCLUSION

This study provides the first EQ-5D-3L value set in the Middle East. The Jordanian EQ-5D-3L value set can now be used in health technology assessments for health policy planning by the Jordanian health sector's decision-makers.

A Value Set for EQ-5D-5L in the United Arab Emirates

OBJECTIVES

This study aimed to develop a value set for the EQ-5D-5L based on preferences of the general adult population of the United Arab Emirates (UAE).

METHODS

The study followed the EuroQol EQ-5D-5L valuation protocol and involved conducting interviewer-administered face-to-face or online interviews in Arabic or English, using the EuroQol Valuation Technology with a sample of 1005 adults representing the UAE general population. Sample recruitment involved a 2-stage quota sampling strategy across the 7 emirates of the UAE, ensuring representation of nationals and expatriates. Various models using composite time trade-off data only, discrete choice experiment data only, and hybrid using both composite time trade-off and discrete choice experiment data were examined, along with various sensitivity analyses to examine the robustness of the models.

RESULTS

The average age of respondents was 39 years (SD 10.8), 44.5% were female, and 11% were UAE nationals. The best-performing model to generate the value set for the EQ-5D-5L was the hybrid tobit model censored at -1.0, corrected for heteroskedasticity. Values ranged from -0.654 for the worst health state (55555) to 1 for full health (11111) and 0.962 for 11211, with 15.3% of predicted values worse than dead. Mobility problems had the largest impact on health state preference values relative to other dimensions.

CONCLUSION

This value set will facilitate the application and use of the EQ-5D-5L instrument in the UAE population in generating local evidence on the cost-effectiveness of healthcare interventions, as well as to enhance other applications of EQ-5D in population health assessment and health systems.

Removal versus Retention of Posterior Spinal Implants in Patients with Healed Thoracolumbar Fractures: Analysis of Clinical and Radiographic Outcomes-A Randomized Controlled Trial

Introduction

There is ongoing debate over whether to remove or retain posterior spinal implants following the successful union of thoracolumbar fractures. This study aimed to compare clinical and radiographic outcomes following removal versus retention of posterior spinal implants in patients with healed thoracolumbar fractures.

Methods

All patients who underwent posterior short segment fixation for thoracolumbar (T11-L2) fractures and presented to the outpatient clinic of our institution (level I trauma center) from October 2020 to October 2022 were enrolled in the study. The participants were randomly assigned to one of the two groups. The EQ-5D-5L was the primary outcome of the study. The secondary outcomes were the Oswestry Disability Index (ODI), loss of correction, and incidence of complications.

Results

A total of 52 patients were included in the final analysis with 26 patients in each group. During the 6-month and 1-year follow-up visits, the implant removal group had a statistically significant improvement in the EQ-Index, EQ-VAS, and ODI, while there were no significant differences in these parameters in the implant retention group. There was no significant difference between the two groups regarding loss of correction (P=0.109).

Conclusions

In patients who have undergone posterior instrumentation for thoracolumbar fractures, the removal of implants following fracture consolidation demonstrates enhanced clinical outcomes when compared to retaining the implants. Although loss of correction is marginally higher in the implant removal group than in the retention group, this disparity did not attain statistical significance, nor did it correlate with inferior clinical outcomes. Furthermore, the incidence of complications following implant removal remained minimal. These findings emphasize the favorable efficacy and safety profile of implant removal procedures within this patient population.

A new SF-6Dv2 value set based on a hybrid model using SG, cTTO, and DCE data

OBJECTIVE

To develop a value set for the Short-Form 6-Dimension version 2 (SF-6Dv2) by incorporating societal preferences obtained from three distinct approaches: Standard Gamble (SG), composite Time Trade-Off (cTTO), and Discrete Choice Experiment (DCE).

METHODS

Data were gathered from the general population of Quebec, Canada, using the standardized valuation protocol developed by EuroQol for the cTTO and DCE tasks, as well as the valuation protocol developed by Sheffield University for the SG. The SG and cTTO data were analyzed using OLS, GLS, GLS Tobit, and heteroskedastic Tobit models. Conditional logit model was used for the DCE, while hybrid, hybrid Tobit, and heteroskedastic hybrid were applied to analyze the combined data from SG, cTTO, and DCE. The performance of models was assessed using mean absolute error (MAE), the logical consistency of the parameters, and significance levels.

RESULTS

Over 56,000 observations collected from the SG, cTTO, and DCE were analyzed. The utility values generated by DCE were generally lower than those provided by cTTO and SG. Among the models tested, the heteroskedastic hybrid model demonstrated the best fit in terms of logical consistency and statistically significant coefficients. This model generated a value set ranging from -0.216 for the worst health state (555655) to 1 for full health (111111), with 0.52% of the values being negative and a MAE of 0.281. Among dimensions, the largest decrements were consistently found in the pain dimension, highlighting its significant impact on overall health state valuations.

CONCLUSION

A heteroskedastic hybrid model using data from SG, cTTO, and DCE was identified as the most effective approach for generating the SF-6Dv2 value set and is expected to provide key input for healthcare decision-making.

An EQ-5D-5L Value Set for Ghana Using an Adapted EuroQol Valuation Technology Protocol

OBJECTIVES

Ghana's economic evaluation reference case recommends quality-adjusted life-years as an outcome measure for the conduct of cost-utility analysis. There is no Ghanaian value set available to be used in estimating quality-adjusted life-years. This study aimed to develop a value set for Ghana using the EQ-5D-5L instrument.

METHODS

Face-to-face preference data were collected from 300 adults across 3 regions of Ghana using the adapted version of the EuroQol valuation technology (EQ-VT) standardized valuation protocol; with composite time-trade-off (cTTO) and discrete-choice experiments (DCEs) elicitation techniques. The cTTO and DCE data were modeled individually or together to provide complementary results on respondents' utility preferences. Models explored were generalized least squares, Tobit, heteroskedastic, logit, and hybrid. The best-fitting model for the value set was selected based on its logical consistency, accounting for left-censored and heteroscedasticity data, and the statistical significance of parameters.

RESULTS

The 300 interviews provided 4500 cTTO responses and 4200 DCE responses. The preferred model chosen for the Ghana value set was the Hybrid Tobit random effect heteroscedastic-constrained model. The predicted value for the worst attainable health state (55555) was -0.493 and the best health state (11112) was 0.969. The largest decrement was registered for level 5 mobility (0.369) followed by pain/discomfort (0.312), self-care (0.273), anxiety/depression (0.271), and usual activities (0.268).

CONCLUSIONS

This is the first Ghanaian EQ-5D-5L value set based on social preference derived from a nationally representative sample. The value set will play a key role in the use of economic evaluation studies to inform priority setting in Ghana where different health technologies can be compared.

Diabetic small fiber neuropathy: clinical and electrophysiological study

Background

Diabetic neuropathy is diagnosed late due to lack of easy and readily available biomarkers; early identification can prompt proper interventions before the irreversible large fiber damage. The aim of this study is to assess small fiber dysfunction using cutaneous silent period (CSP) and sympathetic skin response (SSR) tests in patients with diabetic small fiber neuropathy (SFN) and compare results with clinical, neuropathy severity and quality of life measures. A total of 45 subjects were classified into: Group I: diabetic patients with pure SFN, group II: diabetic patients with mixed fiber neuropathy, and group III: healthy subjects. All underwent evaluation by anthropometric, clinical and quality of life measures, electrophysiological evaluation by CSP and SSR and distal leg skin biopsy.

Results

Age and gender distribution did not significantly differ between the studied groups. Both patients’ groups showed comparable poor quality of life in relation to healthy subjects. CSP onset latencies and SSR amplitudes significantly correlated with studied clinical and severity measures, but neither correlate with each other in diabetic pure SFN patients. Both CSP and SSR measures were specific in diagnosing diabetic pure SFN, but mostly with poor sensitivity. Combining sensitivities of different CSP and SSR measures improved the overall sensitivity to early screen for SFN in diabetic patients.

Conclusions

Both CSP and SSR may have the potential to early detect diabetic pure SFN. Suspected diabetic patients with SFN should be separately screened for both somatosensory and sudomotor/autonomic affection.

Evaluating health-related quality of life in Ethiopia: systematic review and meta-analysis of EQ-5D-based studies

Background

Health-related quality of life (HRQoL) is crucial for understanding how health conditions impact overall well-being. The EuroQol-5 Dimension (EQ-5D) is a widely used tool for measuring HRQoL across diseases. In Ethiopia, this tool has been employed to assess HRQoL across various healthcare settings. This study aims to summarize EQ-5D-derived health outcomes in Ethiopian populations and identify key determinants influencing these outcomes.

Methods

A systematic search of PubMed, Embase, and Scopus was conducted through May 2024, with no publication date restrictions, focusing on HRQoL and EQ-5D instruments in Ethiopian populations. Grey literature searches were also performed using Google's Advanced Search. Cross-sectional studies across various diseases were included. Data were extracted by two independent reviewers, and pooled mean EQ-5D utility and EQ-5D visual analog scale (EQ-VAS) scores were calculated using a random-effects model in STATA software version 17. Study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) checklist, and heterogeneity was assessed using the I² statistic.

Results

Fourteen cross-sectional studies involving 5,639 patients from 2019 to 2024 in Ethiopia were analyzed. Health utility values varied across diseases, with pain/discomfort and anxiety/depression being the most commonly affected dimensions. The pooled EQ-5D utility for HIV patients was 0.88, and the EQ-VAS score was 76.59. For diabetes mellitus (DM) patients, the pooled utility was 0.78, and the EQ-VAS score was 69.36. For COVID-19 patients, the pooled utility was 0.86, and the EQ-VAS score was 74.56. Cancer patients had a pooled EQ-VAS score of 67.87.

Conclusion

The EQ-5D is a reliable tool for measuring HRQoL in Ethiopian patients across various diseases. The study's pooled EQ-5D scores provide valuable insights for future economic evaluations in the Ethiopian healthcare system.

Systematic Review Registration

https://doi.org/10.1136/bmjopen-2024-085354, PROSPERO (CRD42024505028).

A New and Improved Experimental Design for the Discrete Choice Experiment Module of the EuroQol Valuation Technology Protocol

OBJECTIVES

The EuroQol Valuation Technology (EQ-VT) protocol, which is used to value the EQ-5D-5L instrument, comprises a composite time trade-off and a discrete choice experiment (DCE) module. Despite significant limitations, the DCE module has not been updated since its inception in 2012. This study aimed to update the EQ-VT DCE design using state-of-the-art methods.

METHODS

DCE data from 19 EQ-5D-5L valuation studies were summarized using a Bayesian hierarchical meta-analysis model, which created the priors for our Bayesian efficient DCE design. This design comprised 20 subdesigns, each with 12 choice tasks, and included 2 levels that overlapped to reduce the complexity of the choice tasks. The relative efficiency and robustness of the new design were established by comparing the D-errors and minimal sample size requirements for the 19 within-sample and 7 out-of-sample countries with the previous DCE design.

RESULTS

The updated DCE design shows large reductions in the D-error: by 20% and 22% for the 19 within-sample and 7 out-of-sample countries, respectively. Sample size requirements were also reduced, resulting in an average reduction of 45% for both the within and out-of-sample countries.

CONCLUSIONS

The updated DCE design outperforms the current EQ-VT design. Given its enhanced performance and reduced complexity, it is set to replace the existing DCE design in future EQ-5D-5L valuation studies using the EQ-VT protocol.

Comparison of four approaches in eliciting health state utilities with SF-6Dv2

OBJECTIVE

To empirically compare four preference elicitation approaches, the discrete choice experiment with time (DCETTO), the Best-Worst Scaling with time (BWSTTO), DCETTO with BWSTTO (DCEBWS), and the Standard Gamble (SG) method, in valuing health states using the SF-6Dv2.

METHODS

A representative sample of the general population in Quebec, Canada, completed 6 SG tasks or 13 DCEBWS (i.e., 10 DCETTO followed by 3 BWSTTO). Choice tasks were designed with the SF-6Dv2. Several models were used to estimate SG data, and the conditional logit model was used for the DCE or BWS data. The performance of SG models was assessed using prediction accuracy (mean absolute error [MAE]), goodness of fit using Bayesian information criterion (BIC), t-test, Jarque-Bera (JB) test,  Ljung-Box (LB) test, the logical consistency of the parameters, and significance levels. Comparison between approaches was conducted using acceptability (self-reported difficulty and quality levels in answering, and completion time), consistency (monotonicity of model coefficients), accuracy (standard errors), dimensions coefficient magnitude, correlation between the value sets estimated, and the range of estimated values. The variance scale factor was computed to assess individuals' consistency in their choices for DCE and BWS approaches.

RESULTS

Out of 828 people who completed SG and 1208 for DCEBWS tasks, a total of 724 participants for SG and 1153 for DCE tasks were included for analysis. Although no significant difference was observed in self-reported difficulties and qualities in answers among approaches, the SG had the longest completion time and excluded participants in SG were more prone to report difficulties in answering. The range of standard errors of the SG was the narrowest (0.012 to 0.015), followed by BWSTTO (0.023 to 0.035), DCEBWS (0.028 to 0.050), and DCETTO (0.028 to 0.052). The highest number of insignificant and illogical parameters was for BWSTTO. Pain dimension was the most important across dimensions in all approaches. The correlation between SG and DCEBWS utility values was the strongest (0.928), followed by the SG and BWSTTO values (0.889), and the SG and DCETTO (0.849). The range of utility values generated by SG tended to be shorter (-0.143 to 1) than those generated by the other three methods, whereas BWSTTO (-0.505 to 1) range values were shorter than DCETTO (-1.063 to 1) and DCEBWS (-0.637 to 1). The variance scale factor suggests that respondents had almost similar level of certainty or confidence in both DCE and BWS responses.

CONCLUSION

The SG had the narrowest value set, the lowest completion rates, the longest completion time, the best prediction accuracy, and produced an unexpected sign for one level. The BWSTTO had a narrower value set, lower completion time, higher parameter inconsistency, and higher insignificant levels compared to DCETTO and DCEBWS. The results of DCEBWS were more similar to SG in number of insignificant and illogical parameters, and correlation.

A novel approach for health state valuation: Multiple bounded dichotomous choice compared to the traditional standard gamble

OBJECTIVE

to assess the feasibility of a new stated preference approach, the multiple bounded dichotomous choice (MBDC), designed to generate value sets for preference-based measurement of health-related quality of life.

METHODS

MBDC and standard gamble (SG) tasks were completed to derive SF-6Dv2 value sets from a sample of the general population in Quebec, Canada. Participants were randomized between the two approaches: 6 health states were evaluated in SG and 11 health states in MBDC. Several models were used to estimate data in each approach, and the preferred models were chosen by using mean absolute error (MAE), logical consistency of parameters, and significance levels. Results of MBDC were compared with SG in terms of acceptability (self-reported difficulty and quality levels in answering, and completion time), consistency (monotonicity of model coefficients), accuracy (standard errors), dimensions coefficient magnitude, correlation between the value sets estimated, and the range of estimated values. The intra-class correlation coefficient (ICC) was computed to assess value sets' consistency.

RESULTS

Out of 655 individuals who completed MBDC tasks and 828 who completed SG tasks, a total of 585 participants for MBDC and 714 for SG tasks were included for analysis. The preferred models for both approaches were GLS Tobit. No significant difference was observed in self-reported difficulties and qualities in answers among approaches, but MBDC had less excluded participants and was less prone to report difficulties in answering. Additionally, completion time in the MBDC group was significantly lower (99.80 vs 68.12 s). Most standard errors in the MBDC were lower than those in SG, and the number of non-significant parameters was also lower. The range of utility values generated by MBDC tended to be wider (-0.372 to 1) than those generated by the SG (-0.137 to 1) and the number of worse-than-dead states in MBDC (0.91%) was higher than for SG (0.08%). The Pain dimension was identified as the most significant, while the Vitality dimension showed the lowest significant decrement. Both approaches exhibited a tendency to overestimate severe health state values and underestimate better health state values. The correlation and ICC between the two value sets were 0.937 and 0.983, respectively.

CONCLUSION

Based on empirical evidence, it can be inferred that the MBDC method is not only feasible but also holds the potential to generate meaningful and well-informed preference data from respondents. This approach can be used to derive a value set for preference-based instrument.

Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication

BACKGROUND

A fixed 10-year lead-time in composite time-trade-off (C-TTO) tasks might compromise the precision of utility values below - 1. This study explored how alternative lead-times (ALTs) influence EQ-5D-5L value sets and their implications in economic evaluations.

METHODS

Leveraging data from Taiwan's EQ-5D-5L valuation and capitalizing on its exploratory willingness-to-accept question, we explored participants' quantification of "worse-than-dead (WTD)" health states with ALTs up to 50 years. We then derived alternative value sets incorporating these ALTs through interval regression and compared them against those from conventional models. To evaluate their impact on health change valuation, we simulated utility differences for all possible EQ-5D-5L health-state-pairs using each value set.

RESULTS

With a salient floor effect observed in the C-TTO values, the model with ALT led to a wider range of predicted utilities ( - 2.3897 ~ 1), compared with those of conventional models (generalized least squares (GLS):  - 0.7773 ~ 1; Tobit-GLS:  - 0.9583 ~ 1). Compared to the Tobit-GLS model, the model with ALT increased the numerical distance in 80% of health-state-pairs, with 11% decreasing and 9% altering direction (e.g., positive to negative) in utility differences.

CONCLUSIONS

While ALTs offer insights into patient preferences, their integration into economic evaluations might require rescaling. Future research should prioritize advanced rescaling methods or enhanced elicitation strategies for populations with substantial censoring. This is pivotal for improving the elicitation of extreme WTD states and accurately discerning the relative distances between health states. Countries developing EQ-5D-5L value sets should consider pilot studies and incorporating region-specific questions on social determinants, especially where pronounced floor effects are suspected.

Estimating the SF-6Dv1 Value Set for a Population-Based Sample in Lebanon

OBJECTIVES

The SF-6Dv1 is a preference-based measure derived from the SF-36 for use in quality-adjusted life-year estimation for cost-utility analysis. Country-specific value sets for SF-6Dv1 are needed to reflect societal preferences but none are available for Lebanon and other Arabic countries. This study aimed to generate a value set for SF-6Dv1 for Lebanon and to compare results with the UK set.

METHODS

A sample of 249 health states defined by the SF-6Dv1 were valued by a representative sample of 577 members of the Lebanon general population, using standard gamble. Several multivariate regression models at mean and individual level were fitted to estimate utilities for all SF-6Dv1 states with selection of best fitting models based on predictive ability, consistency, and model fit. The best fitting models were compared with those fitted in the UK study.

RESULTS

Data from 553 eligible respondents providing 3308 valuations were used for the analysis. Lebanese values were consistently higher than UK values, indicating differences in preferences, and there were no negative values. The random effects model using only main effects was the best performing model. There were inconsistencies in 2 dimensions, thereby consistent models were estimated with values ranging from 0.367 to 1. The results are consistent with the UK results.

CONCLUSIONS

This study provides the first population-based value set for SF-6Dv1 health states for Lebanon, making it possible to generate quality-adjusted life-years for cost-utility analysis studies. The potential for applications of a standardized utility measure is enormous both in Lebanon and all Arab countries.

Valuation of EQ-5D-5L in the Kingdom of Saudi Arabia: A National Representative Study

OBJECTIVES

To estimate a Saudi-specific value set for the EQ-5D-5L questionnaire using the EuroQol Valuation Technology program and the EuroQol Group's standard protocol.

METHODS

Participants were quota-sampled from the Saudi adult population based on residency location, age group, gender, education level, and employment status. The participants were guided through the completion of composite time trade-off (cTTO) and discrete choice experiment (DCE) tasks by trained interviewers using EuroQol Valuation Technology software. Quality control (QC) measures were used to ensure good data quality. Random intercept and Tobit models analyzed the cTTO data, as well as models correcting for heteroskedasticity. DCE data were analyzed using conditional logit models, whereas hybrid models were used to analyze the cTTO and DCE data jointly. To evaluate model performance, prediction accuracy, logical consistency, significance level, and goodness of fit were used.

RESULTS

The valuation study included a representative sample of the Saudi population (N = 1000). The hybrid heteroskedastic model without a constant was chosen as the preferred model for generating the value set. The predicted values ranged from -0.683 for the worst health state ("55555") to 1 for the full health state ("11111"). Pain and discomfort had the largest impact on health-state preference values, whereas usual activities had the least.

CONCLUSION

The value set for the Kingdom of Saudi Arabia is the first value set for the EQ-5D-5L for any country in the Middle East. The value set can be used in Saudi health system economic evaluations and decision making.

Estimation of Societal Values of Health States Preferences at the National Level for Low- and Middle-Income Countries

OBJECTIVES

Social preference values of health states are a fundamental input for the preparation of studies in health economics. Several countries have undertaken studies to obtain these values. Our objective was to conduct a structured and systematic literature review of articles that calculates this set of representative values at the national level in low- and middle-income countries (LMICs).

METHODS

In this systematic review, we searched the Embase, MEDLINE, Ovid, SciELO, and LILACS databases, among others, for studies published up to June 2022 that estimated nationally representative health states preferences values for LMICs. We summarized the information qualitatively and assessed the risk of bias in each article using the consensus-based standards for selecting health measurement instruments checklist tool.

RESULTS

Of the 23 663 articles identified, 35 studies were eligible for inclusion. The studies were from 19 countries in Latin-American, Europe, Africa, and Asia. No studies were found for low-income countries. The most commonly applied generic instrument for measuring health-related quality of life was the 5-level version of EQ-5D and 3-level version of EQ-5D. Preference was given to face-to-face administration of these instruments. The sociodemographic variables with the most significant negative correlation versus utility were older adults, marital status (widowed or divorced), and low educational level and income.

CONCLUSIONS

Worldwide, there have been few studies that have estimated, in a nationally representative manner, the social values of health states preferences in LMICs. We consider the local estimate of this set of societal values relevant for any society to improve decision making in allocating resources in health budgets.

Discrete Choice Experiments in Health State Valuation: A Systematic Review of Progress and New Trends

BACKGROUND

Discrete choice experiments (DCEs) are increasingly used in health state valuation studies.

OBJECTIVE

This systematic review updates the progress and new findings of DCE studies in the health state valuation, covering the period since the review of June 2018 to November 2022. The review reports the methods that are currently being used in DCE studies to value health and study design characteristics, and, for the first time, reviews DCE health state valuation studies published in the Chinese language.

METHODS

English language databases PubMed and Cochrane, and Chinese language databases Wanfang and CNKI were searched using the self-developed search terms. Health state valuation or methodology study papers were included if the study used DCE data to generate a value set for a preference-based measure. Key information extracted included DCE study design strategies applied, methods for anchoring the latent coefficient on to a 0-1 QALY scale and data analysis methods.

RESULTS

Sixty-five studies were included; one Chinese language publication and 64 English language publications. The number of health state valuation studies using DCE has rapidly increased in recent years and these have been conducted in more countries than prior to 2018. Wide usage of DCE with duration attributes, D-efficient design and models accounting for heterogeneity has continued in recent years. Although more methodological consensus has been found than in studies conducted prior to 2018, this consensus may be driven by valuation studies for common measures with an international protocol (the 'model' valuation research). Valuing long measures with well-being attributes attracted attention and more realistic design strategies (e.g., inconstant time preference, efficient design and implausible states design) were identified. However, more qualitative and quantitative methodology study is still necessary to evaluate the effect of those new methods.

CONCLUSIONS

The use of DCEs in health state valuation continues to grow dramatically and the methodology progress makes the method more reliable and pragmatic. However, study design is driven by international protocols and method selection is not always justified. There is no gold standard for DCE design, presentation format or anchoring method. More qualitative and quantitative methodology study is recommended to evaluate the effect of new methods before researchers make methodology decisions.

A national survey of Iranian general population to estimate a value set for the EQ-5D-5L

OBJECTIVES

The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran.

METHODS

The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model.

RESULTS

According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from - 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values.

CONCLUSIONS

The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.

The Egyptian EQ-5D-5L Extensive Pilot Study: Lessons Learned

OBJECTIVES

To investigate the effect of an extensive pilot phase in improving protocol compliance, face validity, reduction of interviewer effect and prediction errors in the composite time trade-off (cTTO) data elicited as part of the EQ-5D-5L valuation study in Egypt.

METHODS

This study used the cTTO data and quality control (QC) reports from the Egyptian EQ-5D-5L valuation study. Three-level mixed models were estimated to test whether interviewer effects were reduced during the pilot phase and subsequent rounds of collected cTTO data. Ordinary least square (OLS) regression analysis was conducted for each interviewer separately to test whether the mean absolute error (MAE) improved as interviewers completed more interviews. Moreover, improvement in protocol compliance, face validity and reduction of prediction errors in the cTTO data were tested.

RESULTS

1180 interviews were conducted by nine interviewers and included in the final analysis, of which 206 interviews were pilot and 974 interviews were actual. There was substantial improvement in the face validity and reduction of prediction errors in the cTTO data where the MAE of the actual data was 0.37, which is much lower than that of the pilot data, which was 0.44. However, there was an initial high level of protocol compliance in terms of the four indicators of the QC tool and the variance attributed to the interviewers was small throughout the whole study.

CONCLUSIONS

This study clarified the benefits of the pilot phase and the strict implementation of the QC tool in improving the face validity and the prediction accuracy of the cTTO data. However, a more extensive pilot phase may be more beneficial in EQ-5D-5L valuation studies that have issues initially with protocol compliance and interviewer effects.

An EQ-5D-5L Value Set for Belgium

OBJECTIVE

This study aimed to establish a Belgian EQ-5D-5L value set based on the preferences of the adult Belgian general population.

METHODS

The most recent EuroQol Valuation Technology (EQ-VT 2.1) protocol for EQ-5D-5L valuation studies was followed. Computer-assisted personal interviews were carried out in a representative sample of the adult Belgian population. Potential respondents were randomly selected from the National Register using a multistage, stratified, cluster sampling with unequal probability design. Each respondent valued 10 or 11 health states using composite time trade-off (cTTO) and 14 health states in seven paired choice tasks using a discrete choice experiment (DCE). Different model specifications were explored and assessed based on logical consistency, goodness of fit, predictive accuracy and theoretical considerations.

RESULTS

A total of 892 respondents were included in the analyses. The sample was representative of the Belgian adult population in terms of age, sex, region of residence, educational attainment, labour market status, self-assessed health status and health-related quality of life (HRQoL). The preferred model specification was a hybrid (DCE and cTTO data combined) multiplicative eight-coefficient model with intercept random effects and correction for heteroskedasticity. Values range from - 0.532 to 1. Loss of HRQoL is highest in the dimension pain/discomfort, closely followed by anxiety/depression.

CONCLUSIONS

This study developed a Belgian EQ-5D-5L value set, based on the preferences of the Belgian adult general population. It provides opportunities for future clinical and economic evaluations in healthcare, for the measurement of patient-reported outcomes and for population health assessments.

Determinants of Health Preferences Using Data from the Egyptian EQ-5D-5L Valuation Study

Objective

The aim of this study was to explore the impact of sociodemographic characteristics and illness experience on time trade-off (TTO)-based utility scores using data from the EQ-5D-5L Egyptian valuation study.

Methods

Data were from the Egyptian valuation study that was conducted using the adapted translated version of the EQ-VT to develop the Egyptian Tariff for the EQ-5D-5L based on preferences of the Egyptian population. Data were analysed using a series of univariate and multivariable censored linear regression models adjusted for severity of health states where the dependent variable was the TTO scores and the independent variables included age, sex, education, geographical region, dwelling, marital status, number of people in the household, employment status, having health insurance, number of chronic conditions, previous experience with illness, and self-rated health.

Results

Age, sex, education, marital status, dwelling, region of residence, health insurance and multimorbidity were significantly associated with health state valuations, while employment status, number of people in a household, religion, and previous experience with illness had non-significant associations.

Conclusion

Age, sex and marital status are the main determinants of health state valuation in the Egyptian population, a finding consistent with those from other countries. Knowing these factors will help tailor health services provided and improve patient-centered care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40271-022-00572-0.