EQ-5D-5L Value Set for Slovenia

OBJECTIVES

The aim of this valuation study was to produce a value set to support the use of EQ-5D-5L data in decision making in Slovenia.

METHODS

The study design followed the published EuroQol research protocol, and a quota sample was defined according to age, sex, and region. Overall, 1012 adult respondents completed 10 time trade-off and seven discrete choice experiment tasks in face-to-face interviews. The Tobit model was used to analyse the composite time trade-off (cTTO) data in order to generate values for the 3125 EQ-5D-5L health states.

RESULTS

The data showed logical consistency, with more severe states being given lower values. The greatest disutility was shown in the pain/discomfort and anxiety/depression dimensions. In the EQ-5D-5L value set, the values range from -1.09 to 1. With the exception of UA5 (unable to perform usual activities), all other levels on all health dimensions were statistically different from 0 and from each other. Compared with the existing EQ-5D-3L value set, there is a slightly lower share of 'worse than dead' states (32.1% compared with 33.7%) and the minimum value is lower.

CONCLUSIONS

Results have important implications for users of the EQ-5D-5L in Slovenia and regions. It is a robust and up-to-date value set and should be the preferred value set used in adults in Slovenia and in neighbouring countries without their own value set.

Costs and Quality of Life in Patients With Systemic Arterial Hypertension in Slovenia

OBJECTIVES

Systemic arterial hypertension (SAH) is one of the most critical risk factors for morbidity in chronic noncommunicable diseases. The aim of this study was to estimate the costs incurred by and the health-related quality of life (HRQoL) for a sample of patients with AH aged ≥ 65, in 2019.

METHODS

A sample of 142 patients who were taking medicines for SAH was selected from the urban and rural areas. The patients consented to participate in the study. Patients also reported their out-of-pocket expenditures connected to SAH and their HRQoL. HRQoL was measured using generic 5-level version of EQ-5D (EQ-5D-5L) and the disease-specific MINICHAL questionnaires. Descriptive analysis was used to present the results. Calculations were made using R (v4.01) software.

RESULTS

A sample of 141 patients filled out 17-item MINICHAL and 142 filled out the EQ-5D-5L questionnaire. Patients' MINICHAL mood and somatic domain scores were 5.5 and 3.5, respectively. EQ-5D-5L mean index utility score was 0.7 and the mean EQ VAS was 70.9. Pain/discomfort was the most affected health dimension as 60.6% of patients reported having problems. The 2 HRQoL questionnaires are moderately correlated (-0.215). The average annual costs of SAH treatment amounted to €274.3 per patient. The largest share of costs is represented by pharmacological treatment (30.5%) and out-of-pocket expenses (28.2%).

CONCLUSIONS

Our study is the first study in Slovenia to assess the costs incurred by and HRQoL of patients with SAH using bottom-up approach and societal perspective. It offers important input in a decision-analytic model to assess cost-effectiveness of interventions to reduce the burden of SAH.

Predicting Patient-Level 3-Level Version of EQ-5D Index Scores From a Large International Database Using Machine Learning and Regression Methods

OBJECTIVES

This study aimed to evaluate the performance of machine learning and regression methods in the prediction of 3-level version of EQ-5D (EQ-5D-3L) index scores from a large diverse data set.

METHODS

A total of 30 studies from 3 countries were combined. Predictions were performed via eXtreme Gradient Boosting classification (XGBC), eXtreme Gradient Boosting regression (XGBR) and ordinary least squares (OLS) regression using 10-fold cross-validation and 80%/20% partition for training and testing. We evaluated 6 prediction scenarios using 3 samples (general population, patients, total) and 2 predictor sets: demographic and disease-related variables with/without patient-reported outcomes. Model performance was evaluated by mean absolute error and percent of predictions within clinically irrelevant error range and within correct health severity group (EQ-5D-3L index <0.45, 0.45-0.926, >0.926).

RESULTS

The data set involved 26 318 individuals (clinical settings n = 6214, general population n = 20 104) and 26 predictor variables plus diagnoses. Using all predictors and the total sample, mean absolute error values were 0.153, 0.126, and 0.131, percent of predictions within clinically irrelevant error range were 47.6%, 39.5%, and 37.4%, and within the correct health severity group were 56.3%, 64.9%, and 63.3% by XGBC, XGBR, and OLS, respectively. The performance of models depended on the applied evaluation criteria, the target population, the included predictors, and the EQ-5D-3L index score range.

CONCLUSIONS

Regression models (XGBR and OLS) outperformed XGBC, yet prediction errors were outside the clinically irrelevant error range for most respondents. Our results highlight the importance of systematic patient-reported outcome (EQ-5D) data collection. Dialogs between artificial intelligence and outcomes research experts are encouraged to enhance the value of accumulating data in health systems.

Comparison of Adult and Adolescent Preferences Toward EQ-5D-Y-3L Health States

OBJECTIVES

The international EQ-5D-Y-3L valuation protocol suggests obtaining preferences for EQ-5D-Y-3L health states from a sample of the general adult population. There is discussion around involving children and adolescents in the processes of preference elicitation and decision making. The objective of this study was to compare the preferences for EQ-5D-Y-3L obtained from adolescents for themselves to those of adults considering a hypothetical 10-year-old child in Germany, Slovenia, and Spain.

METHODS

A sample of a minimum of 700 adolescents and 1000 adults in each country was recruited through online panels. An online discrete choice experiment was used to obtain health-state preferences. For the purposes of comparison, all coefficients were rescaled to a 1 (best) to 0 (worst) scale. The differences between preferences in both samples were analyzed via the relative attribute importance of health dimensions from the mixed logit models.

RESULTS

Statistically significant differences between the preferences for EQ-5D-Y-3L states given by the 2 samples were observed in all 3 countries. The overall relative attribute importance was similar between adolescents and adults; adolescents usually gave more importance to mobility and self-care, and less to anxiety/depression. The rank-order of the dimension levels between adults and adolescents differs in all 3 countries.

CONCLUSIONS

Preferences toward EQ-5D-Y-3L states differ if estimated by adults taking the perspective of a child or by the adolescents themselves. Although it seems possible to obtain adolescents' preferences for inclusion in EQ-5D-Y-3L value sets, the desirability and acceptance of their preferences by researchers and decision makers need to be explored further.

EQ-5D-Y Value Set for Slovenia

BACKGROUND

A value set for the EuroQoL 5-Dimensions (EQ-5D)-Y in Slovenia is not yet available, making the calculation of quality-adjusted life-years (QALYs) for children and adolescents using this generic instrument impossible.

OBJECTIVE

The main objective of our study was to obtain adult preferences towards EQ-5D-Y health states in Slovenia, following the EQ-5D-Y-3L international valuation protocol. The adults were asked to take the perspective of a hypothetical 10-year-old child.

METHOD

A sample of 1074 adults in Slovenia completed an online discrete-choice experiment (DCE) survey on EQ-5D-Y health states. The latent scale issue was addressed by obtaining the value of the anchor (33333) with 200 composite time trade-off (cTTO) interviews. A mixed (random coefficients) logit model was used to estimate the value set.

RESULTS

All the estimated coefficients of the mixed logit model were statistically significant at the 1% level and had an expected negative sign. The most important health dimension in EQ-5D-Y is pain/discomfort, followed by anxiety/depression, usual activities, and mobility, with self-care being the least important health dimension.

CONCLUSIONS

The study addresses an important research gap and presents the EQ-5D-Y value set for Slovenia. At the time of writing, no published value sets are available for the EQ-5D-Y-3L appropriate for use in QALY calculations, making this value set the first EQ-5D-Y value set in the world.

How does Schwartz's theory of human values affect the proenvironmental behavior model?

Purpose

The diversity of perspectives means that one can find many factors and models of proenvironmental behavior. However, they typically suffer from limitations and varying degrees of validity in specific contexts, suggesting that today the prime goal should be to learn and improve the models which have been already developed. In this study, the authors build on the model for predicting proenvironmental behavior developed by Oreg and Katz-Gerro (2006), namely one of the most comprehensive cross-national proenvironmental behavior models and one of the few not to be limited to either a local or single-country context or specific proenvironmental behavior.

Design/methodology/approach

By using the statistical matching technique, the authors merged data from two existing databases without common identifiers – the International Social Survey Program (environmental module) and the European Social Survey (Round 5). The resulting multinational data concerning 9,710 observations enabled a replication with extensions of Oreg and Katz-Gerro's (2006) proenvironmental behavior model that incorporates newly added Schwartz's theory of human values. To achieve the study's main objective, that is, to present improvements to the original model of proenvironmental behavior, the authors used structural equation modeling (SEM) procedures to estimate four competing models in the R program.

Findings

This study implies that Schwartz's individually measured motivational types of values (benevolence [BE], universalism [UN], self-direction [SD]) are predictors of people's proenvironmental behavior, while his conceptualization of post-materialism yields a better model fit than Inglehart's country-level post-materialism scores. The results also corroborate previous findings that post-materialist values can stimulate proenvironmental behaviors through attitudes, perceived behavioral control and intentions. The present study reveals that proenvironmental attitudes did not change substantially in the 10-year period, even though the world's environmental and sustainability challenges have largely increased. Surprisingly, the mean value of several of the perceived threat variables even decreased.

Originality/value

The authors externally validate one of the most comprehensive proenvironmental behavior models by reproducing it using new multinational large-sample data with nearly 10,000 observations collected 10 years later. The most significant addition to the original model introduced in the current study is the inclusion of Schwartz's motivational types of values, which are measured at the individual level, namely BE, UN and SD. The authors also extend the model by adding proenvironmental behavior measures and group the construct into three latent variables: saving natural resources, green purchasing and environmental activism.

EQ-5D-5L Slovenian population norms

BACKGROUND

The study aims to present Slovenian EQ-5D-5L population norms for different age and gender subgroups that can be used as reference values in future studies concerning health status. The secondary aim is to compare those norms with population norms from some other countries in Europe and elsewhere.

METHODS

The cross-sectional survey was conducted between November 2019 and February 2020 via online panel. 1071 adults aged 18+ were included in the survey. The general population was sampled using quota sampling in terms of age, gender, and NUTS2 region. In the study, the EQ-5D-5L Slovenian online version was used. Descriptive statistics was used to present health status by age groups and genders for the EQ-5D-5L descriptive system, EQ VAS and the EQ-5D-5L index score. The latter was derived from Slovenian EQ-3D-3L tariff, transformed to five levels using the crosswalk methodology.

RESULTS

The mean EQ VAS score in the Slovenian population was 79.9, mean utility index was 0.808. 28.2% of the population did not have problems on any dimension and 3.9% of the population had problems on all dimensions. Persons residing in Western Slovenia had, on average, 0.016 higher utility score, compared to Eastern Slovenia. Effect of gender was not significant. Age was negatively associated with both utility index and EQ VAS score. Education was positively correlated to health status. Problems on dimensions were generally increasing with age, except for anxiety/depression dimension, where youngest group (ages 18-29) reported more anxiety/depression compared to older counterparts. Self-reported anxiety/depression was more pronounced in women.

CONCLUSIONS

Similarly to other countries, the health generally deteriorates with age, except for the anxiety/depression dimension where the share of respondents reporting no problems was lowest in the youngest age group. The open question for the future remains, whether population norms from this online sample differ significantly from the actual EQ-5D-5L health status data of the Slovenian general population.

Crosswalk EQ-5D-5L Value Set for Slovenia

INTRODUCTION

Due to the availability of the EQ-5D-5L instrument official translation into Slovenian its use is widespread in Slovenia. However, the health profiles obtained in many studies cannot be ascribed their appropriate values as the EQ-5D-5L value set does not yet exist in Slovenia. Our aim was to estimate an interim EQ-5D-5L value set for Slovenia using the crosswalk methodology developed by the EuroQol Group on the basis of the EQ-5D-3L Slovenian TTO value set. Our secondary aim was to compare the interim values obtained with the EQ-5D-3L Slovenian values.

METHODS

To obtain a Slovenian interim EQ-5D-5L value set, we applied the crosswalk methodology developed by the EuroQol Group to the Slovenian EQ-5D-3L TTO value set. We examined the differences between values by comparing the mean 3L and 5L value scores and the distribution of values across all respondents.

RESULTS

By definition, 3-level and 5-level versions have the same range (from 1 to -0.495) and a health state coded 22222 in the 3-level version corresponds to 33333 in the 5-level version. While the addition of a "slight" severity level (22222) in the 5-level version has a low informational value, the addition of a "severe" health state (44444) covers larger range of the scale. The 5-level version results in fewer health states being valued below 0 and above 0.8.

CONCLUSION

The EQ-5D-5L value set, based on the crosswalk methodology, should be used until a value set for the EQ-5D-5L is derived from preferences elicited directly from a representative sample of the Slovenian general population.

Questioning the differences between general public vs. patient based preferences towards EQ-5D-5L defined hypothetical health states

The purpose of this article is to explore whether any differences exist between the general population and patient based preferences towards EQ-5D-5L defined hypothetical health states. The article discusses the role of adaptation and self-interest in valuing health states and it also contributes rigorous empirical evidence to the scientific debate on the differences between the patient and general population preferences towards hypothetical health states. Patient preferences were elicited in 2015 with the EQ-5D-5L questionnaire using time trade-off and discrete choice experiment design and compared to the Spanish general population preferences, which were elicited using identical methods. Patients were chosen on a voluntary basis according to their willingness to participate in the survey. They were recruited from patient organisations and a hospital in Madrid, Spain. 282 metastatic breast cancer patients and 333 rheumatoid arthritis patients were included in the sample. The analysis revealed differences in preferences between the general population and patient groups. Based on the results of our analysis, it is suggested that the differences in preferences stem from patients being more able to accurately imagine "non-tangible" dimensions of health states (anxiety or depression, and pain or discomfort) than the general population with less experience in various health states. However, this does not mean that general public values should not be reflected in utilities derived for coverage decision making.

Improving the Methods for the Economic Evaluation of Medical Devices

Medical devices (MDs) have distinctive features, such as incremental innovation, dynamic pricing, the learning curve and organisational impact, that need to be considered when they are evaluated. This paper investigates how MDs have been assessed in practice, in order to identify methodological gaps that need to be addressed to improve the decision-making process for their adoption. We used the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist supplemented by some additional categories to assess the quality of reporting and consideration of the distinctive features of MDs. Two case studies were considered: transcatheter aortic valve implantation (TAVI) representing an emerging technology and implantable cardioverter defibrillators (ICDs) representing a mature technology. Economic evaluation studies published as journal articles or within Health Technology Assessment reports were identified through a systematic literature review. A total of 19 studies on TAVI and 41 studies on ICDs were analysed. Learning curve was considered in only 16% of studies on TAVI. Incremental innovation was more frequently mentioned in the studies of ICDs, but its impact was considered in only 34% of the cases. Dynamic pricing was the most recognised feature but was empirically tested in less than half of studies of TAVI and only 32% of studies on ICDs. Finally, organisational impact was considered in only one study of ICDs and in almost all studies on TAVI, but none of them estimated its impact. By their very nature, most of the distinctive features of MDs cannot be fully assessed at market entry. However, their potential impact could be modelled, based on the experience with previous MDs, in order to make a preliminary recommendation. Then, well-designed post-market studies could help in reducing uncertainties and make policymakers more confident to achieve conclusive recommendations. © 2017 The Authors. Health Economics published by John Wiley & Sons, Ltd.