Technology advancement is driving electric vehicle adoption.

Electric vehicle sales have been growing rapidly in the United States and around the world. This study explores the drivers of demand for electric vehicles, examining whether this trend is primarily a result of technology improvements or changes in consumer preferences for the technology over time. We conduct a discrete choice experiment of new vehicle consumers in the United States, weighted to be representative of the population. Results suggest that improved technology has been the stronger force. Estimates of consumer willingness to pay for vehicle attributes show that when consumers compare a gasoline vehicle to its battery electric vehicle (BEV) counterpart, the improved operating cost, acceleration, and fast-charging capabilities of today's BEVs mostly or entirely compensate for their perceived disadvantages, particularly for longer-range BEVs. Moreover, forecasted improvements of BEV range and price suggest that consumer valuation of many BEVs is expected to equal or exceed their gasoline counterparts by 2030. A suggestive market-wide simulation extrapolation indicates that if every gasoline vehicle had a BEV option in 2030, the majority of new car and near-majority of new sport-utility vehicle choice shares could be electric in that year due to projected technology improvements alone.

Understanding the experience, treatment preferences and goals of people living with chronic lymphocytic leukemia (CLL) in Australia.

BACKGROUND: Listening to patient voices is critical, in terms of how people experience their condition as well as their treatment preferences. This research explored the patient journey, therapy attributes and goals among treatment experienced adults with chronic lymphocytic leukemia (CLL). We sought to understand patient experiences, needs and expectations to identify areas for improvement of treatment and care delivery. METHODS: Two online surveys were developed for completion by CLL patients. In Stage 1, participants completed a best-worst scaling (BWS) task to evaluate eleven previously validated healthcare journey moments that matter (MTM). Responses were used to generate the patient experience index (PEI) score. In Stage 2, participants completed a survey that included both a discrete choice experiment (DCE) to assess drivers of treatment preferences by evaluating the relative attribute importance (RAI) of seven features and a BWS exercise which explored long-term treatment goals. RESULTS: Twenty-five patients completed Stage 1 and thirty patients Stage 2. Treatment experience was balanced between oral and intravenous medication. The most important/least satisfied MTM were treatment effectiveness, access to support and other treatments as well as monitoring progress. The median PEI score was 66.2 (out of 100). DCE results demonstrated that patients most value treatments for CLL that are associated with prolonged progression free survival (PFS; RAI: 24.6%), followed by treatments that have a lower risk of severe side effects and lower out-of-pocket costs (RAI: 19.5%, 17.4%, respectively). The remainder of the weight in decision making (38.5%) was split between the remaining attributes, namely 'mild to moderate side effects' (13.4%), 'long-term risks' (12.2%), type of treatment (i.e., oral, IV or a combination of oral and IV; 8.7%) and treatment duration (i.e., ongoing versus fixed; 4.2%). Patients preferred oral to intravenous therapy. The most valued long-term treatment goal was to be physically healthy, followed by living a long life, spending time with family/friends, and avoiding hospitalization. CONCLUSION: Treatment experienced patients with CLL are focused on receiving effective, safe therapies and value long PFS. Consideration and discussion of other attributes, such as once daily dosing, oral only medication, out-of-pocket costs and access to support services may affect patient treatment choices and ultimately enhance their healthcare experience and outcomes.

Patients' preferences for chronic lymphocytic leukemia treatment: The CHOICE study.

Chronic lymphocytic leukemia (CLL) therapies differ in efficacy, side effects, route, frequency, and duration of administration. We assessed patient preferences for treatment attributes and evaluated associations with disease stage, treatment line, and socio-demographic characteristics in a cross sectional, observational study conducted at 16 Italian hematology centers. Study visits occurred between February and July 2020; 401 adult patients with CLL (201 Watch and Wait (W&W), 200 treated) participated in a discrete choice experiment (DCE), composed of 8 choices between pairs of treatment profiles with different levels of 5 attributes of currently available CLL treatments (length of response, route and duration of administration, risk of side effects including diarrhea, infections, or organ damage). Health-related quality of life was assessed with the EQ-5D-5L, EORTC QLQ-C30 and QLQ CLL-16. Previously treated patients had longer disease duration (7 vs. 5 years), higher prevalence of serious comorbidities (45.5% vs. 36.2%) and high-risk molecular markers (unmutated IGHV 55.6% vs. 17.1%; TP53 mutation 15.2% vs. 4.0%). Health-related quality of life scores were similar between groups. In the DCE, W&W patients rated "possible occurrence of infections" highest (relative importance [RI] = 36.2%), followed by "treatment and relevant duration" (RI = 28.0%) and "progression-free survival (PFS)" (RI = 16.9%). Previously treated patients rated "treatment and relevant duration" highest (RI = 33.3%), followed by "possible occurrence of infections" (RI = 28.8%), "possible occurrence of organ damage" (RI = 19.4%), and "PFS" (RI = 9.8%). Concern over infection was rated highest overall; unexpectedly PFS was not among the most important criteria in either group, suggesting that the first COVID-19 pandemic wave may have influenced patient preferences and concerns about CLL therapy options.

Two Methods, One Story? Comparing Results of a Choice Experiment and Multidimensional Thresholding From a Clinician Preference Study in Aneurysmal Subarachnoid Hemorrhage.

OBJECTIVES: An increasing number of methods are used to elicit health preference information. It is unclear whether different elicitation methods produce similar results and policy advice. Here, we compared the results from a discrete choice experiment (DCE) and multidimensional thresholding (MDT) that were conducted in the same sample. METHODS: Clinicians (N = 350) completed a DCE and MDT to elicit their preferences for 4 attributes related to the medical management of subarachnoid hemorrhage after aneurysm repair. Preference weights were compared between the DCE and MDT using a complete combinatorial convolution test. Additionally, data from the DCE and MDT were used to compute preference-based net treatment values for 16 hypothetical treatment profiles versus 1000 simulated comparators. The implied treatment recommendations were compared between the DCE and MDT. RESULTS: Preference weight distributions and median weights did not differ significantly between the DCE and MDT for any attribute: likelihood of delayed cerebral ischemia (medians 0.48 vs 0.40; P = .41), risk of lung complications (medians 0.27 vs 0.30; P = .52), risk of hypotension (medians 0.10 vs 0.11; P = .55), and risk of anemia (medians 0.07 vs 0.07; P = .50). The DCE and MDT produced similar treatment net value distributions (P > .05) and implied the same treatment recommendations in 82.3% of cases. CONCLUSIONS: The DCE and MDT elicited similar preference distributions and produced the same treatment recommendations for most tested cases. However, the share of people supporting the average treatment recommendation differed. More research is needed to determine how these findings would compare with those in other populations (in particular, patients) and applications.

A Direct Comparison Between Discrete Choice With Duration and Composite Time Trade-Off Methods: Do They Produce Similar Results?

OBJECTIVES: Discrete choice experiments including a duration attribute (DCEd) represent a promising candidate method for valuing health-related quality-of-life instruments. However, it has not been established that DCEd can produce similar results as composite time trade-off (cTTO) or EuroQol Valuation Technology (EQ-VT) valuations of the EQ-5D-5L instrument. This study provides a direct comparison between cTTO and EQ-VT, and DCEd valuation methods. METHODS: An EQ-VT study was conducted in Trinidad and Tobago to value the EQ-5D-5L. 1079 respondents each completed 10 cTTO tasks and 12 discrete choice experiments tasks without a duration attribute. A separate sample of 970 respondents each completed 18 split-triplet DCEd tasks. Several regression models were applied to the EQ-VT data, and the DCEd data were analyzed using mixed logit models with an exponential discount rate. The estimated values were compared using scatterplots and Bland-Altman plots. RESULTS: The ordering of dimensions was identical in level 5 for cTTO/EQ-VT and DCEd models, with pain/discomfort being the most important dimension and usual activities being least important. cTTO/EQ-VT models produced a value for state 55555 ranging between -0.52 and -0.69, whereas this was -0.543 for the nonlinear mixed logit model for the DCEd data. Scatterplots and Bland-Altman plots suggested excellent agreement between cTTO/EQ-VT and DCEd-based estimates. CONCLUSIONS: CTTO/EQ-VT and DCEd valuations produce similar results when correcting DCEd for nonlinear time preferences. The ordering of importance of the dimensions and scale are identical, suggesting that the 2 methods measure the same construct and produce similar results.

A new and improved experimental design for the discrete choice experiment module of the EQ-VT valuation 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 (cTTO) 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 sub-designs, 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.

Putting a Dollar Value on Informal Care Time Provided to People Living With Dementia: A Discrete Choice Experiment.

OBJECTIVES: Informal care represents a significant cost driver in dementia but monetizing informal care hours to inform cost-of-illness or economic evaluation studies remains a challenge. This study aimed to use a discrete choice experiment to estimate the value of informal care time provided to people with dementia in Australia accounting for positive and negative impacts of caregiving. METHODS: Attributes and levels were derived from a literature review, interviews with carers, and advice received from an advisory group. Attributes included 4 positive and negative caregiving experiences, in addition to "hours of care provided" and the "monetary compensation from the government." A D-efficient design was constructed with 2 generic alternatives that represented hypothetical informal caregiving situations. The discrete choice experiment survey was administered online to a representative sample of the Australian general population and a group of informal carers of people with dementia. The willingness to accept estimates were calculated for the 2 samples separately using the mixed logit model in the willingness to pay space. RESULTS: Based on 700 respondents included in the analysis (n = 488 general public, n = 212 informal carers), the mean willingness to accept for an additional hour of informal care, corrected for the positive and negative impacts of informal care, was $21 (95% CI 18-23) for the general public and $20 (95% CI 16-25) for the informal carers sample. CONCLUSION: The estimates generated in this study can be used to inform future cost-of-illness studies and economic evaluations, ensuring that informal care time is considered in future policy and funding decisions.

Attribute Development in Health-Related Discrete Choice Experiments: A Systematic Review of Qualitative Methods and Techniques to Inform Quantitative Instruments.

OBJECTIVES: This review sought to identify the qualitative methods and techniques that researchers have used in the past decade to develop attributes and inform health-related discrete choice experiments (DCEs) surveys from a patient perspective. METHODS: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for reporting systematic reviews. An adapted appraisal tool following guidelines for reporting qualitative research for quantitative instruments and criteria for attribute development in DCEs was applied for quality assessment and data extraction. A narrative approach was used to synthesize data. This examination included consideration of issues pertaining to sampling, data collection, data analysis, attribute list reduction, wording, methodological adaptations to capture patient preferences, and testing the pre-experimental design decisions of the DCE survey. RESULTS: Of 8505 articles identified for abstract screening, 680 were included for full-text screening, 36 of which met the inclusion criteria. Practices to improve methodological robustness included pre-data collection materials to inform instruments, data collection methods specific for decision-making scenarios, purposeful selection of data analysis methods to address the research question, and participants' involvement in reducing the list of attributes. Examples of methodological adaptations for patients were noted. CONCLUSIONS: DCEs have the potential to become a mixed-method approach in which the qualitative phase informs a reduced list of attributes for a survey, serves the predesign decisions of the experiment by testing trade-offs, overlapping, understandability, face, and content validity and provides explanations of the quantitative results. Establishing guidelines for using qualitative methods for DCE attribute development may help to broadly enhance the methodological robustness of DCEs.

Preferences for Long-Acting PrEP Products Among Women and Girls: A Quantitative Survey and Discrete Choice Experiment in Eswatini, Kenya, and South Africa.

While oral pre-exposure prophylaxis (PrEP) can substantially reduce HIV risk, there are important barriers to uptake and adherence. We explored preferences for long-acting injectable and implantable PrEP among women and girls in Eswatini, Kenya, and South Africa. We conducted an online quantitative survey and discrete choice experiment (DCE) among adolescent girls (15-17), young women (18-29), and adult women (30-49). Participants completed a survey about their demographics and behavior and a DCE with 5 attributes (format, insertion location, number of insertions, dual-protection, and palpability). We recruited 1236 respondents (Eswatini = 420; Kenya = 350; South Africa = 493) in May 2022. Most participants were sexually active (72%), nearly 29% of whom reported recently engaging in transactional sex. 46% had heard of oral PrEP, but of those, only 16% reported having ever used it. Product format and dual-protection were significant predictors of product choice. Relative to a 2-month injection, participants had 1.76 times the odds (95% CI 1.08-2.04) of choosing a 6-month injectable, and 1.70 the odds (95% CI 1.06-1.92) of choosing a 12-month removable implant. Compared to a single-indication product, respondents had 2.46 times the odds (95% CI 1.04-2.68) of preferring a product also protecting against pregnancy, and 2.81 the odds (95% CI 1.04-3.05) of choosing a product that also protected against STIs. Adolescent girls and women in these countries showed strong preferences for longer-acting PrEP product formats, as well as those offering dual-protection. Introduction of long-acting options could improve PrEP uptake and reduce HIV burdens in east and southern African settings.

Identifying HIV PrEP Attributes to Increase PrEP Use Among Different Groups of Gay, Bisexual, and Other Men Who Have Sex with Men: A Latent Class Analysis of a Discrete Choice Experiment.

Daily pre-exposure prophylaxis (PrEP) is highly effective at preventing HIV among gay, bisexual, and other men who have sex with men (GBMSM), although uptake remains suboptimal. By identifying the features of PrEP that appeal to various subgroups of GBMSM, this study aimed to improve PrEP uptake by examining preferences for PrEP use. Adults ≥ 18 years old in six New England states completed an online discrete choice experiment survey. A latent class analysis (LCA) was conducted to identify groups of GBMSM based on four attributes of choices for PrEP (cost, time, side effects, and mode of administration). Multinominal logistic regression was conducted to compare the association between sociodemographic and behavioral characteristics and class memberships. Data from 675 GBMSM were analyzed. A 3-Class model was selected as the best fit model. Class 1 (47.7% of individuals) was identified as having "no specific preferences". Class 2 (18.5% of individuals) were "Cost- and time-conscious" and were significantly more likely to be older, have prior sexually transmitted infection (STI) testing, have low household income, private insurance, and have extreme concerns about HIV risk than those with no specific preference (Class 1). Finally, Class 3 (34.1% of individuals) were "Side effects-conscious" and were more likely to have low income, private insurance, and have moderate and extreme concerns about HIV risk than those with no specific preference (Class 1). Findings indicate that outreach to GBMSM who have never used PrEP should emphasize low cost and short travel times to increase potential PrEP use.

Preferences of people living with HIV for injectable and oral antiretroviral treatment in the Netherlands: a discrete choice experiment.

ABSTRACTInjectable antiretroviral treatment (ART) represents a new effective and potentially more convenient alternative to oral ART for people living with HIV (PLWH). This study assessed preferences of PLWH for long-acting injectable compared with oral ART in the Netherlands. A labelled discrete choice experiment presented 12 choice sets of long-acting injectable and oral ART. PLWH were asked to select their preferred ART, described by six attributes: location of administration, dosing frequency, risk of short-term side effects, drug-drug interaction, forgivability, and food and mealtime restrictions. Random parameters logit and latent class models were used to estimate preferences of PLWH. 98.6% of 76 respondents were experienced oral ART users that had taken ART for a median of 12 years (Q1-Q3: 7.0-20.0). 30 (39.5%) respondents chose long-acting injectable ART in all choice tasks and 22 (28.9%) always chose oral ART. The random parameter model showed that, on average, respondents significantly favoured long-acting injectable ART over oral ART, preferred administration of the long-acting injectable ART at home, and a less frequent regimen. The latent class model confirmed one class strongly preferring long-acting injectable ART and one class slightly preferring oral ART. This study highlights the value for both long-acting injectable and oral ART.

Scoping review of values elicitation tools for treatment decisions in hepatocellular carcinoma.

BACKGROUND: Treatment choices in hepatocellular carcinoma (HCC) involve consideration of tradeoffs between the benefits, toxicities, inconvenience, and costs. Stated preference elicitation methods have been used in the medical field to help evaluate complex treatment decision-making. The aim of this study was to conduct a scoping review to assess the evidence base for the use of preference elicitation tools or willingness to pay/willingness to accept methods for HCC treatment decision-making from both the patient and provider perspective. METHODS: We performed a scoping review to identify abstracts or manuscripts focused on the role preference elicitation tools or willingness to pay/willingness to accept methods for HCC treatment options among patients, caregivers, and/or providers. Two researchers independently screened full-text references and resolved conflicts through discussion. We summarized key findings, including the type and setting of preference-elicitation tools used for HCC treatment decisions. RESULTS: Ten published abstracts or manuscripts evaluated the role of preference elicitation tools for HCC treatments. The studies revealed several attributes that are considered by patients and providers making HCC treatment decisions. Many of the studies reviewed suggested that while patients place the most value on extending their overall survival, they are willing to forgo overall survival to avoid risks of treatments and maintain quality of life. Studies of physicians and surgeons found that provider preferences are dependent on patient characteristics, provider specialty, and surgeon or hospital-related factors. CONCLUSION: This scoping review explored both patient and physician preferences towards treatment modalities in all stages of HCC. The studies revealed a large scope of potential attributes that may be important to patients and that many patients are willing to forgo survival to maintain quality of life. Further research should explore both preference elicitation of currently available and emerging therapies for HCC as well as the use of this data to develop patient-facing tools to assist in navigating treatment options.

Patient preferences for preventive migraine treatments among Canadian adults: A discrete choice experiment.

OBJECTIVE: To evaluate preferences for key attributes of injected or infused preventive migraine treatments and assess heterogeneity in preferences among Canadian participants with migraine. BACKGROUND: Current treatment options for migraine prevention differ in their attributes, including mode of administration, efficacy, and dosing frequency; preferences for such attributes can vary among patients. With the advent of new therapies, evidence demonstrating patient preferences for injected or infused preventive migraine treatments is necessary. METHODS: Canadian adults self-reporting a diagnosis of migraine completed a cross-sectional, internet-based survey that included a discrete choice experiment. Participants were presented with attributes of preventive migraine treatments, including speed of onset, durability of efficacy, mode of administration, administration setting, and dosing frequency. Latent class analysis (LCA) was used to identify subgroups of patients who differed in their treatment preferences. RESULTS: In total, 200 participants completed the survey. Participants' treatment preferences were most sensitive to improvements in the durability of effectiveness from "wears off 2 weeks before next dose" to "does not wear off before the next dose" (absolute difference in weights = |-0.95 to 1.07| = 2.02) and improvements from "cranial injections" to "intravenous infusions" (|-1.04 to 0.58| = 1.62); participants equally preferred self-injection and intravenous infusion from a health-care provider (mean weight = 0.58 and 0.47, respectively) as a route of administration over cranial injections (mean weight = -1.04). Three subgroups were identified with LCA: group one (n = 103) prioritized fast-acting and durable therapies, group two (n = 54) expressed aversion to cranial injections, and group three (n = 43) favored treatments administered in a health-care provider setting. CONCLUSIONS: In this sample of Canadian adults with migraine, we showed that durability of effectiveness and mode of administration are key attributes influencing patient preferences for preventive migraine treatments; however, certain groups of patients may differ in their treatment priorities. Our results highlight the need for patient-provider discussions regarding treatment attributes and consideration of patients' preferences when selecting a preventive migraine treatment.

Asthma remission one, none and one-hundred thousand: the relevance of the patient's view.

OBJECTIVE: Achieving remission in severe asthma holds paramount importance in elevating patient quality of life and reducing both individual and societal burdens associated with this chronic condition. This study centers on identifying pivotal patient-relevant endpoints through standardized, reproducible methods, while also developing a patient-centric definition of remission, essential for effective disease management. METHODS: A discrete choice experiment (DCE) was conducted to assess patients' perceptions on the four primary criteria for defining severe asthma remission, as outlined by the SANI survey. Additionally, it investigated the correlation between these perceptions and improvements in the doctor-patient therapeutic alliance during treatment decision-making. RESULTS: 249 patients (70% aged between 31-60, 59% women and 82% without other pathologies requiring corticosteroids) prioritize the use of oral corticosteroids (OCS, 48%) and the Asthma Control Test (ACT, 27%) in defining their condition, ranking these above lung function and exacerbations. This preference for OCS stems from its direct role in treatment, tangible tracking, immediate symptom relief, and being a concrete measure of disease severity compared to the less predictable and quantifiable exacerbations. CONCLUSIONS: This study explores severe asthma remission from patients' perspectives using clinician-evaluated parameters. The DCE revealed that most patients highly value OCS and the ACT, prefer moderate improvement, and avoid cortisone cycles. No definitive preference was found for lung function status. Integrating patient-reported information with professional insights is crucial for effective management and future research. Personalized treatment plans focusing on patient preferences, adherence, and alternative therapies aim to achieve remission and enhance quality of life.

Attributes for a discrete-choice experiment on preferences of patients for oncology pharmacy consultations.

PURPOSE: To ensure the safe use of oral anticancer drugs, oncology pharmacy consultations (OPCs) have been established in France. They are conditioned by the needs, expectations, and involvement of the patients in their care. Thus, it is essential to elicit their preferences. The discrete-choice experiment (DCE) is a method recommended by the ISPOR for such a task. The "selection and validation of attributes and their values" step is fundamental in this process. In this context, the aim of this study was to present our research approach to identify and validate the attributes that characterize an OPC and their values. METHODS: Due to the lack of relevant published data in the literature, the focus-group method was used in accordance with good research practices for the application of conjoint-analysis of the ISPOR. The two-round Delphi method was used to validate the attributes and their values identified by the focus-group method. RESULTS: The focus-group method enabled identification of nine attributes. Thirty-seven healthcare professionals at a national level, including 30 pharmacists and seven physicians, were selected to take part in the Delphi procedure. Seven attributes (frequency, planification, operation mode, duration, content, written support, and report) and their values were thus validated. CONCLUSION: Based on these results, the next step will be to elicit patient preferences for OPCs and to then shed light on the issues of pharmaceutical support for patients by comparing their preferences with those of informal caregivers and, in particular, those of the healthcare professionals involved in their care.

QALY-type preference and willingness-to-pay among end-of-life patients with cancer treatments: a pilot study using discrete choice experiment.

PURPOSE: Quality-adjusted life-year (QALY) is a dominant measurement of health gain in economic evaluations for pricing drugs. However, end-of-life (EoL) patients' preference for QALY gains in life expectancy (LE) and quality of life (QoL) during different disease stages remains unknown and is seldom involved in decision-making. This study aims to measure preferences and willingness-to-pay (WTP) towards different types of QALY gain among EoL cancer patients. METHODS: We attributed QALY gain to four types, gain in LE and QoL, respectively, and during both progression-free survival (PFS) and post-progression survival (PPS). A discrete choice experiment including five attributes (the four QALY attributes and one cost attribute) with three levels each was developed and conducted with 85 Chinese advanced non-small cell lung cancer patients in 2022. All levels were set with QALY gain/cost synthesised from research on anti-lung cancer drugs recently listed by Chinese National Healthcare Security Administration. Each respondent answered six choice tasks in a face-to-face interview. The data were analysed using mixed logit models. RESULTS: Patients valued LE-related QALY gain in PFS most, with a relative importance of 81.8% and a WTP of $43,160 [95% CI 26,751 ~ 59,569] per QALY gain. Respondents consistently preferred LE-related to QoL-related QALY gain regardless of disease stage. Patients with higher income or lower education levels tended to pay more for QoL-related QALY gain. CONCLUSION: Our findings suggest a prioritised resource allocation to EoL-prolonging health technologies. Given the small sample size and large individual heterogeneity, a full-scale study is needed to provide more robust results.

Valuing the SF-6Dv2 in the capital of Iran using a discrete choice experiment with duration.

BACKGROUND: The second version of the Short-Form 6-Dimension (SF-6Dv2) classification system has recently been developed. The objective of this study was to develop a value set for SF-6Dv2 based on the societal preferences of a general population in the capital of Iran. METHODS: A representative sample of the capital of Iran (n = 3061) was recruited using a stratified multistage quota sampling technique. Face-to-face interviews were conducted using binary choice sets from the international valuation protocol of the discrete choice experiment with duration. The conditional logit was used to estimate the final value set, and a latent class model was employed to assess heterogeneity of preferences. RESULTS: Coefficients generated from the models were logically consistent and significant. The best model was the one that included an additional interaction term for cases where one or more dimensions reached their most severe levels. It provides a value set with logical consistent coefficients and the lowest percentage of worse than death health states. Predicted values for the SF-6Dv2 were within the range of - 0.796-1. Pain dimension had the largest impact on utility decrement, whereas vitality had the least impact. The presence of preference heterogeneity was evident, and the Bayesian Information Criterion indicated the optimal fit for a latent class model with two classes. CONCLUSION: This study provided the SF-6Dv2 value set for application in the context of Iran. This value set will facilitate the use of the SF-6Dv2 instrument in health economic evaluations and clinical settings.

Danish value sets for the EORTC QLU-C10D utility instrument.

PURPOSE: In this study, we developed Danish utility weights for the European Organisation for Research and Treatment of Cancer (EORTC) QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30. METHODS: Following a standardized methodology, 1001 adult participants from the Danish general population were quota-sampled and completed a cross-sectional web-based survey and discrete choice experiment (DCE). In the DCE, participants considered 16 choice sets constructed from the key 10 dimensions of the QLU-C10D and chose their preferred health state for each one. Utility weights were calculated using conditional logistic regression with correction for non-monotonicity. RESULTS: The sample (n = 1001) was representative of the Danish general population with regard to age and gender. The domains with the largest utility decrements, i.e., the domains with the biggest impact on health utility, were physical functioning (- 0.224), pain (- 0.160), and role functioning (- 0.136). The smallest utility decrements were observed for the domains lack of appetite (- 0.024), sleep disorders (- 0.057), and fatigue (- 0.064). Non-monotonicity of severity levels was observed for the domains sleep disturbances, lack of appetite, and bowel problems. Deviations from monotonicity were not statistically significant. CONCLUSION: The EORTC QLU-C10D is a relatively new multi-attribute utility instrument and is a promising cancer-specific health technology assessment candidate measure. The country-specific Danish utility weights from this study can be used for cost-utility analyses in Danish patients and for comparison with other country-specific utility data.

Eliciting a value set for the Swedish Capability-Adjusted Life Years instrument (CALY-SWE).

PURPOSE: Our aim was to elicit a value set for Capability-Adjusted Life Years Sweden (CALY-SWE); a capability-grounded quality of life instrument intended for use in economic evaluations of social interventions with broad consequences beyond health. METHODS: Building on methods commonly used in the quality-adjusted life years EQ-5D context, we collected time-trade off (TTO) and discrete choice experiment (DCE) data through an online survey from a general population sample of 1697 Swedish participants. We assessed data quality using a score based on the severity of inconsistencies. For generating the value set, we compared different model features, including hybrid modeling of DCE and TTO versus TTO data only, censoring of TTO answers, varying intercept, and accommodating for heteroskedasticity. We also assessed the models' DCE logit fidelity to measure agreement with potentially less-biased DCE data. To anchor the best capability state to 1 on the 0 to 1 scale, we included a multiplicative scaling factor. RESULTS: We excluded 20% of the TTO answers of participants with the largest inconsistencies to improve data quality. A hybrid model with an anchor scale and censoring was chosen to generate the value set; models with heteroskedasticity considerations or individually varying intercepts did not offer substantial improvement. The lowest capability weight was 0.114. Health, social relations, and finance and housing attributes contributed the largest capability gains, followed by occupation, security, and political and civil rights. CONCLUSION: We elicited a value set for CALY-SWE for use in economic evaluations of interventions with broad social consequences.

Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire.

PURPOSE: This study aimed to develop a Japanese value set for the EORTC QLU-C10D, a multi-attribute utility measure derived from the cancer-specific health-related quality-of-life (HRQL) questionnaire, the EORTC QLQ-C30. The QLU-C10D contains ten HRQL dimensions: physical, role, social and emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems. METHODS: Quota sampling of a Japanese online panel was used to achieve representativeness of the Japanese general population by sex and age (≥ 18 years). The valuation method was an online discrete choice experiment. Each participant considered 16 choice pairs, randomly assigned from 960 choice pairs. Each pair included two QLU-C10D health states and life expectancy. Data were analyzed using conditional logistic regression, parameterized to fit the quality-adjusted life-year framework. Preference weights were calculated as the ratio of each dimension-level coefficient to the coefficient for life expectancy. RESULTS: A total of 2809 eligible panel members consented, 2662/2809 (95%) completed at least one choice pair, and 2435/2662 (91%) completed all choice pairs. Within dimensions, preference weights were generally monotonic. Physical functioning, role functioning, and pain were associated with the largest utility weights. Intermediate utility weights were associated with social functioning and nausea; the remaining symptoms and emotional functioning were associated with smaller utility decrements. The value of the worst health state was - 0.221, lower than that seen in most other existing QLU-C10D country-specific value sets. CONCLUSIONS: The Japan-specific QLU-C10D value set is suitable for evaluating the cost and utility of oncology treatments for Japanese health technology assessment and decision-making.