Patient and general public preferences for health states: A call to reconsider current guidelines

Do We Understand Unmet Need? A Proposal to Use Length-Of-Life Equivalent (LOLE) as a Patient-Centric Measure of Unmet Need

Many decision-makers have emphasized the importance of leveraging patient experience data to measure unmet need. However, there is no standardized, patient-centric unmet need measure that formalizes how the value judgements inherent in such a measure should be made. Several initiatives have identified measuring unmet need as one of the primary uses of patient preference data. After reviewing how decision-makers define unmet need, this paper proposes that a thresholding method could be used to generate a standardized, patient-centric, disease-agnostic, quantitative unmet need estimate, length of life equivalent (LOLE). LOLE would address some of the limitations of current methods, including facilitating capture of the impact of disease beyond health-related quality of life, and being more sensitive to the impact of a disease on patients. However, the acceptability of LOLE raises questions for decision-makers, including: Is length of life equivalence the best common metric in which to express unmet need? Is it appropriate to rate a disease as having no unmet need if patients are unwilling to trade off life expectancy for improvements in their quality of life? Can LOLE be estimated for more complex disease profiles? Is thresholding the appropriate method to use to estimate LOLE? How should LOLE be integrated into decision-making, including the level of LOLE that defines different levels of unmet need? Further work could usefully address these questions with decision-makers.

Health State Utility Values: The Implications of Patient versus Community Ratings in Assessing the Value of Care

BackgroundHealth-state utility values (HSUVs) are key inputs into cost-utility analyses. There is debate over whether they are best derived from the community or patients, with concerns raised that community-derived preferences may devalue benefits to ill, elderly, or disabled individuals. This tutorial compares the effects of using patient-derived HSUVs versus community-derived HSUVs on incremental cost-effectiveness ratios (ICERs) and shows their implications for policy.DesignWe review published studies that compared HSUVs derived from patients and the community. We then present equations for the gains in quality-adjusted life-years (QALYs) that would be estimated for an intervention using patient versus community HSUVs and discuss the implications of those QALY gains. We present a numerical example as another way of showing how ICERs change when using patient versus community HSUVs.ResultsPatient HSUVs are generally higher than community HSUVs for severe health states. When an intervention reduces mortality, patient ratings yield more favorable ICERs than do community ratings. However, when the intervention reduces morbidity, patient ratings yield less favorable ICERs. For interventions that reduce both morbidity and mortality, the effect on ICERs of patient versus community HSUVs depends on the relative contribution of each to the resulting QALYs.ConclusionsThe use of patient HSUVs does not consistently favor treatments directed at those patients. Rather, the effect depends on whether the intervention reduces mortality, morbidity, or both. Since most interventions do both, using patient HSUVs has mixed implications for promoting investments for people with illness and disabilities. A nuanced discussion of these issues is necessary to ensure that policy matches the intent of the decision makers.HighlightsThe debate about whether health state utility values (HSUVs) are best derived from patients or the community rests in part on the presumption that using community values devalues interventions for disabled persons or those with chronic diseases.However, we show why the effect of using patient HSUVs depends on whether the intervention in question primarily reduces mortality or morbidity or has substantial effects on both.If the intervention reduces mortality, using patient HSUVs will make the intervention appear more cost-effective than using community HSUVs, but if it reduces morbidity, using patient HSUVs will make the intervention appear less cost-effective.If the intervention reduces both morbidity and mortality, a common situation, the effect of patient versus community HSUVs depends on the relative magnitudes of the gains in quality and length of life.

Does timing matter? The role of health information shocks in measuring willingness to pay

OBJECTIVES

The optimal point in time to measure willingness-to-pay (WTP) remains unclear. We investigated the role of health information shocks (HIS) in individuals' WTP, analyzing the extent to which news of SARS-CoV-2 infections among people they know/themselves altered WTP for booster vaccinations.

METHODS

We elicited WTP in eight European countries using the European Covid Survey. First, we presented participants with a hypothetical setting recommending a booster vaccination that had to be paid out-of-pocket. To measure WTP, we elicited a lower and upper WTP limit, and a WTP value contingent on both of these. To measure HIS, we asked about the duration since participants received news of COVID-19 cases among people they know (including themselves), as well as the degree of personal connection to these cases and their severity. We used a two-part model to estimate the association between HIS and individuals' WTP.

RESULTS

Among the 5809 observations, 76.8% stated a WTP for a booster vaccination greater than €0. At least one HIS was reported by 61.9% of participants. The occurrence of a HIS was associated with an increase in WTP of €14.54 (logistic: P <.0001, gamma: P =.1493) compared to no HIS. The WTP was higher when the HIS occurred in the four weeks before the survey. Controlling for socio-demographic and COVID-19 covariates decreased significance and effect sizes.

CONCLUSION

Our findings suggest that a recent HIS is associated with a higher probability of having a positive WTP. Timing, in relation to some relevant event, therefore may matter when measuring WTP for health interventions. If so, finding the optimal point in time to measure WTP is difficult and may depend on the policy question under consideration.

Trial-based economic evaluation of the BrainACT study: acceptance and commitment therapy for anxiety and/or depressive symptoms after acquired brain injury

INTRODUCTION

Following acquired brain injury (ABI), individuals often experience anxiety and/or depressive symptoms. BrainACT is an adapted form of Acceptance and Commitment Therapy (ACT) tailored to this target group. The current study is a trial-based health-economic evaluation comparing BrainACT to a psychoeducation and relaxation control treatment.

METHODS

An economic evaluation from a societal perspective was conducted in the Netherlands alongside a multicenter randomized controlled two-armed parallel trial including 72 participants. A cost-utility and cost-effectiveness analysis was conducted where incremental costs, quality-adjusted life-years (QALYs), and anxiety/depression (Hospital Anxiety and Depression Scale (HADS) score) were collected and presented over a 1-year follow-up period. Bootstrapping, scenario, and subgroup analyses were performed to test the robustness of the results.

RESULTS

The BrainACT arm reported non-significant lower total costs (incremental difference of €-4,881; bootstrap interval €-12,139 to €2,330) combined with significantly decreased anxiety/depression (HADS) (3.2; bootstrap intervals 0.7-5.7). However, the total QALYs were non-significantly lower (-0.008; bootstrap interval -0.060 to 0.042) for BrainACT. The probability of the intervention being cost-effective was 86 percent at a willingness-to-accept threshold of €50,000/QALY. The scenario and subgroup analyses confirmed the robustness of the results.

CONCLUSION

BrainACT may be a more cost-effective alternative to a psychoeducation and relaxation intervention for anxiety and/or depressive symptoms following ABI. Despite limitations, BrainACT appears to be a promising addition to treatment options in the Netherlands. Further research is needed to validate these findings, and consideration should be given to implementing BrainACT in Dutch clinical settings with ongoing monitoring.

Comparison of Caregiver and General Population Preferences for Dependency-Related Health States

OBJECTIVE

We assess whether the preferences regarding dependency-related health states as stated by informal caregivers are aligned with those expressed by the general population.

METHODS

The preferences of a sample of 139 Spanish informal caregivers of dependent patients are compared with those obtained via a sample of 312 persons, also from the Spanish general population. We assess 24 dependency states extracted from the DEP-6D using the time trade-off method. Descriptive statistics and regression methods are used to explore differences between the two samples.

RESULTS

Mean difference tests establish that, for all but one of the 24 states, there are no significant differences between the samples. The estimated mean values ranged from - 0.64 to 0.60 for the caregiver sample and from - 0.60 to 0.65 for the general population sample, with a correlation of 0.96. On average, the classification of states as better or worse than dead matched in both samples (except for one state). Regression models also show that sample type does not have a significant average impact. After we introduce interaction effects, only the most severe level of two dimensions, cognitive problems and housework, result in significant differences-with the caregiver sample reporting higher values for the former, and lower values for the latter.

CONCLUSION

Caregivers and the general population exhibit quite similar preferences concerning dependency-related health states. This suggests that the results of cost-utility analyses, and the resource allocation decisions based on them, would likewise not be significantly affected by the preferences used to generate the weighting algorithm.

Valuing quality of life for economic evaluations in cancer: navigating multiple methods

INTRODUCTION

Utility values offer a quantitative means to evaluate the impact of novel cancer treatments on patients' quality of life (QoL). However, the multiple methods available for valuing QoL present challenges in selecting the most appropriate method across different contexts.

AREAS COVERED

This review provides cancer clinicians and researchers with an overview of methods to value QoL for economic evaluations, including standalone and derived preference-based measures (PBMs) and direct preference elicitation methods. Recent developments are described, including the comparative performance of cancer-specific PBMs versus generic PBMs, measurement of outcomes beyond health-related QoL, and increased use of discrete choice experiments to elicit preferences. Recommendations and considerations are provided to guide the choice of method for cancer research.

EXPERT OPINION

We foresee continued adoption of the QLU-C10D and FACT-8D in cancer clinical trials given the extensive use of the EORTC QLQ-C30 and FACT-G in cancer research. While these cancer-specific PBMs offer the convenience of eliciting utility values without needing a standalone PBM, researchers should consider potential limitations if they intend to substitute them for generic PBMs. As the field advances, there is a greater need for consensus on the approach to selection and integration of various methods in cancer clinical trials.

Stakeholder-informed positivity thresholds for disease markers and risk scores: a methodological framework and an application in obstructive lung disease

OBJECTIVES

A positivity threshold is often applied to markers or predicted risks to guide disease management. These thresholds are often decided exclusively by clinical experts despite being sensitive to the preferences of patients and general public as ultimate stakeholders.

STUDY DESIGN AND SETTING

We propose an analytical framework for quantifying the net benefit (NB) of an evidence-based positivity threshold based on combining preference-sensitive (eg, how individuals weight benefits and harms of treatment) and preference-agnostic (eg, the magnitude of benefit and the risk of harm) parameters. We propose parsimonious choice experiments to elicit preference-sensitive parameters from stakeholders, and targeted evidence synthesis to quantify the value of preference-agnostic parameters. We apply this framework to maintenance of azithromycin therapy for chronic obstructive pulmonary disease using a discrete choice experiment to estimate preference weights for attribute level associated with treatment. We identify the positivity threshold on 12-month moderate or severe exacerbation risk that would maximize the NB of treatment in terms of severe exacerbations avoided.

RESULTS

In the case study, the prevention of moderate and severe exacerbations (benefits) and the risk of hearing loss and gastrointestinal symptoms (harms) emerged as important attributes. Four hundred seventy seven respondents completed the discrete choice experiment survey. Relative to each percent risk of severe exacerbation, preference weights for each percent risk of moderate exacerbation, hearing loss, and gastrointestinal symptoms were 0.395 (95% confidence interval [CI] 0.338-0.456), 1.180 (95% CI 1.071-1.201), and 0.253 (95% CI 0.207-0.299), respectively. The optimal threshold that maximized NB was to treat patients with a 12-month risk of moderate or severe exacerbations ≥12%.

CONCLUSION

The proposed methodology can be applied to many contexts where the objective is to devise positivity thresholds that need to incorporate stakeholder preferences. Applying this framework to chronic obstructive pulmonary disease pharmacotherapy resulted in a stakeholder-informed treatment threshold that was substantially lower than the implicit thresholds in contemporary guidelines.

Health-related quality of life assessment in health economic analyses involving type 2 diabetes

AIM

Incorporating health-related quality of life (HRQoL) measures into health economic analyses can help to provide evidence to inform decisions about how to improve patient outcomes in the most cost-effective manner. The aim of this narrative review was to assess which HRQoL instruments have been used in economic evaluations of type 2 diabetes management including in Indigenous communities.

METHOD

MEDLINE (Ovid), Embase (Ovid) and Cochrane were searched from inception to June 2022. Studies included patients with type 2 diabetes; economic evaluations, derived scores from direct questioning of individuals; and were in English. Records were assessed for bias using the JBI critical appraisal tools.

RESULTS

A total of 3737 records were identified, with 22 publications meeting the criteria for inclusion. Across those 22 articles, nine HRQoL instruments had been utilised. Generic tools were most frequently used to measure HRQoL, including EQ-5D (-3 L and -5 L) (n = 10, 38%); SF-12 (n = 5, 19%); and SF-36 (n = 4, 15%). Two tools addressing the specific stressors faced by people with type 2 diabetes were utilised: Problem Areas In Diabetes tool (n = 1, 4%) and Diabetes Distress Scale (n = 1, 4%). Two publications reported whether the study population included Indigenous peoples.

CONCLUSION

A wide range of HRQoL instruments are used in economic evaluations of type 2 diabetes management, with the most frequent being varying forms of the EQ-5D. Few economic evaluations noted whether Indigenous peoples were featured in the study population. More research into HRQoL in people living with type 2 diabetes is urgently needed to improve evidence on effectiveness and cost-effectiveness of interventions.

Generating Utilities for the Château-Santé Base: A Novel, Generic, and Patient-Centered Health-Outcome Measure

OBJECTIVES

We have developed a new patient-centered, preference-based generic health-outcome measure, Château-Santé Base (CS-Base), which is based on a novel multiattribute preference response (MAPR) measurement framework. This study aimed to generate a first utility set for the CS-Base, making it suitable for use in health-economic evaluations.

METHODS

CS-Base comprises 12 health attributes: mobility, vision, hearing, cognition, mood, anxiety, pain, fatigue, social functioning, daily activities, self-esteem, and independence, each with 4 levels. Our methodology to generate utilities for the CS-Base was 2-fold. First, we derived coefficients from patient MAPR data to calculate CS-Base values. Subsequently, these were normalized to a 0.0 to 1.0 utility scale, in which 0.0 signifies dead. The dead position was estimated using general population data from a discrete choice experiment (discrete choice experiment + dead), using a division-value strategy, which localize the position of states better or worse than dead.

RESULTS

We analyzed MAPR data from 3222 patients and discrete choice experiment + dead data from 1995 respondents. All MAPR coefficients were negative, logically ordered, and significantly different from the reference level. The dead position was denoted by a division value of -148.385. Utility values spanned from -0.071 to 1.0, and only 53 of 16 777 216 states were deemed worse than dead.

CONCLUSIONS

This study introduced the first CS-Base utility set, underlining a 2-step utility derivation method. This method, blending societal and patient views, surpasses traditional preference-based approaches, yielding firmer results. However, improvement of the normalization procedure is expected. Estimating CS-Base utilities is an ongoing process that gains precision over time.

On the ability of the SF-6D to capture the consequences of chronic illnesses on subjective well-being: Evidence from France

Using cross-sectional data from a representative sample of the French population (the 2008 Disability Health survey), this paper examines whether the SF-6D, a widely used preference-based measure of health-related quality of life in economic evaluations, fully captures the variation in subjective well-being (SWB) due to chronic illnesses. We conduct a mediation analysis to disentangle the direct and indirect, through the SF-6D, effects of various chronic conditions on SWB (happiness). Our results show that the SF-6D reflects changes in happiness due to most illnesses except mental illness. Changes in SWB mediated by the SF-6D account for 74% of the total effect. The variation unexplained by the SF-6D is significant and increases substantially in the presence of multimorbidity when a chronic illness is combined with anxiety or depression. Overall, our results suggest that the SF-6D incompletely captures the subjective experience of chronically ill patients, especially those with comorbid conditions.

Valuation of EQ-5D-5L health states from cancer patients' perspective: a feasibility study

OBJECTIVES

To assess the feasibility of estimating an EQ-5D-5L value set using a small study design in cancer patients and to compare the EQ-5D-5L values based on the preferences of cancer patients with those of the general public.

METHODS

Patients with clinically diagnosed cancers were recruited from two hospitals in Shanghai, China. In face-to-face interviews using the EQ-PVT survey, health states were valued by cancer patients using both cTTO and DCE methods. cTTO data was modelled alone or jointly with DCE data. Forty-eight models using different model specifications (cross-attribute level effect [CALE] and additive models), random/fixed effects model assumptions, data heteroscedasticity and censoring were estimated. The best performed model was identified in terms of monotonicity of estimated model coefficients and out-of-sample prediction accuracy.

RESULTS

Data collected from 221 cancer patients who participated in the study were included. The hybrid CALE model using both TTO and DCE data performed best in terms of prediction accuracy (Lin's concordance coefficient = 0.989; root mean squared error = 0.058) and suggested that pain/discomfort and anxiety/depression were the most undesirable health problems. Compared to values based on general Chinese public's health preferences, the values based on cancer patients' preferences were much higher and lower for health states characterized by extreme mobility problems and severe/extreme pain or discomfort, respectively.

CONCLUSION

This study demonstrated the feasibility of using a small design to develop EQ-5D-5L value sets based on cancer patients' health preferences. Since there were signs of differences between preferences of patients and general population, it may be valuable to develop patient-specific value sets and use them in clinical decision making and economic evaluations.

One and the same or different? An empirical comparison of aged care recipient and non-aged care recipient preferences for quality of aged care amongst older Australians

The Quality of Care Experience Aged Care Consumers (QCE-ACC) is a new preference-based instrument recently adopted by the Australian government nationally as a new quality indicator for aged care. This study employed a discrete choice experiment (DCE) approach to develop an aged care user-specific value set for the QCE-ACC instrument. This is crucial for establishing the relative importance of key QCE-ACC dimensions for informing quality assessment and economic evaluation in aged care. We further empirically compared the preferences of aged care recipients and non-aged care recipients amongst the older Australian population (65 years and above) for quality of care experience using the QCE-ACC. A total of 201 older people (age 74.2 ± 6.2; 59.7% female) receiving aged care services completed the DCE survey between August and September 2022. The comparison of relative importance indicated some divergence in the preferences between the aged care recipients and non-aged care recipients. Amongst aged care recipients, being treated with "Respect & Dignity" was the most important quality of care experience defining dimension, with "Health & Wellbeing" ranked second and "Skills & Training" (of staff) ranked third. However, within non-aged care recipients, "Skills Training" (of staff) was considered the most important quality of care dimension. Distinction in the QCE-ACC utility weights distributions and mean values were also observed, suggesting that aged care recipients may have different opinions about the quality of aged care compared to those who have not accessed aged care services. The findings shed light on the unique preferences of aged care recipients, indicating that aged care recipients and non-aged care recipients' preferences for quality of aged care are not interchangeable. The value set developed in this study is specifically tailored for assessing the quality of aged care using the QCE-ACC instrument from the perspective of aged care users in Australia.

Obtaining preference scores for an abbreviated self-completion version of the Teen-Addiction Severity Index (ASC T-ASI) to value therapy outcomes of systemic family interventions: a discrete choice experiment

BACKGROUND

Systemic family interventions for adolescents with problems of substance use and/or delinquency are increasingly focused subject of economic evaluations. Treatment effects go beyond improvements in commonly measured health-related quality of life (HRQOL). The Teen-Addiction Severity Index (T-ASI) was identified as capable of capturing these broad outcomes. However, it lacks preference-based scores. An abbreviated self-completion version (ASC T-ASI) was created and validated, covering the T-ASI domains substance use, school, work, family, social relationships, justice, and mental health. This study aimed to obtain societal preference scores for the ASC T-ASI.

METHODS

Preferences were elicited in a sample of the Dutch general adult population (n = 1500), using a web-based Discrete Choice Experiment. Choice tasks included two unlabeled alternatives with attributes and levels corresponding to the domains and levels of the ASC T-ASI. A pilot study (n = 106) informed priors, optimal presentation, and number of choice tasks applied in the main study. Data were analyzed using a mixed multinomial logit model.

RESULTS

Preference scores were logically ordered, with lower scores for worse ASC T-ASI states. Scores were most influenced by reductions in problems concerning the domains substance use, mental health, justice, and family. Tariffs were calculated for each ASC T-ASI state, ranging from 0 (worst situation) to 1 (best situation).

CONCLUSIONS

The tariffs enable preference-based assessments of the broad effects of systemic family interventions for adolescents with problems of substance use and/or delinquency. The outcome reflects addiction-related rather than health-related utility and can be used next to generic HRQOL instruments in relevant economic evaluations. Given the source used for the preferences, interpretations and valuation of scores require attention.

Cancer population norms using a new value set for the SF-6Dv2 based on the preferences of patients with breast or colorectal cancer in Quebec

BACKGROUND

Because health resources are limited, health programs should be compared to allow the most efficient ones to emerge. To that aim, health utility instruments have been developed to allow the calculation of quality-adjusted life-year (QALY). However, generic instruments, which can be used by any individual regardless of their health profile, typically consider the preferences of the general population when developing their value set. Consequently, they are often criticized for lacking sensitivity in certain domains, such as cancer. In response, the latest version of the Short Form 6-Dimension (SF-6Dv2) has been adapted to suit the preferences of patients with breast or colorectal cancer in the Canadian province of Quebec. By extension, our study's aim was to determine cancer population norms of utility among patients with breast or colorectal cancer in Quebec using the SF-6Dv2.

METHOD

To determine the cancer population norms, we exploited the data that were used in the development of a new value set for the SF-6Dv2. This value set was developed considering the preferences of patients with breast or colorectal cancer. Stratification by time of data collection (i.e., T1 and T2), sociodemographic variables (i.e., age, sex, body mass index, and self-reported health problems affecting quality of life), and clinical aspects (i.e., cancer site, histopathological classification, cancer stage at diagnosis, modality, and treatment characteristics) was performed.

RESULTS

In 353 observations, patients were more likely to have negative utility scores at T1 than at T2. Males had higher mean utility scores than females considering type of cancer and comorbidities. Considering the SF-6Dv2's dimensions, more females than males reported having health issues, most which concerned physical functioning. Significant differences by sex surfaced for all dimensions except "Role Limitation" and "Mental health." Patients with multifocal cancer had the highest mean and median utility values in all cancer sites considered.

CONCLUSION

Cancer population norms can serve as a baseline for interpreting the scores obtained by a given population in comparison to the situation of another group. In this way, our results can assist in comparing utility scores among cancer patients with different sociodemographic groups to other patients/populations groups. To our knowledge, our identified utility norms are the first for patients with breast or colorectal cancer from Quebec.

Differences in health utilities between cancer patients and the general population: The case of Quebec using the SF-6Dv2

A considerable debate persists in the literature about whose preferences should be considered in the calculation of quality-adjusted life-years. Some suggest considering only the preferences of the general population, while others advocate for the consideration of those of patients or a combination of both. This study aims to inform and measure the differences in health preferences between cancer patients and the general population in Quebec. A total of 60,976 observations representing the preferences of the general population for various health states were collected and used to develop a new value set using the SF-6Dv2. This value set was generated by combining 34,299 observations with time trade-off (TTO) and 26,677 observations with discrete choice experiment (DCE). Utility scores derived from this value set were compared to those of patients' preferences from a new value set in breast and colorectal patients for the SF-6Dv2. For both patients and the general population, the 'Pain' dimension was the highest contributor to the utility score. However, noticeable differences were observed in the estimates. Estimates of levels 2 and 3 were generally lower for cancer patients, while they were more likely to have greater estimates in severe levels. Significant differences in utility scores were also noticed with the general population showing higher mean utility scores for the same health states. These differences increased as the health states worsened. This study sheds light on the existing differences in preferences between cancer patients and the general population of Quebec for a better consideration in healthcare decision-making.

Using Patient Preferences in Health Technology Assessment: Evaluating Quality-Adjusted Survival Equivalents (QASE) for the Quantification of Non-health Benefits

Interest in using patient preference (PP) data alongside traditional economic models in health technology assessment (HTA) is growing, including using PP data to quantify non-health benefits. However, this is limited by a lack of standardised methods. In this article, we describe a method for using discrete choice experiment (DCE) data to estimate the value of non-health benefits in terms of quality-adjusted survival equivalence (QASE), which is consistent with the concept of value prevalent among HTA agencies. We describe how PP data can be used to estimate QASE, assess the ability to test the face-validity of QASE estimates of changes in mode of administration calculated from five published DCE oncology studies and review the methodological and normative considerations associated with using QASE to support HTA. We conclude that QASE may have some methodological advantages over alternative methods, but this requires DCEs to estimate second-order effects between length and quality of life. In addition, empirical work has yet to be undertaken to substantiate this advantage and demonstrate the validity of QASE. Further work is also required to align QASE with normative objectives of HTA agencies. Estimating QASE would also have implications for the conduct of DCEs, including standardising and defining more clear attribute definitions.

A happiness approach to valuing health states for children

Preference weights are widely used to score generic health states into utility indexes for estimation of quality adjusted life years (QALYs) and to aid health care funding decisions. To date, health state utilities are predominantly derived using stated preference methods based on decision utility. This paper tests an alternative and generates preference weights using experienced utility for children based on the Child Health Utility 9D (CHU9D) descriptive system. We estimate the relative values of the CHU9D health states with regard to experienced utility, where experienced utility is approximated by self-reported happiness. A nationally-representative longitudinal survey was used including 6090 Australian children aged 12-17 years surveyed over 2014-2018. The derived weights were then applied to calculate the utility decrements for a few common child health conditions. We found that the estimated utility decrements are largely similar to those estimated using the published CHU9D Australian adolescent weights based on decision utility, except for pain and depression. A smaller utility decrement for pain and a larger utility decrement for depression were indicated by experienced utility. We contribute to the literature by showing that using experienced utility methods to generate preference weights for health states is possible, and we discuss some important methodological challenges for future studies such as the impracticability of anchoring to 'dead' when utilizing experienced utility.

Using the Online Elicitation of Personal Utility Functions Approach to Derive a Patient-Based 5-Level Version of EQ-5D Value Set: A Study in 122 Patients With Rheumatic Diseases From Germany

OBJECTIVES

Traditional preference elicitation methods, such as discrete choice experiments or time trade-off, usually require large sample sizes. This can limit their applicability in patient populations, where recruiting enough participants can be challenging. The objective of this study was to test a new method, called the Online elicitation of Personal Utility Functions (OPUF) approach, to derive an EQ-5D-5L value set from a relatively small sample of patients with rheumatic diseases.

METHODS

OPUF is a new type of online survey that implements compositional preference elicitation techniques. Central to the method are 3 valuation steps: (1) dimension weighting, (2) level rating, and (3) anchoring. An English demo version of the OPUF survey can be accessed at https://valorem.health/eq5d5l. From the responses, a personal EQ-5D-5L utility function can be constructed for each participant, and a group-level value set can be derived by aggregating model coefficients across participants.

RESULTS

A total of 122 patients with rheumatic disease from Germany completed the OPUF survey. The survey was generally well received; most participants completed the survey in less than 20 minutes and were able to derive a full EQ-5D-5L value set. The precision of mean coefficients was high, despite the small sample size.

CONCLUSIONS

Our findings demonstrate that OPUF can be used to derive an EQ-5D-5L value set from a relatively small sample of patients. Although the method is still under development, we think that it has the potential to be a valuable preference elicitation tool and to complement traditional methods in several areas.

Understanding UK public views on normative decisions made to value health-related quality of life in children: A qualitative study

Developing methodology for measuring and valuing child health-related quality of life (HRQoL) is a priority for health technology agencies. One aspect of this is normative decisions that are made in child HRQoL valuation. This qualitative study aimed to better understand adult public opinion on the normative questions of whose preferences to elicit (adults, children, or both) and from which perspective (who should be imagined living in impaired health), when valuing child HRQoL. Opinions of the adult UK public (N = 32) were solicited using online semi-structured focus groups, featuring a breadth of age, sex, ethnicities, and responsibility for children under 18 years. Participants were provided with bespoke informational material on health state valuation and were probed for their views. Arguments for and against different positions were discussed. Data was analysed using framework analysis. Participants demonstrated near-to-universal agreement that children should be involved in valuation in some form, yet this should differ depending on age or maturity. There was strong support for approaches combining involvement from children and adults (e.g., their parents), especially for younger children. There was little intuitive support for the 'taxpayer argument' for asking taxpaying adults. In the context of greater involvement of children in valuation, most participants supported using an 'own' perspective. Most participants thought that valuation study participants should know the exercise is about valuing child health states for ethical reasons. Informed views from the UK public on who should be asked and with what perspective when valuing child HRQoL appear to differ from normative positions previously advocated by some health economists, such as prioritising the preferences of taxpaying adults. In contrast, the results suggest including adults and children in valuation, with the proviso that the children are of an appropriate age and level of maturity, and that an own perspective is used wherever possible.

Stakeholders' preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments

This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.

Modelling Spillover Effects on Informal Carers: The Carer QALY Trap

The provision of informal (unpaid) care can impose significant 'spillover effects' on carers, and accounting for these effects is consistent with the efficiency and equity objectives of health technology assessment (HTA). Inclusion of these effects in health economic models, particularly carer health-related quality of life (QOL), can have a substantial impact on net quality-adjusted life year (QALY) gains and the relative cost effectiveness of new technologies. Typically, consideration of spillover effects improves the value of a technology, but in some circumstances, consideration of spillover effects can lead to situations whereby life-extending treatments for patients may be considered cost ineffective due to their impact on carer QOL. In this piece we revisit the classic 'QALY trap' and introduce an analogous 'carer QALY trap' which may have practical implications for economic evaluations where the inclusion of carer QOL reduces incremental QALY gains. Such results may align with a strict QALY-maximisation rule, however we consider the extent to which this principle may be at odds with the preferences of carers themselves (and possibly society more broadly), potentially leading decision makers into the carer QALY trap as a result. We subsequently reflect on potential solutions, highlighting the important (albeit limited) role that deliberation has to play in HTA.

Adaptation and illness severity: the significance of suffering

Adaptation to illness, and its relevance for distribution in health care, has been the subject of vigorous debate. In this paper I examine an aspect of this discussion that seems so far to have been overlooked: that some illnesses are difficult, or even impossible, to adapt to. This matters because adaptation reduces suffering. Illness severity is a priority setting criterion in several countries. When considering severity, we are interested in the extent to which an illness makes a person worse-off. I argue that no plausible theory of well-being can disregard suffering when determining to what extent someone is worse-off in terms of health. We should accept, all else equal, that adapting to an illness makes the illness less severe by reducing suffering. Accepting a pluralist theory of well-being allows us to accept my argument, while still making room for the possibility that adaptation is sometimes, all things considered, bad. Finally, I argue that we should conceptualize adaptability as a feature of illness, and thereby account for adaptation on a group level for the purposes of priority setting.

Health utilities and willingness to pay in adult patients with coeliac disease in Hungary

BACKGROUND

Coeliac disease (CD) is a life-long food-related disorder with a global prevalence of approximately 1%. Patients with CD often experience reduced health-related quality of life that could improve with a strict adherence to a gluten-free diet (GFD).

OBJECTIVES

To obtain visual analogue scale (VAS), time trade-off (TTO) and willingness-to-pay (WTP) values amongst patients with CD.

METHODS

In 2020-2021, a cross-sectional online survey was conducted amongst 312 adult CD patients in Hungary. Patients completed the Gastrointestinal Symptom Rating Scale (GSRS) and evaluated their current health and three hypothetical health state vignettes defined based on dietary adherence using VAS, conventional 10-year TTO and WTP. Multivariate regressions were used to explore the effect of patients' demographic and clinical characteristics on utility and WTP values.

RESULTS

Mean VAS values for current health and 'CD with strict adherence to GFD', 'CD with loose adherence to GFD' and 'CD without GFD' hypothetical health states were 79.69 ± 18.52, 85.36 ± 16.18, 62.44 ± 19.91 and 36.69 ± 25.83, respectively. Corresponding mean TTO utilities were: 0.90 ± 0.19, 0.91 ± 0.20, 0.87 ± 0.23 and 0.76 ± 0.29. Mean annual WTP values for returning to full health were: €845 ± 1077, €648 ± 1002, €862 ± 1135 and €1251 ± 1496. Older age at diagnosis, male sex, more severe gastrointestinal symptoms (GSRS) and having comorbidities were associated with lower VAS and TTO or higher WTP values for current own health (p < 0.05).

CONCLUSION

This is the first study to report TTO utilities for CD health states. Strict adherence to the GFD may result in substantial health gains in symptomatic patients. Utilities and WTP results can be used to estimate benefits of GFD in cost-utility and cost-benefit analyses.

Second Version of the Short Form 6-Dimension Value Set Elicited From Patients With Breast and Colorectal Cancer: A Hybrid Approach

BACKGROUND

Quality-adjusted life-year instruments help comparison among programs by capturing their effects in terms of utility. Generic instruments are applicable to everyone, and for this reason, they are known to lack sensitivity when measuring gains in some domains. Specific instruments tend to fill this gap but, in domains like cancer, existing instruments are either nonpreferences-based or based on the general population's preferences.

PATIENTS AND METHODS

This study describes the development of a new value set for a well-known and highly used generic instrument, the Second Version of the Short Form 6-Dimension, to better consider the preferences of patients with cancer. In this aim, a hybrid approach combining the time trade-off and the discrete choice experiment was used. The population of interest was the Quebec population, Canada, with breast or colorectal cancer. Their preferences were elicited in 2 periods: before (T1) and 8 days after the beginning of a chemotherapy procedure (T2).

RESULTS

A total of 2808 observations for the time trade-off and 2520 observations for the discrete choice experiment were used. The parsimonious model encompassing the 2 periods was the preferred model. The new value set allows a greater utility range than the EQ-5D-5L and the Second Version of the Short Form 6-Dimension reference value sets and helps in better considering patients experiencing severe health situations. A good correlation between these 2 instruments and other specific cancer instruments (ie, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, QLU-C10D, and Functional Assessment of Cancer Therapy-General) was observed. Significative differences in utility values were also noted within periods and types of cancer.

The effectiveness and health-economic evaluation of "Partner in Balance," a blended self-management program for early-stage dementia caregivers: study protocol for a cluster-randomized controlled trial

BACKGROUND

Informal caregivers of people with dementia are crucial in dementia care. However, they are insufficiently supported and report caregiver burdens, which urges the need for cost-effective interventions aimed at supporting caregivers. This paper presents the design of a study evaluating the effectiveness, cost-effectiveness, and cost-utility of a blended self-management program for early-stage dementia caregivers.

METHODS/DESIGN

A pragmatic, cluster randomized controlled trial with a shared control group will be conducted. Participants will be informal caregivers of people with early-stage dementia and will be recruited by local care professionals. Randomization will be carried out at the level of the care professional level in a ratio of 35% to 65% (control arm vs. intervention arm). Participants in the control arm will receive care as usual and the intervention arm will receive the blended care self-management program "Partner in Balance" within a usual care setting in the Netherlands. Data will be collected at baseline and at 3-, 6-, 12-, and 24-month follow-ups. The primary outcome for effectiveness (part 1) is care management self-efficacy. For the health-economic evaluation (part 2) total care costs and the quality of life for individuals with dementia (cost-effectiveness) and quality-adjusted life years (cost-utility) will be the base case analysis. Secondary outcomes (parts 1 and 2) will include depression, anxiety, perceived informal caregiving stress, service-use self-efficacy, quality of life, caregivers' gain, and perseverance time. A process evaluation (part 3) will investigate the internal and external validity of the intervention.

DISCUSSION

In this trial, we plan to evaluate the effectiveness, cost-effectiveness, and cost-utility of "Partner in Balance" among informal caregivers of people with dementia. We expect to find a significant increase in care management self-efficacy, and the program to be cost-effective, and provide valuable insights to stakeholders of "Partner in Balance."

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05450146. Registered on 4 November 2022.

Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK

Experiencing deteriorating health has implications for your quality of life. The theory of adaptation suggests that with time spend living in a health state individuals can adapt, resulting in observed quality of life levels to revert or stagnate despite persistently decreased health. Adaptation has implications for the use of subjective quality of life indicators when quantifying the impact of health changes or the benefits from new medical technologies. As both the impact from ill health and the benefit from new interventions might be disease- or subgroup-specific adaptation further raises ethical concerns but empirical evidence on its existence, magnitude, and heterogeneity remains inconclusive. This paper uses a general population sample of 9,543 individuals that participate in the UK Understanding Society survey and experience the onset of a long-standing illness or disability to provide evidence on these questions. Using ordered-response fixed effects models we explore longitudinal changes in self-assessed health and life satisfaction around the onset of disability. Our results indicate that disability onset is associated with large decreases in subjective health and well-being. Over time this initial decrease in subjective quality of life indicators attenuates, especially in life satisfaction and to a lesser extent for self-assessed health. While the relative difference in adaptation across these two measures remains persistent, we find that across demographic and severity groups the initial impact of disability onset and adaptation differs considerably in its magnitude. These results have important implications for studies aiming to quantify the impact of health conditions on quality of life outcomes, especially when using observational datasets.

Do Misconceptions About Health-Related Quality of Life Affect General Population Valuations of Health States?

OBJECTIVES

Healthcare resource allocation decisions are often informed by the expected gains in patients' quality-adjusted life-years. Misconceptions about ill-health's consequences for quality of life (QOL) may however affect evaluations of health states by the general population and hence affect resource allocation decisions informed by quality-adjusted life-years. We examine whether people selectively misestimate the QOL consequences of moderate anxiety or depression compared with other dimensions of health, and we test whether informing people of actual changes in QOL associated with health states changes appraisals of their relative undesirability.

METHODS

UK general population participants (N = 1259; in 2017) expressed preferences over moderate problems: anxiety or depression, self-care, and pain or discomfort. A randomized control trial design was used whereby a control group was given a functional description of each health state, and 2 intervention groups were additionally given information on the actual differences in either life satisfaction (LS) or day affect (DA) associated with experiencing each health state.

RESULTS

The LS (DA) group reported a higher preference for avoiding living with moderate anxiety or depression, being 13.4% (13.9%) more likely to choose it as most undesirable.

CONCLUSION

Informing people of the change in LS or DA associated with health states before they appraise them is a feasible way to obtain informed preferences.

Multiple sclerosis health-related quality of life utility values from the UK MS register

Background

New interventions for multiple sclerosis (MS) commonly require a demonstration of cost-effectiveness using health-related quality of life (HRQoL) utility values. The EQ-5D is the utility measure approved for use in the UK NHS funding decision-making. There are also MS-specific utility measures - e.g., MS Impact Scale Eight Dimensions (MSIS-8D) and MSIS-8D-Patient (MSIS-8D-P).

Objectives

Provide EQ-5D, MSIS-8D and MSIS-8D-P utility values from a large UK MS cohort and investigate their association with demographic/clinical characteristics.

Methods

UK MS Register data from 14,385 respondents (2011 to 2019) were analysed descriptively and using multivariable linear regression, with self-report Expanded Disability Status Scale (EDSS) scores.

Results

The EQ-5D and MSIS-8D were both sensitive to differences in demographic/clinical characteristics. An inconsistency found in previous studies whereby mean EQ-5D values were higher for an EDSS score of 4 rather than 3 was not observed. Similar utility values were observed between MS types at each EDSS score. Regression showed EDSS score and age were associated with utility values from all three measures.

Conclusions

This study provides generic and MS-specific utility values for a large UK MS sample, with the potential for use in cost-effectiveness analyses of treatments for MS.

Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention

OBJECTIVES

Preference information is increasingly being elicited to support decision-making. Although discrete choice experiments (DCEs) are commonly used, little is known about how respondents' relative experience of a health issue, and its treatment, might impact the results of preference studies. The aim of this study was to explore how preferences differ between groups of individuals with varying levels of experience of a health issue and its treatment, using a weight loss maintenance (WLM) programme as a case study.

METHODS

An online DCE survey was provided to four groups, each differing in their level of experience with weight loss and WLM programmes. One group was recruited from a randomised controlled trial of a WLM programme (ISRCTN14657176) and the other three from an online panel. Choice data were analysed using mixed logit models. Relative attribute importance scores and willingness-to-pay (WTP) estimates were estimated to enable comparisons between groups.

RESULTS

Preferences differed between the groups across different attributes. The largest differences related to the outcome (weight re-gain) and cost attributes, resulting in WTP estimates that were statistically significantly different. The most experienced group was willing to pay £0.35 (95% CI: £0.28, £0.42) to avoid a percentage point increase in weight re-gain, compared with £0.12 (95% CI: £0.08, £0.16) for the least experienced group.

CONCLUSION

This study provides evidence in a public health setting to suggest that preferences differ based on respondent experience of the health issue and its treatment. Health preference researchers should therefore carefully consider the appropriate composition of their study samples.

Hypothetical versus experienced health state valuation: a qualitative study of adult general public views and preferences

OBJECTIVES

Responses from hypothetical and experienced valuation tasks of health-related quality of life differ, yet there is limited understanding of why these differences exist, what members of the public think about them, and acceptable resolutions. This study explores public understanding of, opinions on, and potential solutions to differences between hypothetical versus experienced responses, in the context of allocating health resources.

METHODS

Six focus groups with 30 members of the UK adult public were conducted, transcribed verbatim, and analysed using framework analysis. Participants self-completed the EQ-5D-5L, before reporting the expected consequences of being in two hypothetical EQ-5D-5L health states for ten years. Second, participants were presented with prior results on the same task from a public (hypothetical) and patient (experienced) sample. Third, a semi-structured discussion explored participants': (1) understanding, (2) opinions, and (3) potential resolutions.

RESULTS

Twenty themes emerged, clustered by the three discussion points. Most participants found imagining the health states difficult without experience, with those aligned to mental health harder to understand. Participants were surprised that health resource allocation was based on hypothetical responses. They viewed experienced responses as more accurate, but noted potential biases. Participants were in favour of better informing, but not influencing the public. Other solutions included incorporating other perspectives (e.g., carers) or combining/weighting responses.

CONCLUSION

Members of the UK public appear intuitively not to support using potentially uninformed public values to hypothetical health states in the context of health resource allocation. Acceptable solutions involve recruiting people with greater experience, including other/combinations of views, or better informing respondents.

An experience- and preference-based EQ-5D-3L value set derived using 18 months of longitudinal data in patients who sustained a fracture: results from the ICUROS

INTRODUCTION

EQ-5D-3L preference-based value sets are predominately based on hypothetical health states and derived in cross-sectional settings. Therefore, we derived an experience-based value set from a prospective observational study.

METHODS

The International Costs and Utilities Related to Osteoporotic fractures Study (ICUROS) was a multinational study on fragility fractures, prospectively collecting EQ-5D-3L and Time trade-off (TTO) within two weeks after fracture (including pre-fracture recall), and at 4, 12, and 18 months thereafter. We derived an EQ-5D-3L value set by regressing the TTO values on the ten impairment levels in the EQ-5D-3L. We explored the potential for response shift and whether preferences for domains vary systematically with prior impairment in that domain. Finally, we compared the value set to 25 other EQ-5D-3L preference-based value sets.

RESULTS

TTO data were available for 12,954 EQ-5D-3L health states in 4683 patients. All coefficients in the value set had the expected sign, were statistically significant, and increased monotonically with severity of impairment. We found evidence for response shift in mobility, self-care, and usual activities. The value set had good agreement with the only other experience- and preference-based value set, but poor agreement with all hypothetical value sets.

CONCLUSIONS

We present an experience- and preference-based value set with high face validity. The study indicates that response shift may be important to account for when deriving value sets. Furthermore, the study suggests that perspective (experienced versus hypothetical) is more important than country setting or demographics for valuation of EQ-5D-3L health states.

Preferences for investment in and allocation of additional healthcare capacity

Policy makers need to make decisions regarding the allocation of scarce healthcare resources. We study preferences for investment in additional healthcare capacity and allocation between two regions, focusing on reducing waiting time for elective surgery for a physical health problem. We elicit preferences from a societal and an individual perspective, with unequal initial waiting times between the two regions. In an online survey, 1039 respondents were randomly assigned to one of three versions of the experiment: (1) a social planner perspective, placing respondents in the role of a policy maker; (2) an individual perspective where the respondent's own region was better off regarding initial waiting times; (3) an individual perspective where the individual's own region was worse off regarding initial waiting times. Respondents were asked to rank the status quo and five scenarios where the investment in additional capacity led to different distributions of shorter waiting times between regions. For all allocations we presented both the reduction in waiting time and the resulting final waiting time for both regions. We find that in version 1 of the experiment, preferences were in line with inequality aversion and Rawlsian preferences regarding final waiting time. In version 3, similar preferences were found, although here they also align with individualistic preferences. In version 2, preferences were more heterogeneous, with both individualistic and egalitarian preferences present. Concluding, individualistic and egalitarian preferences mostly concerned final waiting time. We therefore recommend policy makers to focus on the effect on final waiting time instead of the reduction of waiting time.

Determination of a cost-effectiveness threshold for cancer interventions in Iran

Background and objectives

The estimation of a cost- Effectiveness (CE) threshold from the perspective of those who have experienced a life-threatening disease can provide empirical evidence for health policy makers to make the best allocation decisions on limited resources. The aim of the current study was to empirically determine the CE threshold for cancer interventions from the perspective of cancer patients in Iran.

Methods

A composite time trade-off (cTTO) task for deriving quality adjusted life-year (QALY) and a double-bounded dichotomous choice (DBDC) approach followed by open-ended question for examining patients' willingness-to-pay were performed. A nationally representative sample of 580 cancer patients was recruited from the largest governmental cancer centers in Iran between June 2021 and January 2022, and data were gathered using face-to-face interviews. The CE threshold was calculated using the nonparametric Turnbull model and parametric interval-censored Weibull regression model. Furthermore, the factors that affect the CE threshold were determined using the parametric model.

Results

The estimated CE threshold using the nonparametric Turnbull model and parametric interval-censored Weibull regression model was IRR 440,410,000 (USD 10,485.95) and IRR 595,280,000 (USD 14,173.33) per QALY, respectively. Gender, age, education, income, type of cancer, and current treatment status were significantly associated with the estimated CE threshold.

Conclusions

The value of parametric model-based threshold in this study was 1.98 times the Iranian GDP per capita, which was lower than the CE threshold value recommended by the WHO (i.e., 3 times the GDP per capita) for low-and middle-income countries.

Value Set for the EQ-5D-Y-3L in Hungary

BACKGROUND

The Hungarian health technology assessment guidelines recommend the use of the EuroQol instrument family in quality-adjusted life-year calculations. However, no national value set exists for the EQ-5D-Y-3L or any other youth-specific instrument.

OBJECTIVE

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

METHODS

This study followed the international valuation protocol for the EQ-5D-Y-3L. Two independent samples, representative of the Hungarian general adult population in terms of age and sex were recruited to complete online discrete choice experiment (DCE) tasks and composite time trade-off (cTTO) tasks by computer-assisted personal interviews. Adults valued hypothetical EQ-5D-Y-3L health states considering the health of a 10-year-old child. DCE data were modelled using a mixed logit model with random-correlated coefficients. Latent DCE utility estimates were mapped onto mean observed cTTO utilities using ordinary least squares regression.

RESULTS

Overall, 996 and 200 respondents completed the DCE and cTTO surveys, respectively. For each domain, the value set resulted in larger utility decrements with more severe response levels. The relative importance of domains by level 3 coefficients was as follows: having pain or discomfort > feeling worried, sad or unhappy > mobility > doing usual activities > looking after myself. Overall, 12.3% of all health states had negative utilities in the value set, with the worst health state having the lowest predicted utility of - 0.485.

CONCLUSION

This study developed a national value set of the EQ-5D-Y-3L for Hungary. The value set enables to evaluate the cost utility of health technologies for children and adolescents based on societal preferences in Hungary.

The Role of Perceived Utility of Full Health in Age Weighting

OBJECTIVES

People often give different weights to quality-adjusted life-years (QALYs) gained by different socioeconomic groups. It is well known that QALY gains of younger patients generally get more weight than the same QALY gains accruing to older patients. This study aims to separate these age-related preferences into "pure age weighting" and age weighting caused by full health not perceived as being the same for the old as for the young.

METHODS

We apply a person trade-off method in a large sample representative (N = 500) of the Dutch general adult population to estimate age weighting factors. We describe health as a percentage of what is considered full health for a given age, for which we obtain a proxy in a separate task.

RESULTS

A high amount of age weighting is observed, with QALYs to 20-year-old patients receiving approximately 1.5 times as much weight as QALYs to 80-year-old patients. At the same time, we see that individuals do not perceive full health to be the same for young and older people. In fact, the age weighting disappears once we control for these differences in full health perceptions.

CONCLUSIONS

Respondents had strong preferences for the young relative to the old, but these preferences were related to full health perceptions, that is, more weight being assigned to younger because full health is at a higher absolute level for them than for the old.

Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment

BACKGROUND

The Veterans RAND 12-Item Health Survey (VR-12) is a generic patient-reported outcome measure derived from the widely used 36- and 12-item Short Form Health Surveys. We aimed to estimate a Canadian preference-based scoring algorithm for the VR-12, enabling the derivation of health utility values for generating quality-adjusted life years (QALYs).

METHODS

We conducted a discrete-choice experiment in a sample of the Canadian population in January and February 2019. Participants - recruited from a consumer research panel - completed an online survey, in English or French, that included 11 discrete-choice questions, each comprising 2 health profiles. We defined the health profiles using 8 VR-12 items and a duration attribute. Using conditional logit regressions, where each level of the respective VR-12 items was interacted with duration, we applied the coefficients to estimate health utility values interpretable on a scale of 0 (dead) to 1 (full health). Negative values reflect states considered worse than dead.

RESULTS

A total of 3380 individuals completed the survey. Of these, 1688 (49.9%) were females, and 3101 (91.7%) completed the English version of the survey. Across all models, "feel downhearted and blue all of the time" and "pain interferes with your normal work extremely" were associated with the largest decrements in health utility. Excluding the 685 respondents (20.3%) who provided inconsistent responses had a negligible effect on the results. The recommended model, weighted to match population demographics, had health utility values ranging from -0.589 to 1.000.

INTERPRETATION

Health utility values that reflect the preferences of the Canadian population can now be derived from responses to the VR-12. These values can be used to generate QALYs in future analyses.

Exploring EQ-5D-Y-3L Experience-Based VAS Values Derived Among Adolescents

OBJECTIVES

The EQ-5D-Y-3L is a generic health-related quality of life (HRQoL) instrument, developed from the adult version to be suitable for children and adolescents aged 8-15 years. To derive values for the EQ-5D-Y-3L different valuation methods and perspectives have been applied. The aim of this study was to explore EQ-5D-Y-3L experience-based visual analogue scale (VAS) values derived among adolescents.

METHODS

Data were derived from a cross-sectional population survey administered via schools in 2014 to adolescents aged 13-18 years, in Sweden. Regression analyses were performed on individual data with the VAS value as dependent variable. Ordinary least-squares (OLS) and generalised linear models (GLM) were estimated with two dummy variables for each of the EQ-5D-Y-3L dimensions. Interaction variables were tested. One way of anchoring VAS at dead and full health by using the predicted values for worst and best health states defined by the EQ-5D-Y-3L descriptive system was explored.

RESULTS

Of the 243 possible health states in EQ-5D-Y-3L, 92 were reported by the 6,468 respondents. The largest decrements in VAS values were observed for the dimension 'feeling worried, sad or unhappy' followed by 'doing usual activities'. All models performed similarly in terms of monotonicity and goodness of fit but in terms of simplicity and understandability, the OLS main effect model was superior.

CONCLUSIONS

We have explored experience-based VAS values for the EQ-5D-Y-3L derived among adolescents. The findings suggest that it is possible for adolescents to value their own health state using the VAS, which makes it possible to capture aspects that are important for young people.

The QALY is ableist: on the unethical implications of health states worse than dead

INTRODUCTION

A long-standing criticism of the QALY has been that it would discriminate against people in poor health: extending the lives of individuals with underlying health conditions gains fewer QALYs than extending the lives of 'more healthy' individuals. Proponents of the QALY counter that this only reflects the general public's preferences and constitutes an efficient allocation of resources. A pivotal issue that has thus far been overlooked is that there can also be negative QALYs.

METHODS AND RESULTS

Negative QALYs are assigned to the times spent in any health state that is considered to be worse than dead. In a health economic evaluation, extending the lives of people who live in such states reduces the overall population health; it counts as a loss. The problem with this assessment is that the QALY is not based on the perspectives of individual patients-who usually consider their lives to be well worth living-but it reflects the preferences of the general public. While it may be generally legitimate to use those preferences to inform decisions about the allocation of health care resources, when it comes to states worse than dead, the implications are deeply problematic. In this paper, I discuss the (un)ethical aspects of states worse than dead and demonstrate how their use in economic evaluation leads to a systematic underestimation of the value of life-extending treatments.

CONCLUSION

States worse than dead should thus no longer be used, and a non-negative value should be placed on all human lives.

Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population

PURPOSE

This study aimed to investigate inequality and heterogeneity in health-related quality of life (HRQoL) and to provide EQ-5D-5L population reference data for Sweden.

METHODS

Based on a large Swedish population-based survey, 25,867 respondents aged 30‒104 years, HRQoL is described by sex, age, education, income, economic activity, health-related behaviours, self-reported diseases and conditions. Results are presented by EQ-5D-5L dimensions, respondents rating of their overall health on the EQ visual analogue scale (EQ VAS), VAS index value and TTO (time trade-off) index value allowing for calculation of quality-adjusted life years (QALYs). Ordinary Least Squares and multivariable logistic regression analyses were used to study inequalities in observed EQ VAS score between socioeconomic groups and the likelihood to report problems on the dimensions, respectively, adjusted for confounders.

RESULTS

In total, 896 different health states were reported; 24.1% did not report any problems. Most problems were reported with pain/discomfort. Women reported worse HRQoL than men, and health deteriorated with age. The strongest association between diseases and conditions and EQ VAS score was seen for depression and mental health problems. There was a socioeconomic gradient in HRQoL; adjusting for health-related behaviours, diseases and conditions slightly reduced the differences between educational groups and income groups, but socioeconomic inequalities largely remained.

CONCLUSION

EQ-5D-5L population reference (norms) data are now available for Sweden, including socioeconomic differentials. Results may be used for comparisons with disease-specific populations and in health economic evaluations. The observed socioeconomic inequality in HRQoL should be of great importance for policy makers concerned with equity aspects.

Challenges of Cost-Effectiveness Analyses of Novel Therapeutics for Inherited Retinal Diseases

PURPOSE

To investigate the challenges and potential improvement strategies of cost-effectiveness analyses performed for therapeutics targeting inherited retinal diseases (IRDs).

DESIGN

Perspective.

METHODS

A literature review was conducted with discussion of current limitations and improvement recommendations.

RESULTS

Cost-effectiveness analysis (CEA) performed for IRD therapeutics has multiple limitations. First, the available methods used to measure health-related quality of life and health utilities can be inaccurate when used in IRDs. Second, the financial burden to patients and society from vision impairment associated with IRDs has been inadequately studied and includes a variety of expenditures ranging from direct costs of IRD specialty health care to indirect expenses associated with daily living activities. Third, our collective understanding is limited in the areas of IRD natural history and health benefits gained from new IRD treatments (eg, gene therapies). In addition, the therapeutic effect from a patient perspective and its duration of action are not fully understood. Due to the scarcity of data, CEA for newly approved therapies has relied on assumptions and creations of predictive models for both costs and health benefits for these new therapeutics in order to calculate the incremental cost-effectiveness ratio.

CONCLUSIONS

CEA studies performed for IRD therapeutics have been limited by the established health utilities in ophthalmology and the lack of disease-specific information. The assumptions and extrapolations in these studies create substantial uncertainty in incremental cost-effectiveness ratio results. An improved framework is required for CEA of IRD therapeutics in order to determine the cost-effectiveness of each therapy brought from clinical trials to clinical practice.

'Like holding the axe on who should live or not': adolescents' and adults' perceptions of valuing children's health states using a standardised valuation protocol for the EQ-5D-Y-3L

Purpose

There is an increasing interest for using qualitative methods to investigate peoples’ cognitive process when asked to value health states. A standardised valuation protocol for the EQ-5D-Y-3L instrument was recently developed. Little is known regarding how people think, reason, and feel when asked to value health states for children. The aim was to explore how adolescents and adults perceive the task of valuing children’s health states using the standardised valuation protocol.

Methods

This was a qualitative study where adults (n = 10) and adolescents (n = 10) from the general population participated in individual video-interviews. Initially, participants reported their own health with the EQ-5D-3L instrument. Then they were asked to complete several valuations tasks for a 10-year-old child according to the standardised valuation protocol, followed by a semi-structured interview with open-ended questions to further explore participants’ perceptions. A qualitative content analysis was performed.

Results

The two main categories that emerged from the data were ‘Thoughts and feelings when valuing children’s health states’ and ‘Strategies when valuing children’s health states’. Participants expressed feeling doubt, awfulness and being reluctant to trade-off life years, and questioned who has the right to value health states for children. Experience and point of view were strategies participants used to complete the valuation tasks.

Conclusion

The findings from the present study can contribute to the understanding and interpretation of quantitative results where the standardised valuation protocol has been used to derive values for the EQ-5D-Y-3L. Furthermore, results of the study support the feasibility of including adolescents in valuation studies.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-022-03107-0.

Monetary Valuation of a Quality-Adjusted Life Year (QALY) for Depressive Disorders Among Patients and Non-Patient Respondents: A Matched Willingness to Pay Study

Background

As estimated by the World Health Organization, depressive disorders will be the leading contributor to the Global Burden of Disease by 2030. In light of this fact, we designed a study whose aim was to investigate whether the value placed on health-related quality of life (HRQoL) for a depressive disorder is higher in patients diagnosed with a major depressive disorder (MDD) compared to non-patients in a matched sample.

Method

We collected data on willingness to pay (WTP) for a total of four health-gain scenarios, which were presented to 18 outpatients diagnosed with a MDD versus 18 matched non-patient respondents with no symptoms of depression. Matching characteristics included age, income, level of education, and type of health insurance. Respondents were presented with different HRQoL scenarios in which they could choose to pay money to regain their initial health state through various treatment options (e.g., inpatient treatment, electroconvulsive therapy). To test whether the probability of stating a positive WTP differed significantly between the two samples, Fisher's exact test was used. Differences regarding stated WTP between the samples were investigated using the Mann-Whitney U-test.

Results

For most of the health scenarios, the probability of stating a positive WTP did not differ between the two samples. However, patient respondents declared WTP values up to 7.4 times higher than those stated by matched non-patient respondents.

Conclusion

Although the perceived necessity to pay for mental-HRQoL gains did not differ between respondents with MDD and respondents with no symptoms of depression, patient respondents stated higher values.

EQ-5D-5L Health-State Values for the Mexican Population

OBJECTIVE

To generate a value set for the Mexican adult general population to support and facilitate the inclusion of quality-adjusted life years (QALYs) into the health technology assessment process of the Mexican healthcare authorities.

METHODS

A representative sample of the Mexican adult population stratified by age, sex and socio-economic status was used. Following version 2.0 of the EuroQol EQ-5D-5L valuation protocol, trained interviewers guided participants in completing composite time trade-off (cTTO) and discrete-choice experiment (DCE) tasks included in the EQ-VT software. Generalized least squares, Tobit and Bayesian models were used for cTTO data. The choice of value set model was based on criteria that included: theoretical considerations, parsimony, logical ordering of coefficients, and statistical significance.

RESULTS

Based on quality control criteria and interviewer judgment, 1000 out of 1032 participants provided useable responses. Participants' demographic characteristics were similar to the 2010 Mexican Population Census and followed the socioeconomic structure defined by the Mexican Association of Marketing Research and Public Opinion Agencies (AMAI). The predicted index values in the final cTTO model (a heteroscedastic censored model with Bayesian estimation) ranged from - 0.5960 to 1, with 19.7% of all predicted health state scores less than 0 (i.e., worse than dead).

CONCLUSION

This study has generated the first value set representing the stated preferences of the Mexican adult population for use in estimating QALYs. The resulting EQ-5D-5L value set is technically robust and will facilitate health economic analyses as well as quality-of-life studies.

Valuing child and adolescent health: a qualitative study on different perspectives and priorities taken by the adult general public

BACKGROUND

Quantitative health preference research has shown that different "perspectives", defined here as who is imagined to be experiencing particular health states, impact stated preferences. This qualitative project aimed to elucidate this phenomenon, within the context of adults' valuation of child and adolescent health states.

METHODS

Six focus groups with 30 members of the UK adult public were conducted between December 2019 and February 2020 and analysed using framework analysis. Each focus group had two stages. First, participants individually completed time trade-off tasks and a pairwise task (mirroring a discrete choice experiment without duration) for two EQ-5D-Y health states, assuming a series of perspectives: (a) themselves at current age; (b) another adult; (c) 10-year old child; (d) themselves as a 10-year old child. Second, a semi-structured discussion explored their responses.

RESULTS

Participants' views were often heterogeneous, with some common themes. Qualitatively, participants expressed a different willingness to trade-off life years for a 10-year old child versus themselves or another adult, and this differed by the health profile and child imagined. The same health states were often viewed as having a different impact on utility for a 10-year old child than adults. Imagining a 10-year old child is difficult and there is variation in who is imagined. Participants found answering based on their own-adult perspective most acceptable. There were no strong preferences for prioritising child health over working-age adults' health.

CONCLUSIONS

If an adult sample is used to value child- and adolescent-specific health states it is important to consider the perspective employed. Members of the adult public provide different responses when different perspectives are used due to differences in the perceived impact of the same health states. If adults are asked to imagine a child, we recommend that sampling is representative for parental status, since this can affect preferences.

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.

Variations in Patients' Overall Assessment of Their Health Across and Within Disease Groups Using the EQ-5D Questionnaire: Protocol for a Longitudinal Study in the Swedish National Quality Registers

BACKGROUND

EQ-5D is one of the most commonly used questionnaires to measure health-related quality of life. It is included in many of the Swedish National Quality Registers (NQRs). EQ-5D health states are usually summarized using "values" obtained from members of the general public, a majority of whom are healthy. However, an alternative, which remains to be studied in detail, is the potential to use patients' self-reported overall health on the visual analog scale (VAS) as a means of capturing experience-based perspective.

OBJECTIVE

The aim of this study is to assess EQ VAS as a valuation method with an experience-based perspective through comparison of its performance across and within patient groups, and with that of the general population in Sweden.

METHODS

Data on nearly 700,000 patients from 12 NQRs covering a variety of diseases/conditions and nearly 50,000 individuals from the general population will be analyzed. The EQ-5D-3L data from the 12 registers and EQ-5D-5L data from 2 registers will be used in the analyses. Longitudinal studies of patient-reported outcomes among different patient groups will be conducted in the period from baseline to 1-year follow-up. Descriptive statistics and analyses comparing EQ-5D dimensions and observed self-assessed EQ VAS values across and within patient groups will be performed. Comparisons of the change in health state and observed EQ VAS values at 1-year follow-up will also be undertaken. Regression models will be used to assess whether EQ-5D dimensions predict observed EQ VAS values to investigate patient value sets in each patient group. These will be compared across the patient groups and with the existing Swedish experience-based VAS and time trade-off value sets obtained from the general population.

RESULTS

Data retrieval started in May 2019 and data of patients in the 12 NQRs and from the survey conducted among the general population have been retrieved. Data analysis is ongoing on the retrieved data.

CONCLUSIONS

This research project will provide information on the differences across and within patient groups in terms of self-reported health status through EQ VAS and comparison with the general population. The findings of the study will contribute to the literature by exploring the potential of self-assessed EQ VAS values to develop value sets using an experience-based perspective.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04359628; https://clinicaltrials.gov/ct2/show/NCT04359628.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/27669.

How to integrate evidence from patient preference studies into health technology assessment: a critical review and recommendations

Health technology assessment (HTA) agencies vary in their use of quantitative patient preference data (PP) and the extent to which they have formalized this use in their guidelines. Based on the authors' knowledge of the literature, we identified six different PP "use cases" that integrate PP into HTA in five different ways: through endpoint selection, clinical benefit rating, predicting uptake, input into economic evaluation, and a means to weight all HTA criteria. Five types of insight are distinguished across the use cases: understanding what matters to patients, predicting patient choices, estimating the utility generated by treatment benefits, estimating the willingness to pay for treatment benefits, and informing distributional considerations. Summarizing the literature on these use cases, we recommend circumstances in which PP can add value to HTA and the further research and guidance that is required to support the integration of PP in HTA. Where HTA places more emphasis on clinical outcomes, novel endpoints are available; or where there are already many treatment options, PP can add value by helping decision makers to understand what matters to patients. Where uptake is uncertain, PP can be used to estimate uptake probability. Where indication-specific utility functions are required or where existing utility measures fail to capture the value of treatments, PP can be used to generate or supplement existing utility estimates. Where patients are paying out of pocket, PP can be used to estimate willingness to pay.

Think of the Children: A Discussion of the Rationale for and Implications of the Perspective Used for EQ-5D-Y Health State Valuation

OBJECTIVES

The recently published EQ-5D-Y valuation protocol prescribes the general public values EQ-5D-Y health states for a 10-year-old child. This child perspective differs from the individual perspective applied for valuation of adult EQ-5D instruments. This article discusses the rationale for and implications of applying a child perspective for EQ-5D-Y health state valuation.

METHODS

This article was informed by an exploration of the normative and empirical literature on health state valuation. We identified and summarized key discussion points in a narrative review.

RESULTS

Although valuing EQ-5D-Y health states from an individual perspective is feasible, it may be problematic for several reasons. The use of a child perspective implies that-rather than valuing one's own health-someone else's health is valued. This may require the projection of one's own beliefs, expectations, and preferences on others, which could change the decision processes underlying the elicited preferences. Furthermore, because preferences are obtained for a 10-year-old child, it is unclear if this given age as well as other (missing) information on the described child beneficiary (should) affect valuation of EQ-5D-Y health states.

CONCLUSIONS

The change from an individual to a child perspective in the valuation of EQ-5D-Y will likely lead to differences in utilities. This has implications for the estimation of incremental health-related quality-of-life gains in economic evaluations of health technologies for children and adolescents and therefore might affect reimbursement decisions. Further research is necessary for gaining insight into the extent to which this impact is normatively and empirically justified.