Accounting for Preference Heterogeneity in Discrete-Choice Experiments: An ISPOR Special Interest Group Report

A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States

A maternal vaccine and long-acting monoclonal antibody (mAb) were recently approved to protect infants against respiratory syncytial virus (RSV). We identified subgroups of pregnant people with different preferences for RSV preventives and respondent characteristics associated with subgroup membership. An online survey, including a discrete choice experiment (DCE), was conducted among US pregnant people. RSV preventive attributes included effectiveness, duration of protection during RSV season, injection recipient/timing, preventive type (vaccine or mAb), and type of visit required to receive injection. In DCE choice tasks, pregnant people selected between two hypothetical preventive profiles with varying attribute-levels and a no-preventive option. Logistic regression, including latent class analysis (LCA), was used to analyze the data. Of 992 pregnant people (mean age: 30.0 years), 60.3% were expecting their second/later birth. LCA identified three preference subgroups: 'Effectiveness' (preventive choice mostly driven by increases in effectiveness; 51.4% class membership probability), 'Season' (preventive choice mostly driven by improvement in duration of protection during the RSV season; 39.2% class membership probability), and 'No Preventive' (frequently chose no-preventive option; 9.4% class membership probability). 'Effectiveness' and 'Season' preferred maternal vaccine over mAb; mAb was preferred by 'No Preventive.' Perceiving RSV as serious for infants, higher health literacy, and lower household income were associated with 'Effectiveness.' Perceiving RSV as serious for pregnant people was associated with 'Season.' Perceiving RSV to not be serious for pregnant people and not being employed were associated with 'No Preventive.' Subgroups of pregnant people vary in preferences for RSV preventives. Most pregnant people preferred a maternal vaccine, although some may be more willing to accept alternative preventive options.

Making Use of Technology to Improve Stated Preference Studies

The interest in quantifying stated preferences for health and healthcare continues to grow, as does the technology available to support and improve health preference studies. Technological advancements in the last two decades have implications and opportunities for preference researchers designing, administering, analysing, interpreting and applying the results of stated preference surveys. In this paper, we summarise selected technologies and how these can benefit a preference study. We discuss empirical evaluations of the technology in preference research, with examples from health where possible. The technologies reviewed include serious games, virtual reality, eye tracking, innovative formats and decision aids with values clarification components. We conclude with a critical reflection on the benefits and limitations of implementing (often costly) technology alongside stated preference studies.

Preferences for innovations in healthcare delivery models in the Swiss elderly population: a latent class, choice modelling study

BACKGROUND

With the increasing number of people affected by multiple chronic conditions, it is essential for public-health professionals to promote strategies addressing patient needs for coordinated care. We aim to explore preference heterogeneity for better-coordinated care delivery models in Swiss older adults, and identify profiles of individuals more open to healthcare reforms.

METHODS

A DCE (discrete choice experiment) survey was developed online and on paper for the Swiss adults aged 50+, following best practice. To elicit preferences, we estimated a latent class model allowing grouping individuals with similar preferences into distinct classes, and examined what background characteristics contributed to specific class membership.

RESULTS

The optimal model identified three classes with different openness to reforms. Class 1 (49%) members were concerned with premium increases and were in favour of integrated care structures with care managed by interprofessional teams. Individuals in class 2 (19%) were younger, open to reforms, and expressed the needs for radical changes within the Swiss healthcare system. Class 3 respondents (32%) were strongly reluctant to changes.

CONCLUSIONS

Our study goes beyond average preferences and identifies three distinct population profiles, a majority open to reforms on specific aspects of care delivery, a smallest group in favour radical changes, and a third strongly against changes. Therefore, tailored approaches around healthcare reforms are needed, e.g. explaining the role of interprofessional teams in coordinating care, electronic health records and insurance premium variation.

Understanding Clinician Preferences for Treatment Attributes in Oncology: A Discrete Choice Experiment of Oncologists' and Urologists' Preferences for First-Line Treatment of Locally Advanced/Unresectable Metastatic Urothelial Carcinoma in Five European Countries

INTRODUCTION

Prior discrete choice experiments (DCE) in oncology found that, on average, clinicians rank survival as the most important treatment attribute. We investigate heterogeneity in clinician preferences within the context of first-line treatment for advanced urothelial carcinoma in Spain, France, Italy, Germany, and the UK.

METHODS

The online DCE included 12 treatment choice tasks, each comparing two hypothetical therapy profiles defined by treatment attributes: grade 3/4 treatment-related adverse events (TRAEs), induction and maintenance administration schedules, progression-free survival, and overall survival (OS). We used a random parameters logit model to estimate attribute relative importance (RI) (0-100%) and generate preference shares for four treatment profiles. Results were stratified by country. Preference heterogeneity was evaluated by latent class analysis.

RESULTS

In August and September 2022, 498 clinicians (343 oncologists and 155 urologists) completed the DCE. OS had the strongest influence on clinicians' preferences [RI = 62%; range, 51.6% (Germany) to 63.7% (Spain)] followed by frequency of grade 3/4 TRAEs (RI = 27%). Among treatment profiles, the chemotherapy plus immune checkpoint inhibitor maintenance therapy profile had the largest preference share [51%; range, 38% (Italy) to 56% (UK)]. Four latent classes of clinicians were identified (N = 469), with different treatment profile preferences: survival class (30.1%), trade-off class (22.4%), no strong preference class (40.9%), and aggressive treatment class (6.6%). OS was not the most important attribute for 30.0% of clinicians.

CONCLUSION

While average sample results were consistent with those of prior DCEs, this study found heterogeneity in clinician preferences within and across countries, highlighting the diversity in clinician decision making in oncology.

Preferences of Patients with Amyotrophic Lateral Sclerosis for Intrathecal Drug Delivery: Choosing between an Implanted Drug-Delivery Device and Therapeutic Lumbar Puncture

BACKGROUND

Novel intrathecal treatments for amyotrophic lateral sclerosis (ALS) may require delivery using lumbar puncture (LP). Implanted drug-delivery devices (IDDDs) could be an alternative but little is known about patients' preferences for intrathecal drug-delivery methods.

OBJECTIVE

We aimed to elicit preferences of patients with ALS for routine LP and IDDD use.

METHODS

A discrete choice experiment (DCE) and a threshold technique (TT) exercise were conducted online among patients with ALS in the US and Europe. In the DCE, patients made trade-offs between administration attributes. Attributes were identified from qualitative interviews. The TT elicited maximum acceptable risks (MARs) of complications from device implantation surgery. DCE data were analyzed using mixed logit to quantify relative attribute importance (RAI) as the maximum contribution of each attribute to a preference, and to estimate MARs of device failure. TT data were analyzed using interval regression. Four scenarios of LP and IDDD were compared.

RESULTS

Participants (N = 295) had a mean age of 57.7 years; most (74.2%) were diagnosed < 3 years ago. Preferences were affected by device failure risk (RAI 28.6%), administration frequency (26.4%), administration risk (19.7%), overall duration (17.8%), and appointment location (7.5%). Patients accepted a 5.6% device failure risk to reduce overall duration from 2 h to 30 min and a 3.6% risk for administration in a local clinic instead of a hospital. The average MAR of complications from implantation surgery was 29%. Patients preferred IDDD over LP in three of four scenarios.

CONCLUSION

Patients considered an IDDD as a valuable alternative to LP in multiple clinical settings.

A discrete choice experiment to elicit preferences for a chronic disease screening programme in Queensland, Australia

OBJECTIVE

Patient-centred care, increasingly highlighted in healthcare strategies, necessitates understanding public preferences for healthcare service attributes. We aimed to understand the preferences of the Australian population regarding the attributes of chronic disease screening programmes.

STUDY DESIGN

The preferences were elicited using the discrete choice experiment (DCE) methodology.

METHODS

A DCE was administered to a sample of the Australian general population. Respondents were asked to make choices, each offering two hypothetical screening scenarios defined by screening conduct, quality and accuracy of the test results, cost to the patient, wait time and source of information. Data were analysed using a panel mixed multinomial logit model.

RESULTS

A strong preference for highly accurate screening tests and nurse-led screenings at local health clinics was evident. They expressed disutility for waiting time and out-of-pocket costs but were indifferent about the source of information. Their preference for a nurse-led programme was highlighted by the fact that they were willing to pay $81 and $88 to get a nurse-led programme when they were offered a general practitioner-led and a specialist-led programme, respectively. Furthermore, they were willing to pay $32 to reduce a week of waiting time and $205 for a 95% accurate test compared to a 75% accurate test. Preferences remained consistent irrespective of the respondent's place of residence.

CONCLUSIONS

Our findings highlight the importance of diagnostic test accuracy and nurse-led service delivery in chronic disease screening programmes. These insights could guide the development of patient-centric services by enhancing test accuracy, reducing waiting times and promoting nurse-led care models.

Stated-Preference Survey Design and Testing in Health Applications

Following the conceptualization of a well-formulated and relevant research question, selection of an appropriate stated-preference method, and related methodological issues, researchers are tasked with developing a survey instrument. A major goal of designing a stated-preference survey for health applications is to elicit high-quality data that reflect thoughtful responses from well-informed respondents. Achieving this goal requires researchers to design engaging surveys that maximize response rates, minimize hypothetical bias, and collect all the necessary information needed to answer the research question. Designing such a survey requires researchers to make numerous interrelated decisions that build upon the decision context, selection of attributes, and experimental design. Such decisions include considering the setting(s) and study population in which the survey will be administered, the format and mode of administration, and types of contextual information to collect. Development of a survey is an interactive process in which feedback from respondents should be collected and documented through qualitative pre-test interviews and pilot testing. This paper describes important issues to consider across all major steps required to design and test a stated-choice survey to elicit patient preferences for health preference research.

Preferences and Willingness to Pay for Medication in Patients with Renal Cell Carcinoma in China: A Discrete-Choice Experiment

OBJECTIVE

We aimed to assess the relative importance of attributes and the willingness to pay for pharmacological therapies among patients with renal cell carcinoma in China.

METHODS

Patients with renal cell carcinoma completed a D-efficient-designed, discrete-choice experiment online survey that presented a series of ten trade-off questions and one examining scenario. Based on the literature review and consultations with patients with renal cell carcinoma and clinicians, each question included a pair of hypothetical renal cell carcinoma medication profiles characterized by seven attributes including progression-free survival, objective response rate, medication regimen, fatigue, gastrointestinal reaction, hand-foot syndrome, and monthly out-of-pocket costs. Relative importance and willingness to pay were calculated using coefficients estimated by mixed logit regression in the main analysis. Subgroup analyses were conducted considering the heterogeneity of the participants, based on sex, education level, and income level, using conditional logit regression.

RESULTS

The analysis incorporated responses from 182 Chinese respondents. Except for the medication regimen, all attributes were statistically significant. Progression-free survival was the most important attribute, followed by objective response rate, monthly out-of-pocket costs, fatigue, gastrointestinal reaction, and hand-foot syndrome. Patients were willing to pay ￥2010.51 ($298.30), ￥494.93 ($73.43) for 1 unit improvement of progression-free survival, and objective response rate, and￥7558.93 ($1121.50), ￥6927.24 ($1027.78) to avoid experiencing fatigue and gastrointestinal reaction, respectively. Differences in preferences and willingness to pay were found according to patients' gender, income, and education level.

CONCLUSIONS

In China, patients with renal cell carcinoma preferred medications with better efficacy (objective response rate and progression-free survival) and lower out-of-pocket costs. Heterogeneity can be found in preferences and willingness to pay based on patients' gender, income, and education levels.

A Longer Life or a Quality Death? A Discrete Choice Experiment to Estimate the Relative Importance of Different Aspects of End-of-Life Care in the United Kingdom

Background. Advocates argue that end-of-life (EOL) care is systematically disadvantaged by the quality-adjusted life-year (QALY) framework. By definition, EOL care is short duration and not primarily intended to extend survival; therefore, it may be inappropriate to value a time element. The QALY also neglects nonhealth dimensions such as dignity, control, and family relations, which may be more important at EOL. Together, these suggest the QALY may be a flawed measure of the value of EOL care. To test these arguments, we administered a stated preference survey in a UK-representative public sample. Methods. We designed a discrete choice experiment (DCE) to understand public preferences over different EOL scenarios, focusing on the relative importance of survival, conventional health dimensions (especially physical symptoms and anxiety), and nonhealth dimensions such as family relations, dignity, and sense of control. We used latent class analysis to understand preference heterogeneity. Results. A 4-class latent class multinomial logit model had the best fit and illustrated important heterogeneity. A small class of respondents strongly prioritized survival, whereas most respondents gave relatively little weight to survival and, generally speaking, prioritized nonhealth aspects. Conclusions. This DCE illustrates important heterogeneity in preferences within UK respondents. Despite some preferences for core elements of the QALY, we suggest that most respondents favored what has been called "a good death" over maximizing survival and find that respondents tended to prioritize nonhealth over conventional health aspects of quality. Together, this appears to support arguments that the QALY is a poor measure of the value of EOL care. We recommend moving away from health-related quality of life and toward a more holistic perspective on well-being in assessing EOL and other interventions.

Highlights

Advocates argue that some interventions, including but not limited to end-of-life (EOL) care, are valued by patients and the public but are systematically disadvantaged by the quality-adjusted life-year (QALY) framework, leading to an unfair and inefficient allocation of health care resources.Using a discrete choice experiment, we find some support for this argument. Only a small proportion of public respondents prioritized survival in EOL scenarios, and most prioritized nonhealth aspects such as dignity and family relations.Together, these results suggest that the QALY may be a poor measure of the value of EOL care, as it neglects nonhealth aspects of quality and well-being that appear to be important to people in hypothetical EOL scenarios.

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.

Role Preferences in Medical Decision Making: Relevance and Implications for Health Preference Research

Health preference research (HPR) is being increasingly conducted to better understand patient preferences for medical decisions. However, patients vary in their desire to play an active role in medical decisions. Until now, few studies have considered patients' preferred roles in decision making. In this opinion paper, we advocate for HPR researchers to assess and account for role preferences in their studies, to increase the relevance of their work for medical and shared decision making. We provide recommendations on how role preferences can be elicited and integrated with health preferences: (1) in formative research prior to a health preference study that aims to inform medical decisions or decision makers, (2a) in the development of health preference instruments, for instance by incorporating a role preference instrument and (2b) by clarifying the respondent's role in the decision prior to the preference elicitation task or by including role preferences as an attribute in the task itself, and (3) in statistical analysis by including random parameters or latent classes to raise awareness of heterogeneity in role preferences and how it relates to health preferences. Finally, we suggest redefining the decision process as a model that integrates the role and health preferences of the different parties that are involved. We believe that the field of HPR would benefit from learning more about the extent to which role preferences relate to health preferences, within the context of medical and shared decision making.

Adolescent and caregiver preferences for juvenile idiopathic arthritis treatment: a discrete-choice experiment

BACKGROUND

This study aimed to elicit and quantify preferences for treatments for juvenile idiopathic arthritis (JIA).

METHODS

We conducted a discrete-choice experiment among adolescents with JIA in the United States (US) (n = 197) and United Kingdom (UK) (n = 100) and caregivers of children with JIA in the US (n = 207) and UK (n = 200). In a series of questions, respondents chose between experimentally designed profiles for hypothetical JIA treatments that varied in efficacy (symptom control; time until next flare-up), side effects (stomachache, nausea, and vomiting; headaches), mode and frequency of administration, and the need for combination therapy. Using a random-parameters logit model, we estimated preference weights for these attributes, from which we derived their conditional relative importance.

RESULTS

On average, respondents preferred greater symptom control; greater time until the next flare-up; less stomachache, nausea, and vomiting; and fewer headaches. However, adolescents and caregivers in the US were generally indifferent across varying modes and frequencies of administration. UK adolescents and caregivers preferred tablets, syrup, or injections to intravenous infusions. US and UK adolescents were indifferent between treatment with monotherapy or combination therapy; caregivers in the UK preferred treatment with combination therapy to monotherapy. Subgroup analysis showed preference heterogeneity across characteristics including gender, treatment experience, and symptom experience in both adolescents and caregivers.

CONCLUSIONS

Improved symptom control, prolonged time to next flare-up, and avoidance of adverse events such as headache, stomachache, nausea, and vomiting are desirable characteristics of treatment regimens for adolescents with JIA and their caregivers.

Preferences in the Design and Delivery of Neurodevelopmental Follow-Up Care for Children: A Systematic Review of Discrete Choice Experiments

Neurodevelopmental disorders are a significant cause of morbidity. Early detection of neurodevelopmental delay is essential for timely diagnosis and intervention, and it is therefore important to understand the preferences of parents and clinicians for engaging with neurodevelopmental surveillance and follow-up care. Discrete choice experiment (DCE) may be an appropriate method for quantifying these preferences. This review systematically examined how DCEs have been designed and delivered in studies examining neurodevelopmental care of children and identified the preferred attributes that have been reported. PubMed, Embase, CINAHL, and Scopus databases were systematically searched. Studies were included if they used DCE to elicit preferences for a neurodevelopmental follow-up program for children. Two independent reviewers conducted the title and abstract and full-text screening. Risk of bias was assessed using a DCE-specific checklist. Findings were presented using a narrative synthesis. A total of 6618 records were identified and 16 papers were included. Orthogonal (n=5) and efficient (n=5) experimental designs were common. There was inconsistent reporting of design-related features. Analysis was primarily completed using mixed logit (n=6) or multinomial logit (n=3) models. Several key attributes for neurodevelopmental follow-up care were identified including social, behavioral and emotional support, therapy, waiting time, and out-of-pocket costs. DCE has been successfully used as a preference elicitation method for neurodevelopmental-related care. There is scope for improvement in the design and analysis of DCE in this field. Nonetheless, attributes identified in these studies are likely to be important considerations in the design and implementation of programs for neurodevelopmental care.

Preferences for Rehabilitation in Persons with a History of Stroke: A Discrete Choice Experiment

Objective

To investigate the preferences of persons with a history of stroke for various attributes of rehabilitation using a discrete choice experiment (DCE).

Design

Cross-sectional study.

Setting

A web-based survey.

Participants

A total of 600 adults with a history of stroke who were not asked whether or not they had participated in previous rehabilitation.

Intervention

None.

Main Outcome Measures

Preference weights by attribute ie, treatment time (30 minutes, one hour, one and a half hours), treatment content (walking exercises, activities of daily living; ADL exercises), priority treatment of paralyzed limbs (upper extremity, lower upper extremity), treatment location (hospital visit, home visit), therapist gender, and out-of-pocket costs for stroke rehabilitation using discrete choice experiment.

Results

The most common self-reported diagnosis was cerebral infarction (408 patients, 68%). The mean age was 62.0 ± 9.8 years, and 515 (85.8%) were male. Of the five attributes, excluding out-of-pocket costs, the highest relative importance score was treatment location (0.331), followed by treatment time (0.304). Among the rehabilitation programs, the statistically significant coefficients calculated were one hour of therapy (0.173, 95% CI = 0.088-0.258), hospital visits (0.241, 95% CI = 0.180-0.303), and female therapists (0.186, 95% CI = 0.125-0. 247). No significant differences were obtained regarding the treatment contents or the paralyzed limb to be treated.

Conclusion

A discrete choice experiment revealed that persons with a history of stroke prefer a one-hour hospital rehabilitation program with a female therapist, with cost being a major consideration for rehabilitation. The results of this study may provide useful information for rehabilitation professionals.

Patient and General Population Preferences Regarding the Benefits and Harms of Treatment for Metastatic Prostate Cancer: A Discrete Choice Experiment

Background

Patient preferences for treatment outcomes are important to guide decision-making in clinical practice, but little is known about the preferences of patients with metastatic hormone-sensitive prostate cancer (mHSPC).

Objective

To evaluate patient preferences regarding the attributed benefits and harms of systemic treatments for mHSPC and preference heterogeneity between individuals and specific subgroups.

Design setting and participants

We conducted an online discrete choice experiment (DCE) preference survey among 77 patients with metastatic prostate cancer (mPC) and 311 men from the general population in Switzerland between November 2021 and August 2022.

Outcome measurements and statistical analysis

We evaluated preferences and preference heterogeneity related to survival benefits and treatment-related adverse effects using mixed multinomial logit models and estimated the maximum survival time participants were willing to trade to avert specific adverse effects. We further assessed characteristics associated with different preference patterns via subgroup and latent class analyses.

Results and limitations

Patients with mPC showed an overall stronger preference for survival benefits in comparison to men from the general population (p = 0.004), with substantial preference heterogeneity between individuals within the two samples (both p < 0.001). There was no evidence of differences in preferences for men aged 45-65 yr versus ≥65 yr, patients with mPC in different disease stages or with different adverse effect experiences, or general population participants with and without experiences with cancer. Latent class analyses suggested the presence of two groups strongly preferring either survival or the absence of adverse effects, with no specific characteristic clearly associated with belonging to either group. Potential biases due to participant selection, cognitive burden, and hypothetical choice scenarios may limit the study results.

Conclusions

Given the relevant heterogeneity in participant preferences regarding the benefits and harms of treatment for mHSPC, patient preferences should be explicitly discussed during decision-making in clinical practice and reflected in clinical practice guidelines and regulatory assessment regarding treatment for mHSPC.

Patient summary

We examined the preferences (values and perceptions) of patients and men from the general population regarding the benefits and harms of treatment for metastatic prostate cancer. There were large differences between men in how they balanced the expected survival benefits and potential adverse effects. While some men strongly valued survival, others more strongly valued the absence of adverse effects. Therefore, it is important to discuss patient preferences in clinical practice.

Framing the Family: A Qualitative Exploration of Factors That Shape Family-Level Experience of Pediatric Genomic Sequencing

Families of children with rare and undiagnosed conditions face many psychosocial and logistical challenges that may affect their approach to decisions about their child's care and their family's well-being. As genomic sequencing (GS) is increasingly incorporated into pediatric diagnostic workups, assessing the family-level characteristics that shape the experience of pediatric GS is crucial to understanding how families approach decision-making about the test and how they incorporate the results into their family life. We conducted semi-structured interviews with parents and other primary caregivers of pediatric patients who were evaluated for a suspected genetic condition and who were recommended to have GS (n = 20) or who had recently completed GS (n = 21). We analyzed qualitative data using multiple rounds of thematic analysis. We organized our thematic findings into three domains of factors that influence the family-level experience of GS: (1) family structure and dynamics; (2) parental identity, relationships, and philosophies; and (3) social and cultural differences. Participants conceptualized their child's family in various ways, ranging from nuclear biological family to support networks made up of friends and communities. Our findings can inform the design and interpretation of preference research to advance family-level value assessment of GS as well as genetic counseling for families.

A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors

HIGHLIGHTS

This article compares the relative preferences from stated preference (SP) questions requiring ordered categorical versus discrete choice responses. The approaches were contrasted for blood donation service characteristics that offer opportunities to donate blood.The estimates of relative preferences for alternative blood donation service characteristics were similar between the 2 forms of SP approach.This study illustrates how SP survey questions can be formulated to provide responses on an ordered categorical scale and to estimate marginal rates of substitution between different attributes, which can be compared with those derived from discrete choice experiment (DCE) choices.The article highlights the potential value of considering alternative choice framings rather than relying solely on DCEs.

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.

The heterogeneity of public preferences for the first healthcare visit: A discrete choice experiment in the context of Vietnam

Primary healthcare is critical in addressing the main health problems of communities. In Vietnam, the increasing healthcare demands cause major challenges, especially overcrowding. This study identified public preferences regarding the selection of healthcare facilities for first visit. A discrete choice online survey was generated from five attributes including visit duration, travel time, personal connection with medical staff, doctors' experience, and health insurance. A D_z -efficient design constructed 36 choice sets, divided into three blocks of 12 choice sets. Each block formed one version of the questionnaire, which was randomly distributed to the participants. Heterogeneity in participant preferences was analysed by a latent class model with socio demographic characteristics and experiences of the last visit. 822 participants valued doctors' experience for both minor and severe symptoms. Preference heterogeneity for minor symptoms was quick service provision, highly experienced doctors, and payment through health insurance for the first (44.18%), second (32.17%), and third classes (23.66%), respectively. Regarding severe symptoms, they favoured all five attributes, quick health service, and reduced travel time for the first, second, and third classes, respectively (heterogeneities of 58.16%, 27.79%, and 14.05%, respectively). Predictions of choice from the worst to optimal healthcare facility scenario were 8.91%-61.91% and 10.16%-69.83% for minor and severe symptoms, respectively. Knowledge regarding public preference heterogeneity supports policymakers increase public acceptance in choosing primary healthcare facilities. Visit duration and doctors' experience should be considered a priority in decision making.

Policies for life sciences and healthcare in the global health framework

BACKGROUND

At a time when welfare contracts are in crisis, it is timely to discuss different forms of disruptive innovation and responses of medical finance and economic systems, especially adjusting with new instruments for recovery and innovative solutions for health reforms.

OBJECTIVE

The objective of this paper is to propose some ways to develop a framework for policy changes affecting life science sectors and healthcare. It aims to analyze the types of relationships between health or medical systems and the economic systems.

METHOD

Medical systems used to be generally closed systems, but the new forms of delivery, especially with increase of telehealth and Mobile health (Mhealth) solutions (boosted by the COVID-19 pandemic, such as online consultations), have open traditional boundaries and generate more interactions with economic systems. It also led to new institutional arrangements at federal, national, or local levels, with different power games according to the history of institutions and cultural differences between countries.

RESULTS

Which system dynamics prevail will also depend on the political systems in place, for instance very innovative open innovation systems dominated by private players such as the USA empower individuals and favor intuitive and entrepreneurial states. On the other hand, systems historically dominated by socialized insurance or former communist countries, have investigated "attunements" or adaptation mechanisms in system intelligence. However, systemic changes are not only implemented by traditional rulers (government agencies, federal reserve banks) but also face the emergence of systemic platforms dominated by Big Tech players. The new agendas expressed for instance in the United Nation (UN) framework and the set of Sustainable Development Goals (SDGs) for climate change and sustainable growth, also require global adjustment of supply and demand, in a context where the traditional drug/vaccine split is challenged by the new technologies (e.g., mRNA technologies). Investment for drug research led to the development of COVID-19 vaccines, but also potential cancer vaccines. Finally, welfare economics is increasingly criticized among economist circles; it requires new design for global value assessment framework, facing growing inequalities and inter-generational challenges in aging populations.

CONCLUSION

This paper contributes to new models of developments and different frameworks for multiple stakeholders with major technological changes.

EQ-5D-Y Value Set for Germany

BACKGROUND

Demand is increasing for youth-specific preference-based health-related quality-of-life measures for inclusion in evaluations of healthcare interventions for children and adolescents. The EQ-5D-Youth (EQ-5D-Y) has the potential to become such a preference-based measure.

OBJECTIVE

This study applied the recently published EQ-5D-Y valuation protocol to develop a German EQ-5D-Y value set and explored the differences between values given to youth health by parents and non-parents.

METHODS

To elicit EQ-5D-Y health state preferences, a representative sample of 1030 adults of the general population completed a discrete choice experiment (DCE) online survey, and 215 adults participated in face-to-face interviews applying composite time trade-off (cTTO). Respondents were asked to consider a 10-year-old child living in the health states. DCE data were modelled using a mixed logit model. To derive the value set, DCE latent scale values were anchored onto adjusted mean cTTO values using a linear mapping approach.

RESULTS

Adult respondents considered pain/discomfort and feeling worried/sad/unhappy as the two most important dimensions in terms of youth health. Adjusted mean cTTO values ranged from - 0.350 for health state 33333 to 0.970 for health state 21111. The EQ-5D-Y value set showed a logical order for all parameter estimates, and predicted values ranged from - 0.283 to 1. Differences in preferences by parental status were mainly observed for cTTO results, where mean values were larger for parents than for non-parents.

CONCLUSIONS

Applying the valuation protocol, a German EQ-5D-Y value set with internally consistent coefficients was developed. This enables the instrument to be used in economic evaluations of paediatric healthcare interventions.

Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A Systematic Review

BACKGROUND

Accounting for preference heterogeneity is a growing analytical practice in health-related discrete choice experiments (DCEs). As heterogeneity may be examined from different stakeholder perspectives with different methods, identifying the breadth of these methodological approaches and understanding the differences are major steps to provide guidance on good research practices.

OBJECTIVES

Our objective was to systematically summarize current practices that account for preference heterogeneity based on the published DCEs related to healthcare.

METHODS

This systematic review is part of the project led by the Professional Society for Health Economics and Outcomes Research (ISPOR) health preference research special interest group. The systematic review conducted systematic searches on the PubMed, OVID, and Web of Science databases, as well as on two recently published reviews, to identify articles. The review included health-related DCE articles published between 1 January 2000 and 30 March 2020. All the included articles also presented evidence on preference heterogeneity analysis based on either explained or unexplained factors or both.

RESULTS

Overall, 342 of the 2202 (16%) articles met the inclusion/exclusion criteria for extraction. The trend showed that analyses of preference heterogeneity increased substantially after 2010 and that such analyses mainly examined heterogeneity due to observable or unobservable factors in individual characteristics. Heterogeneity through observable differences (i.e., explained heterogeneity) is identified among 131 (40%) of the 342 articles and included one or more interactions between an attribute variable and an observable characteristic of the respondent. To capture unobserved heterogeneity (i.e., unexplained heterogeneity), the studies largely estimated either a mixed logit (n = 205, 60%) or a latent-class logit (n = 112, 32.7%) model. Few studies (n = 38, 11%) explored scale heterogeneity or heteroskedasticity.

CONCLUSIONS

Providing preference heterogeneity evidence in health-related DCEs has been found as an increasingly used practice among researchers. In recent studies, controlling for unexplained preference heterogeneity has been seen as a common practice rather than explained ones (e.g., interactions), yet a lack of providing methodological details has been observed in many studies that might impact the quality of analysis. As heterogeneity can be assessed from different stakeholder perspectives with different methods, researchers should become more technically pronounced to increase confidence in the results and improve the ability of decision makers to act on the preference evidence.

Exploring the importance of controlling heteroskedasticity and heterogeneity in health valuation: a case study on Dutch EQ-5D-5L

Background

Respondents in a health valuation study may have different sources of error (i.e., heteroskedasticity), tastes (differences in the relative effects of each attribute level), and scales (differences in the absolute effects of all attributes). Although prior studies have compared values by preference-elicitation tasks (e.g., paired comparison [PC] and best–worst scaling case 2 [BWS]), no study has yet controlled for heteroskedasticity and heterogeneity (taste and scale) simultaneously in health valuation.

Methods

Preferences on EQ-5D-5L profiles were elicited from a random sample of 380 adults from the general population of the Netherlands, using 24 PC and 25 BWS case 2 tasks. To control for heteroskedasticity and heterogeneity (taste and scale) simultaneously, we estimated Dutch EQ-5D-5L values using conditional, heteroskedastic, and scale-adjusted latent class (SALC) logit models by maximum likelihood.

Results

After controlling for heteroskedasticity, the PC and BWS values were highly correlated (Pearson's correlation: 0.9167, CI: 0.9109–0.9222) and largely agreed (Lin's concordance: 0.7658, CI: 0.7542–0.7769) on a pits scale. In terms of preference heterogeneity, some respondents (mostly young men) failed to account for any of the EQ-5D-5L attributes (i.e., garbage class), and others had a lower scale (59%; p-value: 0.123). Overall, the SALC model produced a consistent Dutch EQ-5D-5L value set on a pits scale, like the original study (Pearson's correlation:0.7295; Lin's concordance: 0.6904).

Conclusions

This paper shows the merits of simultaneously controlling for heteroskedasticity and heterogeneity in health valuation. In this case, the SALC model dispensed with a garbage class automatically and adjusted the scale for those who failed the PC dominant task. Future analysis may include more behavioral variables to better control heteroskedasticity and heterogeneity in health valuation.

Highlights

The Dutch EQ-5D-5L values based on paired comparison [PC] and best-worst scaling [BWS] responses were highly correlated and largely agreed after controlling for heteroskedasticity.

Controlling for taste and scale heterogeneity simultaneously enhanced the Dutch EQ-5D-5Lvalues by automatically dispensing with a garbage class and adjusting the scale for those who failed the dominant task.

After controlling for heteroskedasticity and heterogeneity, this study produced Dutch EQ-5D-5L values on a pits scale moderately concordant with the original values.