The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review

INTRODUCTION

Stakeholder preference evaluations are increasingly emphasized in healthcare policy and health technology assessment. Discrete choice experiments (DCEs) are the most common method for quantifying preferences among patients, the public, and healthcare professionals. While prior reviews (1990-2017) have examined DCE trends, no comprehensive synthesis exists for studies published since 2018. This updated review (2018-2023) provides critical insights into evolving methodologies and global trends in health-related DCEs.

METHODS

A systematic search (2018-2023) of Medline, Embase, and Web of Science identified relevant studies. Studies were screened for inclusion and data were extracted, including details on DCE design and analysis. To enable trend comparisons, the search strategy and extraction items aligned with previous reviews.

RESULTS

Of 2663 identified papers, 1279 met the inclusion criteria, reflecting a significant rise in published DCEs over time. DCEs were conducted globally, with a remarkable increase in publications from Asia and Africa compared with previous reviews. Experimental designs and econometric models have advanced, continuing prior trends. Notably, most recent DCEs were administered online.

DISCUSSION

The rapid growth of DCE applications underscores their importance in health research. While the methodology is advancing rapidly, it is crucial that researchers provide full transparency in reporting their methods, particularly in detailing experimental designs and validity tests, which are too often overlooked. Key recommendations include improving reporting of experimental designs, applying validity tests, following good practices for presenting benefit-risk attributes, and adopting open science practices. Ensuring methodological rigor will maximize the impact and reproducibility of DCE research in health economics.

Assessing Women's Preference and Willingness to Pay for Breast Cancer Screening: A Discrete Choice Experiment Approach

OBJECTIVES

This study aimed to explore women's preferences regarding breast cancer screening using a discrete choice experiment and willingness-to-pay analysis.

METHODS

A discrete-choice experiment was conducted among 255 women aged 40 to 65 years who were referred to health centers in Tehran city. The experiment included attributes such as screening methods (clinical examination and mammography), number of deaths prevented, possibility of misdiagnosis and unnecessary biopsy, screening intervals, and cost of the screening test. A conditional logit model was used to estimate preferences, and willingness-to-pay values were derived from the model coefficients.

RESULTS

Women revealed a strong preference for mammography over clinical examination(odds ratio [OR] 1.73; 95% CI 1.47-2.04; P < .001). Compared with 1 death prevented per 1000 women, the ORs for 3 and 6 deaths prevented per 1000 women were 18.1 (95% CI 12.72-25.75; P < .001) and 74.48 (95% CI 49.41-112.27; P < .001), respectively. The ORs for misdiagnosis and unnecessary biopsy rates of 10 of 100 people were 0.006 (95% CI 0.003-0.012; P < .001). Preferences for screening intervals varied, with a higher preference for screening every 4 years (OR 2.77; 95% CI 1.73-4.43; P < .001) compared with annual screening. The cost was also a significant factor, with a decrease in the odds of choosing a screening option as the cost increased (OR 0.139; 95% CI 0.1396-0.1399; P = .001).

CONCLUSIONS

This study provides valuable insights into women's preferences for breast cancer screening in Iran.

A discrete choice experiment: Understanding patient preferences for managing chronic non-cancer pain

BACKGROUND

The management of chronic non-cancer pain (CNCP) is complex. Concerns about adverse effects associated with opioid pain medications and a lack of funding for holistic programs present challenges for decision-making among clinicians and patients. Discrete choice experiments (DCE) are one way of assessing and valuing patient treatment preferences.

METHOD

DCE attributes and levels were generated through qualitative research and included number of medicines, side effects from medicines, pain interference, care management, risk of addiction, activity goals, preferred source of information on pain management and willingness to pay. The survey was administered to participants with CNCP recruited through an existing cohort study (n = 442) and a sample of people living with CNCP recruited through Australia's leading pain advocacy body (Painaustralia) (n = 256).

RESULTS

The median age of participants was 58 years (SD 12.0), the majority were female. The analysis revealed two latent demographic classes: a younger group with higher levels of private health insurance and an older group with lower levels of private health insurance coverage. There were notable differences in preference. The younger cohort exhibited a greater willingness-to-pay to reduce pain interference, whereas the older group prioritized GP management, preferred more medicines and expressed fewer addiction concerns.

CONCLUSION

Patients' treatment preferences diverged based on age and insurance status, underscoring the importance of understanding patient perspectives in treatment communication and care coordination. These findings provide insight into patient decision-making, which is important for promoting access to quality healthcare and engagement with evidence-based treatment of CNCP.

SIGNIFICANCE STATEMENT

A discrete choice experiment identified two groups: younger, with more private insurance, and older, with less private health insurance, each with unique pain management preferences. Clinicians should be aware that age and private health insurance may have an impact on a patient's preferences for CNCP management.

Preferences of patients with multiple chronic diseases for medication in rural areas of an Eastern Province China: a discrete choice experiment

Background

Multiple Chronic Diseases (MCD) are the co-occurrence of two or more chronic conditions within an individual. Compared to patients with a single chronic disease, those with MCD face challenges related to polypharmacy, which increases the risk of adverse drug events, side effects, and drug-drug interactions. Understanding the specific medication preferences of patients with MCD is crucial to optimize treatment plans and enhance treatment safety.

Objective

This study aims to evaluate the medication preferences among patients with multiple chronic diseases in rural areas of an eastern province of China.

Methods

A discrete choice experiment (DCE) was used to measure patients' medication preferences. According to literature research, expert panel discussions, and in-depth patient interviews, we identified six attributes: monthly out-of-pocket cost, onset speed of action, adverse effects, whether it is covered by health insurance, origin of medications, and types of medications. The conditional logit models (CLM) and mixed logit models (MIXL) were used to evaluate the choice data. Willingness to pay (WTP) was used to reflect the monetary value that patients were willing to pay or receive reimbursement after changes in different attribute levels.

Results

A total of 956 respondents were included in the analysis. Of which, 68.62% were female, with an average age of 68 years, and 65.89% had a Body Mass Index (BMI) greater than or equal to 24. Statistical significance was observed for all attributes (p < 0.001). The preferred medication for patients encompassed low monthly out-of-pocket costs, rapid onset of action, rare adverse effects, and a preference for Western medicine, health insurance-covered medication and domestic medication. The onset speed of action was a primary consideration for patients, who demonstrated a willingness to pay an additional CNY151.37 per month for a medication with a rapid onset of action.

Conclusion

Rural patients with multiple chronic diseases preferred medications with rapid onset, rare adverse, Western medications, domestic medication, and health insurance-covered medication. Medical staff can effectively combine the Health Belief Model (HBM) to help patients with multiple chronic diseases improve their confidence and understanding of medication selection, to improve their health management.

The desire for side-effect information in pain treatment: an experimental analysis of contextual and individual difference factors

ABSTRACT

Informing patients about potential side effects of pain treatment is a requirement that protects patients and aids decision making, but it increases the likelihood of unwanted nocebo side effects. If patients do not desire all side-effect information, it may be possible to ethically reduce nocebo effects through authorized concealment of side effects, whereby patients and clinicians engage in shared decision-making to regulate the disclosure of side-effect information. Currently, there is no experimental data clarifying the factors that causally influence desire for side-effect information in pain treatment. In 2 cross-sectional, between-subjects scenario experiments (experiment 1 N = 498, experiment 2 N = 501), 18 to 79-year-old community adults learned about a lower back pain treatment, and potential side-effect severity, frequency, and duration were manipulated. Individual differences in information avoidance were also recorded. In both experiments, participants reported high desire for side-effect information, but the desire was reduced when side effects were described as less severe, less frequent, and participants scored high in information avoidance. Results were not moderated by participants' level of contact with the health care system, chronic health condition, or clinical pain history. Additional analyses indicated that low side-effect severity and frequency lessen desire for side-effect information because these variables reduce belief that side-effect information will be needed in the future and lower feelings of anticipated regret. The experiments identify situational and individual-difference factors that decrease the desire for side-effect information and provide evidence on when and for whom it may be useful for physicians to engage in shared medical decision-making with the goal of reducing nocebo side effects.

Adaptation of the WOMAC for Use in a Patient Preference Study

OBJECTIVES

To adapt a patient-reported outcome (PRO) measure, the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC), into efficacy attributes for a discrete choice experiment (DCE) survey designed to quantify the relative importance of endpoints commonly used in knee osteoarthritis (KOA) trials.

METHODS

The adaptation comprised four steps: (1) selecting domains of interest; (2) determining presentation and framing of selected attributes; (3) determining attribute levels; and (4) developing choice tasks. This process involved input from multiple stakeholders, including regulators, health preference researchers, and patients. Pretesting was conducted to evaluate if patients comprehended the adapted survey attributes and could make trade-offs among them.

RESULTS

The WOMAC pain and function domains were selected for adaption to two efficacy attributes. Two versions of the discrete choice experiment (DCE) instrument were created to compare efficacy using (1) total domain scores and (2) item scores for "walking on a flat surface." Both attributes were presented as improvement from baseline scores by levels of 0%, 30%, 50%, and 100%. Twenty-six participants were interviewed in a pretest of the instrument (average age 60 years; 58% female; 62% had KOA for ≥ 5 years). The participants found both versions of attributes meaningful and relevant for treatment decision-making. They demonstrated willingness and ability to tradeoff improvements in pain and function separately, though many perceived them as inter-related.

CONCLUSIONS

This study adds to the growing literature regarding adapting PRO measures for patient preference studies. Such adaptation is important for designing a preference study that can incorporate a clinical trial's outcomes with PRO endpoints.

Patient preferences in the treatment of chronic musculoskeletal pain: a systematic review of discrete choice experiments

ABSTRACT

Chronic musculoskeletal pain (CMP) is a preference-sensitive condition for which numerous treatment options are available, each with benefits and risks. Thus, patient preferences play a critical role in decision making. This study summarized evidence from discrete choice experiments (DCEs) to quantify patient preferences for CMP treatment and identified important treatment attributes. A systematic review of DCEs on patient preferences for CMP treatment was conducted. Studies were included if they used DCE to determine patient preferences for CMP. A previously described methodological assessment tool was used to assess the risk of bias. The treatment attributes were summarized and sorted according to the frequency of citation and relative weight. Subgroup analyses were conducted to explore the intervention-specific attributes. A total of 15 eligible studies with 4065 participants were included. We identified "capacity to realize daily life activities," "risk of adverse events," "effectiveness in pain reduction," and "out-of-pocket cost" as important attributes. Although "treatment frequency" and "onset of treatment efficacy" were less frequently mentioned, they were also important attributes. The attribute of "risk of adverse events" was especially important for drug treatment. The "out-of-pocket cost" and "treatment location and mode" were important attributes of exercise therapy. The attributes identified in this review will inform the design of future DCE studies, facilitate the translation of measurement-based care to value-based care, and provide the rationale to promote shared decision making and patient-centered care.

Patient Preferences in the Management of Hidradenitis Suppurativa: Results of a Multinational Discrete Choice Experiment in Europe

BACKGROUND AND OBJECTIVE

Hidradenitis suppurativa is a chronic inflammatory skin disease that can lead to a substantial reduction in quality of life. Recent studies revealed high levels of unmet care needs of patients with hidradenitis suppurativa, but their preferences in treatment decision making have scarcely been investigated. This study aimed to reveal which treatment attributes adult patients with HS in Europe consider most important in treatment decision-making.

METHODS

A discrete choice experiment was conducted with adult patients with hidradenitis suppurativa in Europe to reveal which treatment attributes are most important when making treatment decisions. Participants were presented with 15 sets of two treatment options and asked for each to choose the treatment they preferred. The treatments were characterized by six attributes informed by a prior literature review and qualitative research: effectiveness, pain reduction, duration of treatment benefit, risk of mild adverse event, risk of serious infection, and mode of administration. A random parameter logit model was used to estimate patients' preferences with additional subgroup and latent class models used to explore any differences in preferences across patient groups.

RESULTS

Two hundred and nineteen adult patients with hidradenitis suppurativa were included in the analysis (90% women, mean age 38 years). For all six treatment attributes, significant differences were observed between levels. Given the range of levels of each attribute, the most important treatment attributes were effectiveness (47.9%), followed by pain reduction (17.3%), annual risk of a mild adverse event (14.4%), annual risk of a serious infection (10.3%), mode of administration (5.3%), and duration of treatment benefit (4.8%). Higher levels of effectiveness, namely a 75% or 100% reduction in the abscess and inflammatory nodule count, were preferred over levels of effectiveness primarily investigated in randomized clinical trials of hidradenitis suppurativa (a 50% reduction). Results were largely consistent across subgroups and three latent class groups were identified.

CONCLUSIONS

This study revealed the most important treatment characteristics for patients with hidradenitis suppurativa that can help inform joint patient-physician decision making in the management of hidradenitis suppurativa. Designing future hidradenitis suppurativa treatments according to stated preferences, namely, to offer higher levels of effectiveness and pain improvement without higher risks of adverse events, may increase patients' treatment concordance and lead to improved disease management outcomes.

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.

Patient and Surgeon Risk-Taking Regarding Total Joint Arthroplasty

BACKGROUND

Decisions regarding care for osteoarthritis involve physicians helping patients understand likely benefits and harms of treatment. Little work has directly compared patient and surgeon risk-taking attitudes, which may help inform strategies for shared decision-making and improve patient satisfaction.

METHODS

We surveyed patients contemplating total joint arthroplasty visiting a high-volume specialty hospital regarding general questions about risk-taking, as well as willingness to undergo surgery under hypothetical likelihoods of moderate improvement and complications. We compared responses from surgeons answering similar questions about willingness to recommend surgery.

RESULTS

Altogether 82% (162/197) of patients responded, as did 65% (30/46) of joint replacement surgeons. Mean age among patients was 66.4 years; 58% were female. Surgeons averaged 399 surgeries in 2019. Responses were similar between groups for general, health, career, financial, and sports/leisure risk-taking (P > .20); surgeons were marginally more risk-taking in driving (P = .05). For willingness to have or recommend surgery, as the chance of benefit decreased, or the chance of harm increased, the percentage willing to have or recommend surgery decreased. Between a 70% and 95% chance of moderate improvement (for a 2% complication risk), as well as between a 90% and 95% chance of moderate improvement (for 4% and 6% complication risks), the percentage willing to have or recommend surgery was indistinguishable between patients and surgeons. However, for lower likelihoods of improvement, a higher percentage of patients were willing to undergo surgery than surgeons recommended. Patients were also more often indifferent between complication risks.

CONCLUSION

Although patients and surgeons were often willing to have or recommend joint replacement surgery at similar rates, they diverged for lower-benefit higher-harm scenarios.

Personalized diabetes management: what do patients with diabetes mellitus prefer? A discrete choice experiment

BACKGROUND

There are unresolved procedural and medical problems in the care of diabetes, which cause high costs for health systems. These include the inadequate glycemic adjustment, care gaps, therapeutic inertia, and a lack of motivation. Personalized diabetes management can be seen as a kind of "standard process" that provides both physicians and patients with a framework. The aim of this empirical survey is the evaluation of patient preferences regarding personalized diabetes management. The purpose of this experiment is to demonstrate the properties of the programs that are relevant for the choice of insulin-based therapy regimens for patients with type II diabetes mellitus.

METHODS

A discrete choice experiment (DCE) was applied to identify preferences for a personalized diabetes management in patients with type II diabetes mellitus. Six attributes were included. The DCE was conducted in June 2017 using a fractional factorial design, and the statistical data analysis used random effect logit models.

RESULTS

N = 227 patients (66.1% male) were included. The preference analysis showed dominance for the attribute "occurrence of severe hypoglycemias per year" [level difference (LD) 2765]. Preference analysis also showed that participants weight the "risk of myocardial infarction (over 10 years)" (LD 1.854) highest among the side effects. Within the effectiveness criterion of "change in the long-term blood glucose level (HbA1c)" a change at an initial value of 9.5% (LD 1.146) is weighted slightly higher than changes at 7.5% (LD 1.141). Within the random parameter logit estimation, all coefficients proved to be significantly different from zero at the level p ≤ 0.01. The latent class analysis shows three heterogeneous classes, each showing clearly different weights of the therapeutic properties. This results in a clear three-folding: for 1/3 of the respondents the change of the long-term blood sugar (HbA1c value) is the top objective. Another third is solely interested in the short-term effectiveness of the therapy in the sense of the occurrence of severe hypoglycemias per year. The last third of the interviewees finally focuses on the follow-up regarding cardiovascular events. Overall, there were five structural and personality traits which have an influence on the respective probability of the class membership.

DISCUSSION/CONCLUSION

This study identifies and weights the key decision-making criteria for optimal management of diabetes from the perspective of patients. It was shown that the effectiveness of a care program is the most important from the perspective of the patient and avoiding severe a hypoglycemia has the greatest influence on the choice. The risk of myocardial infarction as a follow-up disease and the long-term adjustment of the blood glucose follow the importance. In the analysis of possible subgroup differences by means of latent class analysis, it was found that three preference patterns exist within the sample. The generated preference data can be used for the design of personalized management approaches. It remains open to the extent to which expert opinions and patient preferences diverge.

Osteoarthritis year in review 2020: epidemiology & therapy

This personal choice of research themes and highlights from within the past year (1 May 2019 to 14 April 2020) spans descriptive, analytical-observational, and intervention studies. Descriptive estimates of the burden of osteoarthritis continue to underscore its position as a leading cause of disability worldwide, but whose burden is often felt greatest among disadvantaged and marginalised communities. Many of the major drivers of that burden are known but epidemiological studies continue the important work of elaborating on their timing, dose, specificity, and reversibility and placing them within an appropriate multi-level framework. A similar process of elaboration is seen also in studies (re-)estimating the relative benefits and risks of existing interventions, in some cases helping to identify low-value care, unwarranted variation, and initiating processes of deprescribing and decommissioning. Such research need not engender therapeutic nihilism. Our review closes by highlighting some emerging evidence on the efficacy and safety of novel therapeutic interventions and with a selective roll-call of methodological and meta-research in OA illustrating the continued commitment to improving research quality.