Discrete choice experiments in health economics: a review of the literature

Patient Preferences for Operative Versus Nonoperative Treatment of LC1 Pelvis Fracture: A Discrete Choice Experiment

OBJECTIVES

To quantify how patients with lateral compression type 1 (LC1) pelvis fracture value attributes of operative versus nonoperative treatment.

METHODS

DESIGN

Discrete choice experiment.

SETTING

Three US Level 1 trauma centers.

PATIENT SELECTION CRITERIA

Adult survivors of an LC1 pelvis treated between June 2016 and March 2023 were identified from institutional registries. The choice experiment was administered as a survey from March through August 2023.

OUTCOME MEASURES AND COMPARISONS

Participants chose between 12 hypothetical comparisons of treatment attributes including operative or nonoperative care, risk of death, severity of pain, risk of secondary surgery, shorter hospital stay, discharge destination, and independence in ambulation within 1 month of injury. The marginal utility of each treatment attribute, for example, the strength of participants' aggregate preference for an attribute as indicated by their survey choices, was estimated by multinomial logit modeling with and without stratification by treatment received.

RESULTS

Four hundred forty-nine eligible patients were identified. The survey was distributed to 182 patients and collected from 72 patients (39%) at a median 2.3 years after injury. Respondents were 66% female with a median age of 59 years (IQR, 34-69 years). Before injury, 94% ambulated independently and 75% were working; 41% received operative treatment. Independence with ambulation provided the highest relative marginal utility (21%, P < 0.001), followed by discharge to home versus skilled nursing (20%, P < 0.001), moderate versus severe postdischarge pain (17%, P < 0.001), shorter hospital stay (16%, P < 0.001), secondary surgery (15%, P < 0.001), and mortality (10%, P = 0.02). Overall, no relative utility for operative versus nonoperative treatment was observed (2%, P = 0.54). However, respondents strongly preferred the treatment they received: operative patients valued operative treatment (utility, 0.37 vs. -0.37, P < 0.001); nonoperative patients valued nonoperative treatment (utility, 0.19 vs. -0.19, P < 0.001).

CONCLUSIONS

LC1 pelvis fracture patients valued independence with ambulation, shorter hospital stay, and avoiding secondary surgery and mortality in the month after their injury. Patients preferred the treatment they received rather than operative versus nonoperative care.

The Global Impact of Diversifying PrEP Options: Results of an International Discrete Choice Experiment of Existing and Potential PrEP Strategies with Gay and Bisexual Men and Physicians

To improve current and future use of existing (oral, injectable) and potential future (implants, douches) pre-exposure prophylaxis (PrEP) products, we must understand product preferences relative to one another, among gay and bisexual men (GBM), and physicians who prescribe PrEP. We completed an online discrete choice experiment (DCE) with separate groups of GBM and/or physicians from the United States, South Africa, Spain, and Thailand. Participants were presented information on PrEP products, including daily pills, event-driven pills (2-1-1 regimen), injections, subdermal implants (dissolvable, removable), and rectal douches. Next, they completed a choice exercise in which they were shown 10 screens, each presenting 3 of the aforementioned products at a time with 11 attributes for physicians and 10 attributes for GBM. For the attributes that were not constant, one level was shown per screen for each product. Participants selected the product they preferred most and rated their likelihood to select (GBM) or recommend (physicians) that product. Data were modeled using hierarchical Bayes estimation; resulting model coefficients were used to develop attribute importance measures and product preferences. For GBM across all countries, if all aforementioned PrEP products were on the market at the same time, over 90% of GBM would use some form of PrEP; 100% of physicians would recommend at least one of the PrEP products. There were variations in product preference by country. GBM in the United States and Thailand preferred the injection (21.7%, 22.9%, respectively), while the dissolvable implant was preferred in South Africa and Spain (19.9%, 19.8%, respectively). In the United States, South Africa, and Spain (where physician data were available), physicians were most likely to recommend the dissolvable implant (37.2%, 40.6%, 38.3%, respectively).

Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada

BACKGROUND

Prior research has showed the importance of providing integrated support services to prevent and reduce youth not in education, employment, or training (NEET) related challenges. There is limited evidence on NEET youth's perspectives and preferences for employment, education, and training services. The objective of this study was to identify employment, education and training service preferences of NEET youth. We acknowledge the deficit-based lens associated with the term NEET and use 'upcoming youth' to refer to this population group.

METHODS

Canadian youth (14-29 years) who reported Upcoming status or at-risk of Upcoming status were recruited to the study. We used a discrete choice experiment (DCE) survey, which included ten attributes with three levels each indicating service characteristics. Sawtooth software was used to design and administer the DCE. Participants also provided demographic information and completed the Global Appraisal of Individual Needs-Short Screener. We analyzed the data using hierarchical Bayesian methods to determine service attribute importance and latent class analyses to identify groups of participants with similar service preferences.

RESULTS

A total of n=503 youth participated in the study. 51% of participants were 24-29 years of age; 18.7% identified as having Upcoming status; 41.1% were from rural areas; and 36.0% of youth stated that they met basic needs with a little left. Participants strongly preferred services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Three latent classes were identified and included: (i) job and educational services (38.9%), or services that include career counseling and securing a work or educational placement; (ii) mental health and wellness services (34.9%), or services that offer support for mental health and wellness in the workplace and free mental health and substance use services; and (iii) holistic skills building services (26.1%), or services that endorsed skills for school and job success, and life skills.

CONCLUSIONS

This study identified employment, education, and training service preferences among Upcoming youth. The findings indicate a need to create a service model that supports holistic skills building, mental health and wellness, and long-term school and job opportunities.

The substitution effect of financial and non-financial incentives at different income levels in physician recruitment: evidence from medical students in China

BACKGROUND

Understanding how medical students respond to financial and non-financial incentives is crucial for recruiting health workers and attracting health talents in medical education. However, both incentives are integrated in working practice, and existing theoretical studies have suggested that various income levels may influence the substitution effect of both incentives, while the empirical evidence is lacking. Furthermore, little attention has been paid to the intrinsic motivation. This study aimed to explore the substitution effect of extrinsic incentives at different income levels, also taking intrinsic altruism into account.

METHODS

We used the behavioral data from Zhang et al.'s experiments, which involved discrete choice experiments (DCEs) to assess the job preferences of medical students from six teaching hospitals in Beijing, China. The incentive factors included monthly income, work location, work environment, training and career development opportunities, work load, and professional recognition. Additionally, a lab-like experiment in the medical decision-making context was conducted to quantify altruism based on utility function. Furthermore, we separated the choice sets based on the actual income and distinguished the medical students on altruism. The willingness to pay (WTP) was used to estimate the substitution effect of incentives through conditional logit model.

RESULTS

There was a significant substitution effect between non-financial and financial incentives. As income increased, non-financial incentives such as an excellent work environment, and sufficient career development became relatively more important. The impact of the increase in income on the substitution effect was more pronounced among individuals with higher altruism. Concerning the non-financial incentive work environment, in contrast to the growth of 546 CNY (84 USD) observed in the low-altruism group, the high-altruism group experienced a growth of 1040 CNY (160 USD) in the substitution effect.

CONCLUSIONS

The increase in the income level exerted an influence on the substitution effect of non-financial incentives and financial incentives, especially in high-altruism medical students. Policymakers should attach importance to a favorable environment and promising career prospects on the basis of ensuring a higher income level. Medical school administrations should focus on promoting altruistic values in medical education, enhancing talent incentives and teaching strategies to encourage medical students to devote themselves to the medical professions.

General practitioner preferences for telehealth consultations in Australia: a pilot survey and discrete choice experiment

AIM

To identify and quantify general practitioner (GP) preferences related to service attributes of clinical consultations, including telehealth consultations, in Australia.

BACKGROUND

GPs have been increasingly using telehealth to deliver patient care since the onset of the 2019 coronavirus disease (COVID-19) pandemic. GP preferences for telehealth service models will play an important role in the uptake and sustainability of telehealth services post-pandemic.

METHODS

An online survey was used to ask GPs general telehealth questions and have them complete a discrete choice experiment (DCE). The DCE elicited GP preferences for various service attributes of telehealth (telephone and videoconference) consultations. The DCE investigated five service attributes, including consultation mode, consultation purpose, consultation length, quality of care and rapport, and patient co-payment. Participants were presented with eight choice sets, each containing three options to choose from. Descriptive statistics was used, and mixed logit models were used to estimate and analyse the DCE data.

FINDINGS

A total of 60 GPs fully completed the survey. Previous telehealth experiences impacted direct preferences towards telehealth consultations across clinical presentations, although in-person modes were generally favoured (in approximately 70% of all scenarios). The DCE results lacked statistical significance which demonstrated undiscernible differences between GP preferences for some service attributes. However, it was found that GPs prefer to provide a consultation with good quality care and rapport (P < 002). GPs would also prefer to provide care to their patients rather than decline a consultation due to consultation mode, length or purpose (P < 0.0001). Based on the findings, GPs value the ability to provide high-quality care and develop rapport during a clinical consultation. This highlights the importance of recognising value-based care for future policy reforms, to ensure continued adoption and sustainability of GP telehealth services in Australia.

Patients, healthcare providers, and general population preferences for hemodialysis vascular access: a discrete choice experiment

Background

A patient-centered dialysis treatment option requires an understanding of patient preferences for alternative vascular accesses and nephrologists often face difficulties when recommending vascular access to end-stage kidney disease (ESKD) patients. We aimed to quantify the relative importance of various vascular access characteristics to patients, healthcare providers and general population, and how they affect acceptability for patients and healthcare providers.

Methods

In a discrete choice experiment, patients with maintenance hemodialysis (MHD), healthcare providers, and individuals from the general population were invited to respond to a series of hypothetical vascular access scenarios that differed in five attributes: cumulative patency, infection rate, thrombosis rate, cost, and time to maturation. We estimated the respondents' preference heterogeneity and relative importance of the attributes with a mixed logit model (MXL) and predicted the willingness to pay (WTP) of respondents via a multinomial logit model (MNL).

Results

Healthcare providers (n = 316) and the general population (n = 268) exhibited a favorable inclination toward longer cumulative patency, lower access infection rate and lower access thrombosis rate. In contrast, the patients (n = 253) showed a preference for a 3-year cumulative patency, 8% access infection rate, 35% access thrombosis rate and 1.5 access maturity time, with only the 3-year cumulative patency reaching statistical significance. Among the three respondent groups, the general population found cumulative patency less important than healthcare providers and patients did. Patients demonstrated the highest WTP for cumulative patency, indicating a willingness to pay an extra RMB$24,720(US$3,708) for each additional year of patency time.

Conclusion

Patients and healthcare providers had a strong preference for vascular access with superior patency. While the general population preferred vascular access with lower thrombosis rates. These results indicate that most patients prefer autogenous arteriovenous fistula (AVF) as an appropriate choice for vascular access due to its superior patency and lower complications than other vascular access types.

Comparing Preferences for Disease Profiles: A Discrete Choice Experiment from a US Societal Perspective

OBJECTIVES

There is increasing interest in expanding the elements of value to be considered when making health policy decisions. To help inform value frameworks, this study quantified preferences for disease attributes in a general public sample and examined which combination of attributes (disease profiles) are considered most important for research and treatment.

METHODS

A discrete choice experiment (DCE) was conducted in a US general population sample, recruited through online consumer panels. Respondents were asked to select one of a set of health conditions they believed to be most important, characterized by attributes defined by a previous qualitative study: onset age; cause of disease; life expectancy; caregiver requirement; symptom burden (characterized by the Health Utilities Index with varying levels of ambulation independence, dexterity limitations, and degree of pain and discomfort); and disease prevalence. A fractional factorial DCE design was implemented using R, and 60 choice sets were generated (separated into blocks of 10 per participant). Data were analyzed using a mixed-logit regression model, and results used to assess the likelihood of preferring disease profiles. Based on individual attribute preferences, overall preferences for disease profiles, including a profile aligned with Duchenne muscular dystrophy (DMD), were compared.

RESULTS

Fifty-two percent of respondents (n = 537) were female, and 70.6% were aged 18-54 years. Attributes considered most important were those related to life expectancy (odds ratio [OR], 95% confidence interval [CI] 1.88 [1.56-2.27] for a 50% reduction in remaining life expectancy vs no impact), and symptom burden (OR [95% CI] 1.84 [1.47-2.31] for severe vs mild burden). Greater importance was also found for pediatric onset, caregiver requirement, and diseases affecting more people. As an example of disease profile preferences, a DMD-like pediatric inherited disease with 50% reduction in life expectancy, extensive caregiver requirement, severe symptom burden, and 1:5000 prevalence had 2.37-fold higher odds of being selected as important versus an equivalent disease with adult onset and no life expectancy reduction.

CONCLUSIONS

Of disease attributes included in this DCE, respondents valued higher prevalence of disease, life expectancy and symptom burden as most important for prioritizing research and treatment. Based on expressed attribute preferences, a case study of an inherited pediatric disease involving substantial reductions to length and quality of life and requiring caregiver support has relatively high odds of being identified as important compared to diseases reflecting differing attribute profiles. These findings can help inform expansions of value frameworks by identifying important attributes from the societal perspective.

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.

Preferences of healthcare providers in Switzerland for attributes of pediatric hexavalent vaccines: a discrete-choice experiment

OBJECTIVE

To understand the preferences of healthcare providers (HCPs) in Switzerland for pediatric hexavalent vaccine attributes.

METHODS

A discrete-choice experiment included a series of choices between 2 hypothetical pediatric hexavalent vaccines with varying attributes: device type (including preparation time and risk of dosage errors), proportion of infants seroprotected against Haemophilus influenzae type b (Hib) at 11-12 months (pre-booster), packaging size, years on the market, and the thermostability at room temperature. Odds ratios (ORs) and conditional relative attribute importance (CRAI) were calculated using random-parameters logit.

RESULTS

HCPs (150 pediatricians and 40 nursing staff) in Switzerland were unlikely to choose a vaccine conferring 50% (OR 0.00; 95% CI 0.00-0.00) or 70% (OR 0.01; 95% CI 0.00-0.01) of infants with Hib seroprotection at 11-12 months (pre-booster) compared with a vaccine conferring 90% seroprotection. The odds of choosing a vaccine available on the market for more than 3 years were nearly 5 times the odds of choosing a vaccine available on the market for less than 1 year (OR 4.76; 95% CI 1.87-7.65). The odds of choosing a vaccine in a prefilled syringe were nearly 3 times the odds of choosing a reconstituted vaccine (OR 2.77; 95% CI 1.39-4.15), and the odds of choosing a vaccine with a smaller package size were nearly 2 times the odds of choosing a vaccine with larger package size (OR 1.89; 95% CI 1.23-2.55). HCPs were equally likely to choose vaccines that can stay at room temperature for 6 versus 3 days (OR 1.07; 95% CI 0.73-1.42). According to CRAI, the most important attribute was Hib seroprotection, followed by years on the market, device type, and packaging size.

CONCLUSION

Hib seroprotection at 11-12 months was the most important hexavalent vaccine attribute to HCPs in this study.

Preference of primary care patients for home-based healthcare and support services: a discrete choice experiment in China

Importance

This research, utilizing discrete choice experiments, examines the preferences and willingness to pay for home-based healthcare and support services among residents in China, a country grappling with severe aging population, an area often underexplored in international scholarship.

Objectives

This study aims to solicit the preferences of primary care patients for home-based healthcare and support services in China.

Design setting and participants

A discrete choice experiment (DCE) was conducted on 312 primary care patients recruited from 13 community health centers in Wuhan and Kunming between January and May 2023. The experimental choice sets were generated using NGene, covering five attributes: Scope of services, health professionals, institutions, insurance reimbursements, and visiting fees.

Main outcomes and measures

The choice sets were further divided into three blocks, and each participant was asked to complete one block containing 12 choice tasks. Mixed logit models were established to estimate the relevant importance coefficients of and willingness to pay for different choices, while Latent Class Logit (LCL) modeling was conducted to capture possible preferences heterogeneity.

Results

The relevant importance of the scope of services reached 67.33%, compared with 19.84% for service institutions and 12.42% for health professionals. Overall, respondents preferred physician-led diagnostic and treatment services. LCL categorized the respondents into three groups: Group one (60.20%) was most concerned about the scope of services, prioritizing disease diagnosis and treatment over preventive care and mental health, while group two (16.60%) was most concerned about care providers (hospitals and medical doctors were preferred), and group three (23.20%) was most concerned about financial burdens.

Conclusion

Primary care patients prefer physical health and medical interventions for home-based healthcare and support services. However, heterogeneity in preferences is evident, indicating potential disparities in healthcare and support at home services in China.

Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment

BACKGROUND

It is essential to consider the evidence of consumer preferences and their specific needs when determining which strategies to use to improve patient attendance at scheduled healthcare appointments.

OBJECTIVES

This study aimed to identify key attributes and elicit healthcare consumer preferences for a healthcare appointment reminder system.

METHODS

A discrete choice experiment was conducted in a general Australian population sample. The respondents were asked to choose between three options: their preferred reminder (A or B) or a 'neither' option. Attributes were developed through a literature review and an expert panel discussion. Reminder options were defined by four attributes: modality, timing, content and interactivity. Multinomial logit and mixed multinomial logit models were estimated to approximate individual preferences for these attributes. A scenario analysis was performed to estimate the likelihood of choosing different reminder systems.

RESULTS

Respondents (n = 361) indicated a significant preference for an appointment reminder to be delivered via a text message (β = 2.42, p < 0.001) less than 3 days before the appointment (β = 0.99, p < 0.001), with basic details including the appointment cost (β = 0.13, p < 0.10), and where there is the ability to cancel or modify the appointment (β = 1.36, p < 0.001). A scenario analysis showed that the likelihood of choosing an appointment reminder system with these characteristics would be 97%.

CONCLUSIONS

Our findings provide evidence on how healthcare consumers trade-off between different characteristics of reminder systems, which may be valuable to inform current or future systems. Future studies may focus on exploring the effectiveness of using patient-preferred reminders alongside other mitigation strategies used by providers.

Preference-Based Implementation of Video Consultations in Urban and Rural Regions in Outpatient Care in Germany: Protocol for a Mixed Methods Study

BACKGROUND

Particularly in rural regions, factors such as lower physician density and long travel distances complicate adequate outpatient care. However, urban regions can also be affected by deficits in care, for example, long waiting times. One model of care intending to improve the situation is the implementation of video consultations. The study protocol presents the methodology of the research project titled "Preference-based implementation of the video consultation in urban and rural regions" funded by the German Federal Joint Committee (funding number 01VSF20011).

OBJECTIVE

This study aims to identify existing barriers to the use of video consultation and the preferences of insured individuals and physicians as well as psychotherapists in order to optimize its design and thus increase acceptance and use of video consultations in urban and rural regions.

METHODS

Built on a mixed methods approach, this study first assesses the status quo of video consultation use through claims data analysis and carries out a systematic literature review on barriers and promoting factors for the use of video consultations. Based on this preliminary work, focus groups are conducted in order to prepare surveys with insureds as well as physicians and psychotherapists in the second study phase. The central element of the survey is the implementation of discrete choice experiments to elicit relevant preferences of (potential) user groups and service providers. The summarized findings are discussed in a stakeholder workshop and translated into health policy recommendations.

RESULTS

The methodological approach used in this study is the focus of this paper. The study is still ongoing and will continue until March 2024. The first study phase has already been completed, in which preliminary work has been done on potential applications and hurdles for the use of video consultations. Currently, the survey is being conducted and analyses are being prepared.

CONCLUSIONS

This study is intended to develop a targeted strategy for health policy makers based on actual preferences and perceived obstacles to the use of video consultations. The results of this study will contribute to further user-oriented development of the implementation of video consultations in German statutory health insurance. Furthermore, the iterative and mixed methods approach used in this study protocol is also suitable for a variety of other research projects.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/50932.

Unpacking overuse of androgen deprivation therapy for prostate cancer to inform de-implementation strategies

BACKGROUND

Many men with prostate cancer will be exposed to androgen deprivation therapy (ADT). While evidence-based ADT use is common, ADT is also used in cases with no or limited evidence resulting in more harm than benefit, i.e., overuse. Since there are risks of ADT (e.g., diabetes, osteoporosis), it is important to understand the behaviors facilitating overuse to inform de-implementation strategies. For these reasons, we conducted a theory-informed survey study, including a discrete choice experiment (DCE), to better understand ADT overuse and provider preferences for mitigating overuse.

METHODS

Our survey used the Action, Actor, Context, Target, Time (AACTT) framework, the Theoretical Domains Framework (TDF), the Capability, Opportunity, Motivation-Behavior (COM-B) Model, and a DCE to elicit provider de-implementation strategy preferences. We surveyed the Society of Government Service Urologists listserv in December 2020. We stratified respondents based on the likelihood of stopping overuse as ADT monotherapy for localized prostate cancer ("yes"/"probably yes," "probably no"/"no"), and characterized corresponding Likert scale responses to seven COM-B statements. We used multivariable regression to identify associations between stopping ADT overuse and COM-B responses.

RESULTS

Our survey was completed by 84 respondents (13% response rate), with 27% indicating "probably no"/"no" to stopping ADT overuse. We found differences across respondents who said they would and would not stop ADT overuse in demographics and COM-B statements. Our model identified 2 COM-B domains (Opportunity-Social, Motivation-Reflective) significantly associated with a lower likelihood of stopping ADT overuse. Our DCE demonstrated in-person communication, multidisciplinary review, and medical record documentation may be effective in reducing ADT overuse.

CONCLUSIONS

Our study used a behavioral theory-informed survey, including a DCE, to identify behaviors and context underpinning ADT overuse. Specifying behaviors supporting and gathering provider preferences in addressing ADT overuse requires a stepwise, stakeholder-engaged approach to support evidence-based cancer care. From this work, we are pursuing targeted improvement strategies.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03579680.

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

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

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.

Differences in Preferences for Drug Therapy Between Patients with Metastatic Versus Early-Stage Breast Cancer: A Systematic Literature Review

INTRODUCTION

Compared with early stages (eBC) metastatic BC (mBC) is incurable. In mBC, aggressive treatment may increase the duration of survival but may also cause severe treatment side effects. A better understanding how patients with BC value different aspects of drug therapy might improve treatment effectiveness, satisfaction and adherence. This systematic review aims to identify and summarise studies evaluating patient preferences for drug therapy of BC and to compare preferences of patients with eBC and mBC.

METHODS

The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The electronic databases PubMed and Web of Science were searched on 22 June 2023. All studies published to this point were considered. Original studies reporting patient preferences on BC drug therapy determined by any type of choice experiment were eligible. A narrative synthesis of the effect measures presented as relative importance ratings, trade-offs (required benefit to make a therapy worthwhile) or monetary values of the treatment attributes was reported for each study. Risk of bias assessment for individual studies was performed using the checklist for observational studies from the STROBE Statement and the checklist from 'Conducting Discrete Choice Experiments to Inform Healthcare Decision Making: A User's Guide'. The study protocol was registered at the PROSPERO database (CRD42022377031).

RESULTS

A total of 34 studies met the inclusion criteria were included in the analysis evaluating the preferences of patients with eBC (n = 18), mBC (n = 10) or any stage BC (n = 6) on, for example, chemotherapy, endocrine therapy, hormonal therapy or CKD4/6-inhibitors using different types of choice experiments. Regardless of the stage, most patients valued treatment effectiveness in terms of survival gains higher than potential adverse drug reactions (ADRs). Treatment cost, mode of administration, treatment regimen and monitoring aspects were considered as least important treatment attributes. In addition, preferences concerning 16 different types of ADRs were described, showing high heterogeneity within BC stages. Yet, comparable results across BC stages were observed.

CONCLUSIONS

Regardless of the stage, patients with BC consistently valued survival gains as the most important attribute and were willing to accept the risk of potential ADRs. Incorporating patient preferences in shared decision making may improve the effectiveness of interventions by enhancing adherence to drug therapy in patients suffering from BC.

Pretesting Discrete-Choice Experiments: A Guide for Researchers

Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the preference instrument. The goal of pretesting in DCEs is to improve the validity, reliability, and relevance of the survey, while decreasing sources of bias, burden, and error associated with preference elicitation, data collection, and interpretation of the data. Despite its value to inform DCE design, pretesting lacks documented good practices or clearly reported applied examples. The purpose of this paper is: (1) to define pretesting and describe the pretesting process specifically in the context of a DCE, (2) to present a practical guide and pretesting interview discussion template for researchers looking to conduct a rigorous pretest of a DCE, and (3) to provide an illustrative example of how these resources were operationalized to inform the design of a complex DCE aimed at eliciting tradeoffs between personal privacy and societal benefit in the context of a police method known as investigative genetic genealogy (IGG).

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.

Exploring the Preferences of Parents of Children with Myopia in Rural China for Eye Care Services Under Privatization Policy: Evidence from a Discrete Choice Experiment

OBJECTIVES

This study aims to measure the preferences and valuations of parents of students with myopia parents for eye care service attributes in rural China, and to quantify the potential welfare impacts of privatization policy on children's eye care services.

METHODS

A discrete choice experiment was designed and implemented among a sample of parents of children with myopia in rural China. We randomly selected 350 participants from the list of subjects obtained from local town schools and family doctors using a random number table method. The participants were asked to choose between two hypothetical scenarios defined by five attributes: provider type, distance, price, lenses type, and refractionists' professional competencies. We estimate conditional logit and mixed logit models to approximate individual preferences for these attributes and estimate the welfare effects by calculating willingness to pay.

RESULTS

Respondents (n = 336) showed a significant preference for public providers of refractive error services, myopia control lenses, and professional refractionists (P < 0.01 for each). Consumer welfare losses due to a prohibition of the public provision of refractive error services could be compensated by improving the quality of products and services delivered by private providers. Lastly, both parent and child demographics and previous experience of eye care service consumption are important predictors of willingness to pay for refractive error services.

CONCLUSIONS

The privatization policy on children's eye care services would not cater to the preferences of rural consumers, inevitably leading to welfare losses. However, reduced consumer welfare could be compensated by improving the quality of products and service delivery from private providers. These results could help inform strategies to improve and reduce inequities in access to high-quality eye care services in rural China.

Participatory Value Evaluation (PVE): A New Preference-Elicitation Method for Decision Making in Healthcare

Participatory value evaluation (PVE) has recently been introduced in the field of health as a new method to elicit stated preferences for public policies. PVE is a method in which respondents in a choice experiment are presented with various policy options and their attributes, and are asked to compose their portfolio of preference given a public-resource constraint. This paper aims to illustrate PVE's potential for informing healthcare decision making and to position it relative to established preference-elicitation methods. We first describe PVE and its theoretical background. Next, by means of a narrative review of the eight existing PVE applications within and outside the health domain, we illustrate the different implementations of the main features of the method. We then compare PVE to several established preference-elicitation methods in terms of the structure and nature of the choice tasks presented to respondents. The portfolio-based choice task in a PVE requires respondents to consider a set of policy alternatives in relation to each other and to make trade-offs subject to one or more constraints, which more closely resembles decision making by policymakers. When using a flexible budget constraint, respondents can trade-off their private income with public expenditures. Relative to other methods, a PVE may be cognitively more demanding and is less efficient; however, it seems a promising complementary method for the preference-based assessment of health policies. Further research into the feasibility and validity of the method is required before researchers and policymakers can fully appreciate the advantages and disadvantages of the PVE as a preference-elicitation method.

Patient and Healthcare Professional Preferences for Prescription Weight Loss Medications in Australia: Two Discrete Choice Experiments

Purpose

Overweight and obesity are common in Australia and among the leading risk factors for ill health. Maintained weight loss of >5-10% can prevent and reduce the risk of obesity-related comorbidities. Prescription weight loss medications plus lifestyle interventions can result in additional weight loss compared with lifestyle interventions alone, but these medications are under-prescribed in Australia. Our aim was to develop a greater understanding of the treatment preferences of people with overweight or obesity and the healthcare practitioners (HCPs) who treat them.

Participants and Methods

An online survey of Australian adults with overweight or obesity and treating HCPs was conducted in 2020. A discrete choice experiment (DCE) approach was used to determine what is most important to people when evaluating oral and injectable prescription weight loss medications. Participants were asked to choose between three hypothetical treatment alternatives: "Oral pill"; "Subcutaneous injection pen (replaceable needle)"; "Disposable subcutaneous injection pen (hidden needle)"; and an opt-out option ("None of these").

Results

The online survey and DCE were completed by 193 patients and 104 HCPs. For both patients and HCPs, all treatment alternatives (oral, replaceable injection and disposable injection) were preferred over the opt-out. Gastrointestinal side effects, followed by success rate, percentage body weight lost, and cost were the most important attributes to patients. For HCPs, percentage body weight loss was the most important treatment attribute, followed by success rate, gastrointestinal side effects and cost. While most patients reported relatively low needle fear, physicians reported relatively high perceived patient needle fear.

Conclusion

Clinician-patient discussions about treatments for weight loss should cover the option of prescription weight loss medications, including injectable medications, which patients may be less apprehensive about than physicians believe. Treatments with a high success rate and low or manageable risk of gastrointestinal side effects may be preferred over alternatives.

Nurses' job preferences on the internet plus nursing service program: a discrete choice experiment

BACKGROUND

The Internet Plus Nursing Service (IPNS) is being instigated in all provincial-level regions throughout China, in which registered nurses (with more than five years of experience from qualified medical institutions) will provide services to those in their communities or homes after receiving online applications. The growing shortage of human resources in nursing is a critical issue for this project, so effective policies for recruiting and retaining nurses are critical.

OBJECTIVE

This study aims to pinpoint the significant job characteristics that play a crucial role in shaping the job decisions of sharing nurses in the IPNS program, and to estimate the strength of job attributes.

METHODS

A discrete choice experiment (DCE) was used to assess job attributes influencing sharing nurses' preferences. A qualitative design, including in-depth interview and focus interview methods, was conducted to determine the inclusion of attributes. The final included six attributes were: work modes, duration per visit, income per visit, personal safety, medical risk prevention, and refresher training. This study was conducted at 13 hospitals in Guangdong Province, China, from April to June 2022, and a total of 220 registered sharing nurses participated in the survey. The multinomial logit model explored attributes and relative valued utility. Preference heterogeneity is explored via latent class analysis (LCA) models.

RESULTS

A total of 220 participants answered the questionnaire. Income was the most influential characteristic of a sharing nursing position, followed by personal safety management, duration per visit, medical risk prevention, and refresher training, and nurses' preferences differed among different types of classes.

CONCLUSIONS

Sharing nurses place most value on income and personal safety with career-related decisions, which indicates an urgent need to develop complete security for personal safety. This study can be helpful to decision-makers in the Chinese government.

Heterogeneity in physician's job preferences in a dual practice context - Evidence from a DCE

Many countries are facing challenges in recruiting and retaining physicians, particularly in regions where the public and private sectors compete for doctors. Understanding the factors influencing physicians' job choices can help inform policies aimed at attracting and retaining this valuable workforce. This study aims to elicit the strength of physicians' preferences regarding various job-related aspects, including earnings, time flexibility, discussion of clinical cases, frequency of facilities and equipment updates, training opportunities and autonomy in decision making. To achieve this, a Discrete Choice Experiment (DCE) was administered to 697 physicians. Each participant completed a series of eight choice tasks, where they had to choose between two hypothetical jobs differing in these attributes with levels mirroring positions in the public and private sectors in Portugal. The resulting choices were analysed using mixed logit, generalized multinomial logit and latent classes models to account for diverse unobserved variations in physicians' preferences and to explore preference heterogeneity across different observable characteristics. Jobs that offered more autonomy and training opportunities were strongly preferred, as physicians would require additional compensation to work with reduced autonomy (equivalent to 28.62% of gross income) or less frequent training (equivalent to 22.75%). This study also shows that the ranking of the job characteristics is similar between physicians working exclusively in the public sector and those engaged in dual practice. Nevertheless, public sector physicians place more emphasis on the availability of frequent training possibilities and frequent updates of facilities and equipment compared to their counterparts in dual practice. These findings contribute to existing knowledge by highlighting the significance of non-monetary attributes and shedding light on the preferences of physicians across various employment scenarios. They offer valuable insights for policy development aimed at influencing physicians' allocation of time between sectors.

Research trends in contemporary health economics: a scientometric analysis on collective content of specialty journals

INTRODUCTION

Health economics is a thriving sub-discipline of economics. Applied health economics research is considered essential in the health care sector and is used extensively by public policy makers. For scholars, it is important to understand the history and status of health economics-when it emerged, the rate of research output, trending topics, and its temporal evolution-to ensure clarity and direction when formulating research questions.

METHODS

Nearly 13,000 articles were analysed, which were found in the collective publications of the ten most specialised health economic journals. We explored this literature using patterns of term co-occurrence and document co-citation.

RESULTS

The research output in this field is growing exponentially. Five main research divisions were identified: (i) macroeconomic evaluation, (ii) microeconomic evaluation, (iii) measurement and valuation of outcomes, (iv) monitoring mechanisms (evaluation), and (v) guidance and appraisal. Document co-citation analysis revealed eighteen major research streams and identified variation in the magnitude of activities in each of the streams. A recent emergence of research activities in health economics was seen in the Medicaid Expansion stream. Established research streams that continue to show high levels of activity include Child Health, Health-related Quality of Life (HRQoL) and Cost-effectiveness. Conversely, Patient Preference, Health Care Expenditure and Economic Evaluation are now past their peak of activity in specialised health economic journals. Analysis also identified several streams that emerged in the past but are no longer active.

CONCLUSIONS

Health economics is a growing field, yet there is minimal evidence of creation of new research trends. Over the past 10 years, the average rate of annual increase in internationally collaborated publications is almost double that of domestic collaborations (8.4% vs 4.9%), but most of the top scholarly collaborations remain between six countries only.

Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment

Objective

Physical examination services play a crucial role in the early detection of diseases, improving the effectiveness of treatment. However, the current physical examination services provided by community health service centers are limited. The objective of this study was to investigate the aspects of physical examination services that are most valued by residents.

Methods

Identify and develop attributes and levels through literature research and expert group interviews. A discrete choice experiment was designed. The main effects design gives rise to 16 choice sets. The 16 choice sets were grouped into 2 blocks, and respondents were randomly assigned to one of the blocks. In each choice set, respondents were asked to choose from two alternatives with an opt-out option. In 2023, the discrete choice experiment was administered in several community health service centers within a China population sample. A mixed logit and a latent class analysis were conducted.

Results

Participants (n = 399) preferred to receive health advice service. The services provided by the basic team with clinical experts are preferred over those provided solely by the basic team. The results indicated a preference for a participant to be serviced by face-to-face or telephone compared with WeChat. Low cost is also preferred. As participants grow older, their preference for face-to-face or telephone-based services increased. As participants' service demand increase, participants more preferred to receive interpretation of physical examination report and follow-up of important abnormal results, participants more preferred to be serviced by basic team with clinical experts or basic team with health manager etc.

Conclusion

We should improve the construction of the service team, optimize the service mode, expand the scope of examination services, reduce the cost of examination services, and meet the needs of residents for physical examination services. More attention should be paid to the needs of elderly and rural residents.

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.

Using Discrete Choice Experiments to Quantify Patient Preferences

Discrete choice experiments are a robust technique for quantifying preferences. With this method, respondents are presented with a series of hypothetical comparisons described by attributes with varying levels. The aggregated choices from respondents can be used to infer the relative importance of the described attributes and acceptable trade-offs between attributes. The data generated from discrete choice experiments can aid surgeons in aligning patient values with treatment decisions and support the design of research that is responsive to patient preferences. This article summarizes the application of discrete choice experiments to orthopaedics. We share best practices for designing discrete choice experiments and options for reporting study results. Finally, we suggest opportunities for this method within our field.

Women's preferences for less active ectopic pregnancy treatment: A discrete choice experiment

RESEARCH QUESTION

Shared decision-making has become a hallmark of quality care and is increasingly spotlighted in practice guidelines. Little is known about women's views for treatment of less active ectopic pregnancy. What are the preferences of women for less active ectopic pregnancy treatment-related attributes?

DESIGN

A discrete choice model with 8 attributes depicting ectopic pregnancy treatment including varying levels of first-line treatment effectiveness, length of hospitalization, cost, length of sick leave, of convalescence, need for surgical management, for emergency care during convalescence and for tube removal was used. Childbearing aged women, i.e. those who might experience an ectopic pregnancy in the future, were recruited. They were asked to choose between hypothetical treatments in 18 choice tasks with different levels of all treatment attributes. A conditional logit McFadden's choice model was performed. The main outcome measure was preference weights for less active ectopic pregnancy treatment-related attributes.

RESULTS

A total of 5770 observations from 178 women were analysed. The attributes displaying the highest marginal impacts on women's decisions included: higher rate of first-line treatment effectiveness, lower rate of tube removal, lower rate of surgical management, shorter length of hospitalization and, to a lesser extent, but still significant, shorter length of convalescence, absence of risk of emergency care during convalescence and lower cost.

CONCLUSIONS

Trade-offs made by women between the attributes of less active ectopic pregnancy treatment suggest that no treatment option, either medical or surgical, is an obvious preferred option. These results encourage the promotion of shared decision-making.

Assessing the utility of measurement methods applied in economic evaluations of pharmacogenomics applications

An increasing number of economic evaluations are published annually investigating the economic effectiveness of pharmacogenomic (PGx) testing. This work was designed to provide a comprehensive summary of the available utility methods used in cost-effectiveness/cost-utility analysis studies of PGx interventions. A comprehensive review was conducted to identify economic analysis studies using a utility valuation method for PGx testing. A total of 82 studies met the inclusion criteria. A majority of studies were from the USA and used the EuroQol-5D questionnaire, as the utility valuation method. Cardiovascular disorders was the most studied therapeutic area while discrete-choice studies mainly focused on patients' willingness to undergo PGx testing. Future research in applying other methodologies in PGx economic evaluation studies would improve the current research environment and provide better results.

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.

Preferences for Living Arrangements in Dementia: A Discrete Choice Experiment

BACKGROUND

Dementia affects about 55 million people worldwide. Demographic change and shifting lifestyles challenge the organization of dementia care. A discrete choice experiment (DCE) was conducted to elicit preferences for living arrangements in dementia in urban and rural regions of Germany.

METHODS

Preliminary work included review of previous literature and focus groups. The DCE consists of seven attributes (group size, staff qualifications, organization of care, activities offered, support of religious practice, access to garden, consideration of food preferences) with three levels each. Individuals from the general population between the ages of 50 and 65 years were identified through population registration offices in three rural municipalities and one urban area, and 4390 individuals were approached via postal survey. A hierarchical Bayesian mixed logit model was estimated and interactions with sociodemographic characteristics were investigated.

RESULTS

A total of 428 and 412 questionnaires were returned by rural and urban respondents, respectively. Access to a garden was perceived as the most important attribute (average importance 36.0% in the rural sample and 33.4% in the urban sample), followed by consideration of food preferences (15.8%, 17.8%), staff qualification (14.6%, 15.3%), care organization (11.4%, 12.3%), group size (12.2%, 11.1%), and range of activities (8.0%, 10.1%). The attribute relating to religious practice was given the least importance (2.1%, 0%). Preferences vary according to gender, age, religious beliefs, experience as an informal caregiver, and migrant background.

CONCLUSION

Heterogeneous preferences for living arrangements for people with dementia were identified. The expansion of concepts with access to natural environments for persons with dementia might be a viable option for the formal care market in Germany. Further research is needed to meet the challenges of setting up and designing innovative living arrangements for people with dementia. Preferences vary by gender, age, religious beliefs, experience as an informal caregiver, and migrant background.

Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria: a discrete choice experiment

BACKGROUND

The COVID-19 pandemic has accelerated the use of mobile phones to provide primary health care services and maintain continuity of care. This study aims to understand rural women's preferences for telephone call engagement with primary health care providers in Nigeria.

METHODS

A discrete choice experiment was conducted alongside an action research project that empowered primary health care workers to develop and implement a telephone call intervention to assess and enhance experiences with facility childbirth care. Between January and March 2022, 30 providers from 10 primary health care facilities implemented the choice experiment among rural women who had institutional childbirth to elicit service user preferences for telephone call engagement. The women were asked to express their preferred scenario for telephone call engagement with their primary health care providers. Generalised linear mixed models were used to estimate women's preferences.

RESULTS

Data for 460 women were available for the discrete choice experiment. The study showed that rural women have preferences for telephone call engagement with primary health care providers. Specifically, women preferred engaging with female to male callers (β=1.665 (95% CI 1.41, 1.93), SE=0.13, p<0.001), preferred call duration under 15 min (β=1.287 (95% CI 0.61, 1.96), SE=0.34, p<0.001) and preferred being notified before the telephone engagement (warm calling) (β=1.828 (95% CI 1.10, 2.56), SE=0.37, p<0.001). Phone credit incentive was also a statistically significant predictor of women's preferences for engagement. However, neither the availability of scheduling options, the period of the day or the day of the week predicts women's preferences.

CONCLUSIONS

The study highlights the importance of understanding rural women's preferences for telephone call engagement with healthcare providers in low-income and middle-income countries. These findings can inform the development of mobile phone-based interventions and improve acceptability and broader adoption.

Identifying patient preferences for diabetes care: A protocol for implementing a discrete choice experiment in Samoa

In Samoa, adult Type 2 diabetes prevalence has increased within the past 30 years. Patient preferences for care are factors known to influence treatment adherence and are associated with reduced disease progression and severity. However, patient preferences for diabetes care, generally, are understudied, and other patient-centered factors such as willingness-to-pay (WTP) for diabetes treatment have never been explored in this setting. Discrete Choice Experiments (DCE) are useful tools to elicit preferences and WTP for healthcare. DCEs present patients with hypothetical scenarios composed of a series of multi-alternative choice profiles made up of attributes and levels. Patients choose a profile based on which attributes and levels may be preferable for them, thereby quantifying and identifying locally relevant patient-centered preferences. This paper presents the protocol for the design, piloting, and implementation of a DCE identifying patient preferences for diabetes care, in Samoa. Using an exploratory sequential mixed methods design, formative data from a literature review and semi-structured interviews with n = 20 Samoan adults living with Type 2 diabetes was used to design a Best-Best DCE instrument. Experimental design procedures were used to reduce the number of choice-sets and balance the instrument. Following pilot testing, the DCE is being administered to n = 450 Samoan adults living with diabetes, along with associated questionnaires, and anthropometrics. Subsequently, we will also be assessing longitudinally how preferences for care change over time. Data will be analyzed using progressive mixed Rank Order Logit models. The results will identify which diabetes care attributes are important to patients (p < 0.05), examine associations between participant characteristics and preference, illuminate the trade-offs participants are willing to make, and the probability of uptake, and WTP for specific attributes and levels. The results from this study will provide integral data useful for designing and adapting efficacious diabetes intervention and treatment approaches in this setting.

Public preferences for online medical consultations in China: a discrete choice experiment

Background

Online medical consultation (OMC) is significant to promote the utilization and accessibility of healthcare resources and save time on consultation. However, the usage and public acceptance rates of it are still low in China. Meanwhile, few studies have focused on consumers' demand of OMC services. This study aims to identify attributes that influence users' preference for OMC services, quantify the value of these characteristics, and compare their relative importance.

Methods

A nationwide discrete choice experiment was conducted to survey Chinese residents' preference choices for six attributes of OMC services. Conditional logit model and mixed logit model were used to analyze respondents' preference. Willingness to pay and heterogeneity were estimated by the mixed logit model.

Results

A total of 856 respondents completed the study, and 668 questionnaires passed the consistency test. All of 6 attributes in the study were statistically significant except for "Doctor's professional title - Associate Senior." When choosing OMC services, respondents preferred to spend as little time and money as possible on a large online medical platform to consult a high-rated physician with a senior title from a well-known Grade-A tertiary hospital. Besides, respondents valued doctor's evaluation score most and were willing to pay ¥107 to obtain the services of higher-scored doctors.

Conclusion

The study measured Chinese residents' preferences for six attributes of OMC and showed the heterogeneity of attributes among subgroups. Our findings suggested that OMC services providers should reduce the customers' waiting time, improve the quality of services and enhance professional skills to meet the customers' requirements. More research on preferences for OMC needs to be conducted in China, especially for key populations such as patients with chronic diseases.

College students' preferences for tobacco treatment: a discrete choice experiment

The purpose of this study was to elicit preferences for the 'format' and 'content' of tobacco treatment among college student smokers, using an online discrete choice experiment (DCE) survey. A DCE survey, supplemented with a think-aloud method, was conducted among 54 college students who smoked combustible cigarettes and/or e-cigarettes. Conditional logistic regression models were constructed to determine optimal profiles of treatment. Cutting down nicotine rather than quitting 'cold turkey' (P < 0.001) and two-way communication (P < 0.001) were viewed as the most critical attributes for the intervention 'format'; changing behaviors rather than social groups/peers (P < 0.001) and autonomy (P < 0.001) were viewed as the most critical attributes for the intervention 'content'. Some preferences varied based on smoking subgroups. Combustible cigarette users preferred interventions with a longer time commitment (P < 0.05) and without nicotine replacement therapies (NRTs) (P < 0.001). Think-aloud data supported the DCE findings and further revealed a strong desire for cutting down nicotine and keeping social groups/peers and misconceptions regarding NRTs. Our study findings can guide tobacco treatment tailored to college students. These treatments should be tailored to specific smoker subgroups.

Eliciting preferences of persons with dementia and informal caregivers to support ageing in place in the Netherlands: a protocol for a discrete choice experiment

INTRODUCTION

Ageing in place (AIP) for persons with dementia is encouraged by European governments and societies. Healthcare packages may need reassessment to account for the preferences of care funders, patients and informal caregivers. By providing insight into people's preferences, discrete choice experiments (DCEs) can help develop consensus between stakeholders. This protocol paper outlines the development of a Dutch national study to cocreate a healthcare package design methodology built on DCEs that is person-centred and helps support informal caregivers and persons with dementia to AIP. A subpopulation analysis of persons with dementia with a migration background is planned due to their high risk for dementia and under-representation in research and care.

METHODS AND ANALYSIS

The DCE is designed to understand how persons with dementia and informal caregivers choose between different healthcare packages. Qualitative methods are used to identify and prioritise important care components for persons with dementia to AIP. This will provide a list of care components that will be included in the DCE, to quantify the care needs and preferences of persons with dementia and informal caregivers. The DCE will identify individual and joint preferences to AIP. The relative importance of each attribute will be calculated. The DCE data will be analysed with the use of a random parameters logit model.

ETHICS AND DISSEMINATION

Ethics approval was waived by the Amsterdam University Medical Center (W23_112 #23.137). A study summary will be available on the websites of Alzheimer Nederland, Pharos and Amsterdam Public Health institute. Results are expected to be presented at (inter)national conferences, peer-reviewed papers will be submitted, and a dissemination meeting will be held to bring stakeholders together. The study results will help improve healthcare package design for all stakeholders.

Which body functions and activities matter for stroke patients? Study protocol for best-Worst scalings to value core elements of the International Classification of Functioning, Disability and Health

BACKGROUND

Stroke is a common, serious, and disabling healthcare problem with increasing incidence and prevalence. Following a stroke, identifying the factors associated with decisions about rehabilitation interventions is important to assess rehabilitation after stroke. The aim is to guide clinical staff to make patient-centered decisions. Fundamentally, decision makers cannot draw on evidence to consider the relevance of distinct functions and activities from the patient's perspective. Until now, outcomes of rehabilitation are generally categorized using the International Classification of Functioning, Disability and Health (ICF). This can be seen as a conceptual basis for the assessment of health and disability. Since the ICF does not distinguish importance between these aspects there is a need to value the most important clinical factors as well as related activities from a patients and public perspective to help guide therapists in effectively designing post-acute rehabilitation care for individuals following stroke. The research question is which ICF body functions and activities are of value to stroke patients? Which trade-offs are patients willing to make within the core elements? Health preference research (HPR) answers the need to develop additional preference weights for certain ICF dimensions. Patient preference information (PPI) values health conditions based on the ICF from a patient perspective.

METHODS

In this study we conduct three best-worst scaling (BWS) experiments to value body function and activities from patients' and public perspective. Out of all ICF dimensions this research covers health conditions relevant to stroke patients in terms of body function, perception, and activities of daily living. Stroke patients as well as members of the general population will be recruited to participate in the online BWS surveys. Fractional, efficient designs are applied regarding the survey design. Conditional and multinominal logit analyses will be used as the main analysis method, with the best-worst count analysis as a secondary analysis. The survey is being piloted prior to commencing the process of data collection. Results are expected by the autumn of 2023.

DISCUSSION

The research will add to the current literature on clinical decision-making in stroke rehabilitation and the value of certain body functions as well as related activities in neurorehabilitation. Moreover, the study will show whether body functions and activities that are currently equally weighted in international guidelines are also equally important from the point of view of those affected, or whether there are disconcordances in terms of differences between public judgements and patients' preferences.

Parental preferences for the procedural sedation of children in dentistry: a discrete choice experiment

Purpose

The aim of this study was to explore parental preferences for the procedural sedation of children in dentistry through a discrete choice experiment (DCE) to inform clinical decisions and oral health management.

Methods

Based on literature reviews, interviews with parents of pediatric dental patients, and expert consultation, six attributes, including fasting time, recovery time, sedative administration routes, adverse reactions, sedation depth and procedure cost, were incorporated into the DCE questionnaire. The DCE questionnaire collected data on parental preferences for pediatric dental sedation treatment from June to August 2022. A conditional logit model was used to analyze preference and willingness to pay (WTP) for each attribute and its level. Subgroup analyses assessing the impact of parents' dental anxiety on procedural sedation preferences were also conducted using conditional logit models.

Results

A total of 186 valid questionnaires were gathered. Parents' preferences for fewer adverse reactions, a milder sedation depth, lower out-of-pocket cost, shorter fasting and recovery times and administration by inhalation were significantly associated with their choice of sedation model. The conditional logit model showed that parents were most interested in treatments with no adverse reactions (0% vs. 15%) (Coef, 1.033; 95% CI, 0.833-1.233), followed by those providing minimal sedation (vs. deep sedation) (Coef, 0.609; 95% CI, 0.448-0.769). Moreover, the relative importance of adverse reactions and fasting time was higher among anxious than nonanxious parents. The study found a WTP threshold of ¥1,538 for reducing adverse reactions (15% to 0%). The WTP threshold for the best sedation procedure scenario (no fasting requirement, 10 min recovery time, administration by inhalation, 0% adverse reaction incidence and minimal sedation) was ¥3,830.

Conclusion

Reducing the adverse reactions and depth of sedation are predominant considerations for parents regarding procedural sedation in pediatric dentistry, followed by lower cost, shorter fasting and recovery times and inhalation sedation. Parents with dental anxiety had a stronger preference for options with a lower incidence of adverse reactions and shorter fasting time than parents without dental anxiety. This discovery is helpful for doctors and can promote collaborative decision-making among parents and doctors.

Preferences for Palliative and End-of-Life Care: A Systematic Review of Discrete Choice Experiments

OBJECTIVES

Understanding what matters most to patients and their caregivers is fundamental to delivering high-quality care. This systematic review aimed to characterize and appraise the evidence from discrete choice experiments eliciting preferences for palliative care.

METHODS

A systematic literature search was undertaken for publications up until August 2022. Data were synthesized narratively. Thematic analysis was applied to categorize attributes into groups. Attribute development, frequency, and relative importance were analyzed. Subgroup analyses were conducted to compare outcomes between patient and proxy respondents.

RESULTS

Seventeen studies spanning 11 countries were included; 59% of studies solely considered preferences for patients with cancer. A range of respondent groups were represented including patients (76%) and proxies (caregivers [35%], health providers [12%], and the public [18%]). A total of 117 individual attributes were extracted and thematically grouped into 8 broad categories and 21 subcategories. Clinical outcomes including quality of life, length of life, and pain control were the most frequently reported attributes, whereas attributes relating to psychosocial components were largely absent. Both patients and proxy respondents prioritized pain control over additional survival time. Nevertheless, there were differences between respondent cohorts in the emphasis on other attributes such as access to care, timely information, and low risk of adverse effects (prioritized by patients), as opposed to cost, quality, and delivery of care (prioritized by proxies).

CONCLUSIONS

Our review underscores the vital role of pain control in palliative care; in addition, it shed light on the complexity and relative strength of preferences for various aspects of care from multiple perspectives, which is useful in developing personalized, patient-centered models of care for individuals nearing the end of life.

Public preference on sharing health data to inform research, health policy and clinical practice in Australia: A stated preference experiment

OBJECTIVE

To investigate public willingness to share sensitive health information for research, health policy and clinical practice.

METHODS

A total of 1,003 Australian respondents answered an online, attribute-driven, survey in which participants were asked to accept or reject hypothetical choice sets based on a willingness to share their health data for research and frontline-medical support as part of an integrated health system. The survey consisted of 5 attributes: Stakeholder access for analysis (Analysing group); Type of information collected; Purpose of data collection; Information governance; and Anticipated benefit; the results of which were analysed using logistic regression.

RESULTS

When asked about their preference for sharing their health data, respondents had no preference between data collection for the purposes of clinical practice, health policy or research, with a slight preference for having government organisations manage, govern and curate the integrated datasets from which the analysis was being conducted. The least preferred option was for personal health records to be integrated with insurance records or for their data collected by privately owned corporate organisations. Individuals preferred their data to be analysed by a public healthcare provider or government staff and expressed a dislike for any private company involvement.

CONCLUSIONS

The findings from this study suggest that Australian consumers prefer to share their health data when there is government oversight, and have concerns about sharing their anonymised health data for clinical practice, health policy or research purposes unless clarity is provided pertaining to its intended purpose, limitations of use and restrictions to access. Similar findings have been observed in the limited set of existing international studies utilising a stated preference approach. Evident from this study, and supported by national and international research, is that the establishment and preservation of a social license for data linkage in health research will require routine public engagement as a result of continuously evolving technological advancements and fluctuating risk tolerance. Without more work to understand and address stakeholder concerns, consumers risk being reluctant to participate in data-sharing and linkage programmes.

Patient Preferences in Diagnostic Imaging: A Scoping Review

BACKGROUND

As new diagnostic imaging technologies are adopted, decisions surrounding diagnostic imaging become increasingly complex. As such, understanding patient preferences in imaging decision making is imperative.

OBJECTIVES

We aimed to review quantitative patient preference studies in imaging-related decision making, including characteristics of the literature and the quality of the evidence.

METHODS

The Pubmed, Embase, EconLit, and CINAHL databases were searched to identify studies involving diagnostic imaging and quantitative patient preference measures from January 2000 to June 2022. Study characteristics that were extracted included the preference elicitation method, disease focus, and sample size. We employed the PREFS (Purpose, Respondents, Explanation, Findings, Significance) checklist as our quality assessment tool.

RESULTS

A total of 54 articles were included. The following methods were used to elicit preferences: conjoint analysis/discrete choice experiment methods (n = 27), contingent valuation (n = 16), time trade-off (n = 4), best-worst scaling (n = 3), multicriteria decision analysis (n = 3), and a standard gamble approach (n = 1). Half of the studies were published after 2016 (52%, 28/54). The most common scenario (n = 39) for eliciting patient preferences was cancer screening. Computed tomography, the most frequently studied imaging modality, was included in 20 studies, and sample sizes ranged from 30 to 3469 participants (mean 552). The mean PREFS score was 3.5 (standard deviation 0.8) for the included studies.

CONCLUSIONS

This review highlights that a variety of quantitative preference methods are being used, as diagnostic imaging technologies continue to evolve. While the number of preference studies in diagnostic imaging has increased with time, most examine preventative care/screening, leaving a gap in knowledge regarding imaging for disease characterization and management.

Patient Preferences for the Management of Gastrointestinal Symptoms in Kidney Transplantation: a Discrete Choice Experiment

Introduction

Gastrointestinal (GI) symptoms in kidney transplant are common and debilitating. We aimed to ascertain patients' preferences for GI symptom management options to help future interventions align with treatment priorities.

Methods

A discrete choice experiment was conducted with kidney transplant recipients in 3 Australian nephrology units. A multinomial logit model was used to quantify the preferences and trade-offs between 5 characteristics: cost, formulation, symptom burden, dietary changes, and medication quantities.

Results

Seventy patients participated (mean age ± SD: 47 ± 15 years, 56% female), 57% had GI symptoms. Patients preferred interventions that will achieve complete resolution of GI symptoms compared to no improvement (odds ratio [95% confidence interval]: 15.3 [1.80, 129.50]), were delivered as a tablet rather than a sachet (1.6 [1.27, 2.08]), retained their current diet compared to eliminating food groups (6.0 [2.19, 16.27]), reduced medication burden (1.4 [1.06, 1.79]), and had lower costs (0.98 [0.96, 1.00]). Participants would be willing to pay AUD$142.20 [$83.90, $200.40] monthly to achieve complete resolution of GI symptoms or AUD$100.90 [$9.60, $192.10] to have moderate improvement in symptoms.

Conclusions

Interventions that are highly effective in relieving all GI symptoms without the need for substantive dietary changes, and in tablet form, are most preferred by kidney transplant recipients.

Measuring Mental Health Service Preferences Amongst Illinois Dairy Producers

OBJECTIVES

To mitigate mental health concerns of farmers, research is needed to investigate strategies that encourage help-seeking behavior in this population. This study attempts to identify those help-seeking strategies. Six mental health service options were examined.

METHODS

A survey, implementing a best-worst scaling choice experiment, was disseminated to members of the Illinois Milk Producers Association. Two methods of analysis were conducted. The first, a count-based method, employs a simple count-based approach to measure the relative preferences for the six mental health service options in question. The second is more complex and employs a latent-class logit regression model to measure individual preferences.

RESULTS

The mental-health service options, ranked in order from most preferred to least preferred were: 1) speak to family and friends, 2) keep it to myself, 3) utilize programs offered by agricultural organizations, 4) search online for self-help resources, 5) talk to a mental health professional, and 6) use "tele-health" support services.

CONCLUSION

This study examined an important gap in the literature concerning help-seeking preferences of dairy farmers. It is the first to utilize a choice experiment approach to assess help-seeking preferences among this understudied population. Results provide important empirical evidence to support distinct categories of farmers who may be weighing options regarding how to best address their mental health concerns.

Eliciting preferences in glaucoma management-a systematic review of stated-preference studies

BACKGROUND

In most cases, glaucoma patients require long-term medical and/or surgical treatment. Preference studies investigate how different aspects of glaucoma management, such as health or process outcomes, are valued and herewith help stakeholders make care more responsive to patients' needs. As, to our knowledge, no overview of these studies is currently available, this study aims to systematically review and critically appraise these studies.

METHODS

A systematic literature review was conducted using keywords for stated-preference studies and glaucoma up to October 2021. Studies were included if they were original research and used a stated-preference methodology to investigate preferences in patients or healthcare professionals for different aspects of glaucoma management. Data were extracted and summarized. Furthermore, a quality appraisal of the included studies was performed using two validated checklists.

RESULTS

The search yielded 1214 articles after removal of duplicates. Of those, 11 studies fulfilled the inclusion criteria. Studies aimed to elicit preferences for glaucoma treatment (27%), glaucoma related health state valuation (36%), and services (36%) from the patient (91%) or ophthalmologists' perspective (9%). Altogether studies included 69 attributes. The majority of attributes were outcome related (62%), followed by process (32%) and cost attributes (6%). Outcome attributes (e.g., effectiveness) were most often of highest importance to the population.

CONCLUSIONS

This systematic review provides an up-to-date and critical review of stated-preference studies in the field of glaucoma, suggesting that patients have preferences and are willing to trade-off between characteristics, and revealed that outcome attributes are the most influential characteristics of glaucoma management.

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.

Preferences and willingness-to-pay for a blood pressure telemonitoring program using a discrete choice experiment

This study aimed to elicit the preferences and willingness-to-pay for blood pressure (BP) telemonitoring programs. This study also investigated the different factors or participant characteristics that could influence preferences and choice behaviors. Participants with hypertension were identified from an online survey panel demographically representative of Singapore's general population. Participants completed a discrete choice experiment (DCE) with 12 choice sets, selecting their preferred BP monitoring program differing on five attributes: mode of consultation, BP machine type (with Bluetooth or not), BP machine price, monthly fee, and program duration. The base reference population (male, married, higher income, more formal education years, full-time worker, aged 55 to <65 years, and digital skills score of 36) preferred teleconsultation over in-person consultation, Bluetooth feature, lower machine price, lower monthly fee, and shorter program duration. A subgroup of participants can be considered teleconsultation-resistant, and three demographic factors were associated with lower preference for teleconsultation: female, fewer formal education years, and lower income. Considering the reference population and Bluetooth attribute, participants were willing to pay 66 SGD (~49 USD) additional for the machine to obtain the Bluetooth feature. Considering the reference population and teleconsultation attribute, participants were willing to pay 6.80 SGD (~5.10 USD) extra monthly fee for a program using teleconsultation. Here we report that amongst participants with hypertension, there is strong preference for the use of teleconsultation and a BP machine with Bluetooth feature in a BP monitoring program. However, a subgroup of participants are teleconsultation-resistant and would prefer in-person consultation.

Patients' Preferences for Adjunctive Parkinson's Disease Treatments: A Discrete-Choice Experiment

Background

Several adjunctive medications are available to reduce OFF time between levodopa/carbidopa (LD/CD) doses for people with Parkinson's disease (PD).

Objective

To explore how individuals with PD balance benefits and burdens when considering adjunctive medications.

Methods

US adults (30-83 years) with self-reported PD, currently treated with LD/CD, who experienced OFF episodes were recruited through the Fox Insight study to complete a discrete-choice experiment survey. Respondents selected among experimentally designed profiles for hypothetical adjunctive PD treatments that varied in efficacy (additional ON time), potential adverse effects (troublesome dyskinesia, risk of diarrhea, risk of change in bodily fluid color), and dosing frequency or the option "No additional medicine". Data were analyzed with random-parameters logit models.

Results

Respondents (N=480) would require ≥60 additional minutes of daily ON time to accept either a 40% risk of change in bodily fluid color or 10 additional minutes with troublesome dyskinesia daily. Respondents would require 40 additional minutes of daily ON time to accept a 10% risk of diarrhea and 22 additional minutes of daily ON time to switch from 1 additional pill each day to 1 pill with each LD/CD dose. On average, respondents preferred adjunctive PD medication over no additional medication. Results predicted that 59.1% of respondents would select a hypothetical treatment profile similar to opicapone, followed by no additional medication (27.5%) and a hypothetical treatment profile similar to entacapone (13.4%).

Limitations

The data collected were based on responses to hypothetical choice profiles in the survey questions. The attributes and levels selected for this study were intended to reflect the characteristics of opicapone and entacapone; attributes associated with other adjunctive therapies were not evaluated.

Conclusion

Patients with PD expressed interest in adjunctive treatment to increase ON time and would accept reduced ON time to avoid adverse effects.

Consumers' Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Background

There is growing interest in mobile health apps; however, not all of them have been successful. The most common issue has been users' nonadoption or abandonment of health apps because the app designs do not meet their preferences. Therefore, to facilitate design-preference fit, understanding consumers' preferences for health apps is necessary, which can be accomplished by using a discrete choice experiment.

Objective

This study aims to examine consumer preferences for health apps and how these preferences differ across individuals with different sociodemographic characteristics and health app usage and purchase experiences.

Methods

A cross-sectional discrete choice experiment questionnaire survey was conducted with 593 adults living in Hong Kong. A total of 7 health app attributes that might affect consumers' preferences for health apps were examined, including usefulness, ease of use, security and privacy, health care professionals' attitudes, smartphone storage consumption, mobile data consumption, and cost. Mixed-effect logit regressions were used to examine how these attributes affected consumer preferences for health apps. Fixed effects (coefficient β) of the attributes and random effects of individual differences were modeled. Subgroup analyses of consumer preferences by sex, age, household income, education level, and health app usage and purchase experiences were conducted.

Results

Cost was the attribute that had the greatest effect on consumers' choice of health apps (compared to HK $10 [US $1.27]-HK $50 [US $6.37]: β=-1.064; P<.001; HK $100 [US $12.75]: β=-2.053; P<.001), followed by security and privacy (compared to no security insurance-some security policies: β=.782; P<.001; complete security system: β=1.164; P<.001) and usefulness (compared to slightly useful-moderately useful: β=.234; P<.001; very useful: β=.979; P=.007), mobile data consumption (compared to data-consuming-a bit data-consuming: β=.647; P<.001; data-saving: β=.815; P<.001), smartphone storage consumption (compared to >100 MB-around 38 MB: β=.334; P<.001; <10 MB: β=.511; P<.001), and attitudes of health care professionals (compared to neutral-moderately supportive: β=.301; P<.001; very supportive: β=.324; P<.001). In terms of ease of use, consumers preferred health apps that were moderately easy to use (compared to not easy to use-moderately easy to use: β=.761; P<.001; very easy to use: β=.690; P<.001). Our results also showed that consumers with different sociodemographic characteristics and different usage and purchase experiences with health apps differed in their preferences for health apps.

Conclusions

It is recommended that future health apps keep their mobile data and phone storage consumption low, include a complete security system to protect personal health information, provide useful content and features, adopt user-friendly interfaces, and involve health care professionals. In addition, health app developers should identify the characteristics of their intended users and design and develop health apps to fit the preferences of the intended users.

Decision Making About Disease-Modifying Treatments for Relapsing-Remitting Multiple Sclerosis: Stated Preferences and Real-World Choices

BACKGROUND

People with relapsing-remitting multiple sclerosis can benefit from disease-modifying treatments (DMTs). Several DMTs are available that vary in their efficacy, side-effect profile and mode of administration.

OBJECTIVE

We aimed to measure the preferences of people with relapsing-remitting multiple sclerosis for DMTs using a discrete choice experiment and to assess which stated preference attributes correlate with the attributes of the DMTs they take in the real world.

METHODS

Discrete choice experiment attributes were developed from literature reviews, interviews and focus groups. In a discrete choice experiment, participants were shown two hypothetical DMTs, then chose whether they preferred one of the DMTs or no treatment. A mixed logit model was estimated from responses and individual-level estimates of participants' preferences conditional on their discrete choice experiment choices calculated. Logit models were estimated with stated preferences predicting current real-world on-treatment status, DMT mode of administration and current DMT.

RESULTS

A stated intrinsic preference for taking a DMT was correlated with currently taking a DMT, and stated preferences for mode of administration were correlated with the modes of administration of the DMTs participants were currently taking. Stated preferences for treatment effectiveness and adverse effects were not correlated with real-world behaviour.

CONCLUSIONS

There was variation in which discrete choice experiment attributes correlated with participants' real-world DMT choices. This may indicate patient preferences for treatment efficacy/risk are not adequately taken account of in prescribing. Treatment guidelines must ensure they take into consideration patients' preferences and improve communication around treatment efficacy/risk.

Preferences for Adjuvant Immunotherapy in Adults with Resected Stage III Melanoma-A Discrete Choice Experiment

OBJECTIVES

This study aimed to quantify adult preferences for adjuvant immunotherapy for resected melanoma and the influence of varying levels of key attributes and baseline characteristics.

METHODS

A D-efficient design generated 12 choice tasks for two alternative treatments, adjuvant immunotherapy or no adjuvant immunotherapy. Recruitment to the online discrete choice experiment (DCE) occurred via survey dissemination by eight Australian melanoma consumer and professional groups, targeting adults with resected stage III melanoma, considering or having received adjuvant immunotherapy. The DCE included six attributes with two to three levels each, including 3-year risk of recurrence, mild, permanent and fatal adverse events (AEs), drug regimen and annual out-of-pocket costs. A mixed multinomial logit model was used to estimate preferences and calculate marginal rates of substitution and marginal willingness to pay (mWTP).

RESULTS

The DCE was completed by 116 respondents, who chose adjuvant immunotherapy over no adjuvant immunotherapy in 70% of choice tasks. Respondents preferred adjuvant immunotherapy when associated with reduced: probabilities of recurrence, permanent and fatal AEs, and out-of-pocket costs. mWTP for an absolute reduction of 1% in 3-year risk of recurrence was less for respondents with lower rather than higher incomes, AU$794 (US$527) and AU$2190 (US$1454) per year. Respondents accepted an additional 4% chance of a permanent AE to reduce their absolute risk of 3-year recurrence by 1%. Respondents were willing to accept an extra 2% chance of 3-year recurrence to lower their chance of a fatal AE by 1%.

CONCLUSIONS

Almost three-quarters of respondents chose adjuvant immunotherapy over no adjuvant immunotherapy, preferring treatment that improved efficacy and safety. Findings may inform decisions about access to adjuvant immunotherapy following surgery for melanoma.