Virtual Service Delivery in Mental Health and Substance Use Care: A Systematic Review of Preference Elicitation Studies

Mental health and substance use disorders affect the lives of many people worldwide. Prevention and treatment of these conditions is important for optimal health and wellbeing, yet service access barriers are common. Virtual models of care may help to reduce barriers to receiving care. However, to facilitate uptake and use of virtual services, they need to appeal to patients and clinicians. This systematic review aimed to synthesise preference elicitation studies to determine what features of virtual mental health and substance use care are preferred by service users and service providers. Following the PRISMA guidelines for systematic reviews, we searched PubMed, PsycINFO, EconLit, MEDLINE, CINAHL, Academic Search Ultimate, and ProQuest Central for all available studies from database inception until May 2023. The Mixed Methods Appraisal Tool was used to assess the methodological quality of included studies. Nineteen studies met the eligibility criteria. However, none examined preferences for elements of different models of virtual care. Across the included studies, we identified 41 unique features that mapped to four themes of mental health and substance use care ('service', 'treatment', 'clinician' and 'additional supports'). Participant preferences were for individual, in-person, effective, flexible, and low-cost treatment. These preferences varied based on demographic factors, such as culture, gender, and participant type (e.g., patients, clinicians, general population). A user-centred approach should be adopted when designing and implementing mental health and substance use services. While preferences for features of mental health and substance use services more broadly are known, preferences for different models of virtual care remain unexplored. Future research should examine what features of virtual services would lead to optimal uptake and use across different users and stakeholders.

Adolescent-Preferred financial incentives to promote type 1 diabetes Self-Care: A discrete choice experiment

AIMS

This study aimed to quantify preferences for the characteristics of a financial incentives program that would motivate adolescent engagement in type 1 diabetes (T1D) self-care.

METHOD

We performed a discrete choice experiment with 12-18 year-olds with T1D from two pediatric hospital endocrinology clinics (n = 317). We identified key attributes of incentives: (1) monthly value of the reward, (2) payment structure, and (3) difficulty of incentivized behaviors. In twelve choice questions, adolescents chose the incentive option from a pair of profiles that was more likely to motivate them to increase adherence to recommended self-care. Options presented were tailored to adolescents' T1D technology use and perceived difficulty of completing each behavior. We analyzed data using a conditional logit model.

RESULTS

The value of the reward accounted for 60.8% of preferences. Adolescents were willing to accept lower value rewards when incentive payments used positive vs. negative reinforcement (-$10.88 (95% CI: -$12.60, -9.24)) and preferred higher incentives for performing hard vs. easier behaviors (+$14.92 (95% CI: +$12.66, +$17.28)).

CONCLUSIONS

Stated preferences can inform intervention design. Future research will evaluate the external validity of the discrete choice experiment-informed intervention design by assessing adolescent health and behavioral outcomes in a randomized controlled trial.

The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments

PURPOSE

The calculation of aggregated composite measures is a widely used strategy to reduce the amount of data on hospital report cards. Therefore, this study aims to elicit and compare preferences of both patients as well as referring physicians regarding publicly available hospital quality information METHODS: Based on systematic literature reviews as well as qualitative analysis, two discrete choice experiments (DCEs) were applied to elicit patients' and referring physicians' preferences. The DCEs were conducted using a fractional factorial design. Statistical data analysis was performed using multinomial logit models RESULTS: Apart from five identical attributes, one specific attribute was identified for each study group, respectively. Overall, 322 patients (mean age 68.99) and 187 referring physicians (mean age 53.60) were included. Our models displayed significant coefficients for all attributes (p < 0.001 each). Among patients, "Postoperative complication rate" (20.6%; level range of 1.164) was rated highest, followed by "Mobility at hospital discharge" (19.9%; level range of 1.127), and ''The number of cases treated" (18.5%; level range of 1.045). In contrast, referring physicians valued most the ''One-year revision surgery rate'' (30.4%; level range of 1.989), followed by "The number of cases treated" (21.0%; level range of 1.372), and "Postoperative complication rate" (17.2%; level range of 1.123) CONCLUSION: We determined considerable differences between both study groups when calculating the relative value of publicly available hospital quality information. This may have an impact when calculating aggregated composite measures based on consumer-based weighting.

What Can Discrete-Choice Experiments Tell Us about Patient Preferences? An Introduction to Quantitative Analysis of Choice Data

This paper provides an introduction to statistical analysis of choice data using example data from a simple discrete-choice experiment (DCE). It describes the layout of the analysis dataset, types of variables contained in the dataset, and how to identify response patterns in the data indicating data quality. Model-specification options include linear models with continuous attribute levels and non-linear continuous and categorical attribute levels. Advantages and disadvantages of conditional logit, mixed logit, and latent-class analysis are discussed and illustrated using the example DCE data. Readers are provided with links to various software programs for analyzing choice data. References are provided on topics for which there currently is limited consensus and on more advanced techniques to guide readers interested in exploring choice-modeling challenges in greater depth. Supplementary materials include the simulated example data used to illustrate modeling approaches, together with R and Matlab code to reproduce the estimates shown.

Think and Choose! The Dual Impact of Label Information and Consumer Attitudes on the Choice of a Plant-Based Analog

This study explored the impact of various label information (extrinsic attributes) and sociodemographic and attitudinal factors (intrinsic attributes) on Brazilian consumer choices, using simulated traditional and plant-based muçarela cheese as the model product. The research was conducted in two phases: the first involved a structured questionnaire assessing attitudinal dimensions such as Health Consciousness, Climate Change, Plant-based Diets, and Food Neophobia, along with sociodemographic data collection. The second phase comprised a discrete choice experiment with (n = 52) and without (n = 509) eye tracking. The term "Cheese" on labels increased choice probability by 7.6% in a general survey and 15.1% in an eye tracking study. A prolonged gaze at "Cheese" did not affect choice, while more views of "Plant-based product" slightly raised choice likelihood by 2.5%. Repeatedly revisiting these terms reduced the choice probability by 3.7% for "Cheese" and 1% for "Plant-based product". Nutritional claims like "Source of Vitamins B6 and B12" and "Source of Proteins and Calcium" boosted choice probabilities by 4.97% and 5.69% in the general and 8.4% and 6.9% in the eye-tracking experiment, respectively. Conversely, front-of-package labeling indicating high undesirable nutrient content decreased choice by 13% for magnifying presentations and 15.6% for text. In a plant-based subsample, higher environmental concerns and openness to plant-based diets increased choice probabilities by 5.31% and 5.1%, respectively. These results highlight the complex dynamics between label information, consumer understanding, and decision-making.

Men's perceptions and perceived acceptability of their female partner's use of self-administered intravaginal therapies for treatment of cervical precancer in Kenya

Background

Cervical cancer continues to be a major health issue in low- and middle-income countries (LMICs). Despite increasing access to screening, access to precancer treatment remains a significant challenge in LMICs, highlighting a need for innovative, accessible and resource-appropriate treatment approaches, including self-administered therapies.

Methods

A cross-sectional mixed-methods study was conducted among men aged 25-65 with a current female partner in Kisumu County, Kenya. Participants were sequentially recruited and surveyed to evaluate their understanding of human papillomavirus and cervical cancer, their views on screening and treatment and their attitudes toward self-administered therapies. Focus group discussions (FGDs) with a subset of the survey participants further explored their treatment preferences and perceptions.

Results

Two hundred fourteen men participated in the survey, and 39 men participated in FGDs. The median age was 39 years, and 51% had a primary school education or less. Most (96%) were in a committed relationship, and 74% earned $10 or less daily. There was strong support for self-administered topical therapies, with 98% willing to support their partners using such treatments if available. Additionally, most participants were open to supporting necessary abstinence or condom use, though 76% believed their partners might hesitate to request condom use. When given an option, most preferred their partner to self-administer such therapies at home compared to provider administration at a health facility, citing convenience, cost-effectiveness and privacy. Preferences varied between two potential therapies, 5-Fluorouracil and Artesunate, based on their administration frequency, duration and abstinence requirements. Qualitative findings largely supported the quantitative analysis.

Conclusion

The study demonstrates strong support for self-administered topical therapies for cervical precancer among Kenyan men. Additional research on acceptability, feasibility and efficacy in different LMICs could pave the way for these therapies to help bridge current cervical precancer treatment gaps in these settings.

Using stated preference methods to facilitate knowledge translation in implementation science

Enhancing the arsenal of methods available to shape implementation strategies and bolster knowledge translation is imperative. Stated preference methods, including discrete choice experiments (DCE) and best-worst scaling (BWS), rooted in economics, emerge as robust, theory-driven tools for understanding and influencing the behaviors of both recipients and providers of innovation. This commentary outlines the wide-ranging application of stated preference methods across the implementation continuum, ushering in effective knowledge translation. The prospects for utilizing these methods within implementation science encompass (1) refining and tailoring intervention and implementation strategies, (2) exploring the relative importance of implementation determinants, (3) identifying critical outcomes for key decision-makers, and 4) informing policy prioritization. Operationalizing findings from stated preference research holds the potential to precisely align health products and services with the requisites of patients, providers, communities, and policymakers, thereby realizing equitable impact.

Estimating preferences and willingness to pay for pharmacogenetic testing in populations who are medically underserved: a discrete choice experiment

Background: The implementation of pharmacogenetic (PGx) testing may contribute to health disparities if access to testing is inequitable, as medically underserved patients are prescribed higher rates of drugs with PGx guidelines and often experience the benefits of emerging health technologies last. Limited research has evaluated potential implementation of PGx testing in populations who are medically underserved and none have evaluated their preferences regarding PGx test characteristics and cost. Our study endeavored to assess the willingness to pay for PGx testing and key PGx test preferences in a nationwide cohort of medically underserved respondents. Methods: A survey was developed to assess willingness to pay and preferences for PGx testing through a discrete choice experiment (DCE). Five attributes of PGx tests were included in the DCE: doctor recommendation, wait time, number of actionable results, benefit of the test (avoid a side effect or address a health problem), and out-of-pocket cost. A convenience sample of U.S. adults with an average yearly household income of $42,000 or less was collected utilizing an online survey fielded by Qualtrics Research Services (Provo, UT). For the DCE analysis, conditional logit and mixed-logit regression models were utilized to determine relative utility of attributes and levels, conditional relative importance for each attribute, and marginal willingness to pay. Results: Respondents completed the survey with an 83.1% response completion rate. Following quality control procedures, 1,060 respondents were included in the final nationwide cohort. Approximately, 82% of respondents were willing to pay less than $100 for PGx testing, and a strong price ceiling was identified at $200. Out-of-pocket cost was the attribute identified as having the greatest relative importance on choice, while wait time had the lowest importance. Greater utility was observed if the PGx test was doctor recommended, had a higher number of actionable results, and resolved major or minor health problems compared with avoiding side effects. Conclusion: This first-of-its-kind study provides important insights into the willingness to pay for PGx testing and PGx test preferences of a large medically underserved population. Applying these findings can potentially lead to improvements in the successful implementation of PGx testing in this population.

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).

Men's perceptions and perceived acceptability of their female partner's use of self-administered intravaginal therapies for treatment of cervical precancer in Kenya

Background

Cervical cancer continues to be a major health issue in low- and middle-income countries (LMICs). Despite increasing access to screening, access to precancer treatment remains a significant challenge in LMICs, highlighting a need for innovative, accessible, and resource-appropriate treatment approaches, including self-administered therapies.

Methods

A cross-sectional mixed-methods study was conducted among men aged 25-65 with a current female partner in Kisumu County, Kenya. Participants were sequentially recruited and surveyed to evaluate their understanding of HPV and cervical cancer, their views on screening and treatment, and their attitudes toward self-administered therapies. Focus group discussions with a subset of the survey participants further explored their treatment preferences and perceptions.

Results

Two hundred fourteen men participated in the survey, and 39 men participated in focus group discussions. The median age was 39 years, and 51% had a primary school education or less. Most (96%) were in a committed relationship, and 74% earned $10 or less daily. There was strong support for self-administered topical therapies, with 98% willing to support their partners using such treatments if available. Additionally, most participants were open to supporting necessary abstinence or condom use, though 76% believed their partners might hesitate to request condom use. When given an option, most preferred their partner to self-administer such therapies at home compared to provider administration at a health facility, citing convenience, cost-effectiveness, and privacy. Preferences varied between two potential therapies, 5-Fluorouracil (5FU) and Artesunate, based on their administration frequency, duration, and abstinence requirements. Qualitative findings largely supported the quantitative analysis.

Conclusions

The study demonstrates strong support for self-administered topical therapies for cervical precancer among Kenyan men. Additional research on acceptability, feasibility, and efficacy in different LMICs could pave the way for these therapies to help bridge current cervical precancer treatment gaps in these settings.

Which factors drive the choice of the French-speaking Quebec population towards a COVID-19 vaccination programme: A discrete-choice experiment

OBJECTIVES

The aims of this study were to elicit preferences about the coronavirus disease 2019 (COVID-19) vaccine campaign in the general French-speaking adult Quebec population and to highlight the characteristics of the vaccine campaign that were of major importance.

METHODS

A discrete-choice experiment (DCE) was conducted between April and June 2021, in Quebec, Canada. A quota sampling method by age, gender and educational level was used to achieve a representative sample of the French-speaking adult population. The choice-based exercise was described by seven attributes within a vaccine campaign scenario. A mixed logit (MXL) model and a latent class logit (LCL) model were used to derive utility values. Age, gender, educational level, income and fear of COVID-19 were included as independent variables in the LCL.

RESULTS

A total of 1883 respondents were included for analysis, yielding 22,586 choices. From these choices, 3425 (15.16%) were refusals. In addition, 1159 (61.55%) individuals always accepted any of the vaccination campaigns, while 92 individuals (4.89%) always refused vaccine alternatives. According to the MXL, relative weight importance of attributes was effectiveness (32.50%), risk of side effects (24.76%), level of scientific evidence (22.51%), number of shots (15.73%), priority population (3.60%), type of vaccine (0.61%), and vaccination location (0.28%). Four classes were derived from the LCL model and attributes were more or less important according to them. Class 1 (19.8%) was more concerned about the effectiveness (27.99%), safety (24.22%) and the number of shots (21.82%), class 2 (55.3%) wanted a highly effective vaccine (40.16%) and class 3 (17.6%) gave high value to the scientific evidence (42.00%). Class 4 preferences (7.4%) were more balanced, with each attribute having a relative weight ranging from 1.84% (type of vaccine) to 21.32% (risk of side effects). Membership posterior probabilities to latent classes were found to be predicted by individual factors such as gender, annual income or fear of COVID-19.

CONCLUSIONS

Vaccination acceptance relies on multiple factors. This study allowed assessment of vaccination-specific issues through a choice-based exercise and description of factors influencing this choice by segmenting the sample and drawing profiles of individuals. Moreover, besides effectiveness and safety, a major point of this study was to show the importance given by the general population to the level of scientific evidence surrounding vaccines.

PATIENT OR PUBLIC CONTRIBUTION

A small group of citizens was involved in the conception, design and interpretation of data. Participants of the DCE were all from the general population.

Impact of animal origin of milk, processing technology, type of product, and price on the Boursin cheese choice process: Insights of a discrete choice experiment and eye tracking

Boursin is a versatile semisoft cheese that can be made with different types of milk. While widely distributed in the European and North American markets, Boursin is produced to a limited extent in Brazil despite its commercial potential. This scenario encourages consumer-oriented product development studies by facilitating data collection with less bias and fewer product preconceptions, thus favoring the investigation of technological aspects of commercial interest. This study evaluates Brazilians' perceptions regarding different versions of Boursin cheese, with the aim of gaining a better understanding of the factors related to choosing cheese. Four attributes related to cheese production were evaluated at three different levels using two discrete choice experiments: one with eye tracking (n = 20) and another without (n = 312). These attributes included "type of processing" (evaluating pasteurization, ohmic heating, and preparation with raw milk), "animal origin of milk" (cow, goat, or buffalo milk), "type of product" (traditional, light, and lactose-free versions), and "price" (10.99, 13.99, and 16.99 BRL). Information regarding processing with ohmic heating did not affect the probability of Boursin being chosen, suggesting that consumers are open to using this emerging technology in Boursin cheese. However, information on being made with goat, buffalo, and raw milk negatively impacted the probability of choice, along with the price of 16.99 BRL. The frequency of cheese consumption and the level of health concerns also affected the probability of choosing the product. PRACTICAL APPLICATION: Identifying the relationship between extrinsic attributes presented on the Boursin cheese label and the consumer's choice process can aid the communication process with the target audience and reveal how some technological issues of interest to manufacturers are perceived. This study indicates how information regarding the animal origin of the milk (cow, goat, and buffalo), the type of processing (pasteurization, ohmic heating, and raw milk), the version of the product (traditional, light, and lactose-free), and the price affect the consumer choice process. The results provide insights that can be applied to product processing and designing labels.

Eliciting preferences for cancer screening tests: Comparison of a discrete choice experiment and the threshold technique

OBJECTIVE

To compare results of three preference elicitation methods for a cancer screening test.

METHODS

Participants (undergraduate students) completed a discrete choice experiment (DCE) and a threshold technique (TT) task. Accuracy (false positives, false negatives), benefits (lives saved), and cost for a cancer screening test were used as attributes in the DCE and branching logic for the TT. Participants were also asked a direct elicitation question regarding a hypothetical screening test for breast (women) or prostate (men) cancer without mortality benefit. Correlations assessed the relationship between DCE and TT thresholds. Thresholds were standardized and ranked for both methods to compare. A logistic regression used the thresholds to predict results of the direct elicitation.

RESULTS

DCE and TT estimates were not meaningfully correlated (max ρ = 0.17). Participant rankings of attributes matched only 20% of the time (58/292). Neither method predicted preference for being screened (ps > 0.21).

CONCLUSIONS

The DCE and TT yielded different preference estimates (and rank orderings) for the same participant. Neither method predicted patients' desires for a screening test.

PRACTICE IMPLICATIONS

Clinicians, patients, policy makers, and researchers should be aware that patient preference results may be sensitive to the method of eliciting preferences.

Assessing preferences for HIV pre-exposure prophylaxis (PrEP) delivery services via online pharmacies in Kenya: protocol for a discrete choice experiment

INTRODUCTION

Pre-exposure prophylaxis (PrEP) is highly effective at preventing HIV acquisition, but coverage remains low in high prevalence settings. Initiating and continuing PrEP via online pharmacies is a promising strategy to expand PrEP uptake but little is known about user preferences for this strategy. We describe methods for a discrete choice experiment (DCE) to assess preferences for PrEP delivery from an online pharmacy.

METHODS AND ANALYSIS

This cross-sectional study is conducted in Nairobi, Kenya, in partnership with MYDAWA, a private online pharmacy retailer with a planned sample size of >400 participants. Eligibility criteria are: ≥18 years, not known HIV-positive and interested in PrEP. Initial DCE attributes and levels were developed via literature review and stakeholder meetings. We conducted cognitive interviews to assess participant understanding of the DCE survey and refined the design. The final DCE used a D-efficient design and contained four attributes: PrEP eligibility assessment, HIV test type, clinical consultation type and user support options. Participants are presented with eight scenarios consisting of two hypothetical PrEP delivery services. The survey was piloted among 20 participants before being advertised on the MYDAWA website on pages displaying products indicating HIV risk (eg, HIV self-test kits). Interested participants call a study number and those screened eligible meet a research assistant in a convenient location to complete the survey. The DCE will be analysed using a conditional logit model to assess average preferences and mixed logit and latent class models to evaluate preference heterogeneity among subgroups.

ETHICS AND DISSEMINATION

This study was approved by the University of Washington Human Research Ethics Committee (STUDY00014011), the Kenya Medical Research Institute, Nairobi County (EOP/NMS/HS/128) and the Scientific and Ethics Review Unit in Kenya (KEMRI/RES/7/3/1). Participation in the DCE is voluntary and subject to completion of an electronic informed consent. Findings will be shared at international conferences and peer-reviewed publications, and via engagement meetings with stakeholders.

Preferences for support in managing symptoms of an asthma flare-up: a pilot study of a discrete choice experiment

Objective: Information on the preferences of people with asthma for support in managing a flare-up can inform service design which may facilitate appropriate help-seeking. To date, little is known about support preferences for managing a flare-up. The aim of this study was to develop and pilot a discrete choice experiment (DCE) to elicit the preferences of people with asthma with regards to support in managing a flare-up.Methods: Steps in developing the DCE included identification and selection of attributes and levels of the support services, construction of choice tasks, experimental design, construction of DCE instrument, and pretest (n=16) and pilot (n=38) studies of the DCE instrument. A multinomial logit model was used to examine the strength and direction of the six attributes in the pilot study.Results: Our results indicate that from a patient perspective, having a healthcare professional that listens to their concerns was the most valued attribute of support in asthma flare-up management. The other features of support valued by participants were timely access to consultation, a healthcare professional with knowledge of their patient history, a specialist doctor and face-to-face communication. Having a written action plan was the least valued attribute.Conclusions: Our findings suggest patient preference for a model of support in managing their symptoms which includes timely, face-to-face access to a healthcare professional that knows them and listens to their concerns. The findings of the pilot study need to be verified with a larger sample and using models to account for preference heterogeneity.

Patient preferences for atopic dermatitis medications in the UK, France and Spain: a discrete choice experiment

OBJECTIVES

We aimed to quantify patient preferences for efficacy, safety and convenience features of atopic dermatitis (AD) treatments.

DESIGN AND SETTING

Online discrete choice experiment survey.

PARTICIPANTS

Adults in the UK, France and Spain who had used AD treatments during the past 2 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

Preferences for attributes were analysed using a multinomial logit model. Willingness to make trade-offs was expressed as the maximum acceptable decrease (MAD) in the probability of achieving clear/almost clear skin at week 16.

RESULTS

The survey was completed by 404 patients (44.1±12.0 years; 65% women; 64% moderate/severe eczema). Most patients (68%) had no prior experience of using self-injectable treatments for AD or any other illness. Participants most valued increasing the chance of achieving a meaningful reduction in itch at week 16 from 20% to 50%, followed by reducing the risks of serious infections from 6% to 0% and of eye inflammation from 20% to 0%. Participants were willing to accept a decrease in the possibility of achieving clear/almost clear skin to obtain a treatment that can be paused (MAD=24.1%), requires occasional check-ups (MAD=16.1%) or no check-ups (MAD=20.9%) over frequent check-ups, is administered as a one time per day or two times per day oral pill versus a subcutaneous injection every 2 weeks (MAD=16.6%), has a 2-day over 2-week onset of action (MAD=11.3%), and can be used for flare management (MAD=5.8%).

CONCLUSIONS

Although patients with AD most valued treatment benefits and risks, they were willing to tolerate reduced efficacy to obtain a rapid onset, oral administration, less frequent monitoring and a treatment that can be paused. Understanding patients' preferences for AD therapies, including new targeted therapies, can aid shared decision-making between clinicians and patients and support health technology assessments.

Public Preferences for Policies to Promote COVID-19 Vaccination Uptake: A Discrete Choice Experiment in The Netherlands

OBJECTIVES

The COVID-19 pandemic forms an unprecedented public health, economic, and social crisis. Uptake of vaccination is critical for controlling the pandemic. Nevertheless, vaccination hesitancy is considerable, requiring policies to promote uptake. We investigate Dutch citizens' preferences for policies that aim to promote vaccination through facilitating choice of vaccination, profiling it as the norm, making vaccination more attractive through rewards, or punishing people who reject vaccination.

METHODS

We conducted a discrete choice experiment in which 747 respondents were asked to choose between policies to promote vaccination uptake and their impacts on the number of deaths, people with permanent health problems, households with income loss, and a tax increase.

RESULTS

Respondents generally had a negative preference for policies that promote vaccination. They particularly disliked policies that punish those who reject the vaccine and were more favorable toward policies that reward vaccination, such as awarding additional rights to vaccinated individuals through vaccination passports. Respondents who reject vaccination were in general much more negative about the policy options than respondents who consider accepting the vaccine. Nevertheless, vaccination passports are supported by both respondents who accept the vaccine, those who reject vaccination, and those who are unsure about vaccination.

CONCLUSIONS

This study provides concrete directions for governments attempting to increase the vaccination uptake in ways that are supported by the public. Our results could encourage policy makers to focus on policy options that make vaccination easier and reward people who take the vaccine, as especially the implementation of vaccination passports was supported.

Preferences for HIV Testing Services and HIV Self-Testing Distribution Among Migrant Gay, Bisexual, and Other Men Who Have Sex With Men in Australia

Background

In Australia, undiagnosed HIV rates are much higher among migrant gay, bisexual, or other men who have sex with men (GBMSM) than Australian-born GBMSM. HIV self-testing is a promising tool to overcome barriers to HIV testing and improve HIV testing uptake among migrant GBMSM. We compared the preferences for HIV testing services, including HIV self-testing, among migrant and Australian-born GBMSM.

Methods

Preferences were assessed via two discrete choice experiments (DCEs). Participants were recruited between December 2017 and January 2018 using online and offline advertising and randomly assigned to complete one of two online DCE surveys. Migrant GBMSM were classified as being born in a country with a reciprocal healthcare agreement (RHCA) with Australia (providing free or subsided health care) or not. Latent class analysis and mixed logit models were used to explore heterogeneity in preferences.

Findings

We recruited 1,606 GBMSM, including 583 migrant men of whom 419 (72%) were born in non-RHCA countries. Most participants preferred a free or cheap oral test with higher accuracy and a shorter window period to facilitate early detection of infections. Cost was more important for men born in non-RHCA countries than for men from RHCA countries or Australia. All groups preferred accessing kits through online distributers or off the shelf purchasing from pharmacies. Men born in RHCA countries least preferred accessing HIV self-testing kits from a medical clinic, while more than half of men from non-RHCA countries most preferred sourcing kits from a clinic. Sex-on-premises venues were the least preferred location to access test kits among all groups. In addition, two latent class analyses explored heterogeneity in preferences among men from non-RHCA countries and we found four latent classes for HIV testing services and two latent classes for HIVST distribution.

Interpretation

Our findings emphasise the need for high-performing and low-cost HIV self-testing kits that are accessible from a variety of distribution points as a component of Australia's HIV response, especially for those who do not have access to free or subsidised health care in Australia.

GP preferences for discussing statin deprescribing: a discrete choice experiment

BACKGROUND

Deprescribing (planned, supervised discontinuation) of statins may be considered in some older persons. This should be carefully discussed between patients and GPs.

METHODS

We examined GPs' preferences for discussing statin deprescribing by conducting a discrete choice experiment (DCE) sent to a stratified random sample of 500 Danish GPs. Attributes were discussion topics (goals of therapy, evidence on statin use in older persons, adverse effects, uncertainty), and levels were the depth of the discussion topics (none, brief, detailed). We used mixed logistic regression for analysis.

RESULTS

A total of 90 GPs (mean age 48, 54% female, mean 11 years in practice) completed the DCE. There was substantial variability in which topics GPs felt were most important to discuss; however, GPs generally preferred a brief discussion of topics to detailed ones. The most important discussion topic appeared to be goals of therapy. GPs felt a brief discussion of evidence was important but not a detailed one, while adverse effects and uncertainty were felt to be less important to discuss.

CONCLUSION

GPs prefer brief discussions on a range of topics when discussing statin deprescribing but have differing views on which topics are most important. For deprescribing communication tools to be useful to GPs in clinical practice, they may need to focus on brief coverage of the range of relevant topics. Future work should evaluate patient preferences, and opportunities for education and training for GPs on deprescribing communication.

Methods for Conducting Stated Preference Research with Children and Adolescents in Health: A Scoping Review of the Application of Discrete Choice Experiments

BACKGROUND

Discrete choice experiments (DCEs) are a common method used to describe and quantitatively assess preferences in health applications. Increasingly, DCEs have been used to elicit preferences from children and adolescents and generate evidence to inform policies affecting this population.

OBJECTIVES

The aim of this review was to summarize and describe the application of DCEs conducted with children and adolescents and describe author-reported age-specific considerations in design, implementation, and analysis.

METHODS

A scoping review was conducted using a 'pearl-growing' technique whereby the reference lists of existing systematic reviews of DCEs were used to identify potential studies conducted with children or adolescents as respondents published between 1990 and 2017. This list was supplemented with an updated electronic search using the same strategy as the initial reviews to identify studies from 2017 to 2020.

RESULTS

Of 480 studies identified, 19 were included; topics included vaccines (32%), drugs/medical devices (26%), treatment or health promotion interventions/programs (21%), warning labels on cigarettes/nicotine products (10%), and preferences for physical activity and healthy food choices (10%). The youngest reported age for independent DCE completion was 8 years. Approaches to assessing validity and reliability of choices were consistent with best practices for the conduct of DCEs. Reported age-specific considerations included use of visual aids, age-appropriate language, reducing task complexity and cognitive burden, and exploration of interpretation of willingness-to-pay.

CONCLUSION

The number of DCEs conducted with children and adolescents has increased in recent years. Detailed explanation of why reported age-specific considerations were necessary, how they could be used to interpret results, or to understand the appropriateness of this methodology for different age groups was limited. Despite a recognition of the need for special consideration when conducting DCEs in this population, the unique issues in the context of age-specific considerations are largely unexplored, and further research is required. Moving forward, stated preference research conducted with children and adolescents should report in more detail methods of recruitment, results of validity assessments, and provide specific reflection on the extent to which modeled results are consistent with expectations and underlying theory.

Patient preferences for medication adherence financial incentive structures: A discrete choice experiment

BACKGROUND

Medication adherence for chronic conditions continues to be a challenge for patients. Patient incentives for medication adherence may help. Financial incentives delivered at the point of care may act as cues for medication-taking behavior.

OBJECTIVES

The purpose of this study was to investigate patient preferences for specific structures of financial medication adherence incentives that could feasibly be delivered at the point of care.

METHODS

A discrete choice experiment (DCE) was performed using a national online survey. Study participants were adults who self-reported taking at least one prescription medication for one or more chronic conditions. Following an orthogonal design generated in SAS, the DCE included 32 paired-choice tasks. Data were analyzed using mixed logit models and stratified on participants' income level.

RESULTS

In the full cohort (n = 933), form of financial reward (such as gift-card or cash) was 1.02 times as important to participants as the probability of incentive receipt, 1.58 times as important as monetary value, and 1.93 times as important as timing of receipt. Participants were willing to give up $31.04 of an incentive's monetary value (95% CI = $27.11-$34.98) to receive the incentive 5 months sooner (1-month vs. 6-month time-lag); $60.79 (95% CI = $53.19-$68.39) for probability of receipt to increase from a 1 out of 100 chance to a 1 out of 20 chance; and $10.52 (95% CI = $6.46-$14.58) to receive an incentive in the form of a Visa® gift-card instead of grocery store voucher. These patterns of trade-offs between attributes were generally consistent among participants with lower and higher income.

CONCLUSIONS

Regardless of socioeconomic status, patient preferences for financial medication adherence incentives delivered at the point of care may be most heavily influenced by incentive form and probability of receipt. This has implications for designing medication adherence programs in terms of incentive sustainability, patient engagement, plan star ratings, and patient outcomes.

Utilising Patient and Public Involvement in Stated Preference Research in Health: Learning from the Existing Literature and a Case Study

Publications reporting discrete choice experiments of healthcare interventions rarely discuss whether patient and public involvement (PPI) activities have been conducted. This paper presents examples from the existing literature and a detailed case study from the National Institute for Health Research-funded PATHWAY programme that comprehensively included PPI activities at multiple stages of preference research. Reflecting on these examples, as well as the wider PPI literature, we describe the different stages at which it is possible to effectively incorporate PPI across preference research, including the design, recruitment and dissemination of projects. Benefits of PPI activities include gaining practical insights from a wider perspective, which can positively impact experiment design as well as survey materials. Further benefits included advice around recruitment and reaching a greater audience with dissemination activities, amongst others. There are challenges associated with PPI activities; examples include time, cost and outlining expectations. Overall, although we acknowledge practical difficulties associated with PPI, this work highlights that it is possible for preference researchers to implement PPI across preference research. Further research systematically comparing methods related to PPI in preference research and their associated impact on the methods and results of studies would strengthen the literature.

Preferences of healthcare providers for capitation payment in Kenya: a discrete choice experiment

Provider payment mechanisms (PPMs) are important to the universal health coverage (UHC) agenda as they can influence healthcare provider behaviour and create incentives for health service delivery, quality and efficiency. Therefore, when designing PPMs, it is important to consider providers' preferences for PPM characteristics. We set out to uncover senior health facility managers' preferences for the attributes of a capitation payment mechanism in Kenya. We use a discrete choice experiment and focus on four capitation attributes, namely, payment schedule, timeliness of payments, capitation rate per individual per year and services to be paid by the capitation rate. Using a Bayesian efficient experimental design, choice data were collected from 233 senior health facility managers across 98 health facilities in seven Kenyan counties. Panel mixed multinomial logit and latent class models were used in the analysis. We found that capitation arrangements with frequent payment schedules, timelier disbursements, higher payment rates per individual per year and those that paid for a limited set of health services were preferred. The capitation rate per individual per year was the most important attribute. Respondents were willing to accept an increase in the capitation rate to compensate for bundling a broader set of health services under the capitation payment. In addition, we found preference heterogeneity across respondents and latent classes. In conclusion, these attributes can be used as potential targets for interventions aimed at configuring capitation to achieve UHC.

Patient-centered benefit-risk analysis of transcatheter aortic valve replacement

Background: Aortic stenosis (AS) treatments include surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR). Choosing between SAVR and TAVR requires patients to trade-off  benefits and risks. The objective of this research was to determine which  TAVR and SAVR outcomes patients consider important, collect quantitative data about how patients weigh benefits and risks, and evaluate patients' preferences for SAVR or TAVR. Methods: Patients  were recruited from advocacy organization databases. Patients self-reported as being diagnosed with AS, and as either having received AS treatment or as experiencing AS-related physical activity limitations. An online adapted swing weighting (ASW) method - a pairwise comparison of attributes - was used to elicit attribute trade-offs from 219 patients. Survey data were used to estimate patients' weights for AS treatment attributes, which were incorporated into a quantitative benefit-risk analysis (BRA) to evaluate patients' preferences for TAVR and SAVR. Results: On average, patients put greater value on attributes that favored TAVR than SAVR. Patients' valuation of the lower mortality rate, reduced procedural invasiveness, and quicker time to return to normal quality of life associated with TAVR, offset their valuation of the time over which SAVR has been proven to work. There was substantial heterogeneity in patients' preferences. This was partly explained by age, with differences in preference observed between patients <60 years to those ≥60 years. A Monte Carlo Simulation found that 79.5% of patients prefer TAVR. Conclusions: Most AS patients are willing to tolerate sizable increases in clinical risk in exchange for the benefits of TAVR, resulting in a large proportion of patients preferring TAVR to SAVR. Further work should be undertaken to characterize the heterogeneity in preferences for AS treatment attributes. Shared decision-making tools based on attributes important to patients can support patients' selection of the procedure that best meets their needs.

Patient-centered benefit-risk analysis of transcatheter aortic valve replacement

Background: Aortic stenosis (AS) treatments include surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR). Choosing between SAVR and TAVR requires patients to trade-off  benefits and risks. The objective of this research was to determine which  TAVR and SAVR outcomes patients consider important, collect quantitative data about how patients weigh benefits and risks, and evaluate patients’ preferences for SAVR or TAVR.

Methods: Patients  were recruited from advocacy organization databases. Patients self-reported as being diagnosed with AS, and as either having received AS treatment or as experiencing AS-related physical activity limitations. An online adapted swing weighting (ASW) method – a pairwise comparison of attributes – was used to elicit attribute trade-offs from 219 patients. Survey data were used to estimate patients’ weights for AS treatment attributes, which were incorporated into a quantitative benefit-risk analysis (BRA) to evaluate patients’ preferences for TAVR and SAVR.

Results: On average, patients put greater value on attributes that favored TAVR than SAVR. Patients’ valuation of the lower mortality rate, reduced procedural invasiveness, and quicker time to return to normal quality of life associated with TAVR, offset their valuation of the time over which SAVR has been proven to work. There was substantial heterogeneity in patients’ preferences. This was partly explained by age, with differences in preference observed between patients <60 years to those ≥60 years. A Monte Carlo Simulation found that 79.5% of patients prefer TAVR.

Conclusions: Most AS patients are willing to tolerate sizable increases in clinical risk in exchange for the benefits of TAVR, resulting in a large proportion of patients preferring TAVR to SAVR. Further work should be undertaken to characterize the heterogeneity in preferences for AS treatment attributes. Shared decision-making tools based on attributes important to patients can support patients’ selection of the procedure that best meets their needs.