Development of a Discrete-Choice Experiment (DCE) to Elicit Adolescent and Parent Preferences for Hypodontia Treatment

Retention of Doctors and Dentists to Serve in Remote Areas in Indonesia: A Discrete Choice Experiment

Introduction

Retaining doctors and dentists in remote areas of Indonesia remains a national priority of the Indonesian government. The purpose of this study was to analyze the interventions for retention of doctors and dentists in remote areas using the discrete choice experiment (DCE) approach.

Materials and Methods

A DCE was conducted to investigate preferences of doctors and dentists for retention in remote areas. This research was conducted in 78 primary healthcare settings across 15 provinces in Indonesia. The conditional logit model was used to explore stated preferences for each attribute.

Results

The total number of respondents was 158, including 113 doctors and 45 dentists. In general, doctors placed the highest preference on getting priority for government scholarships to facilitate retention in remote areas (OR=5.65, p<0.001). Specifically, dentists preferred security guarantees from local government (OR = 4.87, p<0.001). Both groups valued having an official residence (OR=3.6, p<0.001) as a factor for retention in remote areas.

Conclusion

Scholarship, security guarantees, housing facilities, and medical facilities were the most considered factors for retaining doctors and dentists in a remote area. This study confirms the importance of a combination of interventions in maintaining doctors and dentists in remote areas. Policy options in the form of non-financial and financial intervention packages can be combined to improve their retention.

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).

Gauging Incentive Values and Expectations (G.I.V.E.) among Blood Donors for Nonmonetary Incentives: Developing a Preference Elicitation Instrument through Qualitative Approaches in Shandong, China

INTRODUCTION

Blood donation rates remain suboptimal in China necessitating the reform of the current nonmonetary incentive system to motivate donors. This study aims to identify relevant attributes and levels for nonmonetary incentives in repeated blood donation and provide insights for the development of preference elicitation instruments.

METHODS

A qualitative research process was employed, including a literature review, in-depth interviews, attribute ranking, focus group discussions, and cognitive interviews, to identify potential nonmonetary incentives for blood donation. The identified attributes were then incorporated into a discrete choice experiment (DCE) study design. The comprehensibility and acceptability of the DCE questionnaire were assessed through cognitive interviews and a pilot study.

RESULTS

Five nonmonetary incentive attributes were identified, including health examination, designated blood recipient, honor for donation, travel time, and gifts. The designated recipient of blood donation emerged as the most important motivator for future donations among the participants. The cognitive interviews and pilot study provided valuable feedback for refining the DCE questionnaire and ensuring its reliability.

CONCLUSION

This study contributes to the understanding of nonmonetary incentives for blood donation and highlights the importance of designated blood recipients, health examination, honor for donation, travel time, and gifts as potential motivators. Moreover, it emphasizes the value of employing cognitive interviews and pilot studies in the development and refinement of DCE questionnaires, ultimately enhancing the reliability and validity of preference elicitation instruments.

How can we elicit health workers' preferences for measures to reduce informal payments? A mixed methods approach to developing a discrete choice experiment in Tanzania

OBJECTIVE

While discrete choice experiments (DCEs) have been used in other fields as a means of eliciting respondent preferences, these remain relatively new in studying corrupt practices in the health sector. This study documents and discusses the process of developing a DCE to inform policy measures aimed at addressing informal payments for healthcare in Tanzania.

DESIGN

A mixed methods design was used to systematically develop attributes for the DCE. It involved five stages: a scoping literature review, qualitative interviews, a workshop with health providers and managers, expert review and a pilot study.

SETTING

Dar es Salaam and Pwani regions in Tanzania.

PARTICIPANTS

Health workers and health managers.

RESULTS

A large number of factors were identified as driving informal payments in Tanzania and thus represent potential areas for policy intervention. Through iterative process involving different methods (qualitative and quantitative) and seeking consensus views by diverse actors, we derived six attributes for a DCE: mode of payment, supervision at the facility level, opportunity for private practice, awareness and monitoring, disciplinary measures against informal payments and incentive payment for staff if a facility has less informal payments. 12 choice sets were generated and piloted with 15 health workers from 9 health facilities. The pilot study revealed that respondents could easily understand the attributes and levels, answered all the choice sets and appeared to be trading between the attributes. The results from the pilot study had expected signs for all attributes.

CONCLUSIONS

We elicited attributes and levels for a DCE to identify the acceptability and preferences of potential policy interventions to address informal payments in Tanzania through a mixed-methods approach. We argue that more attention is needed to the process of defining attributes for the DCE, which needs to be rigorous and transparent in order to derive reliable and policy-relevant findings.

Stakeholder Engagement in Designing Attributes for a Discrete Choice Experiment With Policy Implications: An Example of 2 Swiss Studies on Healthcare Delivery

OBJECTIVES

The use of discrete choice experiments (DCEs) has become increasingly popular in health policy development by involving and analyzing the preferences of target groups for different aspects of the policy intervention. In this article, we aim to contribute to the standardization of the process of attribute and attribute level development for DCEs with policy relevance. To do so, we propose and empirically illustrate a framework tool for the development and reporting of attributes and attribute levels, with the systematic engagement of relevant stakeholders.

METHODS

The framework tool was kept general to allow its use as a standard reporting approach on the development process of a DCE, involving relevant stakeholders at each stage. The proposed 3-stage process consists of (1) collection, (2) selection, and (3) refinement of the DCE attributes and attribute levels. The application of the framework tool is illustrated by 2 projects, Health2040 and COCONUTS-both concerning the preferences of the Swiss population for the future organization of healthcare.

RESULTS

By engaging stakeholders, we identified and included attributes and attribute levels that would not have been identified solely through the existing literature. In addition, including multiple stakeholders from different professional backgrounds ensured that the selected attributes and attribute levels were policy relevant, were applicable in practice, and reflected the opinions of multiple actors in healthcare.

CONCLUSION

The proposed framework helps to strengthen the standardization of the reporting on attribute and attribute level development with stakeholder engagement and to guide future research teams designing a DCE with policy implications.

The COVID-19 vaccination decision-making preferences of elderly people: a discrete choice experiment

COVID-19 is a continuing threat to global public health security. For elderly people, timely and effective vaccination reduces infection rates in this group and safeguards their health. This paper adopted an offline Discrete Choice Experiment (DCE) to research the preference for COVID-19 vaccination amongst Chinese adults aged 50 years and above. Through multinomial logistic regression analysis, our DCE leverages five attributes-the risk of adverse reactions, protective duration, injection doses, injection period, and effectiveness-each of which is split into three to four levels. The risk of adverse reaction and the protective duration were demonstrated to be determinants of vaccination preference. Moreover, it was found that socio demographic factors like region, self-health assessment and the number of vaccinated household members can strengthen or weaken the effects of vaccine attributes. In conclusion, the preferences of the elderly population should be considered when developing COVID-19 vaccination programs for this population in China. Accordingly, the results may provide useful information for policymakers to develop tailored, effectively vaccination strategies.

How do we best engage young people in decision-making about their health? A scoping review of deliberative priority setting methods

INTRODUCTION

International organisations have called to increase young people's involvement in healthcare and health policy development. We currently lack effective methods for facilitating meaningful engagement by young people in health-related decision-making. The purpose of this scoping review is to identify deliberative priority setting methods and explore the effectiveness of these in engaging young people in healthcare and health policy decision-making.

METHODS

Seven databases were searched systematically, using MeSH and free text terms, for articles published in English before July 2021 that described the use of deliberative priority setting methods for health decision-making with young people. All titles, abstracts and full-text papers were screened by a team of six independent reviewers between them. Data extraction followed the Centre for Reviews and Dissemination guidelines. The results are presented as a narrative synthesis, structured around four components for evaluating deliberative processes: 1) representation and inclusion of diverse participants, 2) the way the process is run including levels and timing of participant engagement, 3) the quality of the information provided to participants and 4) resulting outcomes and decisions.

FINDINGS

The search yielded 9 reviews and 21 studies. The more engaging deliberative priority setting tools involved young people-led committees, mixed methods for identifying and prioritising issues and digital data collection and communication tools. Long-term and frequent contact with young people to build trust underpinned the success of some of the tools, as did offering incentives for taking part and skills development using creative methods. The review also suggests that successful priority setting processes with young people involve consideration of power dynamics, since young people's decisions are likely to be made together with family members, health professionals and academics.

DISCUSSION

Young people's engagement in decision-making about their health is best achieved through investing time in building strong relationships and ensuring young people are appropriately rewarded for their time and contribution. If young people are to be instrumental in improving their health and architects of their own futures, decision-making processes need to respect young people's autonomy and agency. Our review suggests that methods of power-sharing with young people do exist but that they have yet to be adopted by organisations and global institutions setting global health policy.

Adolescent and Parent Preferences for Hypodontia: Discrete Choice Experiment

Choosing hypodontia treatment requires young people and parents to consider a large amount of information, identify what is important to them, and make trade-offs between options. This study aimed to examine young people and parents' preferences for hypodontia treatment using discrete choice experiment (DCE). This was a cross-sectional survey of young people (12-16 y) with hypodontia of any severity, at any stage of treatment, and their parents. Participants were recruited from NHS Hospitals in England and Wales. A bespoke DCE questionnaire was developed to measure preferences for 6 attributes of hypodontia treatment (waiting time, treatment time, problems during treatment, discomfort during treatment, bite, appearance). The questionnaire was completed 1) online by young people and parents, individually or together, and 2) by child-parent dyads under observation. Preferences were analyzed using regression models. In total, 204 participants (122 young people, 56 parents, 26 dyads) completed the online questionnaire and 15 child-parent dyads completed the questionnaire under observation. The most important attribute in hypodontia treatment was improvement in appearance, but significant heterogeneity was found in preferences. Four distinct groups of participants were found: group 1 (39%): severe discomfort and problems were most important; group 2 (31%): most concerned about improvement in appearance of teeth and improvement in bite; group 3 (22%): appearance 3 times more important than any other attribute; and group 4 (9%): preferences difficult to interpret. There was variation in how child-parent dyads approached decision-making, with some negotiating joint preferences, while for others, one individual dominated. Making trade-offs in DCE tasks helped some people think about treatment and identify their preferences. Appearance is an important outcome from hypodontia treatment, but preferences vary and potential risks and functional outcome are also important to some people. There is a notable level of uncertainty in decision-making, which suggests further shared decision support would be valuable.

How much do consumers consider sustainability when purchasing a toothbrush? A discrete choice experiment

Introduction A recent resurgence of sustainability in healthcare has resulted in huge progress towards more 'eco-aware' products and their incorporation into everyday life, with home oral hygiene products being not far behind. However, it is unclear which components of sustainability consumers value or how much they are willing to pay for these.Aim To use a discrete choice experiment (DCE) to evaluate preferences for attributes such as recyclable handle materials and recyclable packaging of low-cost disposable manual toothbrushes, along with the willingness to pay (WTP) for said attributes.Methods Design and implementation of the DCE were informed by best practice guidelines. A multi-method approach was used for attribute identification and refinement. Participants were recruited through an online survey platform. Conditional logistic regression model was used to estimate participant preferences for the attributes. WTP for attributes was estimated using the ratio of the coefficient of a given attribute level to the product cost coefficient.Results A total of 326 participants took part in the survey, of which 169 were women (52%). The median age was 35 years of age. The three most influential attributes were: bamboo handles (= 0.486 and WTP = £4.85 [€5.79]), recyclable plastic handles (= 0.338, WTP = £3.37 [€4.02]) and recyclable packaging (= 0.191,WTP = £2.32 [€2.77]).Conclusion Sustainable attributes dominated consumer preference when considering the purchase of a manual disposable toothbrush. This could perhaps be due to new environmental initiatives from influential oral hygiene companies or activism.

Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment

Objective

Our objective was to develop and test a discrete choice experiment (DCE) eliciting public and patient preferences for better-coordinated care in Switzerland.

Methods

We applied a multistage mixed-methods procedure using qualitative and quantitative approaches. First, to identify attributes, we performed a review of the DCE literature in healthcare with a focus on chronic care. Next, attribute selection involved stakeholders (N = 7) from various healthcare sectors to select the most relevant and actionable attributes, followed by three organized focus groups involving the general public and patients (N = 21) to verify the selection and the clarity of the DCE tasks and explanations. Finally, we conducted an online pilot in the target population to test the survey and obtain priors for a final six tested attributes to refine the final design of the experiment.

Results

After identifying an initial 33 attributes, a final list of six attributes was selected following stakeholder involvement and the three focus groups involving the target population. At the online pilot-testing stage with 301 participants, the majority of respondents found the DCE choice tasks socially relevant for Switzerland but challenging. The quality of the answers was relatively high. Most attributes had signs matching those in the literature and focus group discussions.

Conclusion

This article will be useful to researchers designing DCEs from a broad health policy perspective. The multistage approach involving a range of stakeholders was essential for the development of a DCE that is relevant for policy makers and well-accepted by the general public and patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40271-021-00568-2.

Strategies to enhance the effects of pictorial warnings for cigarettes: results from a discrete choice experiment

AIMS

To measure the effects of changing attributes of pictorial health warning labels (HWLs) on cigarette packs in a country that has already implemented pictorial HWLs.

MEASURES

For each choice set, participants were presented with two cigarette packs and asked the following three questions: (1) 'If only these two cigarette packs were available, which would you buy?'; (2) 'Each of these two packs has warnings on the front and back about the health effects of smoking. Which of these warnings best informs you about the dangers from smoking?'; and (3) 'Which warning most makes you think about quitting smoking?'. As recommended for best practices in discrete choice experiments, each of these questions was followed by an 'opt-out' question for participants to indicate whether they really believed there was a difference between the options presented (i.e. 'Would you really choose one of them?'; 'Do you really think that either of these warnings informs you about dangers from smoking?'; or 'Do you really think that either of these warnings would make you think about quitting smoking?', respectively). Each choice set could be viewed for as long as the participant wished. For each choice question (i.e. willingness to buy, informative, motivating to quit), the pack chosen was coded as 1 and the other pack as 0, with both packs being given a value of 0 if the participant 'opted out'.

DESIGN

A within-subject discrete choice experiment that involved systematic manipulation of pictorial HWL size [75 versus 30% (current policy)]; inclusion of imagery on the back of the pack [versus none (current policy)]; and color formatting [black on yellow versus yellow on black (current policy)].

SETTING

Mexico, on-line panel.

PARTICIPANTS

Adult smokers (n = 705).

MEASUREMENTS

For each choice set, participants selected one pack as having the most informative HWL about smoking harms, the one that makes them think the most about quitting and the one they were most willing to buy. We assessed the independent and interactive effects of HWL attributes on choices.

FINDINGS

Larger HWL size on the pack front (75 versus 30%) and inclusion of a pictorial image on the pack back were both independently associated with lower willingness to buy a pack [b = -0.228, standard error (SE) = 0.023 and -0.089, SE = 0.016, respectively] and greater perception of an HWL as informative (b = 0.214, SE = 0.022, and 0.191, SE = 0.017, respectively) and motivating to quit (b = 0.251, SE = 0.023 and 0.194, SE = 0.017, respectively). HWL with black text and yellow background were perceived as less informative (b = -0.037, SE = 0.016) and less motivating to quit (b = -0.032, SE = 0.015) compared with yellow text on a black background.

CONCLUSIONS

Among adult Mexican smokers, pictorial health warning labels on cigarette packages that are larger or cover both sides of the pack appear more effective at lowering purchase intentions and increasing risk perceptions and motivation to quit than smaller health warning labels or health warning labels with imagery only on the pack front.

Attributes Used for Cancer Screening Discrete Choice Experiments: A Systematic Review

BACKGROUND

Evidence from discrete choice experiments can be used to enrich understanding of preferences, inform the (re)design of screening programmes and/or improve communication within public campaigns about the benefits and harms of screening. However, reviews of screening discrete choice experiments highlight significant discrepancies between stated choices and real choices, particularly regarding willingness to undergo cancer screening. The identification and selection of attributes and associated levels is a fundamental component of designing a discrete choice experiment. Misspecification or misinterpretation of attributes may lead to non-compensatory behaviours, attribute non-attendance and responses that lack external validity.

OBJECTIVES

We aimed to synthesise evidence on attribute development, alongside an in-depth review of included attributes and methodological challenges, to provide a resource for researchers undertaking future studies in cancer screening.

METHODS

A systematic review was conducted to identify discrete choice experiments estimating preferences towards cancer screening, dated between 1990 and December 2020. Data were synthesised narratively. In-depth analysis of attributes led to classification into four categories: test specific, service delivery, outcomes and monetary. Attribute significance and relative importance were also analysed. The International Society for Pharmacoeconomics and Outcomes Research conjoint analysis checklist was used to assess the quality of reporting.

RESULTS

Forty-nine studies were included at full text. They covered a range of cancer sites: over half (26/49) examined colorectal screening. Most studies elicited general public preferences (34/49). In total, 280 attributes were included, 90% (252/280) of which were significant. Overall, test sensitivity and mortality reduction were most frequently found to be the most important to respondents.

CONCLUSIONS

Improvements in reporting the identification, selection and construction of attributes used within cancer screening discrete choice experiments are needed. This review also highlights the importance of considering the complexity of choice tasks when considering risk information or compound attributes. Patient and public involvement and stakeholder engagement are recommended to optimise understanding of unavoidably complex choice tasks throughout the design process. To ensure quality and maximise comparability across studies, further research is needed to develop a risk-of-bias measure for discrete choice experiments.

Effects of tobacco product type and characteristics on appeal and perceived harm: Results from a discrete choice experiment among Guatemalan adolescents

Guatemala is one of the few countries where both heated tobacco products (HTPs) and electronic cigarettes (e-cigarettes) remain unregulated. We used a discrete choice experiment (DCE) administered to 2038 high school students to assess how tobacco product attributes influence their appeal among Guatemalan adolescents. Participants were randomly assigned to evaluate 4 of 32 contrasting sets, each containing 3 packs (1 of each product type). Experimental manipulations included: product type, brand, nicotine content and flavor. Participants then indicated which product they were most and least interested in trying and would be most and least harmful to their health. Conditional logistic regression models were used to assess the impact of product characteristics on choice. Product type accounted for almost 90% of variation in choices. Respondents were less interested in trying HTPs (B = -0.93; p < 0.001) and viewed them as more harmful (B = 2.77; p < 0.001) compared to cigarettes. They were more interested in trying e-cigarettes (B = 1.22; p < 0.001), which were also perceived as less harmful (B = -1.47; p < 0.001) compared to cigarettes. Products without nicotine were of more interest for trying (B = 0.14; p < 0.001) and perceived as more harmful (B = 0.20; p < 0.001) than those with. Students were more interested in trying a flavor compared to regular tobacco and among the flavors, berry was the highest rated one (B = 0.28; p < 0.001). Finally, in this country with weak tobacco control, e-cigarettes appear to be more appealing and perceived as less harmful than HTPs and cigarettes. Packaging and flavoring regulations are urgently needed on these products as they are a marketing strategy targeting adolescents.

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.

A Protocol for Developing a Discrete Choice Experiment to Elicit Preferences of General Practitioners for the Choice of Specialty

OBJECTIVES

Discrete choice experiment (DCE) has been increasingly used in studies investigating preferences of the health workforce. This pilot study aimed to provide a comprehensive protocol for design and quality assessment of a DCE to elicit preferences of general practitioners for the choice of specialty.

METHODS

We conducted 3 rigorous qualitative studies, including a review of literature, qualitative interviews, and focus group discussion to develop attributes and levels of the DCE. Then a D-efficient fractional factorial design was applied to generate choice tasks and to block them into 4 equal versions using SAS software. Two hundred and forty general practitioners participated in a pilot study conducted to evaluate the quality of the instrument using 7 tests.

RESULTS

The qualitative studies resulted in the development of 8 attributes and 24 levels. Experimental design led to the generation of 36 choice tasks divided into 4 blocks. The pilot study revealed that the instrument has validity and reliability and also indicated that the design is comprehensible and feasible.

CONCLUSIONS

This study provided an integrated, comprehensive framework for development and quality assessment of a DCE that could be used in other studies. The pilot study indicated that the instrument is of sufficient quality because it was developed using rigorous qualitative studies and accurate experimental design method.

Attribute Selection for a Discrete Choice Experiment Incorporating a Best-Worst Scaling Survey

OBJECTIVES

Although literature exists on using qualitative methods to generate potential attributes for a discrete choice experiment (DCE), there is little on selecting which attributes to include. We present a case study in which a best-worst scaling case 1 (BWS-1) survey was used to guide attribute selection for a DCE. The case study's context was the decision making of professionals around the choice of augmentative and alternative communication (AAC) systems for children with limited natural speech.

METHODS

BWS-1 survey attributes were generated from literature reviews and focus groups. DCE attributes were selected from BWS-1 attributes. The selection criteria were: include mostly important attributes; create coherent descriptions of children and AAC systems; address the project's research aims; have an appropriate respondent burden. Attributes' importance was judged using BWS-1 relative importance scores.

RESULTS

The BWS-1 survey included 19 child and 18 AAC device/system attributes and was administered to N = 93 AAC professionals. Four child and five device/system attributes were selected for the DCE, administered to N = 155 AAC professionals.

CONCLUSIONS

In this case study BWS-1 results were useful in DCE attribute selection. Four recommendations are made for future studies: define selection criteria for DCE attributes a priori; consider the impact participant's perspective will have on BWS-1 and DCE results; clearly define key terminology at the start of the study and refine it as the study progresses to reflect interim findings; BWS will be useful when there is little existing stated preference work on a topic and/or qualitative work is difficult.

Patient Preferences to Assess Value IN Gene Therapies: Protocol Development for the PAVING Study in Hemophilia

Introduction: Gene therapies are innovative therapies that are increasingly being developed. However, health technology assessment (HTA) and payer decision making on these therapies is impeded by uncertainties, especially regarding long-term outcomes. Through measuring patient preferences regarding gene therapies, the importance of unique elements that go beyond health gain can be quantified and inform value assessments. We designed a study, namely the Patient preferences to Assess Value IN Gene therapies (PAVING) study, that can inform HTA and payers by investigating trade-offs that adult Belgian hemophilia A and B patients are willing to make when asked to choose between a standard of care and gene therapy.

Methods and Analysis: An eight-step approach was taken to establish the protocol for this study: (1) stated preference method selection, (2) initial attributes identification, (3) stakeholder (HTA and payer) needs identification, (4) patient relevant attributes and information needs identification, (5) level identification and choice task construction, (6) educational tool design, (7) survey integration, and (8) piloting and pretesting. In the end, a threshold technique survey was designed using the attributes “Annual bleeding rate,” “Chance to stop prophylaxis,” “Time that side effects have been studied,” and “Quality of Life.”

Ethics and Dissemination: The Medical Ethics Committee of UZ KU Leuven/Research approved the study. Results from the study will be presented to stakeholders and patients at conferences and in peer-reviewed journals. We hope that results from the PAVING study can inform decision makers on the acceptability of uncertainties and the value of gene therapies to patients.

Patient perspectives regarding gene therapy in haemophilia: Interviews from the PAVING study

Introduction

Exploring patient perceptions regarding gene therapies may provide insights about their acceptability to patients.

Objective

To investigate opinions of people with haemophilia (PWH) regarding gene therapies. Moreover, this study aimed to identify patient‐relevant attributes (treatment features) that influence PWH’s treatment choices.

Methods

Semi‐structured individual interviews were conducted with Belgian PWH, types A and B. A predefined interview guide included information sections and open, attribute ranking and case questions. Qualitative data were organized using NVivo 12 and analysed following framework analysis. Sum totals of scores obtained in the ranking exercise were calculated per attribute.

Results

In total, 20 PWH participated in the interviews. Most participants demonstrated a positive attitude towards gene therapy and were very willing (40%; n = 8) or willing (35%; n = 7) to receive this treatment. The following five attributes were identified as most important to PWH in making their choice: annual bleeding rate, factor level, uncertainty of long‐term risks, impact on daily life, and probability that prophylaxis can be stopped. While participants were concerned about the uncertainty regarding long‐term safety, most participants were less concerned about uncertainty regarding long‐term efficacy.

Conclusions

This qualitative study showed that most PWH have a positive attitude towards gene therapy and that besides efficacy, safety and the related uncertainties, also impact on daily life is important to patients. The identified patient‐relevant attributes may be used by regulators, health technology assessment bodies and payers in their evaluation of gene therapies for haemophilia. Moreover, they may inform clinical trial design, pay‐for‐performance schemes and real‐world evidence studies.

Valuation study for a preference-based quality of life measure for dental caries (Dental Caries Utility Index - DCUI) among Australian adolescents - study protocol

INTRODUCTION

A new health state classification system has been developed for dental caries - Dental Caries Utility Index (DCUI) to facilitate the assessment of oral health interventions in the cost-utility analysis (CUA). This paper reports the protocol for a valuation study, which aims to generate a preference-based algorithm for the classification system for the DCUI.

METHODS AND ANALYSIS

Discrete choice experiments (DCEs) will be conducted to value health states generated by the DCUI classification system and preferences for these health states will be modelled to develop a utility algorithm. DCEs produce utility values on a latent scale and these values will be anchored into the full health-dead scale to calculate the quality-adjusted life years in CUA. There is no previous evidence for the most suitable anchoring method for dental caries health state valuation. Hence, we will first conduct pilot studies with two anchoring approaches; DCE including duration attribute and DCE anchoring to worst heath state in Visual Analogue Scale. Based on the pilot studies, the most suitable anchoring method among two approaches will be used in the main valuation survey, which will be conducted as an online survey among a representative sample of 2000 adults from the Australian general population. Participants will be asked to complete a set of DCE choice tasks along with anchoring tasks, basic social-demographic questions, DCUI, a generic preference-based measure and oral health quality of life instrument.

ETHICS AND DISSEMINATION

Ethical approval for this study was obtained from the Human Research Ethics Committee, Griffith University (reference number HREC/2019/550). The generated algorithm will facilitate the use of the new dental caries preference-based measure in economic evaluations of oral health interventions. The results will be disseminated through journal articles and professional conferences.

Preferences of Medical Sciences Students for Work Contracts in Deprived Areas of Iran: A Discrete Choice Experiment Analysis

Background

An unequal distribution of human resources affects access to health-care services. This study aimed to elicit the preferences of medical, dentistry, and pharmacy students about attributes of work contracts in deprived areas of Iran; this is a primary important step to decrease inequity.

Methods

Two-hundred and one students were entered into the study through proportional sample size estimation from Kermanshah University of Medical Sciences in the west of Iran in 2018. The attributes of work contracts were determined using the discrete choice experiment (DCE) method, then possible dual scenarios of work contracts were designed through the D-efficiency method of SAS software and the data were collected using a questionnaire designed by the researchers. The conditional logistic model was used to analyze the data.

Results

Salary, workplace, side facilities, scholarship, and workload were considered as important factors for working in the deprived areas (p<0.001). There were differences between the students’ preferences regarding their residential areas, majors, and state or tuition-paying education (p<0.001). Higher payments, side facilities, and availability of quota after working in the deprived areas were considered as creators of higher utility, and working in deprived areas and high workload were considered as creators of lower utility (p<0.001).

Conclusion

This study provides new evidence about the preferences of medical sciences students for work contracts in deprived areas of Iran. According to the findings, money is not the only factor that affects the decisions of medical sciences students related to working contracts in deprived areas of Iran. Designing work contracts that are matched with preferences of the workforce can lead to an improvement in equity, access, and utilization of health-care services.

Assessing cigarette packaging and labelling policy effects on early adolescents: results from a discrete choice experiment

INTRODUCTION

Cigarette packaging is a primary channel for tobacco advertising, particularly in countries where traditional channels are restricted. The current study evaluated the independent and interactive effects of cigarette packaging and health warning label (HWL) characteristics on perceived appeal of cigarette brands for early adolescents in Mexico.

METHODS

A discrete choice experiment (DCE) was conducted with early adolescents, aged 12-14 years (n=4251). The DCE involved a 3×25 design with six attributes: brand (Marlboro, Pall Mall, Camel), tobacco flavour (regular, menthol), flavour capsule (none, 1 or 2 capsules), presence of descriptive terms, branding (vs plain packaging), HWL size (30%, 75%) and HWL content (emphysema vs mouth cancer). Participants viewed eight sets of three cigarette packs and selected a pack in each set that: (1) is most/least attractive, (2) they are most/least interested in trying or (3) is most/least harmful, with a no difference option.

RESULTS

Participants perceived packs as less attractive, less interesting to try and more harmful if they had plain packaging or had larger HWLs, with the effect being most pronounced when plain packaging is combined with larger HWLs. For attractiveness, plain packaging had the biggest influence on choice (43%), followed by HWL size (19%). Interest in trying was most influenced by brand name (34%), followed by plain packaging (29%). Perceived harm was most influenced by brand name (30%), followed by HWL size (29%).

CONCLUSION

Increasing the size of HWLs and implementing plain packaging appear to reduce the appeal of cigarettes to early adolescents. Countries should adopt these policies to minimise the impact of tobacco marketing.

Preferences of Patients with Non-Communicable Diseases for Primary Healthcare Facilities: A Discrete Choice Experiment in Wuhan, China

Objectives: To elicit stated preferences of patients with non-communicable diseases (NCDs) for primary healthcare (PHC) facilities and to explore the willingness-to-pay (WTP) for facility attributes. Methods: A discrete choice experiment (DCE) was conducted through face to face interviews. The DCE survey was constructed by five attributes: type of service, treatment measures, cost, travel time, and care provider. Patients’ preferences and willingness to pay for facility attributes were analyzed using a mixed logit model, and interaction terms were used to assess preference heterogeneity among patients with different sociodemographic characteristics. Results: Patients placed different weights on attributes, depending on whether they perceived their health condition as minor or severe. For conditions perceived as minor, patients valued treatment measures (56.60%), travel time (32.34%) and care provider (8.51%) most. For conditions perceived as severe, they valued treatment measures (52.19%), care provider (38.69%), and type of service (7.30%) most. The WTP related to the change from Traditional Chinese Medicine (TCM) service to Modern Medicine (MM) service was the largest for both severity scenarios. For conditions perceived as minor, patients would be willing to pay 102.84 CNY (15.43 USD) for a reduction in travel time to below 30 min. For conditions perceived as severe, WTP related to the change from general service to specialized service and from junior medical practitioner to senior medical practitioner, were highly valued by respondents, worth 107.3 CNY (16.10 USD) and 565.8 CNY (84.87 USD), respectively. Conclusions: Factors related to the provision of PHC, such as treatment measures, care provider and type of service were highly valued. The findings could contribute to the design of better PHC delivery, improve the participation of patients in PHC, and provide some evidence to promote shared decision-making.

The use of discrete choice experiments in adherence research: A new solution to an old problem

Theory can play an important role in providing the framework, and underpinning the design and implementation of interventions to improve medication adherence. Interventions that are grounded in a theory are relatively more effective in improving medication adherence than interventions which do not have a theoretical support. However, a large body of adherence research does not appear to be linked to any theory or model, which therefore may have resulted in interventions that are either ineffective or not sustainable. Interventions that are based on theory have mainly employed socio-behavioural models to explain, and design interventions to address, the complex phenomenon of adherence. Yet, the effectiveness of these interventions is inconclusive, supporting the argument that socio-behavioural models alone have limited applicability in explaining behaviour associated with medication-taking. An important reason for this limitation may be the complex and dynamic nature of adherence. There is a need to include a wide variety of factors in a model and examine adherence in the context of its three phases (initiation, implementation, and discontinuation). One possible way forward is to also examine medication-taking behaviour from an economic perspective, for example, by using a discrete choice experiment (DCE), which provides a different approach to understanding human behaviour about medication-taking and the complexities of decision-making in adhering to medication. DCEs can help in understanding how patients decide to initiate, continue or discontinue taking medication, factors that influence their decision, and the relative importance of those factors, which can assist researchers to prioritise interventions to improve medication adherence. Integration of multiple theories is needed to examine adherence from multiple perspectives and design interventions that are effective and sustainable. This commentary focusses on the pros and cons of some of the commonly used socio-behavioural models in adherence research and suggests a way forward by incorporating DCEs in adherence research.

Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

BACKGROUND

Stated preference elicitation methods such as discrete choice experiments (DCEs) are now widely used in the health domain. However, the "quality" of health-related DCEs has come under criticism due to the lack of rigour in conducting and reporting some aspects of the design process such as attribute and level development. Superficially selecting attributes and levels and vaguely reporting the process might result in misspecification of attributes which may, in turn, bias the study and misinform policy. To address these concerns, we meticulously conducted and report our systematic attribute development and level selection process for a DCE to elicit the preferences of health care providers for the attributes of a capitation payment mechanism in Kenya.

METHODOLOGY

We used a four-stage process proposed by Helter and Boehler to conduct and report the attribute development and level selection process. The process entailed raw data collection, data reduction, removing inappropriate attributes, and wording of attributes. Raw data was collected through a literature review and a qualitative study. Data was reduced to a long list of attributes which were then screened for appropriateness by a panel of experts. The resulting attributes and levels were worded and pretested in a pilot study. Revisions were made and a final list of attributes and levels decided.

RESULTS

The literature review unearthed seven attributes of provider payment mechanisms while the qualitative study uncovered 10 capitation attributes. Then, inappropriate attributes were removed using criteria such as salience, correlation, plausibility, and capability of being traded. The resulting five attributes were worded appropriately and pretested in a pilot study with 31 respondents. The pilot study results were used to make revisions. Finally, four attributes were established for the DCE, namely, payment schedule, timeliness of payments, capitation rate per individual per year, and services to be paid by the capitation rate.

CONCLUSION

By rigorously conducting and reporting the process of attribute development and level selection of our DCE,we improved transparency and helped researchers judge the quality.