Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide

The DECISION project: DiscrEte Choice experIment Spinal manipulative therapy for lOw back paiN: A study protocol

The smallest worthwhile effect (SWE) is the smallest beneficial effect of an intervention that justifies the costs, risks, and inconveniences. The objective is to establish the SWE of spinal manipulative therapy (SMT) for the treatment of low back pain (LBP), and to gain insight into how different attributes of the treatment are traded among each other when choosing SMT. Part 1. A mixed-methods study will be conducted to establish and prioritize a list of attributes influencing choices for those who consider SMT for the treatment of LBP. Individual interviews and consensus groups with chiropractors, manual therapists, and osteopaths and their patients will be conducted. Interviews and consensus groups will be voice-recorded and transcribed verbatim. Part 2. A Discrete Choice Experiment (DCE) will be conducted among people with LBP who have limited to no experience with SMT. Participants will be recruited through an online independent panel company. The survey will consist of several choice sets with attributes and their levels established from Part 1. The DCE will be preceded by a short survey to understand the clinical aspects (i.e. presentation, history and previous treatment for LBP) as well as socio-demographic characteristics of the participants.

Teratogenic Risk Impact and Mitigation (TRIM): Study Protocol for the Development of a Decision Support Tool to Prioritize Medications for Risk Mitigation

INTRODUCTION

Preventing prenatal exposure to teratogenic medications is an important goal of regulatory risk mitigation efforts. In the USA, as of March 2024, 11 teratogenic medications have a required Risk Evaluation and Mitigation Strategy (REMS) program. It is unclear whether these programs target those medications with the most significant impact on public health and adverse pregnancy outcomes.

OBJECTIVES

This study aims to develop an innovative decision support tool that uses explicit, quantifiable criteria to facilitate prioritization of teratogenic medications for risk mitigation strategies.

METHODS

The Teratogenic Risk Impact and Mitigation (TRIM) decision support tool will be developed by a national panel via a modified Delphi approach to define measurable criteria, and a multi-criteria decision analysis to estimate criteria weights within a discrete choice experiment. The TRIM scores will then be calculated for 12 teratogenic drugs with active or eliminated REMS programs and for 12 teratogenic drugs without REMS. These drugs will be identified based on highest prenatal exposure prevalence in claims data of privately and publicly insured individuals. Data for the TRIM criteria levels for these 24 drugs will be identified from evidence searches and ad hoc analyses of the same claims data.

CONCLUSIONS

Teratogenic Risk Impact and Mitigation is intended to inform regulatory decision making about the need for risk mitigation programs for teratogenic medications by providing explicit, quantifiable, evidence-based criteria. The TRIM scores of 24 teratogenic drugs may provide benchmarks for considering REMS for marketed and new teratogenic medications.

Patients' Preferences for Sphingosine-1-Phosphate Receptor Modulators in Multiple Sclerosis Based on Clinical Management Considerations: A Choice Experiment

BACKGROUND

Several sphingosine-1-phosphate receptor (S1PR) modulators are available in the US for treating relapsing forms of multiple sclerosis (RMS). Given that these S1PR modulators have similar efficacy and safety, patients may consider the clinical management characteristics of the S1PR modulators when deciding among treatments. However, none of the S1PR modulators is clearly superior in every aspect of clinical management, and for some treatments, clinical management varies based on a patient's comorbid health conditions (e.g., heart conditions [HC]).

OBJECTIVES

This study aimed to determine which S1PR modulator patients with relapsing-remitting multiple sclerosis (RRMS) would prefer based on clinical management considerations, and to estimate how different clinical management considerations might drive these preferences. Preferences were explored separately for patients with and without comorbid HC.

METHODS

A multicriteria decision analysis was conducted on S1PR modulators approved to treat RMS: fingolimod, ozanimod, siponimod, and ponesimod. Clinical management preferences of patients with RRMS were elicited in a discrete choice experiment (DCE) in which participants repeatedly chose between hypothetical S1PR modulator profiles based on their clinical management attributes. Attributes included first-dose observations, genotyping, liver function tests, eye examinations, drug-drug interactions, interactions with antidepressants, interactions with foods high in tyramine, and immune system recovery time. Preferences were estimated separately for patients with HC and without HC (noHC). Marginal utilities were calculated from the DCE data for each attribute and level using a mixed logit model. In the multicriteria decision analysis, partial value scores were created by applying the marginal utilities for each attribute and level to the real-world profiles of S1PR modulators. Partial value scores were summed to determine an overall clinical management value score for each S1PR modulator.

RESULTS

Four hundred patients with RRMS completed the DCE. Ponesimod had the highest overall value score for patients both without (n = 341) and with (n = 59) HC (noHC: 5.1; HC: 4.0), followed by siponimod (noHC: 4.9; HC: 3.3), fingolimod (noHC: 3.4; HC: 2.8), and ozanimod (noHC: 0.9; HC: 0.8). Overall, immune system recovery time contributed the highest partial value scores (noHC: up to 1.9 points; HC: up to 1.2 points), followed by the number of drug-drug interactions (noHC: up to 1.2 points; HC: up to 1.7 points).

CONCLUSIONS

When considering the clinical management of S1PR modulators, the average patient with RRMS is expected to choose a treatment with shorter immune system recovery time and fewer interactions with other drugs. Patients both with and without heart conditions are likely to prefer the clinical management profile of ponesimod over those of siponimod, fingolimod, and ozanimod. This information can help inform recommendations for treating RRMS and facilitate shared decision making between patients and their doctors.

Clinicians' Preferences for Sphingosine-1-Phosphate Receptor Modulators in Multiple Sclerosis Based on Clinical Management Considerations: A Choice Experiment

BACKGROUND

Four sphingosine-1-phosphate receptor (S1PR) modulators are currently available in the USA for treating relapsing forms of multiple sclerosis (MS). These S1PR modulators have similar efficacy. Clinicians may therefore consider other factors, such as clinical management considerations, when distinguishing among treatments. This study estimated which S1PR modulator clinicians would choose on the basis of a treatment's clinical management and quantified how individual aspects of clinical management might drive this choice.

METHODS

A multi-criteria decision analysis (MCDA) was conducted on the basis of clinical management preferences elicited in a discrete choice experiment (DCE) and real-world clinical management profiles of the S1PR modulators currently available to treat relapsing forms of MS (fingolimod, ozanimod, ponesimod, siponimod). The DCE was completed by neurologists in the USA experienced in treating MS and included eight clinical management attributes: first-dose observations, genotyping, liver function tests, eye exams, drug-drug interactions, interactions with antidepressants, interactions with foods high in tyramine, and immune system recovery time. Attribute levels were selected on the basis of S1PR modulator product labels. In the MCDA, partial MCDA scores were created for each attribute and summed to produce an overall MCDA score for each S1PR modulator.

RESULTS

The DCE was completed by 200 neurologists. The overall MCDA score was highest for ponesimod (4.78 points), followed by siponimod (4.10 points), fingolimod (3.61 points), and ozanimod (2.38 points). Having fewer drug-drug interactions contributed most to the overall scores (up to 1.56 points), followed by having no first-dose observations (0.95 points), the shortest immune system recovery time (0.94 points), and not interacting with foods high in tyramine (0.86 points).

CONCLUSION

When considering clinical management convenience, the average US-based neurologist treating MS is likely to choose ponesimod over siponimod, fingolimod, or ozanimod. The strongest driver of preferences was the number of drug-drug interactions. This information can help inform recommendations for the treatment of MS and facilitate shared decision-making between clinicians and patients.

Perspective of Dutch Patients with Gout on Continuation or Discontinuation of Urate-Lowering Therapy During Remission: A Mixed-Methods Study

OBJECTIVE

Long-term gout management is based on reducing serum urate by using urate-lowering therapy (ULT). A lifelong treat-to-target approach is advocated, although a ULT (taper to) stop attempt can be considered (treat-to-avoid symptoms approach) during remission. Exploring the beliefs of patients with gout on long-term ULT strategies during remission is important for optimizing gout management. We aimed to identify factors that influence the decision for continuation or discontinuation of ULT and to determine their relative importance according to patients with gout in remission.

METHODS

A mixed-methods design was used. First, semistructured interviews (substudy 1) were conducted to identify barriers and facilitators for the (dis)continuation of ULT using inductive thematic analysis. Afterwards, these barriers/facilitators were summarized into neutrally phrased items and used in a maximum difference scaling study (substudy 2) to determine their relative importance using the rescaled probability score.

RESULTS

Substudies 1 and 2 included 18 and 156 patients, respectively. Substudy 1 yielded 22 items within 10 overarching themes. Substudy 2 revealed that the perceived risk of joint damage and gout flares and that ULT use gives some assurance were the most important items. The costs, ease of receiving ULT, and its practical use were the least important items.

CONCLUSION

These results can aid shared decision-making and provide input for what is important to discuss with patients with gout in remission when they consider ULT discontinuation. The emphasis should be on the risk of having gout flares and joint damage, not so much on facilitating how easily medication is received.

Job preferences of master public health candidates in Northeast China based on discrete choice experiments

BACKGROUND

The shortage of health workers in rural and remote areas is a key issue for global health systems, including China. Public health undertakings in Northeast China face the risk of a talent gap. In September 2023, the National Development and Reform Commission (NDRC) held a symposium on promoting the comprehensive revitalization of Northeast China in the New Era, proposing to support the comprehensive revitalization of Northeast China with high-quality population development, strengthen the development and utilization of human resources, and increase policy support for the revitalization of talent.

METHODS

The questionnaire was designed by discrete choice experiments, and 1208 Public Health Master's candidates from six universities in Northeast China were investigated online via the Powercx system network survey platform in April 2024. The mixed logit model was used to analyze the job preferences of Master Public Health candidates.

RESULTS

All 7 attributes included in the study had statistically significant effects on the job preferences of public health master's degree candidates (P < 0.05). They tended to choose jobs with higher monthly income (12,000 CNY/month), located in cities with good working environments and with Bianzhi when seeking jobs. There is heterogeneity in job preference, and different preference characteristics are displayed in different subgroups.

CONCLUSION

This study revealed that public health master's degree candidates in Northeast China were more willing to choose jobs with higher monthly incomes, working places in cities and better working environments. The way to formulate a combination of policy packages is more attractive than improving a single aspect alone. Since the preferences of each subgroup are different, the preference characteristics of the target population should also be considered when formulating the policy package to meet the challenges of talent attraction and retention.

What do Iranians value most when choosing a hospital? Evidence from a discrete choice experiment

BACKGROUND

Individual preferences have preceded the use of health care services, and it has been affected by different hospital attributes. This study aimed to elicit the Iranians' preferences in choosing hospitals using a discrete choice experiment.

METHODS

A discrete choice experiment (DCE) was conducted through face to face interviews with 301 participants. The DCE was constructed by six attributes were included based on a literature review, qualitative interviews, Focus Group Discussion (FGD) and consensus development approach: waiting time, quality of care, travel time, hospital type, provider competency, and hospital facilities. individuals' preferences for hospital attributes were analyzed using a mixed logit model, and interaction terms were used to assess preference heterogeneity among individuals with different sociodemographic characteristics.

RESULTS

Participants had strong and significant preferences for care delivered in hospitals with 'full' (β = 0.6052, p<0.001) or 'moderate' (β = 0.5882, p<0.001) hospital equipment and with 'excellent' provider competency (β = 0.2637, p<0.001). The estimated coefficients for the "waiting time of 120 minutes" (β = -0.1625, p<0.001) and the "travel time of 30 minutes" (β = -0.1157, p<0.001) were negative and significant. The results also show that the personal characteristics such as age, education level, and income significantly affected individual preferences in choosing a hospital.

CONCLUSION

Considering people's preferences can be important given the more active role of today's patients in decision-making about their treatment processes. The results of this study should be taken into consideration by health policymakers and all stakeholders to be aware of differences in preferences of people and maximize their satisfaction. In this case, it is important to continuously involve people and consider their preferences in the design, topology, construction, and equipment of hospitals.

Urban-rural differences in preferences for traditional Chinese medicine services among chronic disease patients: a discrete choice experiment

BACKGROUND

With the increasing prevalence of chronic diseases, the demand for medical services from chronic disease patients has become diversified and personalized. The advantages and role of traditional Chinese medicine in the prevention and treatment of chronic diseases gradually emerging. The preferences and willingness to pay for traditional Chinese medicine services (TCMS) among patients with chronic diseases, as well as any disparities between urban and rural patients, have not been examined in past studies.

OBJECTIVE

This study aimed to investigate the preferences of chronic disease patients for TCMS, explore the value/importance that patients place on different treatment attributes, and evaluate whether there are urban-rural differences in their preferences and willingness to pay for TCMS.

METHODS

A total of 317 patients from Jiangsu Province, China participated in a discrete choice experiment that elicited the preferences for TCMS. The choice questions were constructed by six attributes: out-of-pocket (OOP) cost, institution, medical provider, treatment method, treatment duration, treatment efficacy. Mixed logit models were used to estimate the stated preference and marginal willingness to pay for each attribute.

RESULTS

The choice preferences of chronic disease patients for TCMS in this study were influenced by the four attributes: institution, treatment method, and treatment efficacy, and OOP cost. Improvements in treatment efficacy were the most concerning, followed by being treated in traditional Chinese medicine (TCM) hospital. Patients were willing to pay more to get better treatment outcomes. Compared with primary care institutions, patients were willing to pay more for treatment in TCM hospitals. The preferences for economic attribute (OOP cost) varied between urban and rural areas, and rural patients tended to favor scenarios that imposed a lower economic burden on them.

CONCLUSION

The chronic disease patients' preferences for TCMS were determined mainly by treatment efficacy but also by institution, treatment method and OOP cost. The urban-rural difference in preference identified in this study highlights that effective policy interventions should consider the characteristics of patients' demand in different regions.

Patient preferences for conservative treatment of shoulder pain: a discrete choice experiment

BACKGROUND

Shoulder pain is common amongst adults, but little is known about patients' preferences.

OBJECTIVE

The aim of this study was to determine patients' preferences for treatment options offered for shoulder pain in primary care.

METHODS

A discrete choice experiment was used to investigate these preferences. Adults with shoulder pain were asked to make 12 choices between two treatment options, or to opt-out. The attributes of the 12 treatment options were presented as varying in: treatment effectiveness (50%, 70%, or 90%), risk of relapse (10%, 20%, or 30%), time to pain reduction (2 or 6 weeks), prevention of relapse (yes/no), requiring injection (yes/no), and including physiotherapy (none, 6, or 12 sessions). A conditional logit model with latent class analysis was used for the analysis and a class assignment model.

RESULTS

Three hundred and twelve participants completed the questionnaire with mean age of 52 ± 15.2 years. Latent class analysis revealed three groups. Group 1 preferred to opt-out, unless the attributes were highly favorable (90% effectiveness). Group 2 preferred treatment, but not an injection. Group 3 preferred to opt-out and did not opt for treatment. The likelihood of a participant belonging to one of these groups was 68.8%, 9.3%, and 21.9%, respectively. The class assignment was related to having previously received injection or physiotherapy, as they did not prefer that same treatment again.

CONCLUSION

This study showed that most patients with shoulder pain prefer to opt-out, unless treatment attributes are highly favorable. Characteristics of influence on this decision was whether the patient had received an injection or physiotherapy before.

Using stated preference methods to design gender-affirming long-acting PrEP programs for transgender and nonbinary adults

Integrating gender-affirming care with biomedical HIV prevention could help address the disproportionate HIV risk experienced by transgender and nonbinary (trans) adults. This discrete choice experiment assesses and identifies the most important programming factors influencing the decisions of trans adults to use injectable long-acting HIV pre-exposure prophylaxes (LA-PrEP). From March to April 2023 n = 366 trans adults in Washington state chose between four different choice profiles that presented hypothetical programs (each comprised of 5 attributes with 4 levels). We analyzed ranked choice responses using a mixed rank-ordered logit model for main effects. Respondents preferred to receive LA-PrEP from a gender-affirming care provider and a co-prescription for both oral and injectable hormones. Trans adults strongly favored 12-month protection and injection in the upper arm. No strong preferences emerged surrounding the type of health facility offering the gender-affirming LA-PrEP program. Our findings show that integrating and leveraging gender-affirming health systems, inclusive of medical services such as hormone therapy, with HIV biomedical products like LA-PrEP is strongly preferred and influential to trans adults' decision to use LA-PrEP. Leveraging choice-based design experiments provides informative results for optimizing gender-affirming LA-PrEP programming tailored to trans adults.

Unravelling Elements of Value of Healthcare and Assessing their Importance Using Evidence from Two Discrete-Choice Experiments in England

BACKGROUND

Health systems are moving towards value-based care, implementing new care models that allegedly aim beyond patient outcomes. Therefore, a policy and academic debate is underway regarding the definition of value in healthcare, the inclusion of costs in value metrics, and the importance of each value element. This study aimed to define healthcare value elements and assess their relative importance (RI) to the public in England.

METHOD

Using data from 26 semi-structured interviews and a literature review, and applying decision-theory axioms, we selected a comprehensive and applicable set of value-based elements. Their RI was determined using two discrete choice experiments (DCEs) based on Bayesian D-efficient DCE designs, with one DCE incorporating healthcare costs expressed as income tax rise. Respondent preferences were analysed using mixed logit models.

RESULTS

Six value elements were identified: additional life-years, health-related quality of life, patient experience, target population size, equity, and cost. The DCE surveys were completed by 402 participants. All utility coefficients had the expected signs and were statistically significant (p < 0.05). Additional life-years (25.3%; 95% confidence interval [CI] 22.5-28.6%) and patient experience (25.2%; 95% CI 21.6-28.9%) received the highest RI, followed by target population size (22.4%; 95% CI 19.1-25.6%) and quality of life (17.6%; 95% CI 15.0-20.3%). Equity had the lowest RI (9.6%; 95% CI 6.4-12.1%), decreasing by 8.8 percentage points with cost inclusion. A similar reduction was observed in the RI of quality of life when cost was included.

CONCLUSION

The public prioritizes value elements not captured by conventional metrics, such as quality-adjusted life-years. Although cost inclusion did not alter the preference ranking, its inclusion in the value metric warrants careful consideration.

A Reporting Checklist for Discrete Choice Experiments in Health: The DIRECT Checklist

BACKGROUND

Reporting standards of discrete choice experiments (DCEs) in health have not kept pace with the growth of this method, with multiple reviews calling for better reporting to improve transparency, assessment of validity and translation. A key missing piece has been the absence of a reporting checklist that details minimum standards of what should be reported, as exists for many other methods used in health economics.

METHODS

This paper reports the development of a reporting checklist for DCEs in health, which involved a scoping review to identify potential items and a Delphi consensus study among 45 DCE experts internationally to select items and guide the wording and structure of the checklist. The Delphi study included a best-worst scaling study for prioritisation.

CONCLUSIONS

The final checklist is presented along with guidance on how to apply it. This checklist can be used by authors to ensure that sufficient detail of a DCE's methods are reported, providing reviewers and readers with the information they need to assess the quality of the study for themselves. Embedding this reporting checklist into standard practice for health DCEs offers an opportunity to improve consistency of reporting standards, thereby enabling transparency of review and facilitating comparison of studies and their translation into policy and practice.

Preferences for pre-exposure prophylaxis delivery via online pharmacy among potential users in Kenya: a discrete choice experiment

INTRODUCTION

Oral pre-exposure prophylaxis (PrEP) is highly effective, but coverage remains low in high HIV prevalence settings. Initiating and continuing PrEP remotely via online pharmacies is a promising strategy to expand PrEP uptake, but little is known about potential users' preferences.

METHODS

We conducted a discrete choice experiment (DCE) to assess preferences for online pharmacy PrEP services. We partnered with MYDAWA, an online pharmacy in Nairobi, Kenya. Eligibility criteria were: ≥18 years, not known HIV positive, interested in PrEP. The DCE contained four attributes: PrEP eligibility assessment (online self-assessed, guided), HIV test type (provider administered, oral HIV self-test [HIVST], blood-based HIVST), clinical consultation (remote, in-person) and user support options (text messages, phone/video call, email). Additionally, participants indicated whether they were willing to uptake their selected service. The survey was advertised on MYDAWA's website; interested participants met staff in-person at a convenient location to complete the survey from 1 June to 20 November 2022. We used conditional logit modelling with an interaction by current PrEP use to estimate overall preferences and latent class analysis (LCA) to assess preference heterogeneity.

RESULTS

Overall, 772 participants completed the DCE; the mean age was 25 years and 54% were female. Most participants indicated a willingness to acquire online PrEP services, with particularly high demand among PrEP-naive individuals. Overall, participants preferred remote clinical consultation, HIV self-testing, online self-assessment and phone call user support. The LCA identified three subgroups: the "prefer online PrEP with remote components" group (60.3% of the sample) whose preferences aligned with the main analysis, the "prefer online PrEP with in-person components" group (20.7%), who preferred in-person consultation, provider-administered HIV testing, and guided assessment, and the "prefer remote PrEP (18.9%)" group who preferred online PrEP services only if they were remote.

CONCLUSIONS

Online pharmacy PrEP is highly acceptable and may expand PrEP coverage to those interested in PrEP but not accessing services. Most participants valued privacy and autonomy, preferring HIVST and remote provider interactions. However, when needing support for questions regarding PrEP, participants preferred phone/SMS contact with a provider. One-fifth of participants preferred online PrEP with in-person components, suggesting that providing multiple options can increase uptake.

Nurses' preferences for working in Uber-style 'Internet plus' nursing services: A discrete choice experiment

BACKGROUND

China's 'Internet Plus' nursing services, which are Uber-style home care services with an 'online application, offline service' approach, have been evolving over the past five years. Registered nurses' preference for these Uber-style Internet Plus nursing services are crucial for improving human resource management and service efficiency, yet research in this area remains scarce.

OBJECTIVE

This study aimed to explore registered nurses' preferences for Uber-style Internet Plus nursing services and provide optimization recommendations from a supply-side perspective.

DESIGN

A cross-sectional study utilising a discrete choice experiment.

SETTING(S)

Two public tertiary hospitals located in Tianjin, China, which have implemented Internet Plus nursing services.

PARTICIPANTS

211 registered nurses who participated in Internet Plus nursing services.

METHODS

The survey was conducted anonymously using an online survey platform. Respondents were presented with choices between two alternatives, based on five key attributes: income, safety and security, patient and family cooperation, commute time, and service type. Mixed logit models estimated the stated preferences for attributes. Relative importance scores, willingness-to-pay estimates, and simulations of service-type uptake rates were calculated. Subgroup analysis and seemingly unrelated regression estimation were performed to examine heterogeneity in preferences.

RESULTS

A total of 3202 choice observations were generated. When sorted by the strength of preference, the five attributes related to registered nurses' choice of Uber-style Internet Plus nursing services, measured by their relative importance scores, are as follows: safety and security (30.89 %), income (27.41 %), patient and family cooperation (18.47 %), service type (11.96 %), and commuting time (11.27 %). Elevating safety and security from low to high levels has the same utility as a 31.81 % increase in monthly income, equivalent to 2586.14 yuan. Subgroup analysis showed that senior nurses place more value on safety and security than junior nurses (β = 1.421 vs.β = 0.725; P = 0.011), and unmarried nurses had a stronger preference for family and caregiver cooperation (β = 1.105 vs.β = 0.314; P = 0.023).

CONCLUSIONS

The strength and heterogeneity of registered nurses' preferences should be highlighted in the dispatch algorithms model of Uber-style Internet Plus nursing services, thereby enhancing the efficiency and humanity of Uber-style Internet Plus nursing services.

TWEETABLE ABSTRACT

Registered nurses prioritise safety and security, acknowledging heterogeneous preferences in Uber-style Internet Plus nursing services.

Understanding the preferences of young women in self-sampling interventions for sexually transmitted infection diagnosis: a discrete choice experimental protocol

INTRODUCTION

Sexually transmitted infections (STIs) are a significant public health concern globally, particularly affecting young women. Early diagnosis and treatment are essential to reducing or stopping the continuous spread of infections and the development of associated complications. Syndromic management, which is commonly used for STIs, presents several barriers, particularly for young women. This protocol is for a study that aims to understand young women's preferences for a self-sampling intervention for STI diagnosis by using a discrete choice experiment (DCE). The DCE will be conducted among young women residing in underserved urban communities in eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa.

METHODS AND ANALYSIS

The following attributes of a self-sampling intervention were identified through a Nominal Group Technique: accessibility, education, confidentiality, self-sampling method, youth-friendliness and cost. A pilot study involving 20 participants was conducted to refine the DCE questionnaire. A total of 196 young women from underserved communities will be recruited. The participants will be sampled from communities, stratified by settlement type and socioeconomic status. Data will be analysed using the multinomial logit model and mixed logit model to assess preferences and heterogeneity.

ETHICS AND DISSEMINATION

The study was approved by the Faculty of Health Sciences Research Ethics Committee of the University of Pretoria. The study findings have the potential to inform policies for STI treatment and management to align healthcare services with user preferences. This can improve STI healthcare access for young women in underserved communities. Ethical approval was obtained, and results will be disseminated through peer-reviewed journals and health conferences.

Musculoskeletal patients' preferences for care from physiotherapists or support workers: a discrete choice experiment

BACKGROUND

Delegation of clinical tasks from physiotherapists to physiotherapy support workers is common yet varies considerably in musculoskeletal outpatient physiotherapy services, leading to variation in patient care. This study aimed to explore patients' preferences and estimate specific trade-offs patients are willing to make in treatment choices when treated in musculoskeletal outpatient physiotherapy services.

METHODS

A discrete choice experiment was conducted using an efficient design with 16 choice scenarios, divided into two blocks. Adult patients with musculoskeletal conditions recruited from a physiotherapy service completed a cross-sectional, online questionnaire. Choice data analyses were conducted using a multinomial logit model. The marginal rate of substitution for waiting time to first follow-up physiotherapy appointment and distance from the physiotherapy clinic was calculated and a probability model was built to estimate the probability of choosing between two distinct physiotherapy service options under different scenarios.

RESULTS

382 patient questionnaires were completed; 302 participants were treated by physiotherapists and 80 by physiotherapists and support workers. There was a significant preference to be seen by a physiotherapist, have more follow-up treatments, to wait less time for the first follow-up appointment, to be seen one-to-one, to see the same clinician, to travel a shorter distance to get to the clinic and to go to clinics with ample parking. Participants treated by support workers did not have a significant preference to be seen by a physiotherapist and it was more likely that they would choose to be seen by a support worker for clinic scenarios where the characteristics of the physiotherapy service were as good or better.

CONCLUSIONS

Findings highlight that patients treated by support workers are likely to choose to be treated by support workers again if the other service characteristics are as good or better compared to a service where treatment is provided only by physiotherapists. Findings have implications for the design of physiotherapy services to enhance patient experience when patients are treated by support workers. The findings will contribute to the development of "best practice" recommendations to guide physiotherapists in delegating clinical work to physiotherapy support workers for patients with musculoskeletal conditions.

Preferences for Hypertension Care in Malawi: A Discrete Choice Experiment Among People Living with Hypertension, With and Without HIV

Hypertension is the most common non-communicable disease diagnosed among people in sub-Saharan Africa. However, little is known about client preferences for hypertension care. We performed a discrete choice experiment in Malawi among people with hypertension, with and without HIV. Participants were asked to select between two care scenarios, each with six attributes: distance, waiting time, provider friendliness, individual or group care, antihypertensive medication supply, and antihypertensive medication dispensing frequency (three versus one month). Eight choice sets (each with two scenarios) were presented to each individual. Mixed effects logit models quantified preferences for each attribute. Estimated model coefficients were used to predict uptake of hypothetical models of care. Between July 2021 and April 2022 we enrolled 1003 adults from 14 facilities in Malawi; half were living with HIV and on ART for a median of 11 years. Median age of respondents was 57 years (IQR 49-63), 58.2% were female, and median duration on antihypertensive medications was 4 years (IQR 2-7). Participants strongly preferred seeing a provider alone versus in a group (OR 11.3, 95% CI 10.4-12.3), with stronger preference for individual care among those with HIV (OR 15.4 versus 8.6, p < 0.001). Three-month versus monthly dispensing was also strongly preferred (OR 4.2; 95% CI 3.9-4.5). 72% of respondents would choose group care if all other facility attributes were favorable, although PLHIV were less likely to make this trade-off (66% versus 77%). These findings have implications for the scale-up of hypertension care in Malawi and similar settings.

Preferences for sexual health services among middle-aged and older adults in the UK: a discrete choice experiment

OBJECTIVES

Sexual health is an integral part of well-being. However, the sexual health needs and desires of middle-aged and older adults have been largely disregarded. Therefore, this study aimed to understand the sexual health service preferences of adults aged 45 and older to improve the accessibility of sexual health services in the UK.

METHODS

The formative stage of the discrete choice experiment (DCE) followed three steps: concept elicitation, refining and implementation. The attributes and levels were determined through 22 semistructured interviews during the concept elicitation, followed by pilot testing for refining the survey. Qualtrics XM, with conjoint project features, was implemented as the DCE survey platform. We used a random parameter logit model to estimate the relative importance (RI) of each attribute and preference for each attribute level. We also used a latent class model to explore groups of participants with similar preferences.

RESULTS

In total, 200 responses were included for analysis. The demographic breakdown included 62.5% females, 35.5% people with disabilities and 26.0% identifying as a sexual minority. The median age was 53. Preferences for using sexual health services were mainly influenced by the mode of delivery (RI 32%), location (RI 18%) and cost (RI 16%). Participants showed a preference for face-to-face interactions at sexual health clinics and displayed a willingness to pay for private services. Extra support and the consultation style played minor roles in their decision-making process. No differences in preferences were identified among disabled people. However, sexual minorities expressed their preferences for conventional messaging.

CONCLUSIONS

Our study revealed that middle-aged and older individuals prioritise sexual health services offering face-to-face consultations, emphasising a preference to attend sexual health clinics over cost. Aligning service delivery with these preferences has the potential to significantly improve the accessibility and uptake of sexual health services for adults aged 45 and older in the UK.

Evaluating Preferences of Hospitalized Diabetes Patients for Hospital-Wide Glycemic Control Programme: A Discrete Choice Experiment

Background: Effective glycemic control is crucial for hospitalized patients, leading to benefits such as shorter hospital stays and reduced postoperative infection rates. While previous studies have emphasized the effectiveness of multidisciplinary collaborative stewardship for hospital-wide hyperglycemia management, patient perspectives and preferences have not been adequately considered. Objective: To identify factors influencing treatment preferences of Chinese hospitalized diabetes patients using discrete choice experiments (DCEs) and provide practical insights for the construction of a hospital-wide glycemic control programme. Methods: A face-to-face survey was conducted among diabetes patients admitted to nonendocrine departments in a tertiary hospital in Nanjing, China. The attributes and levels were determined based on DCE principles, and a conditional logit model was used to quantify patients' preferences. Results: A total of 157 respondents were analyzed. Antihyperglycemic effectiveness, healthcare providers, treatment regimen, monitoring frequency, and adverse reactions were the five attributes that significantly influenced patient preference (p < 0.05). Notably, an 80% glycemic control rate (β = 2.009) and a multidisciplinary management team involving clinical pharmacists (β = 1.346) had the greatest impact. Negative effects were observed for hypoglycemia (β = -1.008), insulin pump use (β = -0.746), and frequent glucose monitoring (β = -0.523). Female patients exhibited higher concern for healthcare providers (β = 1.172) compared to males. Younger and shorter-course patients prioritized antihyperglycemic effectiveness (β = 3.330, β = 1.510), while older patients preferred multidisciplinary management (β = 1.186) and opposed increased monitoring frequency (β = -0.703). Patients with higher educational backgrounds showed greater acceptance of continuous glucose monitoring (β = 1.983), and those with higher annual income placed more emphasis on glycemic control rate. Conclusion: Treatment preferences of hospitalized diabetes patients are mainly influenced by antihyperglycemic effectiveness, adverse reactions, healthcare providers, and individual characteristics. Comprehensive consideration and an individualized therapy strategy should be given when constructing a hospital-wide glycemic control programme.

Evaluating the Preferences and Willingness-to-Pay for Oral Antidiabetic Drugs Among Patients with Type 2 Diabetes Mellitus in China: A Discrete Choice Experiment

PURPOSE

To quantify the preferences for an oral antidiabetic drug (OAD) among patients with type 2 diabetes mellitus (T2DM) in China.

METHODS

A discrete choice experiment (DCE) with hypothetical OAD profiles was performed among patients with T2DM recruited from both online and offline sources. Each patient completed 12 DCE choice tasks. The attributes, elicited through mixed methods, include blood glucose level decrease, blood glucose level stability, frequency of medication, gastrointestinal side effects, dose adjustment and out-of-pocket expense. The conditional logit regression model was used to analyze the data. Patients' willingness-to-pay (WTP) was also calculated. Subgroup analyses based on patient characteristics were also conducted.

RESULTS

A total of 741 respondents were included in the analysis sample, covering 456 respondents online and 285 offline. The result showed that all attributes and levels were statistically significant, except one level "dose adjustment required for patients with hepatic or renal insufficiency" in the attribute of dose adjustment. WTP results showed that patients were willing to pay 12.06 and 23.20 yuan, respectively to reduce the frequency of medication from "once per day" and "three times per day" to "once every 2 weeks", respectively. Subgroup analyses showed that the frequency of medication (once versus two to three times per day) had the largest impact and influenced most coefficient estimates.

CONCLUSION

The results suggest that Chinese patients with T2DM prioritized better efficacy, less frequency of medication, lower gastrointestinal side effects, no dose adjustment required for patients with hepatic or renal insufficiency, and less out-of-pocket expense of OAD treatment.

The influence of attributes on community preferences regarding antibiotic treatment: evidence from a discrete choice model

Antibiotic resistance (AR) rates in Vietnam are among the highest in Asia, and recent infections due to multi-drug resistance in the country have caused thousands of deaths each year. This study investigated a Vietnamese community's preferences for antibiotic treatment and its knowledge and attitudes regarding antibiotics. A discrete choice experiment-based survey was developed and administered to the population of interest. The respondents were given sociodemographic-, knowledge- and attitude-related items and 17 pairs of choice tasks. Two hypothetical options were included in each choice task. Latent class analysis was conducted to determine the differences among the respondents' preferences. Among 1,014 respondents, 805 (79.4%) gave valid questionnaires. A three-latent-class model with four covariates (age, healthcare-related education or career, occupation, and attitude classifications) was used in the analysis. All five attributes significantly influenced the respondents' decisions. The majority, including young employed respondents with non-healthcare-related work or education, found treatment failure more important. Older respondents who had healthcare-related education/careers and/or appropriate antibiotic use- and antibiotics resistance-related attitudes, regarded contribution to antibiotic resistance as an important attribute in selecting antibiotic treatments. Unemployed individuals with correct knowledge identified the cost of antibiotic treatment as the most essential decision-making factor. Findings suggest minimal antibiotic impact on resistance; only 7.83% view it as amajor concern. The respondents exhibited substantial preference heterogeneity, and the general Vietnamese public had poor knowledge of and attitudes toward antibiotic use and antibiotic resistance. This study emphasizes the need for individual responsibility for antibiotic resistance and appropriate antibiotic use.

Patient Preferences for Out-of-Hospital Cardiac Arrest Care in South Africa: A Discrete Choice Experiment

OBJECTIVE

This study examined the trade-offs low-resource setting community members were willing to make in regard to out-of-hospital cardiac arrest care using a discrete choice experiment survey.

METHODS

We administered a discrete choice experiment survey to a sample of community members 18 years or older across South Africa between April and May 2022. Participants were presented with 18 paired choice tasks comprised of 5 attributes (distance to closest adequate facility, provider of care, response time, chances of survival, and transport cost) and a range of 3 to 5 levels. We used mixed logit models to evaluate respondents' preferences for selected attributes.

RESULTS

Analyses were based on 2228 responses and 40 104 choice tasks. Patients valued care with the shortest response time, delivered by the highest qualified individuals, which placed them within the shortest distance of an adequate facility, gave them the highest chance of survival, and costed the least. In addition, patients preferred care delivered by their family members over care delivered by the lay public. The highest mean willingness-to-pay for increased survival is 11 699 South African rand (ZAR), followed by distance to health facility (8108 ZAR), and response time (5678 ZAR), and the lowest for increasing specialization of provider (1287 ZAR).

CONCLUSIONS

In low-resource settings, it may align with patients' preference to include targeted resuscitation training for family members of individuals with high-risk for cardiac arrest as a part of out-of-hospital cardiac arrest intervention strategies.

Eliciting Older Cancer Patients' Preferences for Follow-Up Care to Inform a Primary Healthcare Follow-Up Model in China: A Discrete Choice Experiment

BACKGROUND AND OBJECTIVES

Increasing longevity and advances in treatment have increased the cancer burden in the elderly, resulting in complex follow-up care needs; however, in China, little is known about the follow-up care preferences of these patients. This study quantified older cancer patients' preferences for follow-up care and examined the trade-offs they are willing to make to accept an alternative follow-up model.

METHODS

A discrete choice experiment was conducted among inpatients aged over 60 years with breast, prostate, or colorectal cancer, at two large tertiary hospitals in Nantong, China. Preference weights for follow-up care were estimated using mixed logit analysis. Subgroup analysis and latent class analysis were used to explore preference heterogeneity.

RESULTS

Complete results were obtained from 422 patients (144 with breast cancer, 133 with prostate cancer, 145 with colorectal cancer), with a mean age of 70.81 years. Older cancer patients stated a preference for follow-up by specialists over primary healthcare (PHC) providers ( β = -1.18, 95% confidence interval -1.40 to -0.97). The provider of follow-up care services was the most valued attribute among patients with breast cancer (relative importance [RI] 37.17%), while remote contact services were prioritized by patients with prostate (RI 43.50%) and colorectal cancer (RI 33.01%). The uptake rate of an alternative care model integrating PHC increased compared with the baseline setting when patients were provided with preferred services (continuity of care, individualized care plans, and remote contact services).

CONCLUSION

To encourage older cancer patients to use PHC-integrated follow-up care, alternative follow-up care models need to be based on patients' preferences before introducing them as a routine option.

Investigating the influencing factors of vaccination decisions for newly developed and established vaccines: a comparative study based on latent class logit models in China

Background

The factors influencing vaccination decision-making for newly developed vaccines may be similar to and different from those for established vaccines. Understanding these underlying differences and similarities is crucial for designing targeted measures to promote new vaccines against potential novel viruses.

Objective

This study aims to compare public vaccination decisions for newly developed and established vaccines and to identify the differences and similarities in the influencing factors.

Method

A discrete choice experiment (DCE) was conducted on 1,509 representatives of the general population in China to collect data on preferences for the coronavirus disease 2019 (COVID-19) and influenza vaccines, representing the newly developed and established vaccines, respectively. The latent class logit model was used to identify latent classes within the sample, allowing for an analysis of the factors distinctly influencing choices for both types of vaccines.

Result

Participants valued similar attributes for both vaccines. However, concerns about sequelae were more significant for the newly developed vaccine, while effectiveness was prioritized for the established vaccine. Class membership analysis revealed these differences and similarities were significantly correlated with age, health, yearly household income, acquaintances' vaccination status, and risk perception.

Conclusion

The study highlights the need for tailored communication strategies and targeted vaccination interventions. For the newly developed vaccines, addressing concerns about side effects is more crucial. For long-standing vaccines, emphasizing their effectiveness can enhance uptake more significantly. Engaging healthcare providers and community influencers is essential for both vaccines to increase public confidence and vaccination rates. Clear communication and community engagement are critical strategies for addressing public concerns and misinformation, particularly during periods of heightened concern.

Patient preferences for inflammatory bowel disease treatments: protocol development of a global preference survey using a discrete choice experiment

Background

As the therapeutic landscape for inflammatory bowel disease (IBD) continues to expand, a need exists to understand how patients perceive and value different attributes associated with their disease as well as with current and emerging treatments. These insights can inform the development and regulation of effective interventions for IBD, benefiting various stakeholders including healthcare professionals, drug developers, regulators, Health Technology Assessment bodies, payers, and ultimately patients suffering from IBD. In response to this, the present patient preference study was developed with the aim to (1) determine the relative preference weights for IBD treatment and disease related attributes, and (2) explain how preferences may differ across patients with different characteristics (preference heterogeneity).

Methods

The patient preference study (PPS) was developed through an 8-step process, with each step being informed by an advisory board. This process included: (1) stated preference method selection, (2) attribute and level development (including a scoping literature review, focus group discussions, and advisory board meetings), (3) choice task construction, (4) sample size estimation, (5) survey implementation, (6) piloting, (7) translation, and (8) pre-testing. The resulting discrete choice experiment (DCE) survey comprises 14 attributes with between two and five varying levels. Participants will answer 15 DCE questions with a partial profile design, where each of the choice questions encompasses two hypothetical treatment profiles showing four attributes. Additionally, questions about patients' socio-demographic and clinical characteristics, as well as contextual factors are implemented. The survey is available in 15 different languages and aims to minimally recruit 700 patients globally.

Discussion

This protocol gives valuable insights toward preference researchers and decision-makers on how PPS design can be transparently reported, demonstrating solutions to remaining gaps in preference research. Results of the PPS will provide evidence regarding the disease and treatment related characteristics that are most important for IBD patients, and how these may differ across patients with different characteristics. These findings will yield valuable insights applicable to preference research, drug development, regulatory approval, and reimbursement processes, enabling decision making across the medicinal product life cycle that is aligned with the true needs of IBD patients.

Understanding general practitioner and pharmacist preferences for pharmacogenetic testing in primary care: a discrete choice experiment

Pharmacogenetic testing in the United Kingdom's National Health Service (NHS) has historically been reactive in nature, undertaken in the context of single gene-drug relationships in specialist settings. Using a discrete choice experiment we aimed to identify healthcare professional preferences for development of a pharmacogenetic testing service in primary care in the NHS. Respondents, representing two professions groups (general practitioners or pharmacists), completed one of two survey versions, asking them to select their preferred pharmacogenetic testing service in the context of a presentation of low mood or joint pain. Responses from 235 individuals were included. All respondents preferred pharmacogenetic testing over no testing, though preference heterogeneity was identified. Both professional groups, but especially GPs, were highly sensitive to service design, with uptake varying depending on the service offered. This study demonstrates uptake of a pharmacogenetic testing service is impacted by service design and highlights key areas which should be prioritised within future initiatives.

Analyzing HPV Vaccination Service Preferences among Female University Students in China: A Discrete Choice Experiment

OBJECTIVE

Despite being primary beneficiaries of human papillomavirus (HPV) vaccines, female university students in China exhibit low vaccination rates. This study aimed to assess their preferences for HPV vaccination services and evaluate the relative importance of various factors to inform vaccination strategy development.

METHODS

Through a literature review and expert consultations, we identified five key attributes for study: effectiveness, protection duration, waiting time, distance, and out-of-pocket (OOP) payment. A D-efficient design was used to create a discrete choice experiment (DCE) questionnaire. We collected data via face-to-face interviews and online surveys from female students across seven universities in China, employing mixed logit and latent class logit models to analyze the data. The predicted uptake and compensating variation (CV) were used to compare different vaccination service scenarios.

RESULTS

From 1178 valid questionnaires, with an effective response rate of 92.9%, we found that effectiveness was the most significant factor influencing vaccination preference, followed by protection duration, OOP payment and waiting time, with less concern for distance. The preferred services included a 90% effective vaccine, lifetime protection, a waiting time of less than three months, a travel time of more than 60 min, and low OOP payment. Significant variability in preferences across different vaccination service scenarios was observed, affecting potential market shares. The CV analysis showed female students were willing to spend approximately CNY 5612.79 to include a hypothetical 'Service 5' (a vaccine with higher valency than the nine-valent HPV vaccine) in their prevention options.

CONCLUSIONS

The findings underscore the need for personalized, need-based HPV vaccination services that cater specifically to the preferences of female university students to increase vaccination uptake and protect their health.

Protocol for a discrete choice experiment: understanding preferences for seeking health services for survivors of sexual violence in Uganda

INTRODUCTION

Sexual violence is a significant public health concern with severe physical, social and psychological consequences, which can be mitigated by health service utilisation. However, in Uganda and much of sub-Saharan Africa, these services are significantly underused, with 9 out of 10 survivors not seeking care due to a range of psychological, cultural, economic and logistical factors. Thus, there is a strong need for research to improve health service utilisation for survivors of sexual violence.

METHODS AND ANALYSIS

The proposed study seeks to address the underutilization of health services for female survivors of sexual violence using a discrete choice experiment (DCE). The study will be conducted in the greater Masaka region of southwestern Uganda and target adult female survivors of sexual violence. We will first undertake qualitative interviews with 56 survivors of sexual violence to identify the key attributes and levels of the DCE. In order to ensure a sufficiently powered sample, 312 women who meet inclusion criteria will be interviewed. Our primary analysis will employ a mixed (random parameters) logit model. We will also model the role of individual-specific characteristics through latent class models.

ETHICS AND DISSEMINATION

The study protocol was reviewed and approved by the following ethics review boards in Uganda and the USA: the Uganda Virus Research Institute (UVRI), the Uganda National Council for Science and Technology (HS2364ES), Washington University in St Louis and the University of Michigan. Our methods conform to established guidelines for the protection of human subjects involved in research. Our dissemination plan targets a broad audience, ranging from policymakers and government agencies to healthcare providers, academic communities and survivors themselves.

Would plain packaging and health warning labels reduce smoking in the presence of informal markets? A choice experiment in Colombia

BACKGROUND

Despite progress made by many countries on the adoption of plain tobacco packaging laws over the last years, low- and middle-income countries, with a large supply of loose cigarettes via informal vendors, remain far behind.

AIM

To study the potential effectiveness of plain tobacco packaging and dissuasive cigarette sticks, via willingness-to-pay estimates, when illicit cigarette options are available.

METHODS

We conducted a discrete choice experiment (DCE) in which respondents chose licit and illicit products with three attributes: packaging (standard vs. plain packaging), stick design (branded stick vs. stick with warning), and price level. The sample, collected on 12/2021, consisted of 1761 respondents from an internet panel involving smokers and nonsmokers. Conditional logit and latent class models were used to estimate the willingness-to-pay (WTP) to avoid restrictive packaging elements.

RESULTS

Nonsmokers are willing to pay USD $5.63 for a pack of cigarettes to avoid plain packaging, which is higher than the actual commercial price of illicit cigarettes (USD $2.40). The WTP increases to USD $12.14 in the presence of illicit alternatives. Smokers are also willing to pay to avoid illicit options, which they also deem riskier, and the presence of such options increases the WTP to avoid plain packaging. However, nonsmokers do not perceive the illicit option as riskier. The dissuasive stick (stick with warning) does not affect perceptions of risk and plays a small role in terms of choice for both smokers and nonsmokers.

CONCLUSIONS

Even in the presence of illicit tobacco alternatives, plain packaging seems to be as effective in reducing the attractiveness of tobacco products in Colombia as in other countries that have already adopted it. Given conflicting results on the case for dissuasive sticks, there is a need for more research.

Developing feasible person-centred care alternatives to emergency department responses for adults with epilepsy: a discrete choice analysis mixed-methods study

Background

Calls have been made for paramedics to have some form of care pathway that they could use to safely divert adults with epilepsy away from emergency departments and instigate ambulatory care improvements. Different configurations are possible. To know which to prioritise for implementation/evaluation, there is a need to determine which are acceptable to service users and likely National Health Service-feasible.

Objective(s)

(1) Identify configurations being considered, (2) understand service users' views of them and current provision, (3) identify what sort of care service users want and (4) determine which configuration(s) is considered to achieve optimal balance in meeting users' preference and being National Health Service-feasible.

Design

Service providers were surveyed to address objective 1. Interviews with service users addressed objective 2. Objective 3 was addressed by completing discrete choice experiments. These determined users' care preferences for different seizure scenarios. Objective 4 was addressed by completing 'knowledge exchange' workshops. At these, stakeholders considered the findings on users' stated preferences and judged different pathway configurations against Michie's 'acceptability, practicability, effectiveness, affordability, side-effects and equity' feasibility criteria.

Setting

This project took place in England. The survey recruited representatives from neurology and neuroscience centres and from urgent and emergency care providers. For the interviews, recruitment occurred via third-sector support groups. Recruitment for discrete choice experiments occurred via the North West Ambulance Service NHS Trust and public advert. Workshop participants were recruited from neurology and neuroscience centres, urgent and emergency care providers, support groups and commissioning networks.

Participants

Seventy-two services completed the survey. Interviews were conducted with 25 adults with epilepsy (and 5 relatives) who had emergency service contact in the prior 12 months. Discrete choice experiments were completed by 427 adults with epilepsy (and 167 relatives) who had ambulance service contact in the prior 12 months. Workshops were completed with 27 stakeholders.

Results

The survey identified a range of pathway configurations. They differed in where they would take the patient and their potential to instigate ambulatory care improvements. Users had been rarely consulted in designing them. The discrete choice experiments found that users want a configuration of care markedly different to that offered. Across the seizure scenarios, users wanted their paramedic to have access to their medical records; for an epilepsy specialist (e.g. an epilepsy nurse, neurologist) to be available to advise; for their general practitioner to receive a report; for the incident to generate an appointment with an epilepsy specialist; for the care episode to last < 6 hours; and there was a pattern of preference to avoid conveyance to emergency departments and stay where they were. Stakeholders judged this configuration to be National Health Service-feasible within 5-10 years, with some elements being immediately deployable.

Limitations

The discrete choice experiment sample was broadly representative, but those reporting recent contact with an epilepsy specialist were over-represented.

Conclusions

Users state they want a configuration of care that is markedly different to current provision. The configuration they prefer was, with support and investment, judged to likely be National Health Service-feasible. The preferred configuration should now be developed and evaluated to determine its actual deliverability and efficacy.

Study registration

The study is registered as researchregistry4723.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/62) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 24. See the NIHR Funding and Awards website for further award information.

What outcomes do patients value after orthopaedic trauma: A best-worst scaling choice experiment

INTRODUCTION

Patient-centered treatment and research should focus on the outcomes that matter to patients. The primary aim of this study was to determine the outcome preferences of patients after musculoskeletal trauma. The secondary aim was to identify discrepancies between outcome preferences of surgeons and patients.

METHODS

A Best-worst scaling choice experiment survey was administered to patients with operative lower extremity injuries and orthopaedic surgeons who take trauma call. Participants completed 13 choice sets of 3 randomly-ordered outcomes, including: a full recovery (back to normal) without any problems; a problem that requires additional surgery or hospital stay versus medication or treatment in clinic/emergency department; minimal to moderate versus severe pain for 6 weeks; need for crutches/walker versus wheelchair for 6-12 weeks; being unable to work for 6-12 weeks; requiring 2-4 weeks in a facility; a perfect versus poor or worst-possible EuroQol 5 Dimension (EQ-5D) score at 1 year; and death. Within each set, participants ranked their "most-preferred" to "least-preferred" outcomes. Responses were aggregated to calculate the relative importance, or marginal utility, of each outcome stratified by respondent type.

RESULTS

Fifty-five patients and 65 surgeons participated. The most preferred outcome for patients and surgeons was a full recovery (back to normal) without any problems, followed by minimal to moderate pain for 6 weeks and a perfect EQ-5D score. The least preferred outcomes were death and the worst EQ-5D score, which had similar marginal utility, followed by a poor EQ-5D score and a problem that needs another surgery or stay at a hospital, which also had similar marginal utility. Surgeons, in comparison to patients, assigned a higher marginal utility to perfect EQ-5D scores at one year (3.55 vs. 2.03; p < 0.0001) and a 2-4 week stay in a facility (0.52 vs. -0.21; p = 0.001), and a lower marginal utility to severe pain for 6 weeks (-0.58 vs. -0.08; p = 0.04) and a poor EQ-5D score (-1.88 vs. -1.03; p = 0.02).

CONCLUSIONS

A full recovery (back to normal) without any problems was the most-preferred outcome for both patients and surgeons. Patient-centered care and research should focus on both patients' return to baseline and the avoidance of complications.

LEVEL OF EVIDENCE

N/A.

Public Heterogeneous Preferences for Low-Dose Computed Tomography Lung Cancer Screening Service Delivery in Western China: A Discrete Choice Experiment

BACKGROUND

Lung cancer screening (LCS) with low-dose computed tomography (LDCT) is an efficient method that can reduce lung cancer mortality in high-risk individuals. However, few studies have attempted to measure the preferences for LDCT LCS service delivery. This study aimed to generate quantitative information on the Chinese population's preferences for LDCT LCS service delivery.

METHODS

The general population aged 40 to 74 in the Sichuan province of China was invited to complete an online discrete choice experiment (DCE). The DCE required participants to answer 14 discrete choice questions comprising five attributes: facility levels, facility ownership, travel mode, travel time, and out-of-pocket cost. Choice data were analyzed using mixed logit and latent class logit (LCL) models.

RESULTS

The study included 2529 respondents, with 746 (29.5%) identified as being at risk for lung cancer. Mixed logit model (MLM) analysis revealed that all five attributes significantly influenced respondents' choices. Facility levels had the highest relative importance (44.4%), followed by facility ownership (28.1%), while out-of-pocket cost had the lowest importance (6.4%). The at-risk group placed relatively more importance on price and facility ownership compared to the non-risk group. LCL model identified five distinct classes with varying preferences.

CONCLUSION

This study revealed significant heterogeneity in preferences for LCS service attributes among the Chinese population, with facility level and facility ownership being the most important factors. The findings underscore the need for tailored strategies targeting different subgroup preferences to increase screening participation rates and improve early detection outcomes.

Elicitation of societal preferences for chronic lymphocytic leukemia's treatments: a discrete choice experiment

The overall value of treatments for chronic lymphocytic leukemia (CLL) depends on several factors, including preferences of the general population, who contributes to the financing of health systems. This study investigated societal preferences for attributes of CLL treatments in Italy. An online large-scale survey was designed using a discrete choice experiment (DCE) methodology and delivered to the Italian adult general population. Ten treatment attributes were identified, covering efficacy, safety, operational aspects and (hypothetical) out-of-pocket cost. DCE data were analyzed using a mixed logit regression model, estimating the willingness-to-pay for attribute levels' change. The general population significantly preferred more effective treatments, with shorter duration, administered orally rather than orally + intravenously. Changes in therapy duration, frequency of checkups and organ damage risk had the greatest impact on preferences. The integration of societal preferences in the value judgments of CLL therapies may help health authorities in establishing priority setting and taking pricing-reimbursement decisions.

Residents Preferences for Pharmacist-Managed Clinic in China: A Discrete Choice Experiment

Purpose

This study aimed to survey and analyze the preferences for pharmacist-managed clinic among urban residents in China.

Materials and Methods

A discrete choice experiment was conducted in Nanjing, China. A D-efficient fractional factorial design was used to generate the questionnaire. Three models were used to investigate each patient's strength of preference and preference heterogeneity. The relative importance for each treatment attribute was also determined.

Results

156 usable questionnaires (of 228 questionnaires sent out) were received. Respondents preferred pharmacist-managed clinics with the following characteristics: good pharmacists' knowledge and clinical medication practice competency, lower consultation fees, a dedicated consultation room, physician-pharmacist joint clinic, with pharmacists' knowledge competency receiving the highest priority. Latent class analysis revealed three classes (Experiential Type, Content Type and Economic Type) were identified based on respondents' preferences for pharmacist-managed clinics.

Conclusion

The respondents were willing to choose a PMC relative to the current situation. When deciding on a pharmacist-managed clinic, residents are driven by pharmacists' competency, consultation fee, availability of consultation rooms and collaborative care or independent pharmacist service. Differences in patients' preferences identified in the study provide information on pharmacist-managed clinics that meet residents' expectations.

Obtaining preference scores for an abbreviated self-completion version of the Teen-Addiction Severity Index (ASC T-ASI) to value therapy outcomes of systemic family interventions: a discrete choice experiment

BACKGROUND

Systemic family interventions for adolescents with problems of substance use and/or delinquency are increasingly focused subject of economic evaluations. Treatment effects go beyond improvements in commonly measured health-related quality of life (HRQOL). The Teen-Addiction Severity Index (T-ASI) was identified as capable of capturing these broad outcomes. However, it lacks preference-based scores. An abbreviated self-completion version (ASC T-ASI) was created and validated, covering the T-ASI domains substance use, school, work, family, social relationships, justice, and mental health. This study aimed to obtain societal preference scores for the ASC T-ASI.

METHODS

Preferences were elicited in a sample of the Dutch general adult population (n = 1500), using a web-based Discrete Choice Experiment. Choice tasks included two unlabeled alternatives with attributes and levels corresponding to the domains and levels of the ASC T-ASI. A pilot study (n = 106) informed priors, optimal presentation, and number of choice tasks applied in the main study. Data were analyzed using a mixed multinomial logit model.

RESULTS

Preference scores were logically ordered, with lower scores for worse ASC T-ASI states. Scores were most influenced by reductions in problems concerning the domains substance use, mental health, justice, and family. Tariffs were calculated for each ASC T-ASI state, ranging from 0 (worst situation) to 1 (best situation).

CONCLUSIONS

The tariffs enable preference-based assessments of the broad effects of systemic family interventions for adolescents with problems of substance use and/or delinquency. The outcome reflects addiction-related rather than health-related utility and can be used next to generic HRQOL instruments in relevant economic evaluations. Given the source used for the preferences, interpretations and valuation of scores require attention.

Preferences of Young Adults With Psychosis for Cannabis-Focused Harm Reduction Interventions: A Cross-Sectional Study: Préférences des jeunes adultes souffrant de psychose pour les interventions de réduction des méfaits axées sur le cannabis : une étude transversale

OBJECTIVES

Cannabis use is common in people with early-phase psychosis (EP) and is associated with worse treatment outcomes. Few targeted interventions for cannabis use behaviour in this population exist, most focusing on abstinence, none focusing on harm reduction. Many people with EP will not seek treatment for their cannabis use with current therapeutic options. Understanding preferences for cannabis-focused harm reduction interventions may be key to improving outcomes. This study aimed to determine preferences of young adults with EP who use cannabis for cannabis-focused harm reduction interventions.

METHODS

Eighty-nine young adults across Canada with EP interested in reducing cannabis-related harms were recruited. An online questionnaire combining conventional survey methodology and two unique discrete choice experiments (DCEs) was administered. One DCE focused on attributes of core harm reduction interventions (DCE 1) and the second on attributes of boosters (DCE 2). We analysed these using mixed ranked-ordered logistic regression models. Preference questions using conventional survey methodology were analysed using summary statistics.

RESULTS

Preferred characteristics for cannabis-focused harm reduction interventions (DCE 1) were: shorter sessions (60 min vs. 10 min, odds ratio (OR): 0.72; P < 0.001); less frequent sessions (daily vs. monthly, OR: 0.68; P < 0.001); shorter interventions (3 months vs. 1 month, OR: 0.80; P < 0.01); technology-based interventions (vs. in-person, OR: 1.17; P < 0.05). Preferences for post-intervention boosters (DCE 2) included opting into boosters (vs. opting out, OR: 3.53; P < 0.001) and having shorter boosters (3 months vs. 1 month, OR: 0.79; P < 0.01). Nearly half of the participants preferred to reduce cannabis use as a principal intervention goal (vs. using in less harmful ways or avoiding risky situations).

CONCLUSIONS

Further research is required to see if technology-based harm reduction interventions for cannabis featuring these preferences translate into greater engagement and improved outcomes in EP patients.

Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire

PURPOSE

This study aimed to develop a Japanese value set for the EORTC QLU-C10D, a multi-attribute utility measure derived from the cancer-specific health-related quality-of-life (HRQL) questionnaire, the EORTC QLQ-C30. The QLU-C10D contains ten HRQL dimensions: physical, role, social and emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems.

METHODS

Quota sampling of a Japanese online panel was used to achieve representativeness of the Japanese general population by sex and age (≥ 18 years). The valuation method was an online discrete choice experiment. Each participant considered 16 choice pairs, randomly assigned from 960 choice pairs. Each pair included two QLU-C10D health states and life expectancy. Data were analyzed using conditional logistic regression, parameterized to fit the quality-adjusted life-year framework. Preference weights were calculated as the ratio of each dimension-level coefficient to the coefficient for life expectancy.

RESULTS

A total of 2809 eligible panel members consented, 2662/2809 (95%) completed at least one choice pair, and 2435/2662 (91%) completed all choice pairs. Within dimensions, preference weights were generally monotonic. Physical functioning, role functioning, and pain were associated with the largest utility weights. Intermediate utility weights were associated with social functioning and nausea; the remaining symptoms and emotional functioning were associated with smaller utility decrements. The value of the worst health state was - 0.221, lower than that seen in most other existing QLU-C10D country-specific value sets.

CONCLUSIONS

The Japan-specific QLU-C10D value set is suitable for evaluating the cost and utility of oncology treatments for Japanese health technology assessment and decision-making.

What Breast Cancer Screening Program do Rural Women Prefer? A Discrete Choice Experiment in Jiangsu, China

BACKGROUND

Chinese rural women aged 35-64 years are encouraged to complete breast cancer screening (BCS) free of charge. However, it is challenging to reach a satisfying BCS uptake rate. In this study, rural women's preferences and preferences heterogeneity were measured for the development of strategies to enhance participation in BCS.

METHODS

A cross-sectional survey with a discrete choice experiment (DCE) was conducted via convenience sampling via face-to-face interviews in Jiangsu, China. Six DCE attributes were identified through a systematic literature review; our previous study of Chinese rural women's BCS intentions; a qualitative work involving in-depth interviews with rural women (n = 13), medical staff (n = 4), and health care managers (n = 2); and knowledge of realistic and actionable policy. The D-efficient design was generated using Ngene 1.3.0. A mixed logit model (MXL) in Stata 18.0 was used to estimate the main effect of attribute levels on rural women's preferences. The relative importance and willingness to utilize BCS services (WTU) were also estimated. The heterogeneous preferences were analyzed by a latent class model (LCM). Sociodemographic status was used to predict the characteristics of class membership. The WTU for different classes was also calculated.

RESULTS

A total of 451 rural women, aged 35-64 years, were recruited. The MXL results revealed that the screening interval (SI) was the most important attribute for rural women with regard to utilizing BCS services, followed by the level of screening, the attitude of medical staff, ways to get knowledge and information, people who recommend screening, and time spent on screening (TSS). Rural women preferred a BCS service with a shorter TSS; access to knowledge and information through multiple approaches; a shorter SI; a recommendation from medical staff or workers from the village or community, and others; the enthusiasm of medical staff; and medical staff with longer tenures in the field. Two classes named "process driven" and "efficiency driven" were identified by the preference heterogeneity analysis of the LCM.

CONCLUSION

There is a higher uptake of breast cancer screening when services are tailored to women's preferences. The screening interval was the most important attribute for rural women in China with a preference for a yearly screening interval versus longer intervals.

Treatment options for patients with pilonidal sinus disease: PITSTOP, a mixed-methods evaluation

Background

There is no consensus on optimal management of pilonidal disease. Surgical practice is varied, and existing literature is mainly single-centre cohort studies of varied disease severity, interventions and outcome assessments.

Objectives

A prospective cohort study to determine: • disease severity and intervention relationship • most valued outcomes and treatment preference by patients • recommendations for policy and future research.

Design

Observational cohort study with nested mixed-methods case study. Discrete choice experiment. Clinician survey. Three-stage Delphi survey for patients and clinicians. Inter-rater reliability of classification system.

Setting

Thirty-one National Health Service trusts.

Participants

Patients aged > 16 years referred for elective surgical treatment of pilonidal disease.

Interventions

Surgery.

Main outcome measures

Pain postoperative days 1 and 7, time to healing and return to normal activities, complications, recurrence. Outcomes compared between major and minor procedures using regression modelling, propensity score-based approaches and augmented inverse probability weighting to account for measured potential confounding features.

Results

Clinician survey: There was significant heterogeneity in surgeon practice preference. Limited training opportunities may impede efforts to improve practice. Cohort study: Over half of patients (60%; N = 667) had a major procedure. For these procedures, pain was greater on day 1 and day 7 (mean difference day 1 pain 1.58 points, 95% confidence interval 1.14 to 2.01 points, n = 536; mean difference day 7 pain 1.53 points, 95% confidence interval 1.12 to 1.95 points, n = 512). There were higher complication rates (adjusted risk difference 17.5%, 95% confidence interval 9.1 to 25.9%, n = 579), lower recurrence (adjusted risk difference -10.1%, 95% confidence interval -18.1 to -2.1%, n = 575), and longer time to healing (>34 days estimated difference) and time to return to normal activities (difference 25.9 days, 95% confidence interval 18.4 to 33.4 days). Mixed-methods analysis: Patient decision-making was influenced by prior experience of disease and anticipated recovery time. The burden involved in wound care and the gap between expected and actual time for recovery were the principal reasons given for decision regret. Discrete choice experiment: The strongest predictors of patient treatment choice were risk of infection/persistence (attribute importance 70%), and shorter recovery time (attribute importance 30%). Patients were willing to trade off these attributes. Those aged over 30 years had a higher risk tolerance (22.35-34.67%) for treatment failure if they could experience rapid recovery. There was no strong evidence that younger patients were willing to accept higher risk of treatment failure in exchange for a faster recovery. Patients were uniform in rejecting excision-and-leave-open because of the protracted nursing care it entailed. Wysocki classification analysis: There was acceptable inter-rater agreement (κ = 0.52, 95% confidence interval 0.42 to 0.61). Consensus exercise: Five research and practice priorities were identified. The top research priority was that a comparative trial should broadly group interventions. The top practice priority was that any interventions should be less disruptive than the disease itself.

Limitations

Incomplete recruitment and follow-up data were an issue, particularly given the multiple interventions. Assumptions were made regarding risk adjustment.

Conclusions and future work

Results suggest the burden of pilonidal surgery is greater than reported previously. This can be mitigated with better selection of intervention according to disease type and patient desired goals. Results indicate a framework for future higher-quality trials that stratify disease and utilise broad groupings of common interventions with development of a patient-centred core outcome set.

Trial registration

This trial is registered as ISRCTN95551898.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/17/02) and is published in full in Health Technology Assessment; Vol. 28, No. 33. See the NIHR Funding and Awards website for further award information.

Would you zoom with your doctor? A discrete choice experiment to identify patient preferences for video and in-clinic consultations in German primary care

INTRODUCTION

The popularity of video consultations in healthcare has accelerated during the COVID-19 pandemic. Despite increased availability and obvious benefits, many patients remain hesitant to use video consultations. This study investigates the relative importance of the consultation mode compared to other attributes in patients' appointment choices in Germany.

METHODS

A discrete choice experiment was conducted to examine the influence of appointment attributes on preferences for video over in-clinic consultations. A total of 350 participants were included in the analysis.

RESULTS

The level of continuity of care (46%) and the waiting time until the next available appointment (22%) were shown to have higher relative importance than consultation mode (18%) and other attributes. Participants with fewer data privacy concerns, higher technology proficiency, and more fear of COVID-19 tended to prefer video over in-clinic consultations. The predicted choice probability of a video over a typical in-clinic consultation and opting out increased from <1% to 40% when the video consultation was improved from the worst-case to the best-case scenario.

CONCLUSION

This study provides insight into the effect of the consultation mode on appointment choice at a time when telemedicine gains momentum. The results suggest that participants preferred in-clinic over video consultations. Policymakers and service providers should focus on increasing the level of continuity of care and decreasing the time until the next available appointment to prompt the adoption of video consultations. Although participants preferred to talk to their physician in person over consulting via video per se, the demand for video consultations can be increased significantly by improving the other appointment attributes of video consultations such as the level of continuity of care.

Risk-Adapted Breast Screening for Women at Low Predicted Risk of Breast Cancer: An Online Discrete Choice Experiment

BACKGROUND

A risk-stratified breast screening program could offer low-risk women less screening than is currently offered by the National Health Service. The acceptability of this approach may be enhanced if it corresponds to UK women's screening preferences and values.

OBJECTIVES

To elicit and quantify preferences for low-risk screening options.

METHODS

Women aged 40 to 70 y with no history of breast cancer took part in an online discrete choice experiment. We generated 32 hypothetical low-risk screening programs defined by 5 attributes (start age, end age, screening interval, risk of dying from breast cancer, and risk of overdiagnosis), the levels of which were systematically varied between the programs. Respondents were presented with 8 choice sets and asked to choose between 2 screening alternatives or no screening. Preference data were analyzed using conditional logit regression models. The relative importance of attributes and the mean predicted probability of choosing each program were estimated.

RESULTS

Participants (N = 502) preferred all screening programs over no screening. An older starting age of screening, younger end age of screening, longer intervals between screening, and increased risk of dying had a negative impact on support for screening programs (P < 0.01). Although the risk of overdiagnosis was of low relative importance, a decreased risk of this harm had a small positive impact on screening choices. The mean predicted probabilities that risk-adapted screening programs would be supported relative to current guidelines were low (range, 0.18 to 0.52).

CONCLUSIONS

A deintensified screening pathway for women at low risk of breast cancer, especially one that recommends a later screening start age, would run counter to women's breast screening preferences. Further research is needed to enhance the acceptability of offering less screening to those at low risk of breast cancer.

HIGHLIGHTS

Risk-based breast screening may involve the deintensification of screening for women at low risk of breast cancer.Low-risk screening pathways run counter to women's screening preferences and values.Longer screening intervals may be preferable to a later start age.Work is needed to enhance the acceptability of a low-risk screening pathway.

Pandemic Fatigue and Preferences for COVID-19 Public Health and Social Measures in China: Nationwide Discrete Choice Experiment

BACKGROUND

Information on the public's preferences for current public health and social measures (PHSMs) and people's mental health under PHSMs is insufficient.

OBJECTIVE

This study aimed to quantify the public's preferences for varied PHSMs and measure the level of pandemic fatigue in the COVID-19 normalization stage in China.

METHODS

A nationwide cross-sectional study with a discrete choice experiment and psychometric scales was conducted to assess public preferences for and attitudes toward PHSMs, using the quota sampling method. The COVID-19 Pandemic Fatigue Scale (CPFS) was used to screen fatigue levels among respondents. The multinomial logit model, latent class model, and Mann-Whitney test were used for statistical analysis. We also conducted subgroup analysis based on sex, age, monthly income, mental health status, and pandemic fatigue status.

RESULTS

A total of 689 respondents across China completed the survey. The discrete choice experiment revealed that respondents attached the greatest importance to the risk of COVID-19 infection within 3 months (45.53%), followed by loss of income within 3 months (30.69%). Vulnerable populations (low-income populations and elderly people) were more sensitive to the risk of infection, while younger respondents were more sensitive to income loss and preferred nonsuspension of social places and transportation. Migrants and those with pandemic fatigue had less acceptance of the mandatory booster vaccination and suspension of transportation. Additionally, a higher pandemic fatigue level was observed in female respondents, younger respondents, migrants, and relatively lower-income respondents (CPFS correlation with age: r=-0.274, P<.001; correlation with monthly income: r=-0.25, P<.001). Mandatory booster COVID-19 vaccination was also not preferred by respondents with a higher level of pandemic fatigue, while universal COVID-19 booster vaccination was preferred by respondents with a lower level of pandemic fatigue.

CONCLUSIONS

Pandemic fatigue is widely prevalent in respondents across China, and respondents desired the resumption of normal social life while being confronted with the fear of COVID-19 infection in the normalization stage of COVID-19 in China. During future pandemics, the mental burden and adherence of residents should be considered for the proper implementation of PHSMs.

Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China

BACKGROUND

Shared decision-making (SDM) is a patient-centred approach to improve the quality of care. An essential requirement for the SDM process is to be fully aware of patient information needs.

OBJECTIVES

Our study aimed to assess patient information needs for new antidiabetic medications using the best-worst scaling (BWS) experiment.

METHODS

BWS tasks were developed according to a literature review and the focus group discussion. We used a balanced incomplete block design and blocking techniques to generate choice sets. The final BWS contains 11 attributes, with 6-choice scenarios in each block. The one-to-one, face-to-face BWS survey was conducted among type 2 diabetic patients in Jiangsu Province. Results were analyzed using count-based analysis and modelling approaches. We also conducted a subgroup analysis to observe preference heterogeneity.

RESULTS

Data from 539 patients were available for analysis. The most desired information domain was the comparative effectiveness of new antidiabetic medications. It consists of the incidence of macrovascular complications, the length of extended life years, changes in health-related quality of life, the incidence of microvascular complications, and the control of glycated haemoglobin. Of all the attributes, the incidence of macrovascular complications was the primary concern. Patients' glycemic control and whether they had diabetes complications exerted a significant influence on their information needs.

CONCLUSIONS

Information on health benefits is of critical significance for diabetic patients. Patients have different information needs as their disease progresses. Personalized patient decision aids that integrate patient information needs and provide evidence of new antidiabetic medications are worthy of being established.

PATIENT OR PUBLIC CONTRIBUTION

Before data collection, a pilot survey was carried out among diabetic patients to provide feedback on the acceptability and intelligibility of the attributes.

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

OBJECTIVES

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

METHODS

DESIGN

Discrete choice experiment.

SETTING

Three US Level 1 trauma centers.

PATIENT SELECTION CRITERIA

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

OUTCOME MEASURES AND COMPARISONS

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

RESULTS

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

CONCLUSIONS

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

Preference heterogeneity for HIV pre-exposure prophylaxis care among gay, bisexual, and other men who have sex with men in the United States: a large discrete choice experiment

Background

PrEP uptake among Black and Latino gay, bisexual, and other men who have sex with men (GBM) remains low in the United States. The design and implementation of PrEP delivery programs that incorporate the preferences of Black and Latino GBM may overcome barriers to uptake. We aimed to identify preferences for PrEP care among high-priority GBM in the U.S. with a large discrete choice experiment.

Methods

We conducted two discreet choice experiments (DCE) to elicit care preferences for (1) Starting PrEP and (2) Continuing PrEP care among GBM clinically indicated for PrEP. The DCE web-based survey was nested in a longitudinal cohort study of GBM in the U.S., implemented with video and audio directions among 16-49 year-old participants, not using PrEP, and verified to be HIV-negative. All participants were presented with 16 choice sets, with choices determined by BLGBM and PrEP implementation stakeholders. We calculated overall utility scores and relative importance and used latent class analyses (LCA) to identify classes within the Starting and Continuing PrEP DCE. Multivariable analysis was performed to identify factors associated with class membership.

Findings

Among 1514 participants, mean age was 32 years; 46·5% identified as Latino, 21·4% Black, and 25·2 White; 37·5% had an income less than USD $20,000. Two latent classes were identified for Starting PrEP: Class 1 (n=431 [28·5%]) was driven by preference for more traditional in-person care, and Class 2 (n=1083 [71·5%]) preferred flexible care options and on-demand PrEP. In a multivariable model, having a sexual health doctor (adjusted OR 0·7, CI 0·5, 0·9), having a primary care provider (OR 0·7,CI 0·5, 0·9, p= 0·023), and concerns over PrEP side effects (OR 1·1, CI 1·0,1·2, p= 0·003) were all associated with class membership.

Interpretation

The different preferences identified for PrEP care indicate the need for diverse care and formulation choices to improve PrEP uptake and persistence. Addressing these preferences and understanding the factors that shape them can inform the implementation of programs that increase PrEP uptake.

A pilot study on preferences from surgeons to deal with an innovative customized and connected knee prosthesis - A discret choice experiment

Background

To address the increasing global demand for Total Knee Arthroplasty and reduce the need for revisions, several technologies combining 3D planning and artificial intelligence have emerged. These innovations aim to enhance customization, improve component positioning accuracy and precision. The integration of these advancements paves the way for the development of personalized and connected knee implant.

Questions/purposes

These groundbreaking advancements may necessitate changes in surgical practices. Hence, it is important to comprehend surgeons' intentions in integrating these technologies into their routine procedures. Our study aims to assess how surgeons' preferences will affect the acceptability of using this new implant and associated technologies within the entire care chain.

Methods

We employed a Discrete Choice Experiment, a predictive technique mirroring real-world healthcare decisions, to assess surgeons' trade-off evaluations and preferences.

Results

A total of 90 experienced surgeons, performing a significant number of procedures annually (mostly over 51) answered. Analysis indicates an affinity for technology but limited interest in integrating digital advancements like preoperative software and robotics. However, they are receptive to practice improvements and considering the adoption of future sensors.

Conclusions

In conclusion, surgeons prefer customized prostheses via augmented reality, accepting extra cost. Embedded sensor technology is deemed premature by them.

Physician preferences for nonmetastatic castration-resistant prostate cancer treatment in China

Introduction

The treatment preferences of Chinese physicians who treat nonmetastatic castration-resistant prostate cancer (nmCRPC) and how they weigh the benefits and risks of nmCRPC treatment are still unknown. This study aimed to evaluate Chinese physicians' benefit-risk treatment preferences for nmCRPC and assist in setting nmCRPC treatment goals.

Methods

A paper-based discrete choice experiment (DCE) survey was administered to 80 nmCRPC-treating physicians. DCE responses were analyzed to produce the preference weight and the relative importance score for each attribute level. The marginal rate of substitution (MRS) was used to quantify the amount of overall survival (OS) physicians were willing to trade for a reduction in treatment-related adverse events (AEs). We further conducted the exploratory analysis, stratifying physicians from 5 perspectives into different subgroups and examining the treatment preferences and OS trade-off in each subgroup.

Results

In terms of efficacy attributes, physicians placed greater emphasis on OS than time to pain progression. With regard to safety attributes, serious fracture was perceived as the most important AE by physicians, followed by serious fall, cognitive problems, skin rash, and fatigue. In the exploratory analysis, we found generally that physicians with less clinical practice experience and those from more economically developed regions placed more emphasis on AEs and were willing to give up more of their patients' OS to reduce the risk of AEs.

Conclusion

Physicians from mainland China value the importance of minimizing treatment-related AEs when considering different treatment options for patients with nmCRPC, and they are willing to trade a substantial amount of OS to avoid AEs.

Employees' seeking preference towards influenza vaccination in organization: A discrete choice experiment in China

To clarify the preferences of employees seeking influenza vaccination, a discrete choice experiment aims to understand the essential factors that close the gap between intention and behavior. A total of 866 employees with vaccination willingness willing to participated in a discrete choice experiment (DCE) between October 31st and December 6th, 2022 in China including the following attributes: price, vaccination setting, appointment mode, and service time. The data was analyzed using mixed logit models. Employees from smaller enterprises were more likely to get vaccinated collectively. For employees willing to get the influenza vaccine, 95.08 % of their choice was dominated by price. Employees' behavior varied according to their socioeconomic characteristics. Only female employees strongly favored work-site-based vaccination. Price was the primary factor considered by employees for getting the influenza vaccine. DCE would help to develop influenza vaccination intervention targeted at different groups in future studies.

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

AIM

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

BACKGROUND

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

METHODS

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

FINDINGS

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

Priorities for contraceptive method and service delivery attributes among adolescent girls and young women in Kenya: a qualitative study

Introduction

Despite increasing global commitment to meeting the family planning needs of adolescent girls and young women (AGYW), there is limited research on how they prioritize contraceptive method and service delivery characteristics. In this qualitative study, we examine the specific elements that drive the contraceptive choices of Kenyan AGYW, and apply our findings to the development of attributes and levels for a discrete choice experiment (DCE).

Methods

Our four-stage approach included data collection, data reduction, removing inappropriate attributes, and optimizing wording. Between June-October 2021, we conducted in-depth interviews with 30 sexually-active 15-24 year-old AGYW in Kisumu county, Kenya who were non-pregnant and desired to delay pregnancy. Interviews focused on priorities for contraceptive attributes, how AGYW make trade-offs between among these attributes, and the influences of preferences on contraceptive choice. Translated transcripts were qualitatively coded and analyzed with a constant comparative approach to identify key concepts. We developed and iteratively revised a list of attributes and levels, and pre-tested draft DCE choice tasks using cognitive interviews with an additional 15 AGYW to optimize comprehension and relevance.

Results

In-depth interview participants' median age was 18, 70% were current students, and 93% had a primary sexual partner. AGYW named a variety of priorities and preferences related to choosing and accessing contraceptive methods, which we distilled into six key themes: side effects; effectiveness; user control; privacy; source of services; and cost. Bleeding pattern was top of mind for participants; amenorrhea was generally considered an intolerable side effect. Many participants felt more strongly about privacy than effectiveness, though some prioritized duration of use and minimizing chance of pregnancy above other contraceptive characteristics. Most AGYW preferred a clinic setting for access, as they desired contraceptive counseling from a provider, but pharmacies were considered preferable for reasons of privacy. We selected, refined, and pre-tested 7 DCE attributes, each with 2-4 levels.

Conclusions

Identifying AGYW preferences for contraceptive method and service delivery characteristics is essential to developing innovative strategies to meet their unique SRH needs. DCE methods may provide valuable quantitative perspectives to guide and tailor contraceptive counseling and service delivery interventions for AGYW who want to use contraception.