The preferences of people in Australia to respond and engage with advertisements to promote reproductive health: Results of a discrete choice experiment.

Objectives: The health of people prior to pregnancy impacts pregnancy outcomes and childhood health, making the preconception period an important time to optimise health behaviours. Low awareness of the importance of this issue is a recognised barrier to achieving good preconception health. Public health messaging can help to address this barrier. Methods: A discrete choice experiment to assess the preferences of people of reproductive age for a health promotion advertisement for preconception health was conducted. Attributes of the advertisement image, title, additional text content and positioning, and the location of advertisement were assessed by fitting a mixed logit model to the choices made. Results: Three hundred and thirty-four responses were obtained, from people of reproductive age, both planning and not planning a pregnancy, in Australia. Participants placed most importance on the image, and the location in which they saw the advertisement. An image of adult and baby hands was preferred to adult hands only, and healthcare settings were preferred to more general media locations such as advertising online or on public transport. Preference was also given to the advertisement title of "Healthy you, Healthy baby", closely followed by "Are you ready for pregnancy?". The location and content of additional text did not significantly impact engagement with the advertisement. Conclusion: The image and title on the advertisement, and the locations in which they are placed were the most significant features to impact engagement with a health promotion advertisement for preconception health. This can inform health promotion efforts for preconception health.

Community Preferences for the Care of Older People at the End of Life: How Important is the Disease Context?

BACKGROUND: Population preferences for care at the end of life can inform palliative care policy and direction. Research investigating preferences for care at the end of life has focused predominantly on the context of advanced cancer, with relatively little attention to other life-limiting illnesses that are common causes of death. OBJECTIVES: We aimed to investigate preferences for the care of older people at the end of life in three different disease contexts. The purpose was to understand if population preferences for care in the last 3 weeks of life would differ for patients dying from cancer, heart failure or dementia. METHODS: Three discrete choice experiments were conducted in Australia with a general population sample using similar methods but different end-of-life disease contexts. Some attributes were common across the three experiments and others differed to accommodate the specific disease context. Each survey was completed by a different panel sample aged ≥45 years (cancer, n = 1548; dementia, n = 1549; heart failure, n = 1003). Analysis was by separate mixed logit models. RESULTS: The most important attributes across all three surveys were costs to the patient and family, patient symptoms and informal carer stress. The probability of choosing an alternative was lowest (0.18-0.29) when any one of these attributes was at the least favourable level, holding other attributes constant across alternatives. The cancer survey explored symptoms more specifically and found patient anxiety with a higher relative importance score than the symptom attribute of pain. Dementia was the only context where most respondents preferred to not have a medical intervention to prolong life; the probability of choosing an alternative with a feeding tube was 0.40 (95% confidence interval 0.36-0.43). CONCLUSIONS: This study suggests a need for affordable services that focus on improving patient and carer well-being irrespective of the location of care, and this message is consistent across different disease contexts, including cancer, heart failure and dementia. It also suggests some different considerations in the context of people dying from dementia where medical intervention to prolong life was less desirable.

Understanding the valuation of paediatric health-related quality of life: a qualitative study protocol.

INTRODUCTION: There is evidence from previous studies that adults value paediatric health-related quality of life (HRQoL) and adult HRQoL differently. Less is known about how adolescents value paediatric HRQoL and whether their valuation and decision-making processes differ from those of adults. Discrete choice experiments (DCEs) are widely used to develop value sets for measures of HRQoL, but there is still much to understand about whether and how the methods choices in the implementation of DCE valuation tasks, such as format, presentation and perspective, affect the decision-making process of participants. This paper describes the protocol for a qualitative study that aims to explore the decision-making process of adults and adolescents when completing DCE valuation tasks. The study will also explore the impact of methodological choices in the design of DCE studies (including decisions about format and presentation) on participants' thinking process. METHODS AND ANALYSIS: An interview protocol has been developed using DCE valuation tasks. Interviews will be conducted online via Zoom with both an adolescent and adult sample. In the interview, the participant will be asked to go through some DCE valuation tasks while 'thinking aloud'. After completion of the survey, participants will then be asked some predetermined questions in relation to various aspects of the DCE tasks. Interviews will be recorded and transcribed and analysed using a thematic analysis approach. ETHICS AND DISSEMINATION: Ethics approval for this study has been received for the adult sample (UTS ETH20-9632) as well as the youth sample (UTS ETH22-6970) from the University of Technology Sydney Human Research Ethics Committee. Results from this study will inform the methods to be used in development of value sets for use in the health technology assessment of paediatric interventions and treatments. Findings from this study will also be disseminated through national/international conferences and peer-reviewed journals.

The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia.

BACKGROUND/AIMS: Discrete choice experiments (DCEs) with either duration included an attribute or with dead included as an option can be used as a stand-alone approach to value health states. This paper reports on a DCE with both of these features to develop an EQ-5D-5L value set for Australia. METHODS: A DCE was undertaken using a large Australian panel of internet respondents, from which a sample of more than 4000 Australian adults was chosen, stratified to be population representative on age and gender. The DCE contained 500 choice triplets, with two EQ-5D-5L health states with duration, and dead as the third option. Each respondent answered 12 choice sets from the 500, stating both the best and worst options from the three available. The design was constructed to estimate a utility algorithm with main effects plus some key interaction terms. A variety of approaches to parameterising interactions, and to anchoring the value set on the required 0-1 scale, were tested. A preferred Australian adult utility algorithm for use in cost-utility analysis was then generated. RESULTS: In total, 4477 people completed at least one choice set and were included in the analysis. The results reflected the monotonic structure of the EQ-5D-5L, in that moving from no problems to extreme problems led to worsening utility in each dimension. Inclusion of interaction terms demonstrates that the disutility of the first dimension moving to a poor level (defined as either level 5, or level 4 or 5) had a large impact, but subsequent dimensions moving to a poor level had a relatively smaller disutility. DISCUSSION: This work develops a value set for the EQ-5D-5L in Australia, and also provides a range of methodological insights which can inform future work using a stand-alone DCE to value health in other countries.

How can we encourage the provision of early medical abortion in primary care? Results of a best-worst scaling survey.

BACKGROUND: Almost onein four women in Australia experience an unintended pregnancy during their lifetime; of these, approximately 30% currently end in abortion. Although early medical abortion (EMA) up to 9weeks gestation is becoming more widely available in Australia, it is still not commonly offered in primary care. The aim of this study was to investigate the barriers and facilitators to the provision of EMA in primary care. METHODS: A sample of 150 general practitioners (GPs) and 150 registered nurses (RNs) working in Australia responded to a best-worst scaling survey designed to answer the following question: what are the most important facilitators and barriers to the provision of EMA in primary care? RESULTS: GPs believe that the lack of clinical guidelines, the amount of information provision and counselling required, and the fact that women who are not their patients may not return for follow-up are the most important barriers. For RNs, these three barriers, together with the stigma of being known as being involved in the provision of EMA, are the most important barriers. The formation of a community of practice to support the provision of EMA was identified by both professions as the most important facilitator. CONCLUSIONS: Having access to a community of practice, enhanced training and reducing stigma will encourage the provision of EMA. Although clinical guidelines are available, they need to be effectively disseminated, implemented and endorsed by peak bodies. Primary care practices should consider using task sharingand developing patient resources to facilitate the provision of information and counselling.

Responses to direct-to-consumer advertising in Australia: Comparing experience.

AbsractThis paper examines the potential effect of Direct-to-Consumer (DTC) advertising on consumers' behavioral intentions in relation to a medical issue. Using an online experiment, 1295 people were randomized to two information conditions. One group watched an advertisement for a hypothetical cold sore medicine, while a second (control) group did not view the advertisement, before both groups answered questions on symptoms. The responses were analyzed based on group allocation and the respondents' experience with cold sores. Results indicate that those who viewed the advertisement were more likely to choose the product, and the advertisement had larger effects based on consumer experience.

Preferences for a polygenic test to estimate cancer risk in a general Australian population.

PURPOSE: There is significant interest in the use of polygenic risk score (PRS) tests to improve cancer risk assessment and stratified prevention. Our current understanding of preferences regarding different aspects of this novel testing approach is limited. This study examined which attributes of a PRS test most influence the likelihood of testing. METHODS: A discrete choice experiment was developed to elicit preferences for different aspects of a PRS test by surveying an online sample of the Australian population. Preferences were assessed using mixed logistic regression, latent class analysis, and marginal willingness to pay. RESULTS: The 1002 surveyed respondents were more likely to choose a PRS test that was more accurate, tested for multiple cancer types, and enabled cancer risk reduction through lifestyle modification, screening, or medication. There was also a preference for testing through a primary care physician rather than online or through a genetic specialist. A test that did not impact life insurance eligibility or premiums was preferred over the one that did. CONCLUSION: This study found that the Australian population prefer a PRS test that is highly accurate, tests for multiple cancers, has noninvasive risk reduction measures, and is performed through primary care.

The preferences of women in Australia for the features of long-acting reversible contraception: results of a discrete choice experiment.

PURPOSE: Long-acting reversible contraceptives (LARC), such as intrauterine devices (IUD) and implants, are highly effective. However, the uptake of LARC in Australia has been slow and the oral contraceptive pill (OC) remains the best known and most widely used contraceptive. Our aim was to investigate women's preferences for the features of LARC. METHODS: We used a discrete choice experiment (DCE) in which each respondent completed 12 choice tasks. We recruited a general population sample of 621 women in Australia aged 18-49 using an online survey panel. A mixed logit model was used to analyse DCE responses; a latent class model explored preference heterogeneity. RESULTS: Overall, 391 (63%) of women were currently using contraception; 49.3% were using an OC. About 22% of women were using a LARC. Women prefer products that are more effective in preventing pregnancy, have low levels of adverse events (including negative effects on mood), and which their general practitioner (GP) recommends or says is suitable for them. CONCLUSIONS: Women have strong preferences for contraceptive products that are effective, safe, and recommended by their GP. The results indicate which characteristics of LARCs need to be front and centre in information material and in discussions between women and healthcare professionals.

Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review.

BACKGROUND AND OBJECTIVES: Valuing children's health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children's health states and the specific issues that arise in the use of these methods. METHODS: We conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm. RESULTS: A total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods (n = 30); (2) studies comparing perspectives (n = 23); and (3) studies where no comparisons were presented (n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults' considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children. CONCLUSIONS: Differences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children's health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and interpret available values) suggest that reporting guidelines are required to improve the consistency and quality of reporting of studies that value children's health using preference-based techniques.

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

Background: In Australia, undiagnosed HIV rates are much higher among migrant gay, bisexual, or other men who have sex with men (GBMSM) than Australian-born GBMSM. HIV self-testing is a promising tool to overcome barriers to HIV testing and improve HIV testing uptake among migrant GBMSM. We compared the preferences for HIV testing services, including HIV self-testing, among migrant and Australian-born GBMSM. Methods: Preferences were assessed via two discrete choice experiments (DCEs). Participants were recruited between December 2017 and January 2018 using online and offline advertising and randomly assigned to complete one of two online DCE surveys. Migrant GBMSM were classified as being born in a country with a reciprocal healthcare agreement (RHCA) with Australia (providing free or subsided health care) or not. Latent class analysis and mixed logit models were used to explore heterogeneity in preferences. Findings: We recruited 1,606 GBMSM, including 583 migrant men of whom 419 (72%) were born in non-RHCA countries. Most participants preferred a free or cheap oral test with higher accuracy and a shorter window period to facilitate early detection of infections. Cost was more important for men born in non-RHCA countries than for men from RHCA countries or Australia. All groups preferred accessing kits through online distributers or off the shelf purchasing from pharmacies. Men born in RHCA countries least preferred accessing HIV self-testing kits from a medical clinic, while more than half of men from non-RHCA countries most preferred sourcing kits from a clinic. Sex-on-premises venues were the least preferred location to access test kits among all groups. In addition, two latent class analyses explored heterogeneity in preferences among men from non-RHCA countries and we found four latent classes for HIV testing services and two latent classes for HIVST distribution. Interpretation: Our findings emphasise the need for high-performing and low-cost HIV self-testing kits that are accessible from a variety of distribution points as a component of Australia's HIV response, especially for those who do not have access to free or subsidised health care in Australia.

Men's preferences for image-guidance in prostate radiation therapy: A discrete choice experiment.

INTRODUCTION: There are several options for real-time prostate monitoring during radiation therapy including fiducial markers (FMs) and transperineal ultrasound (TPUS). However, the patient experience for these procedures is very different. This study aimed to determine patient preferences around various aspects of prostate image-guidance, focusing on FMs and TPUS. METHODS: A discrete choice experiment (DCE) was conducted, describing the image-guidance approach by: pain, cost, accuracy, side effects, additional appointments, and additional time. Participants were males with prostate cancer (PCa) and from the general Australian population. A DCE survey required participants to make hypothetical choices in each of 8 choice sets. Multinomial logit modelling and Latent Class Analysis (LCA) were used to analyse the responses. Marginal willingness to pay (mWTP) was calculated. RESULTS: 476 respondents completed the survey (236 PCa patients and 240 general population). The most important attributes for both cohorts were pain, cost and accuracy (p < 0.01). PCa patients were willing to pay more to avoid the worst pain than the general population, and willing to pay more for increased accuracy. LCA revealed 3 groups: 2 were focused more on the process-related attributes of pain and cost, and the third was focused on the clinical efficacy attributes of accuracy and side effects. CONCLUSION: Both cohorts preferred less cost and pain and improved accuracy, with men with PCa valuing accuracy more than the general population. In addition to the clinical and technical evidence, radiation oncology centres should consider the preferences of patients when considering choice of image-guidance techniques.

Family, healthcare professional, and societal preferences for the treatment of infantile spinal muscular atrophy: A discrete choice experiment.

AIM: To understand the factors that most influence decision-making in the treatment of infantile spinal muscular atrophy (SMA). METHOD: A discrete choice experiment was conducted among parents of people with SMA (parents), healthcare professionals (HCPs), and members of the Australian general population (GenPop). Respondents were asked to accept/reject treatment for an infant newly diagnosed with SMA in eight hypothetical scenarios, characterized by different combinations of the attributes of the treatment offered. The results were analyzed using probability analysis. RESULTS: Completed responses were provided from 1113 individuals (1024 GenPop, 21 parents, 68 HCPs). Respondents were more likely to accept treatments that improved functioning and mobility. Treatments with higher costs, invasive delivery, and risks of adverse events were accepted less often. Cost most affected treatment choices by HCPs and GenPop, while change in mobility and mode of administration were most influential for parents. INTERPRETATION: These results highlight the importance of understanding value for money and clinical impact in affecting treatment choice, which are crucial for effective planning of healthcare and the successful implementation of treatment programmes for SMA. What this paper adds Spinal muscular atrophy (SMA) treatments with a higher chance of improving functioning and mobility are preferred by the general population, parents, and healthcare professionals. Treatments with higher costs, invasive delivery, and risk of adverse events are less preferred. Willingness to pay for SMA treatments increases with impact on functioning.

Patient Preferences for Anxiety and Depression Screening in Cancer Care: A Discrete Choice Experiment.

OBJECTIVES: Screening for anxiety and depression in cancer care is recommended, as identification is the first step in managing anxiety and depression. Nevertheless, patient preferences for anxiety and depression screening in cancer care are unknown. The objective of this study was to investigate and identify the aspects of an anxiety and depression screening program cancer patients value most, to inform decision-makers about ways to improve patient uptake and ultimately, the provision of patient-centered care. METHODS: A discrete choice experiment was designed and implemented within an Australian cancer population sample. Participants were presented with a series of hypothetical screening programs labeled as "screening program 1" and "screening program 2" and were asked to choose their preferred one. The discrete choice experiment was administered using an online survey platform. A mixed logit and a latent class analysis was conducted. RESULTS: Participants (n = 294) preferred screening to be conducted by a cancer nurse, face-to-face, and at regular intervals (monthly or every 3 months). Participants also preferred follow-up care to be delivered by mental health professionals embedded within the cancer care team. Factors that influenced preferences were the low cost and short waiting times for access to care. CONCLUSIONS: Cancer patients prefer cancer services with integrated mental healthcare services. To maximize patient uptake, anxiety and depression screening programs should be routinely offered, delivered by oncology healthcare staff in a face-to-face format, and, postscreening, to be care for by mental health professionals embedded within the cancer service.

Clinical assessment of chemotherapy-induced peripheral neuropathy: a discrete choice experiment of patient preferences.

PURPOSE: Up to 40% of cancer patients treated with neurotoxic chemotherapies experience chemotherapy-induced peripheral neuropathy (CIPN). Currently, there is no gold standard assessment tool for CIPN and there is little information in the literature on patient preferences for such assessments. This study aims to address this gap by identifying the features of a CIPN assessment tool that cancer patients value. METHODS: An online discrete choice experiment (DCE) survey of neurotoxic chemotherapy-treated patients was implemented. Respondents completed 8 choice questions each. In each choice question, they chose between two hypothetical CIPN assessment tools, each described by six attributes: impact on quality of life; level of nerve damage detected; questionnaire length; physical tests involved; impact on clinic time; impact on care. RESULTS: The survey was completed by 117 respondents who had a range of cancers of which breast cancer was the most common. Respondents favoured an assessment tool that includes a physical test and that asks about impact on quality of life. Respondents were strongly opposed to clinicians, alone, deciding how the results of a CIPN assessment might influence their care especially their chemotherapy treatment. They were concerned about small changes in their CIPN, independent of clinical relevance. Respondents were willing to add half an hour to the usual clinic time to accommodate the CIPN assessment. CONCLUSION: The findings of this DCE will assist clinicians in choosing an assessment tool for CIPN that is satisfactory to both clinician and patient.

Valuing End-of-Life Care for Older People with Advanced Cancer: Is Dying at Home Important?

BACKGROUND: Most health care systems are facing the challenge of providing health services to support the increasing numbers of older people with chronic life-limiting conditions at the end of life. Many policies focus primarily on increasing the proportion of deaths at home. OBJECTIVES: This study aims to investigate preferences for care throughout the latter stages of a life-limiting illness, particularly the importance of location of care, location of death, and the use of life-sustaining measures. It focuses on preferences for the care of an older person with advanced cancer in the last 3 weeks of life. METHODS: A survey using discrete choice experiment (DCE) methods was completed online by a general population sample of 1548 Australians aged 45 years and over. The experiment included 12 attributes, and each respondent completed 11 choice sets. Analysis was by a mixed logit model and latent class analysis (LCA). RESULTS: The most important attributes influencing care preferences were cost, patient anxiety, pain control, and carer stress (relative importance scores 0.21, 0.19, 0.14, and 0.14, respectively), with less importance given to place of care and place of death (relative importance scores 0.03 and 0.01). The model predicted that 42% would consider receiving most care in hospital better than at home (58%) holding the levels of other attributes constant across the alternatives, while 42% would consider death in hospital better than at home (58%). Three population segments with different preferences were identified by the LCA, the largest (46.5%) prioritised how the patient and carer felt as well as the pain control achieved, the next largest (28.1%) prioritised cost, and the smallest segment (25.4%) prioritised a single room when an inpatient. CONCLUSIONS: This study shows that investment in services to support people at the end of life would be better targeted toward programmes that improve patient and carer wellbeing irrespective of the location of care and death.

Exploring the Trade-Off Between Economic and Health Outcomes During a Pandemic: A Discrete Choice Experiment of Lockdown Policies in Australia.

BACKGROUND: All countries experienced social and economic disruption and threats to health security from the COVID-19 pandemic in 2020, but the responses in terms of control measures varied considerably. While control measures, such as quarantine, lockdown and social distancing, reduce infections and infection-related deaths, they have severe negative economic and social consequences. OBJECTIVES: The objective of this study was to explore the acceptability of different infectious disease control measures, and examine how respondents trade off between economic and health outcomes. METHODS: A discrete choice experiment was developed, with attributes covering: control restrictions, duration of restrictions, tracking, number of infections and of deaths, unemployment, government expenditure and additional personal tax. A representative sample of Australians (n = 1046) completed the survey, which included eight choice tasks. Data were analysed using mixed logit regression to identify heterogeneity and latent class models to examine heterogeneity. RESULTS: In general, respondents had strong preferences for policies that avoided high infection-related deaths, although lower unemployment and government expenditure were also considered important. Respondents preferred a shorter duration for restrictions, but their preferences did not vary significantly for the differing levels of control measures. In terms of tracking, respondents preferred mobile phone tracking or bracelets when compared to no tracking. Significant differences in preferences was identified, with two distinct classes: Class 1 (57%) preferred the economy to remain open with some control measures, whereas Class 2 (43%), had stronger preferences for policies that reduced avoidable deaths. CONCLUSIONS: This study found that the Australian population is willing to relinquish some freedom, in the short term, and trade off the negative social and economic impacts of the pandemic, to avoid the negative health consequences.

Who Gets the Last Bed? A Discrete-Choice Experiment Examining General Population Preferences for Intensive Care Bed Prioritization in a Pandemic.

OBJECTIVE: To explore the key patient attributes important to members of the Australian general population when prioritizing patients for the final intensive care unit (ICU) bed in a pandemic over-capacity scenario. METHODS: A discrete-choice experiment administered online asked respondents (N = 306) to imagine the COVID-19 caseload had surged and that they were lay members of a panel tasked to allocate the final ICU bed. They had to decide which patient was more deserving for each of 14 patient pairs. Patients were characterized by 5 attributes: age, occupation, caregiver status, health prior to being infected, and prognosis. Respondents were randomly allocated to one of 7 sets of 14 pairs. Multinomial, mixed logit, and latent class models were used to model the observed choice behavior. RESULTS: A latent class model with 3 classes was found to be the most informative. Two classes valued active decision making and were slightly more likely to choose patients with caregiving responsibilities over those without. One of these classes valued prognosis most strongly, with a decreasing probability of bed allocation for those 65 y and older. The other valued both prognosis and age highly, with decreasing probability of bed allocation for those 45 y and older and a slight preference in favor of frontline health care workers. The third class preferred more random decision-making strategies. CONCLUSIONS: For two-thirds of those sampled, prognosis, age, and caregiving responsibilities were the important features when making allocation decisions, although the emphasis varies. The remainder appeared to choose randomly.

Respondent Understanding in Discrete Choice Experiments: A Scoping Review.

INTRODUCTION: Despite the recognised importance of participant understanding for valid and reliable discrete choice experiment (DCE) results, there has been limited assessment of whether, and how, people understand DCEs, and how 'understanding' is conceptualised in DCEs applied to a health context. OBJECTIVES: Our aim was to identify how participant understanding is conceptualised in the DCE literature in a health context. Our research questions addressed how participant understanding is defined, measured, and used. METHODS: Searches were conducted (June 2019) in the MEDLINE, EMBASE, PsychINFO and Econlit databases, as well as hand searching. Search terms were based on previous DCE systematic reviews, with additional understanding keywords used in a proximity-based search strategy. Eligible studies were peer-reviewed journal articles in the field of health, related to DCE or best-worst scaling type 3 (BWS3) studies, and reporting some consideration or assessment of participant understanding. A descriptive analytical approach was used to chart relevant data from each study, including publication year, country, clinical area, subject group, sample size, study design, numbers of attributes, levels and choice sets, definition of understanding, how understanding was tested, results of the understanding tests, and how the information about understanding was used. Each study was categorised based on how understanding was conceptualised and used within the study. RESULTS: Of 306 potentially eligible articles identified, 31 were excluded based on titles and abstracts, and 200 were excluded on full-text review, resulting in 75 included studies. Three categories of study were identified: applied DCEs (n = 52), pretesting studies (n = 7) and studies of understanding (n = 16). Typically, understanding was defined in relation to either the choice context, such as attribute terminology, or the concept of choosing. Very few studies considered respondents' engagement as a component of understanding. Understanding was measured primarily through qualitative pretesting, rationality or validity tests included in the survey, and participant self-report, however reporting and use of the results of these methods was inconsistent. CONCLUSIONS: Those conducting or using health DCEs should carefully select, justify, and report the measurement and potential impact of participant understanding in their specific choice context. There remains scope for research into the different components of participant understanding, particularly related to engagement, the impact of participant understanding on DCE validity and reliability, the best measures of understanding, and methods to maximise participant understanding.

The Preferred Qualities of Human Immunodeficiency Virus Testing and Self-Testing Among Men Who Have Sex With Men: A Discrete Choice Experiment.

OBJECTIVES: Human immunodeficiency virus self-testing (HIVST) is a promising approach to improve HIV testing coverage. We aimed to understand HIV testing preferences of men who have sex with men (MSM) to optimize HIVST implementation. METHODS: Discrete choice experiments (DCEs) were conducted among HIV-negative MSM living in Australia and aged ≥18 years. Men completed 1 of 2 DCEs: DCETest for preferred qualities of HIV testing (price, speed, window period, test type, and collector of specimen) and DCEKits for preferred qualities of HIVST kits (price, location of access, packaging, and usage instructions). Latent class conditional logit regression was used to explore similarities (or "classes") in preference behavior. RESULTS: Overall, the study recruited 1606 men: 62% born in Australia, who had an average age of 36.0 years (SD 11.7), and a self-reported median of 4 (interquartile range 2-8) sexual partners in the last 6 months. The respondents to DCETest was described by 4 classes: "prefer shorter window period" (36%), "prefer self-testing" (27%), "prefer highly accurate tests" (22%), and "prefer low prices" (15%). Respondents to DCEKits were described by 4 classes: "prefer low prices" (48%), "prefer retail access (from pharmacy or online stores)" (29%), "prefer access at sex venues" (15%), and "prefer to buy from healthcare staff" (12%). Preferences varied by when someone migrated to Australia, age, frequency of testing, and number of sexual partners. CONCLUSION: A subset of MSM, particularly infrequent testers, value access to HIVST. Expanding access to HIVST kits through online portals and pharmacies and at sex venues should be considered.

U.K. utility weights for the EORTC QLU-C10D.

The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality of life questionnaire, EORTC QLQ-C30. It contains 10 dimensions (physical functioning, role functioning, social functioning, emotional functioning, pain, fatigue, sleep, appetite, nausea, bowel problems), each with four levels. The aim of this study was to provide U.K. general population utility weights for the QLU-C10D. A U.K. online panel was quota-sampled to align the sample to the general population proportions of sex and age (≥18 years). The online valuation survey included a discrete choice experiment (DCE). Each participant was asked to complete 16 choice-pairs, each comprising two QLU-C10D health states plus duration. DCE data were analysed using conditional logistic regression to generate utility weights. Data from 2,187 respondents who completed at least one choice set were included in the DCE analysis. The final U.K. QLU-C10D utility weights comprised decrements for each level of each health dimension. For nine of the 10 dimensions (all except appetite), the expected monotonic pattern was observed across levels: Utility decreased as severity increased. For the final model, consistent monotonicity was achieved by merging inconsistent adjacent levels for appetite. The largest utility decrements were associated with physical functioning and pain. The worst possible health state (the worst level of each dimension) is -0.083, which is considered slightly worse than being dead. The U.K.-specific utility weights will enable cost-utility analysis (CUA) for the economic evaluation of new oncology therapies and technologies in the United Kingdom, where CUA is commonly used to inform resource allocation.