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.

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.

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.

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.

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.

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.

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.

One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation.

BACKGROUND: Discrete-choice experiments (DCEs) are used in the development of preference-based measure (PBM) value sets. There is considerable variation in the methodological approaches used to elicit preferences. OBJECTIVE: Our objective was to carry out a structured review of DCE methods used for health state valuation. METHODS: PubMed was searched until 31 May 2018 for published literature using DCEs for health state valuation. Search terms to describe DCEs, the process of valuation and preference-based instruments were developed. English language papers with any study population were included if they used DCEs to develop or directly inform the production of value sets for generic or condition-specific PBMs. Assessment of paper quality was guided by the recently developed Checklist for Reporting Valuation Studies. Data were extracted under six categories: general study information, choice task and study design, type of designed experiment, modelling and analysis methods, results and discussion. RESULTS: The literature search identified 1132 published papers, and 63 papers were included in the review. Paper quality was generally high. The study design and choice task formats varied considerably, and a wide range of modelling methods were employed to estimate value sets. CONCLUSIONS: This review of DCE methods used for developing value sets suggests some recurring limitations, areas of consensus and areas where further research is required. Methodological diversity means that the values should be seen as experimental, and users should understand the features of the value sets produced before applying them in decision making.

Building Public Confidence in Medical Registration Revalidation: Reform of Medical Registration Law in Australia, a New Risk-based Approach.

This article examines the reform of the Health Practitioner National Law to introduce a form of medical registration revalidation. Revalidation is a regulatory performance management practice designed to confirm the competence of medical practitioners regularly and proactively. Its implementation will shift the law's current contribution to constraining dangerous practice from a largely reactive stance onto a more proactive footing. In aid of advancing the case for registration revalidation, we describe the recent history of the National Law, provide analysis of the proposed revalidation reforms and then apply a novel empirical method of a discrete choice experiment to determine the Australian general public's acceptance of and preferred approach to medical registration revalidation regulation. We argue that the reform represents a potentially effective and, importantly, acceptable reform to existing regulatory performance management and disciplinary systems.

Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30.

BACKGROUND: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality-of-life (QOL) questionnaire, EORTC QLQ-C30. The QLU-C10D contains ten dimensions (Physical, Role, Social and Emotional Functioning; Pain, Fatigue, Sleep, Appetite, Nausea, Bowel Problems), each with four levels. To be used in cost-utility analysis, country-specific valuation sets are required. OBJECTIVE: The aim of this study was to provide Australian utility weights for the QLU-C10D. METHODS: An Australian online panel was quota-sampled to ensure population representativeness by sex and age (≥ 18 years). Participants completed a discrete choice experiment (DCE) consisting of 16 choice-pairs. Each pair comprised two QLU-C10D health states plus life expectancy. Data were analysed using conditional logistic regression, parameterised to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each QOL dimension-level coefficient to the coefficient on life expectancy. RESULTS: A total of 1979 panel members opted in, 1904 (96%) completed at least one choice-pair, and 1846 (93%) completed all 16 choice-pairs. Dimension weights were generally monotonic: poorer levels within each dimension were generally associated with greater utility decrements. The dimensions that impacted most on choice were, in order, Physical Functioning, Pain, Role Functioning and Emotional Functioning. Oncology-relevant dimensions with moderate impact were Nausea and Bowel Problems. Fatigue, Trouble Sleeping and Appetite had relatively small impact. The value of the worst health state was -0.096, somewhat worse than death. CONCLUSIONS: This study provides the first country-specific value set for the QLU-C10D, which can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30, prospectively and retrospectively.

Choosing a Doctor: Does Presentation Format Affect the Way Consumers Use Health Care Performance Information?

BACKGROUND: Choosing a new health service provider can be difficult and is dependent on the type and clarity of the information available. This study examines if the presentation of service quality information affects the decisions of consumers choosing a general medical practice. OBJECTIVES: The aim was to examine the impact of presentation format on attribute level interpretation and relative importance. METHODS: A discrete choice experiment eliciting preferences for a general medical practice was conducted using four different presentation formats for service quality attributes: (1) frequency and percentage with an icon array, (2) star ratings, (3) star ratings with a text benchmark, and (4) percentage alone. A total of 1208 respondents from an online panel were randomised to see two formats, answering nine choices for each, where one was a dominated choice. Logistic regression was used to assess the impact of presentation format on the probability of choosing a dominated alternative. A generalised multinomial logit model was used to estimate the relative importance of the attribute levels. RESULTS: The probability of incorrectly choosing a dominated alternative was significantly higher when the quality information was presented as a percentage relative to a frequency with icon array, star rating or bench-marked star rating. Preferences for a practice did not differ significantly by presentation format, nor did the probability of finding the information difficult to understand. CONCLUSIONS: Quantitative health service quality information will be more useful to consumers if presented by combining the numerical information with a graphic, or using a star rating if appropriate for the context.

Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives.

Decisions about prescribed contraception are typically the result of a consultation between a woman and her doctor. In order to better understand contraceptive choice within this environment, stated preference methods are utilized to ask doctors about what contraceptive options they would discuss with different types of women. The role of doctors is to confine their discussion to a subset of products that best match their patient. This subset of options forms the consideration set from which the ultimate recommendation is made. Given the existence of consideration sets we address the issue of how to model appropriately the ultimate recommendations. The estimated models enable us to characterize doctor recommendations and how they vary with patient attributes and to highlight where recommendations are clear and when they are uncertain. The results also indicate systematic variation in recommendations across different types of doctors, and in particular we observe that some doctors are reluctant to embrace new products and instead recommend those that are more familiar. Such effects are one possible explanation for the relatively low uptake of more cost effective longer acting reversible contraceptives and indicate that further education and training of doctors may be warranted. Copyright © 2015 John Wiley & Sons, Ltd.

Providing Informal Care in Terminal Illness: An Analysis of Preferences for Support Using a Discrete Choice Experiment.

BACKGROUND: The trend for terminally ill patients to receive much of their end-of-life care at home necessitates the design of services to facilitate this. Care at home also requires that informal care be provided by family members and friends. This study investigated informal carers' preferences for support services to aid the development of end-of-life health care services. METHODS: This cross-sectional study used 2 discrete choice experiments to ascertain the preferences of carers supporting patients with different levels of care need, determined by the assistance needed with personal care and labeled High Care (HC) and Low Care (LC). The sample included 168 informal carers of people receiving palliative care at home from 2 palliative care services in Sydney, Australia. Data were collected in face-to-face interviews; carers chose between 2 hypothetical plans of support services and their current services. Data were analyzed with generalized multinomial logit models that were used to calculate the impact of each attribute on the probability of a carer choosing a service plan. RESULTS: Preferred support included nursing services; the probability of choosing a plan increased significantly if it included nurse home visits and phone advice (P < 0.001). HC carers also wanted doctor home visits, home respite, and help with personal care (P < 0.05), and LC carers wanted help with household tasks, transport, and a case coordinator (P < 0.001). On average, both groups of carers preferred their current services, but this varied with characteristics of the carer and the caregiving situation. CONCLUSIONS: The most valued services are those that support carers in their caregiving role; however, supportive care preferences vary with the different circumstances of patients and carers.

The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products.

Recent rapid growth in the range of contraceptive products has given women more choice, but also adds complexity to the resultant decision of which product to choose. This paper uses a discrete choice experiment (DCE) to investigate the effect of adverse information and positive promotion on women's stated preferences for prescribed contraceptive products. In November 2007, 527 Australian women aged 18-49 years were recruited from an online panel. Each was randomly allocated to one of three information conditions. The control group only received basic information on contraceptive products. One treatment group also received adverse information on the risks of the combined oral pill. The other group received basic information and promotional material on the vaginal ring, newly introduced into Australia and on the transdermal patch, which is unavailable in Australia. Respondents completed 32 choice sets with 3 product options where each option was described by a product label: either combined pill, minipill, injection, implant, hormonal IUD, hormonal vaginal ring, hormonal transdermal patch or copper IUD; and by the attributes: effect on acne, effect on weight, frequency of administration, contraceptive effectiveness, doctor's recommendation, effect on periods and cost. Women's choices were analysed using a generalized multinomial logit model (G-MNL) and model estimates were used to predict product shares for each information condition. The predictions indicated that adverse information did not affect women's preferences for products relative to only receiving basic information. The promotional material increased women's preferences for the transdermal patch. Women in all groups had a low preference for the vaginal ring which was not improved by promotion. The findings highlight the need for researchers to pay attention to setting the context when conducting DCEs as this can significantly affect results.