Evaluating the Trade-offs Men with Localised Prostate Cancer Make Between the Risks and Benefits of Treatments: The COMPARE Study

PURPOSE: COMPARE (COMparing treatment options for ProstAte cancer) aimed to evaluate and quantify the trade-offs patients make between different aspects of active surveillance and definitive therapy. METHODS: A Discrete Choice Experiment (DCE) tool was used to elicit patients' preferences for different treatment characteristics in 34 urology departments. Patients with localised prostate cancer completed the DCE within one week of being diagnosed and before they made treatment decisions. The DCE was pre-tested (N=5) and piloted (n=106) with patients. Patients chose their preferred treatment profile based on six characteristics: treatment type (active surveillance, focal therapy, radical therapy), return to normal activities, erectile function, urinary function, not needing more cancer treatment and 10-15 year cancer-specific survival. Different tools were designed for low-intermediate (n=468) and high-risk (n=166) patients. An error-components conditional logit model was used to estimate preferences and trade-offs between treatment characteristics. RESULTS: Low-intermediate risk patients were willing to trade 6.99% absolute decrease in survival to have active surveillance over definitive therapy. They were willing to trade 0.75%, 0.46% and 0.19% absolute decrease in survival for a one-month reduction in time-to-return to normal activities, and 1% absolute improvements in urinary and sexual function, respectively. High-risk patients were willing to trade 3.10%, 1.04% and 0.41% absolute decrease in survival for a one-month reduction in time-to-return to normal activities and 1% absolute improvements in urinary and sexual function, respectively. CONCLUSIONS: Patients with low-intermediate risk prostate cancer preferred active surveillance to definitive therapy. Patients of all risks were willing to trade-off cancer-specific survival for improved quality-of-life.Registration:clinicaltrials.gov Registration Identifier NCT01177865Funding:Medical Research Council (UK) (grant reference: G1002509)

Stated preferences over job characteristics: a panel study

When making choices over jobs with different characteristics, what trade‐offs are decision‐makers willing to make? Such a question is difficult to address using typical household surveys that provide a limited amount of information on the attributes of the jobs. To address this question, a small but growing number of studies have turned to the use of stated preference experiments; but the extent to which stated choices by respondents reflect systematic trade‐offs across job characteristics remains an open question. We use two popular types of experiments (profile case best–worst scaling and multi‐profile case best–worst scaling) to elicit job preferences of nursing students and junior nurses in Australia. Each person participated in both types of experiments twice, within a span of about 15 months. Using a novel joint likelihood approach that links a decision‐maker's preferences across the two types of experiments and over time, we find that the decision‐makers make similar trade‐offs across job characteristics in both types of experiments and in both time periods, except for the trade‐off between salary and other attributes. The valuation of salary falls significantly over time relative to other job attributes for both types of experiments. Also, within each period, salary is less valued in the profile case compared to the more traditional multi‐profile case

Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland.

Implementing innovations in care delivery in Switzerland is challenging due to the fragmented nature of the system and the specificities of the political process (i.e., direct democracy, decentralized decision-making). In this context, it is particularly important to account for population preferences when designing policies. We designed a discrete choice experiment to study population preferences for coordination-improving care models. Specifically, we assessed the relative importance of model characteristics (i.e., insurance premium, presence of care coordinator, access to specialists, use of EMR, cost-sharing for chronic patients, incentives for informal care), and predicted uptake under different policy scenarios. We accounted for heterogeneity in preferences for the status quo option using an error component logit model. Respondents attached the highest importance to the price attribute (i.e. insurance premium) (0.31, CI: 0.27- 0.36) and to the presence of a care coordinator (0.27, CI: 0.23 - 0.31). Policy scenarios showed for instance that gatekeeping would be preferred to free access to specialists if the model includes a GP or an interprofessional team as a care coordinator. Although attachment to the status quo is high in the studied population, there are potential ways to improve acceptance of alternative care models by implementation of positively valued innovations

Preferences for innovations in healthcare delivery models in the Swiss elderly population: a latent class, choice modelling study.

With the increasing number of people affected by multiple chronic conditions, it is essential for public-health professionals to promote strategies addressing patient needs for coordinated care. We aim to explore preference heterogeneity for better-coordinated care delivery models in Swiss older adults, and identify profiles of individuals more open to healthcare reforms. A DCE (discrete choice experiment) survey was developed online and on paper for the Swiss adults aged 50+, following best practice. To elicit preferences, we estimated a latent class model allowing grouping individuals with similar preferences into distinct classes, and examined what background characteristics contributed to specific class membership. The optimal model identified three classes with different openness to reforms. Class 1 (49%) members were concerned with premium increases and were in favour of integrated care structures with care managed by interprofessional teams. Individuals in class 2 (19%) were younger, open to reforms, and expressed the needs for radical changes within the Swiss healthcare system. Class 3 respondents (32%) were strongly reluctant to changes. Our study goes beyond average preferences and identifies three distinct population profiles, a majority open to reforms on specific aspects of care delivery, a smallest group in favour radical changes, and a third strongly against changes. Therefore, tailored approaches around healthcare reforms are needed, e.g. explaining the role of interprofessional teams in coordinating care, electronic health records and insurance premium variation

Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review

BackgroundEconomic evidence relating to tobacco control is generally derived from the cost effectiveness of smoking-cessation programs or the economic impact of tobacco-induced disease, based on revealed-preference data. However, empirical estimates from stated-preference data on tobacco users’ preferences, smoking behaviour and smoking cessation aids using analytical techniques such as discrete-choice experiments (DCEs) could be important for policy decision making in tobacco control.ObjectivesOur objective was to review the practice and utility of DCE methodology across nicotine- and tobacco-related issues, particularly smoking and smoking-cessation behaviour, anti-smoking policies and preferences for smoking-cessation aids.MethodsWe searched the PubMed, MEDLINE and ECONLIT databases for full-text original research articles on tobacco-related issues published between January 2000 and April 2016 that used a DCE method. We summarised the evidence and methodological characteristics of DCEs according to Lancsar and Louviere, 2008.ResultsOur review of the 12 eligible studies showed that DCE methodology was used to elicit smoker preferences and to evaluate tobacco-control policies. The majority of the studies were published in the last 5 years. The areas of application were smoking cessation, smoking behaviour, electronic cigarette use, water-pipe smoking and tobacco packaging. Monetary attributes were the most influential attributes in all studies. The design of the DCEs varied.ConclusionDCE studies of tobacco-related issues were methodologically consistent with guidelines proposed for conducting health-related DCEs