Dataset Information

Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.

ABSTRACT: OBJECTIVE:When faced with an emergent epidemic with high mortality and morbidity potential, policy makers must decide what public health interventions to deploy at different stages of the outbreak. However, almost nothing is known about how the public view these interventions or how they trade off risks (of disease) with inconvenience (of interventions). In this paper, we aim to understand public perceptions on pandemic interventions, as well as to identify if there are any distinct respondent preference classes. DESIGN:A discrete choice experiment. SETTING:This study was fielded in Singapore between November 2012 and February 2013. PARTICIPANTS:A random sample of 500 Singapore residents aged 21 and over, including 271 women and 229 men, was analysed. OUTCOME MEASURES:Demographic information was collected from each participant. Participants were also shown a series of pairs of alternatives, each combining interventions and morbidity, mortality and cost outcomes and declared a preference for one combination. A random utility model was developed to determine the individual's preference for interventions and a hierarchical cluster analysis was performed to identify distinct respondent preference classes. RESULTS:On average, participants preferred more intense interventions, and preferred scenarios with fewer deaths and lower tax. The number of infections did not significantly influence respondents' responses. We identified two broad classes of respondents: those who were mortality averse and those who were expenditure averse. Education was found to be a predictor of group membership. CONCLUSION:Overall, there was considerable support for government interventions to prevent or mitigate outbreaks of emerging infectious diseases, including those that greatly restricted individual liberties, as long as the restrictions showed a reasonable chance of reducing the adverse health effects of the outbreak.

SUBMITTER: Cook AR

PROVIDER: S-EPMC5857709 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.

Cook Alex R AR Zhao Xiahong X Chen Mark I C MIC Finkelstein Eric A EA

BMJ open 20180216 2

<h4>Objective</h4>When faced with an emergent epidemic with high mortality and morbidity potential, policy makers must decide what public health interventions to deploy at different stages of the outbreak. However, almost nothing is known about how the public view these interventions or how they trade off risks (of disease) with inconvenience (of interventions). In this paper, we aim to understand public perceptions on pandemic interventions, as well as to identify if there are any distinct resp ...[more]

PMID: 29453294

Similar Datasets

Project description:BackgroundDigital technological development in the last 20 years has led to significant growth in digital collection, use, and sharing of health data. To maintain public trust in the digital society and to enable acceptable policy-making in the future, it is important to investigate people's preferences for sharing digital health data.ObjectiveThe aim of this study is to elicit the preferences of the public in different Northern European countries (the United Kingdom, Norway, Iceland, and Sweden) for sharing health information in different contexts.MethodsRespondents in this discrete choice experiment completed several choice tasks, in which they were asked if data sharing in the described hypothetical situation was acceptable to them. Latent class logistic regression models were used to determine attribute-level estimates and heterogeneity in preferences. We calculated the relative importance of the attributes and the predicted acceptability for different contexts in which the data were shared from the estimates.ResultsIn the final analysis, we used 37.83% (1967/5199) questionnaires. All attributes influenced the respondents' willingness to share health information (P<.001). The most important attribute was whether the respondents were informed about their data being shared. The possibility of opting out from sharing data was preferred over the opportunity to consent (opt-in). Four classes were identified in the latent class model, and the average probabilities of belonging were 27% for class 1, 32% for class 2, 23% for class 3, and 18% for class 4. The uptake probability varied between 14% and 85%, depending on the least to most preferred combination of levels.ConclusionsRespondents from different countries have different preferences for sharing their health data regarding the value of a review process and the reason for their new use. Offering respondents information about the use of their data and the possibility to opt out is the most preferred governance mechanism.

Project description:ObjectivesTo understand the key attributes in designing effective interventions for improving healthcare workers' (HCWs') hand hygiene compliance and HCWs' preference for these attributes.DesignA discrete choice experiment (DCE) was conducted with five attributes extracted from the framework of Total Quality Management that can be applied in the design of hand hygiene interventions. They were hand hygiene monitoring, open discussion, message framing, resources accessibility and top management involvement. An addition attribute, peer hand hygiene performance, was considered as a contextual factor. Data were analysed by a conditional logit model to evaluate how these attributes impact HCWs' hand hygiene compliance.SettingThe DCE was conducted with participants from a university hospital in Taichung.ParticipantsHCWs involved in daily patient-care activities (N=387).ResultsTo enhance their compliance, HCWs had strong and consistent preferences in having open discussion of hand hygiene problems ([Formula: see text], [Formula: see text]), easy access to hand hygiene resources ([Formula: see text], [Formula: see text]) and top management involvement ([Formula: see text], [Formula: see text]). For hand hygiene monitoring ([Formula: see text], [Formula: see text]), HCWs preferred to be monitored by infection control staff over their department head if their peer hand hygiene performance was low. On the other hand, when the peer performance was high, monitoring by their department head could improve their hand hygiene compliance. Similarly, how educational messages were framed impacted compliance and also depended on the peer hand hygiene performance. When the peer performance was low, HCWs were more likely to increase their compliance in reaction to loss-framed educational messages ([Formula: see text],[Formula: see text]). When the peer performance was high, gain-framed messages that focus on the benefit of compliance were more effective in inducing compliance.ConclusionsEach intervention design has its unique impact on HCWs' hand hygiene compliant behaviour. The proposed approach can be used to evaluate HCWs' preference and compliance of an intervention before it is implemented.

Project description:BackgroundDeciding on pharmaceutical subsidy is regarded as a challenging issue for healthcare policymakers in Iran in most times. Public preferences, rarely attended in Iran, could be invaluable for including a particular drug in the list of subsidized medications.ObjectivesThe current study aims to elicit the public preferences to develop an evidence-based decision-making framework for entering a drug into the list of subsidies in Iran.MethodsDiscrete Choice Experiment (DCE) was employed to elicit the public preferences. Around 34 attributes were identified based on the systematic review and interview with 51 experts. By holding an expert panel, 7 attributes were finalized, namely: the survival after treatment, quality of life after treatment (QoL), alternative treatment, age group of the target population, cost burden for the government, disease severity, and drug manufacturer country. Next, 1224 households were selected for the survey in the city of Tehran, using random cluster sampling. Data were analyzed using conditional logit model.ResultsThe survival after treatment (β = 1.245; SE = 0.053) and disease severity (β =- 0.143; SE = 0.043) had the highest and lowest priority, respectively, in the preferences for allocating subsidy to a drug. In developed region, unlike the other two regions, the level of domestic drug production (β =- 0.302; SE = 0.073) was inversely associated with preferences toward allocating subsidy to a drug. In contrast to other districts, those living in district number one (β = 2.053; SE = 0.138) gave the highest value to promoting the QoL after treatment.ConclusionsIt is suggested that policymakers pay more attention to attributes such as effectiveness and alternative treatment when developing an evidence-based framework for entering a drug into the list of subsidies. This study highlighted the public belief in the government's subsidy for medicines, provided that, this results in an increased survival and QoL.

Project description:ObjectivesIdentify Australian public preferences for antibiotic treatments in the context of antibiotic stewardship.MethodsA discrete choice experiment (DCE) was conducted in Australia to investigate the importance of seven attributes associated with antibiotic treatments and related stewardship practices: contribution to antimicrobial resistance (AMR), treatment duration, side effects, days needed to recover, days before taking antibiotics, treatment failure and out-of-pocket costs. The DCE data were analysed using conditional logit, mixed logit and latent class conditional logit models. The relative importance of each attribute was calculated.ResultsA total of 1882 respondents completed the survey; the main study sample consist of 1658 respondents (mean age 48 years) who passed quality checks. All seven attributes significantly influenced respondents' preferences for antibiotic treatments. Based on the designed attribute levels in the DCE, on average, out-of-pocket costs (32.8%) and contribution to antibiotic resistance (30.3%) were the most important attributes, followed by side effects (12.9%). Days before starting medication was least important (3.9%). Three latent classes were identified. Class 1 (including respondents who were more likely to be older and more health literate; 24.5%) gave contribution to antibiotic resistance greater importance in treatment preferences. Class 2 (including respondents more likely to report poorer health; 25.2%) gave out-of-pocket costs greater importance. The remaining (50.4%), who were generally healthier, perceived side effects as the most important attribute.ConclusionsDespite concerted public awareness raising campaigns, our results suggest that several factors may influence the preferences of Australians when considering antibiotic use. However, for those more likely to be aware of the need to preserve antibiotics, out-of-pocket costs and limiting the contribution to antibiotic resistance are the dominant influence. Delays in starting treatment were not important for any latent class, suggesting public tolerance for this measure. These results could help inform strategies to promote prudent antibiotic stewardship.

Dataset Information

Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.

Publications

Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets