Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature

Harrison, Mark; Rigby, Dan; Vass, Caroline; Flynn, Terry N.; Louviere, Jordan J.; Payne, Katherine

doi:10.1007/s40271-014-0048-1

Cited by 87 publications

(83 citation statements)

References 182 publications

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“…This may reflect a real non-linear attitude to risk or be a function of the specific survey design employed here. 132 The risks here are higher than those likely to be faced in reality (see the risks used in the economic models used in Chapter 6).…”

Section: Quantitative Analysis Of Patient Preferencesmentioning

confidence: 96%

The Community IntraVenous Antibiotic Study (CIVAS): a mixed-methods evaluation of patient preferences for and cost-effectiveness of different service models for delivering outpatient parenteral antimicrobial therapy

Minton

Czoski-Murray

Meads

et al. 2017

Health Serv Deliv Res

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Section: Quantitative Analysis Of Patient Preferencesmentioning

confidence: 96%

The Community IntraVenous Antibiotic Study (CIVAS): a mixed-methods evaluation of patient preferences for and cost-effectiveness of different service models for delivering outpatient parenteral antimicrobial therapy

Minton

Czoski-Murray

Meads

et al. 2017

Health Serv Deliv Res

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“…More generally, there has been no systematic review of studies exploring the external validity of any stated preference tasks in health. Existing reviews focus on summarizing DCE applications [3,7,42], collating preference research on particular health or disease areas [43,44], or synthesizing methodological innovations to maximize internal validity [45].…”

Section: Rationale For Review and Aimmentioning

confidence: 99%

How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity

et al. 2018

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Discrete choice experiments (DCEs) are economic tools that elicit the stated preferences of respondents. Because of their increasing importance in informing the design of health products and services, it is critical to understand the extent to which DCEs give reliable predictions outside of the experimental context. We systematically reviewed the literature of published DCE studies comparing predictions to choices made in reality; we extracted individual-level data to estimate a bivariate mixed-effects model of pooled sensitivity and specificity. Eight studies met the inclusion criteria, and six of these gave sufficient data for inclusion in a meta-analysis. Pooled sensitivity and specificity estimates were 88% (95% CI 81, 92%) and 34% (95% CI 23, 46%), respectively, and the area under the SROC curve (AUC) was 0.60 (95% CI 0.55, 0.64). Results indicate that DCEs can produce reasonable predictions of health-related behaviors. There is a great need for future research on the external validity of DCEs, particularly empirical studies assessing predicted and revealed preferences of a representative sample of participants.

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“…Harrison et al [12] reviewed the presentation and analysis of risk as an attribute in DCEs and identified the need for experimental studies of the impact of different methods of presentation of numerical information. We found only one study which analysed the impact of presentation format in the context of a health related DCE [13].…”

Section: Introductionmentioning

confidence: 99%

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

Kenny

Goodall

Street

et al. 2017

Patient

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Telephone +41 2 95144750, Fax +41 2 95144730 2 Abstract BackgroundChoosing 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. ObjectivesTo examine the impact of presentation format on attribute level interpretation and relative importance. MethodsA 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. ResultsThe 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. ConclusionsQuantitative 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. 3 Key points for decision makersInformation about service quality such as that collected in patient experience surveys would be useful for consumers choosing a new general practice.Presentation of performance quality information for consumers will be most useful if presented as frequency and percent with icons or start ratings.4

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Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature

Abstract: Improvements in reporting and transparency of risk presentation from conception to the analysis of DCEs are needed. To define best practice, further research is needed to test how the process of communicating risk affects the way in which people value risk attributes in DCEs.

Cited by 87 publications

References 182 publications

The Community IntraVenous Antibiotic Study (CIVAS): a mixed-methods evaluation of patient preferences for and cost-effectiveness of different service models for delivering outpatient parenteral antimicrobial therapy

The Community IntraVenous Antibiotic Study (CIVAS): a mixed-methods evaluation of patient preferences for and cost-effectiveness of different service models for delivering outpatient parenteral antimicrobial therapy

How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity

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

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