Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force

Johnson, F. Reed; Lancsar, Emily; Marshall, Deborah A.; Kilambi, Vikram; Mühlbacher, Axel; Regier, Dean A.; Bresnahan, Brian W.; Kanninen, Barbara; Bridges, John F.P.

doi:10.1016/j.jval.2012.08.2223

Cited by 1,344 publications

(1,281 citation statements)

References 33 publications

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“…The combinations of attributes and levels that defined each treatment pair were determined by an experimental design, which was developed consistent with recent guidance (10). We used the SAS implementation of a commonly used D-optimal algorithm to construct a fractional factorial experimental design (11,12).…”

Section: Methodsmentioning

confidence: 99%

Patients' Willingness to Trade Off Between the Duration and Frequency of Rheumatoid Arthritis Treatments

Poulos

Hauber

González

et al. 2014

Arthritis Care & Research

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Objective. Biologic treatments for rheumatoid arthritis (RA) vary widely in both the time required to administer treatment and treatment frequency. This study aimed to quantify the rate at which RA patients are willing to trade off between the time required to administer treatment (duration) and treatment frequency. Methods. Respondents with a self-reported physician diagnosis of moderate to severe RA completed an online discrete choice experiment survey (also known as conjoint analysis). Respondents were presented with a series of treatmentchoice questions. Each hypothetical treatment included 6 attributes: response rate, mode of administration, treatment duration, treatment frequency, and the risks of immediate mild and serious treatment reactions. Preference weights, also called marginal utilities or relative importances, were estimated using mixed-logit methods and then used to calculate the marginal rates of substitution between attributes, including treatment duration and treatment frequency. Results. Among the 901 respondents, 505 were in the RA Information, Service, and Education group (www.risesupport. com) and 396 were members of an online panel. The marginal utility of changes in treatment features was largest for a 1-hour change in treatment duration, while a 1-unit change in the annual frequency of treatment was the second least important change. The marginal utility of changes in annual treatment frequency depends on the treatment duration and vice versa. Conclusion. Respondents would accept treatments with lower efficacy and greater risk to achieve lower duration and frequency. Previous studies have linked patient preferences to treatment adherence, suggesting that reductions in duration or frequency could improve adherence and health outcomes.

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Section: Methodsmentioning

confidence: 99%

Patients' Willingness to Trade Off Between the Duration and Frequency of Rheumatoid Arthritis Treatments

Poulos

Hauber

González

et al. 2014

Arthritis Care & Research

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“…4*(3^3)*2) different pharmacy services, in 23,220 different pairs. 37 Experimental design theory was used to select a manageable number of pairs to present to participants, whilst maximising the efficiency (i.e. precision) of the preference estimates elicited from the choices.…”

Section: (I) Identification and Selection Of Attributes And Levelsmentioning

confidence: 99%

Preferences for the delivery of community pharmacy services to help manage chronic conditions

Whitty

Kendall

Sav

et al. 2015

Research in Social and Administrative Pharmacy

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“…It is used for a study of reported behaviour [18]. The vignettes are presented in pairs of two to the respondents.…”

Section: Methodsmentioning

confidence: 99%

Effects of Selective Contracting with Positive Incentives on the Choices of Dutch Consumers for Health Care Options: Results of an Experiment

Enzerink¹,

Lako²

2016

Health

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Since the introduction of the Health Insurance Act in the Netherlands in 2006, insurers are incentivized to compete on price for basic health insurance, and on price and quality for supplementary insurance. It is possible for health insurers to implement a differentiated deductible since the first of January 2009. This paper describes an experiment. It is designed to study this differentiated deductible as a financial policy instrument. It focuses on the effect of selective contracting with positive incentives on the choice-behaviour of the insured. The goal of this study is to gain insight in the working mechanism of this financial policy instrument that is meant to reduce healthcare costs. The study is designed as a vignette study. The vignettes are presented in pairs of two to the respondents. The vignettes contain various elements including premium costs, deductible, degree of selective contracting and availability of quality-information (CQI). As the respondents in the design of this choice experiment have to choose between confronting health plans, it is understandable that they value these policies on their characteristics (so-called attributes). Subsequently, a statement can be formulated on the relative value assigned to these attributes by the respondents, clearly preferring one health plan over the other. Finally 99 respondents were included in our study. Logistic regression analysis was performed. This study shows that the deductible as choice-influencing instrument has less influence as age increases. The proclaimed cost savings of this deductible might be lower than expected. Generally, it can be concluded that healthier people are less likely to choose the extensive health plan. However, this effect reverses when the most extensive and less extensive are presented to the participants. The results thus show a clear demarcation in the preferences of consumers. A similar demarcation also has been found in the data concerning travel distance. When contracted care is within 30 minutes, this health plan is preferred over the more extensive and expensive one. However, this study also shows that this effect reverses when the travel distance increases to 45 minutes. Consumers in this situation are reluc-F.-W. Enzerink, C. Lako 774 tant to choose selective care and choose for the extensive and expensive option. Premium costs have a negative effect. A health plan becomes less attractive when the price increases. In addition, an increase in the availability of CQI makes a health plan more attractive. It can be concluded from this study that the deductible as choice-influencing instrument seems to work for young and healthy people, provided that they do not have to travel more that 30 minutes.

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Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force

Cited by 1,344 publications

References 33 publications

Patients' Willingness to Trade Off Between the Duration and Frequency of Rheumatoid Arthritis Treatments

Patients' Willingness to Trade Off Between the Duration and Frequency of Rheumatoid Arthritis Treatments

Preferences for the delivery of community pharmacy services to help manage chronic conditions

Effects of Selective Contracting with Positive Incentives on the Choices of Dutch Consumers for Health Care Options: Results of an Experiment

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