Exploring the social value of health-care interventions: a stated preference discrete choice experiment

2009 ◽  
Vol 18 (8) ◽  
pp. 951-976 ◽  
Author(s):  
Colin Green ◽  
Karen Gerard
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Stated Preference ◽  
Social Value ◽  
Health Care Interventions ◽  
The Social ◽  
Value Of Health

Using a stated preference discrete choice experiment to assess societal value from the perspective of decision-makers in Europe. Does it work for rare diseases?

Health Policy ◽  
2019 ◽  
Vol 123 (2) ◽  
pp. 152-158 ◽  
Author(s):  
J. López-Bastida ◽  
J.M. Ramos-Goñi ◽  
I. Aranda-Reneo ◽  
M. Trapero-Bertran ◽  
P. Kanavos ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Rare Diseases ◽  
Choice Experiment ◽  
Stated Preference ◽  
Decision Makers ◽  
Societal Value

scholarly journals Understanding uptake of digital health products: Methodology tutorial for a Discrete Choice Experiment using a Bayesian efficient design (Preprint)

2021 ◽  
Author(s):  
Dorothy Szinay ◽  
Rory Cameron ◽  
Felix Naughton ◽  
Jennifer A. Whitty ◽  
Jamie Brown ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Stated Preference ◽  
Digital Health ◽  
Revealed Preferences ◽  
Quantitative Methodology ◽  
Efficient Design ◽  
Trade Offs ◽  
Health Products

UNSTRUCTURED Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences in the absence of observational data. A discrete choice experiment (DCE) is a commonly used stated preference method; a quantitative methodology that argues that individuals make trade-offs when engaging in a decision by choosing an alternative of a product or service that offers the greatest utility, or benefit. This methodology is widely used in health economics in situations where revealed preferences are difficult to collect but is much less used in the field of digital health. This article outlines the stages involved in developing a discrete choice experiment. As a case study, it uses the application of a DCE for revealing preferences in targeting the uptake of smoking cessation apps. It describes the establishment of attributes, the construction of choice tasks of two or more alternatives, and the development of the experimental design. This tutorial offers a guide for researchers with no prior knowledge of this research technique.

scholarly journals Varying Opinions on Who Deserves Collectively Financed Health Care Services: A Discrete Choice Experiment on Allocation Preferences of the General Public

2018 ◽  
Vol 55 ◽  
pp. 004695801775198
Author(s):  
Maartje J. van der Aa ◽  
Aggie T. G. Paulus ◽  
Mickaël J. C. Hiligsmann ◽  
Johannes A. M. Maarse ◽  
Silvia M. A. A. Evers
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
General Public ◽  
Choice Experiment ◽  
Access To Health Care ◽  
Health Care Services ◽  
Insurance Coverage ◽  
Financial Capacity ◽  
Medical Needs

In Europe, health insurance arrangements are under reform. These arrangements redistribute collectively financed resources to ensure access to health care for all. Allocation of health services is historically based on medical needs, but use of other criteria, such as lifestyle, is debated upon. Does the general public also have preferences for conditional allocation? This depends on their opinions regarding deservingness. The aim of this study was to gain insight in those opinions, specifically by examining the perceived weight of different criteria in allocation decisions. Based on literature and expert interviews, we included 5 criteria in a discrete choice experiment: need, financial capacity, lifestyle, cooperation with treatment, and package/premium choice. A representative sample of the Dutch population was invited to participate (n = 10 760). A total of 774 people accessed the questionnaire (7.2%), of whom 375 completed it (48.4%). Medical need was overall the most important criterion in determining deservingness (range β = 1.60). Perceived deservingness decreased if claimants had higher financial capacity (1.26) and unhealthier lifestyle (1.04), if their cooperation was less optimal (1.05), or if they had opted for less insurance coverage (0.56). However, preferences vary among respondents, in relation to demographic and ideological factors.

scholarly journals Designing a brief behaviour change intervention to reduce sexually transmitted infections: a discrete choice experiment

2018 ◽  
Vol 29 (9) ◽  
pp. 851-860 ◽  
Author(s):  
Alec Miners ◽  
Carrie Llewellyn ◽  
Carina King ◽  
Alex Pollard ◽  
Anupama Roy ◽  
...  
Keyword(s):  
Health Care ◽  
Sexually Transmitted Infections ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Important Determinant ◽  
Behavioural Change ◽  
Behaviour Change Intervention ◽  
Sexually Transmitted ◽  
Sex With Men

To understand whether people attending sexual health (SH) clinics are willing to participate in a brief behavioural change intervention (BBCI) to reduce the likelihood of future sexually transmitted infections (STIs) and to understand their preferences for different service designs, we conducted a discrete choice experiment (DCE) with young heterosexual adults (aged 16–25 years), and men who have sex with men (MSM) aged 16 or above, attending SH clinics in England. Data from 368 participants showed that people particularly valued BBCIs that involved talking (OR 1.45; 95%CI 1.35, 1.57 compared with an ‘email or text’-based BBCIs), preferably with a health care professional rather than a peer. Findings also showed that 26% of respondents preferred ‘email/texts’ to all other options; the remaining 14% preferred not to participate in any of the offered BBCIs. These results suggest that most people attending SH clinics in England are likely to participate in a BBCI if offered, but the type/format of the BBCI is likely to be the single important determinant of uptake rather than characteristics such as the length and the number of sessions. Moreover, participants generally favoured ‘talking’-based options rather than digital alternatives, which are likely to require the most resources to implement.

Investigating the relative value of health and social care related quality of life using a discrete choice experiment

2019 ◽  
Vol 233 ◽  
pp. 28-37 ◽  
Author(s):  
Brendan Mulhern ◽  
Richard Norman ◽  
Richard De Abreu Lourenco ◽  
Juliette Malley ◽  
Deborah Street ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Social Care ◽  
Relative Value ◽  
Health And Social Care ◽  
Related Quality ◽  
Value Of Health

scholarly journals Understanding Midwives’ Preferences for Providing Information About Newborn Bloodspot Screening

2018 ◽  
Vol 3 (1) ◽  
pp. 238146831774617 ◽  
Author(s):  
Stuart James Wright ◽  
Fiona Ulph ◽  
Tina Lavender ◽  
Nimarta Dharni ◽  
Katherine Payne
Keyword(s):  
Conjoint Analysis ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Screening Program ◽  
Stated Preference ◽  
Information Provision ◽  
Stated Preference Survey ◽  
Newborn Bloodspot Screening ◽  
Types Of Information

Background: Understanding preferences for information provision in the context of health care service provision is challenging because of the number of potential attributes that may influence preferences. This study aimed to identify midwives’ preferences for the process and outcomes of information provision in an expanded national newborn bloodspot screening program. Design: A sample of practicing midwives completed a hybrid-stated preference survey including a conjoint analysis (CA) and discrete choice experiment to quantify preferences for the types of, and way in which, information should be provided in a newborn bloodspot screening program. Six conjoint analysis questions captured the impact of different types of information on parents’ ability to make a decision, and 10 discrete choice experiment questions identified preferences for four process attributes (including parents’ ability to make a decision). Results: Midwives employed by the UK National Health Service (n = 134) completed the survey. All types of information content were perceived to improve parents’ ability to make a decision except for the possibility of false-positive results. Late pregnancy was seen to be the best time to provide information, followed by day 3 postbirth. Information before 20 weeks of pregnancy was viewed as reducing parents’ ability to make a decision. Midwives preferred information to be provided by an individual discussion and did not think parents should receive information on the Internet. Conclusion: A hybrid stated preference survey design identified that a wide variety of information should be provided to maximize parents’ ability to make a decision ideally provided late in pregnancy or on day 3 postbirth.

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