Background: Goals play an important role in the choices that individuals make. Yet, there is no clear approach of how to incorporate goals in discrete choice experiments. In this paper, we present such an approach and illustrate it in the context of lifestyle programs. Furthermore, we investigate how non-health vs. health goals affect individuals' choices via non-goal attributes.
Methods: We used an unlabeled discrete choice experiment about lifestyle programs based on two experimental conditions in which either a non-health goal (i.e., looking better) or a health goal (i.e., increasing life expectancy) was presented to respondents as a fixed attribute level for the goal attribute. Respondents were randomly distributed over the experimental conditions. Eventually, we used data from 407 Dutch adults who reported to be overweight (n = 212 for the non-health goal, and n = 195 for the health goal).
Results: Random parameter logit model estimates show that the type of goal significantly (p < 0.05) moderates the effect that the attribute diet has on lifestyle program choice, but that this is not the case for the attributes exercise per week and expected weight loss.
Conclusions: A flexible diet is more important for individuals with a non-health goal than for individuals with a health goal. Therefore, we advise policy makers to use information on goal interactions for developing new policies and communication strategies to target population segments that have different goals. Furthermore, we recommend researchers to consider the impact of goals when designing discrete choice experiments.
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http://dx.doi.org/10.1186/s12889-020-8416-3 | DOI Listing |
J Family Med Prim Care
November 2024
Department of General Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India.
Background: Uncontrolled diabetes persists despite guideline-based treatment, partly attributed to inadequate patient involvement. This research addresses shared decision-making by eliciting patient preferences in Type 2 Diabetes Mellitus (T2DM) treatment based on certain key attributes and explores their correlation with socio-demographic-clinical profiles.
Methods: A discrete choice experiment (DCE) was conducted among T2DM outpatients in an Indian tertiary care center.
Background: Prior to COVID-19, little was known about how risks associated with such a pandemic would compete with and influence patient decision making regarding cancer risk reducing medical decision making. We investigated how the pandemic affected preferences for medical risk-reducing strategies among women at elevated risk of breast or ovarian cancer.
Methods: We conducted a discrete choice experiment.
Soc Sci Med
December 2024
Département de gestion, Evaluation et politique de santé, School of Public Health, University of Montreal, Montreal, QC, Canada; CR-IUSMM, CIUSSS de l'Est de l'Île de Montréal, 7101 Parc Avenue, Montreal, QC, H3N 1X9, Canada.
Objective: To develop a value set for the Short-Form 6-Dimension version 2 (SF-6Dv2) by incorporating societal preferences obtained from three distinct approaches: Standard Gamble (SG), composite Time Trade-Off (cTTO), and Discrete Choice Experiment (DCE).
Methods: Data were gathered from the general population of Quebec, Canada, using the standardized valuation protocol developed by EuroQol for the cTTO and DCE tasks, as well as the valuation protocol developed by Sheffield University for the SG. The SG and cTTO data were analyzed using OLS, GLS, GLS Tobit, and heteroskedastic Tobit models.
BMJ Open
December 2024
Stomatologic Hospital & College, Key Lab of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, Anhui, China
Objectives: The objective of this study is to analyse the preferences of guardians of school-aged children for children's caries prevention services (CPS) and their willingness to pay (WTP) for different levels of attributes.
Design: Four key attributes were identified through a literature review and expert consultations: preventive service time, preventive effectiveness, distance (driving time to service institution) and service cost (out-of-pocket for CPS). A D-efficient design was used to create a discrete choice experiment questionnaire, and data were collected via face-to-face interviews.
BMC Psychiatry
December 2024
Department of Economics, University of Bergen, Postboks, Bergen, 7802, 5020, Norway.
Background: Opioid use disorders constitute a vast disease burden, need for comprehensive treatment, and substantial costs to individuals, families, and society. The multifaceted needs of people with opioid dependence call for integrated care. The study aims to assess the added value of an integrated medically assisted rehabilitation (MAR) program providing opioid agonist therapy for patients with opioid dependence as compared to the standard of care (SoC) in Norway.
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