China
Africa
Explore chapters and articles related to this topic
Trade-Off Analysis of Health and Wellness Tourism Destination Attributes: An Outbound U.S. Consumers' Perspective
Published in Frederick J. DeMicco, Ali A. Poorani, Medical Travel Brand Management, 2023
Radesh Palakurthi, Frederick J. DeMicco
This research applied conjoint methodology to determine the relative importance of the key variables and the incumbent trade-offs that consumers make while choosing a health and wellness tourism destination. Conjoint analysis is an established technique applied in research for evaluating the value proposition or the utilities of products with multiple critical factors (Kohli and Sukumar, 1990). Conjoint analysis has been used for a wide range of applications, including product design, price testing, and service development plans. The underlying benefit is the evaluation of the key attributes and their levels to tease out relationships and variable interplay that would otherwise be opaque. For example, one of the early and seminal studies that evaluated the attributes for designing a new hotel brand for a popular hotel chain applied conjoint methodology (Wind, Green, and Shifflet, 1989). In that study, the researchers evaluated 50 hotel factors with 167 levels in all ranging from building shape to lounge atmosphere. Through an empirical evaluation, the researchers developed the now very successful Courtyard by Marriott hotel brand. Similarly, researchers have identified the most preferred performing arts tourism products as perceived by tourists using conjoint techniques (Kim, Chung, Petrick, and Park, 2018; Ross, Norman, and Dorsch, 2003).
C
Published in Alan Earl-Slater, Dictionary of Health Economics, 2018
Methods of establishing the factors that influence a person’s demand for goods and services. Five steps in conjoint analysis are: identifying factors to be included in the study; assigning values to these; presenting realistic scenarios for the person to choose between; recording their preferences; collating and analysing the results. Sometimes called vignette analysis. SeeAbility to pay; Derive demand; Standard gamble; Time trade-off; Willingness to pay.
Obtaining the views of the public: using conjoint analysis studies when eliciting preferences in healthcare
Published in David Kernick, Getting Health Economics into Practice, 2018
Mandy Ryan, Shelley Farrar, Caroline Reeves
At a more general level, conjoint analysis is a rigorous survey technique for eliciting patient/community views in healthcare. The technique has been successfully applied in healthcare, and shows great potential as an instrument for establishing patient and community preferences (as well as those of clinicians and policy makers). Important areas of future research relate to experimental design, alternative methods of data collection and analysis and investigation of the underlying axioms of economic theory. Collaborative work with psychologists and qualitative researchers will prove useful when investigating these issues.30
Using conjoint analysis to investigate hospital directors’ preference in adoption of an evidence-based intervention
Published in International Journal of Healthcare Management, 2021
Chunqing Lin, Li Li, Sung-Jae Lee, Liang Chen, Yunjiao Pan, Jihui Guan
Conjoint analysis is a popular marketing research technique that marketers use to determine how consumers make decisions and what they value in products when making a purchase [8]. The statistical technique starts with defining a product with a set of features (attributes), and each attribute can then be broken down into a number of levels. First, the customers would be presented with a series of combination of attributes and levels, and then asked to rate their preference of each combination [9,10]. The statistical analysis of respondents’ preference rating would allow researchers to quantify the value (or the impact score) of each product attributes in terms of its contribution to the customer’s decision. The method has been applied in health research to study individual acceptability of healthcare services, such as HIV testing, vaccine, and microbicides [11–13].
The effect of partner HIV status on motivation to take antiretroviral and isoniazid preventive therapies: a conjoint analysis
Published in AIDS Care, 2018
Hae-Young Kim, Colleen F. Hanrahan, David W. Dowdy, Neil Martinson, Jonathan Golub, John F P Bridges
We conducted a cross-sectional survey using a conjoint analysis to elicit patients’ motivation for IPT and ART. Conjoint analysis refers to the methods that elicit respondents’ preferences by allowing them to make choices over sets of hypothetical alternatives, where each alternative is described by several characteristics (i.e., Attributes) related to health services or goods of interest (Bridges et al., 2011; Louviere, Hensher, & Swait, 2000). It has been applied to measuring preferences for a wide range of health applications including condom use (Bridges, Selck, Gray, McIntyre, & Martinson, 2011), HIV prevention (Newman, Cameron, Roungprakhon, Tepjan, & Scarpa, 2016) and treatment (Kruk et al., 2016), and delivery services (Kruk, Paczkowski, Mbaruku, de Pinho, & Galea, 2009). The advantage of conjoint analysis is the ability to quantify patients’ preferences among different attributes thus helping to design patient-centered interventions and health services (Bridges et al., 2011).
Estimation of the value of convenience in taking influenza antivirals in Japanese adult patients between baloxavir marboxil and neuraminidase inhibitors using a conjoint analysis
Published in Journal of Medical Economics, 2021
Naoki Hosogaya, Takahiro Takazono, Akira Yokomasu, Shinzo Hiroi, Hidetoshi Ikeoka, Kosuke Iwasaki, Tomomi Takeshima, Hiroshi Mukae
We evaluated the monetary value of the convenience of antivirals for influenza treatment in patients through the conjoint analysis based on an online survey. Conjoint analysis is an established research method and is increasingly applied in the medical field to assess value from the patient’s perspective11. In addition, good research practices for the conjoint analysis have been identified by the International Society for Pharmacoeconomics and Outcomes Research (ISPOR)12. We assumed that efficacy and safety is equivalent among the antivirals in this survey. We also used a survey to examine the most recent experiences of antiviral intake during the period of taking antivirals and later.