Predicting Prescribing Intention and Assessing Drug Attribute Importance Using Conjoint Analysis

1988 ◽  
Vol 3 (2) ◽  
pp. 3-18 ◽  
Author(s):  
Vijit Chinburapa ◽  
Lon N. Larson
2018 ◽  
Vol 38 (6) ◽  
pp. 746-755 ◽  
Author(s):  
Marieke G.M. Weernink ◽  
Janine A. van Til ◽  
Holly O. Witteman ◽  
Liana Fraenkel ◽  
Maarten J. IJzerman

Background. There is an increased practice of using value clarification exercises in decision aids that aim to improve shared decision making. Our objective was to systematically review to which extent conjoint analysis (CA) is used to elicit individual preferences for clinical decision support. We aimed to identify the common practices in the selection of attributes and levels, the design of choice tasks, and the instrument used to clarify values. Methods. We searched Scopus, PubMed, PsycINFO, and Web of Science to identify studies that developed a CA exercise to elicit individual patients’ preferences related to medical decisions. We extracted data on the above-mentioned items. Results. Eight studies were identified. Studies included a fixed set of 4–8 attributes, which were predetermined by interviews, focus groups, or literature review. All studies used adaptive conjoint analysis (ACA) for their choice task design. Furthermore, all studies provided patients with their preference results in real time, although the type of outcome that was presented to patients differed (attribute importance or treatment scores). Among studies, patients were positive about the ACA exercise, whereas time and effort needed from clinicians to facilitate the ACA exercise were identified as the main barriers to implementation. Discussion. There is only limited published use of CA exercises in shared decision making. Most studies resembled each other in design choices made, but patients received different feedback among studies. Further research should focus on the feedback patients want to receive and how the CA results fit within the patient–physician dialogue.


2017 ◽  
Vol 3 (4) ◽  
pp. 424-441
Author(s):  
Cine van Zyl

Purpose The purpose of this paper is threefold: first, to describe a novel tool (conjoint analysis (CA)) for application by explaining the theory behind it; second, how the tool was developed; and third, how it can be used to ensure an optimal festival/event offering. In this way, the research needed on the individual behavioural and psychological factors of the events-tourism sector are addressed. Design/methodology/approach Planned events in this case the three largest arts festivals in South Africa (SA) (in Potchefstroom – Festival A, Grahamstown – Festival B and Oudtshoorn – Festival C) were studied. Five different attributes – festival brands, ticket prices, entertainment activities, food and beverages and transport to venues – were developed to describe arts festivals. The data were analysed using CA. CA was used in a linear regression model with individual ratings for each arts festival product. In addition, two techniques often used as complementary to and in conjunction with CA, namely, cluster and correspondence analysis were also used. K-means clustering constructed a four-factor solution, which categorised and labelled the attributes as, brand-, price-, activity- and transport-sensitive. The software package STATISTICA used the results for the correspondence analysis to draw maps between the arts festivals and attribute importance, age groups and festival attributes, arts festivals and language. Findings Festival A and B preferred the attribute level quality music, whilst Festival C preferred quality performances on the attribute entertainment. On the attribute refreshments, Festivals B and C preferred value for money and Festival A, a wide variety of good quality refreshments. On the attributes transport and ticket prices, all three festivals agreed for safe and secure parking and at the same price. Research limitations/implications This paper demonstrates, by applying the recommended tool, how it can be used to distinguish festivals/events in an overcrowded SA market with the possibility of providing a competitive advantage. In that all three festivals researched preferred the attribute festival brand held in the region which destination marketing organisations (DMOs) can use to their advantage. Practical implications This paper demonstrates, by applying the recommended tool, how it can be used to distinguish festivals/events in an overcrowded SA market with the possibility of providing a competitive advantage. In that all three festivals researched preferred the attribute festival brand held in the region which DMOs can use to their advantage. Originality/value The description of the development of the model could illustrate how market positioning (by way of revitalizing older theories), in the arts festival context can be approached to ensure an optimal arts festival offering. By so doing the paper strives to make an academic contribution.


2021 ◽  
Author(s):  
Jun Zheng ◽  
Jingming Wei ◽  
Ying Xie ◽  
Siyao Chen ◽  
Jun Li ◽  
...  

Abstract Background: Quality and cost of medical device maintenance are dominant factors influencing hospitals’ decision in choosing medical endoscope products. Effective and efficient medical device maintenance are also paramount for providing cost-effective and high quality of medical care. This research aims to facilitate decision-making at hospitals in choosing the suitable endoscope device and the associated maintenance service; it also aims to facilitate decision-making at suppliers to develop the right products and services to fulfill customer demands.Methods: A cross-sectional survey was undertaken in 50 Chinese hospitals, including primary and tertiary hospitals. Moreover, 65 medical staff and 56 medical engineers were recruited from 50 Chinese hospitals. A comprehensive set of attributes were defined and investigated. Conjoint analysis and orthogonal design were used for survey design and statistical analysis. Results: Attribute importance and utility values of decision-making factors were analyzed at the aggregate, occupation, and medical institution levels. (1) At the aggregate level, the most critical factor is "maintenance response" and the least important one is "maintenance efficiency". (2) At the occupation level, medical staff paid more attention to "maintenance response" and medical engineers paid more attention to "maintenance quality". (3) At the medical institution level, Primary hospitals paid more attention to "maintenance price", while tertiary hospitals paid more attention to "maintenance quality". Conclusions: In general, this study provides a more scientific decision-making tool to both hospitals in choosing maintenance service of medical equipment such as endoscopy, and it also helps manufacturers and suppliers improve the after-sales service.


2021 ◽  
Author(s):  
Jun Zheng ◽  
Jingming Wei ◽  
Ying Xie ◽  
Siyao Chen ◽  
Jun Li ◽  
...  

Abstract Background: Medical endoscope instruments are minimally invasive, and they are widely used to investigate symptoms or help to perform certain types of surgery. This study investigates and defines a comprehensive set of attributes, to measure the after-sales service of medical endoscopes. The set of attributes help customers communicate their real needs with suppliers, and guide suppliers to develop the right products and services to fulfil customer demands. Methods: Based on literature review and the findings from the Delphi study, we identified 5 factors (attributes) that best described the expectations on the after-sales service of medical endoscopes. Using conjoint analysis, a set of 16 combinations (also named as cards or profiles) of the factor levels were generated in orthogonal design and used to develop the questionnaire. We administered the cards to 65 medical staff and 56 medical engineers across 50 Chinese hospitals, asking them to assign a preference score to each card. The utility value of each factor level was estimated and attribute importance values were obtained.Results: Attribute importance and utility values of factor levels were analysed at the aggregate level, occupation level, and medical institution level. (1) At the aggregate level, the five attributes were ranked in the order of importance values, the most important one is “maintenance response” and the least important is “maintenance efficiency”. (2) Medical staff and medical engineers ranked the five attributes in the same order. However, medical staff paid more attention to "maintenance response" and medical engineers paid more attention to "maintenance quality". (3) At the medical institution level, primary hospitals paid more attention to "maintenance price", while tertiary hospitals paid more attention to "maintenance quality".Conclusions: In this study, the utility values and attribute importance that affected the after-sales service level of medical endoscopes were obtained using conjoint analysis. The research results were consistent with the actual market situation of medical endoscope service. In general, this study provides a more scientific solution for hospitals in choosing after-sales service of medical equipment, and it also helps manufacturers and suppliers improve the after-sales service.


2020 ◽  
Author(s):  
Jun Zheng ◽  
Jingming Wei ◽  
Ying Xie ◽  
Siyao Chen ◽  
Jun Li ◽  
...  

Abstract Background: Medical endoscope instruments are minimally invasive, and they are widely used to investigate symptoms or help to perform certain types of surgery. This study investigates and defines a comprehensive set of attributes, to measure the after-sales service of medical endoscopes. The set of attributes help customers communicate their real needs with suppliers, and guide suppliers to develop the right products and services to fulfil customer demands. Methods: Based on literature review and the findings from the Delphi study, we identified 5 factors (attributes) that best described the expectations on the after-sales service of medical endoscopes. Using conjoint analysis, a set of 16 combinations (also named as cards or profiles) of the factor levels were generated in orthogonal design and used to develop the questionnaire. We administered the cards to 65 medical staff and 56 medical engineers across 50 Chinese hospitals, asking them to assign a preference score to each card. The utility value of each factor level was estimated and attribute importance values were obtained.Results: Attribute importance and utility values of factor levels were analysed at the aggregate level, occupation level, and medical institution level. (1) At the aggregate level, the five attributes were ranked in the order of importance values, the most important one is “maintenance response” and the least important is “maintenance efficiency”. (2) Medical staff and medical engineers ranked the five attributes in the same order. However, medical staff paid more attention to "maintenance response" and medical engineers paid more attention to "maintenance quality". (3) At the medical institution level, primary hospitals paid more attention to "maintenance price", while tertiary hospitals paid more attention to "maintenance quality".Conclusions: In this study, the utility values and attribute importance that affected the after-sales service level of medical endoscopes were obtained using conjoint analysis. The research results were consistent with the actual market situation of medical endoscope service. In general, this study provides a more scientific solution for hospitals in choosing after-sales service of medical equipment, and it also helps manufacturers and suppliers improve the after-sales service.


2001 ◽  
Vol 18 (5) ◽  
pp. 437-448 ◽  
Author(s):  
Hernan Riquelme

Predicting one’s own decision‐making policies is evidently a useful skill. How good are consumers at it? In spite of its importance, the question has not been much studied directly, although hints can be found in several parts of the literature. This article describes an experiment that identifies how much knowledge consumers have about an important purchase: a mobile phone. A total of 94 consumers provided ratings of the importance of six attributes and preference for several choices of mobile phone plans that were advertised in the market. Consumers’ self‐knowledge was assessed by three methods: comparing the product attribute importance derived from the subject’s model with the attribute importance derived from a conjoint analysis model; comparison of predicted judgments generated by the subject’s model with their holistic judgments; and comparison of the actual purchase of a mobile phone with the prediction generated by the subject’s model. Results show that consumers have a relatively good predictive power of a product they have chosen. However, this knowledge is not perfect. The results have important implications for companies that collect information about preferences from consumers.


2019 ◽  
Author(s):  
Allison N. Baker ◽  
Stephen Jeffrey Wilson ◽  
John Hayes

Introduction: Electronic cigarette (“eCig”) use – vaping – is increasingly popular. Factors like flavor, nicotine level, and device style may influence an individual’s decision to use eCigs. Here, we use choice-based conjoint analysis to quantify factors that drive acceptability of eCigs in adults, including flavors, device style, customizability, nicotine level, and use of eCigs for weight/appetite control or to manage food craving. Methods: Individuals who vaped at least twice in the past year completed a series of choice-based conjoint tasks online. They also completed the Penn State Electronic Cigarette Dependence Inventory (PSECDI) and a subset of questions from the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) that had been modified to ask about eCigs. Conjoint analysis was used to determine the utility scores of each attribute, and participants were split by gender to assess differences in attribute importance. Results: 587 participants who vaped at least once per week were included in analyses. In conjoint analysis, Flavor was the most important attribute (48.13%), followed by product messaging (21.04%) and nicotine level (15.28%). Within the Flavor attribute, confectionery and fruit flavors had the highest utility scores, while classic menthol and tobacco flavors had the lowest. Men and women differed in the flavors, nicotine levels, and product messaging that appealed most to them.Conclusions: Flavor is the most important factor in eCig appeal. Gender is also a factor in whether a specific product appeals to an individual. Understanding why individuals choose particular eCig products should help inform public health efforts and policy making. Implications: Use of eCigs is rapidly growing. Although perhaps less risky than smoking combustible cigarettes, vaping still presents substantial risk, both for nicotine addiction and overall health. Accordingly, to provide a foundational evidence base for the potential regulation of these devices, it is critical to develop a better understanding of the role of various product attributes play in the selection and use of electronic cigarette products.


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