scholarly journals How will the end of bear bile farming in Vietnam influence consumer choice?

2021 ◽  
Author(s):  
Elizabeth Davis ◽  
Diogo Veríssimo ◽  
Brian Crudge ◽  
Sơn Sam ◽  
Dung Cao ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Discrete Choice ◽  
Consumer Choice ◽  
Western Medicine ◽  
Qualitative Interviews ◽  
Discrete Choice Experiments ◽  
The Past ◽  
Commercial Farming ◽  
Continued Use ◽  
Bear Bile

The Vietnamese Government committed to closing all bear farms in the country by 2022. Some researchers have expressed concerns that ending the commercial farming of bears while demand for bear bile persists could lead to increased hunting pressure on wild bear populations. In this article, we use mixed methods of questionnaires, discrete choice experiments (DCEs), and interviews to investigate current consumer demand for bear bile in Vietnam, with a specific aim of understanding the potential for consumers to seek out wild bear bile. We sampled at seven areas across the country of Vietnam (total respondents = 2,463). We found that when directly estimated, the use of farmed bear bile in the past twelve months was over 20% in only one site; in all other study areas the use of farmed bear bile was lower than 5%. The same site had the highest level of wild bear bile use, at 5%; all other sites were lower. Despite widespread beliefs in farmed and wild bear bile’s efficacy, we found through qualitative interviews with bear bile consumers that there was general apathy about the continued use of bear bile, with respondents saying that they would use another product once bear bile farms were fully gone. Coupled with a strong preference for using synthetic bear bile over wild and farmed bear bile found in the DCEs, we posit that bear bile consumers in Vietnam will be willing to use non-animal-based products, including bear bile plant and Western medicine, to treat future ailments.

What Do Patients Want from Otolaryngologists? A Discrete Choice Experiment

2017 ◽  
Vol 157 (4) ◽  
pp. 618-624 ◽  
Author(s):  
Matthew R. Naunheim ◽  
Vinay K. Rathi ◽  
Margaret L. Naunheim ◽  
Blake C. Alkire ◽  
Allen C. Lam ◽  
...  
Keyword(s):  
Decision Making ◽  
Physical Examination ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Logit Model ◽  
Qualitative Interviews ◽  
Wait Time ◽  
Discrete Choice Experiments ◽  
Quantitative Methodology ◽  
Attribute Importance

Objectives Patient preferences are crucial for the delivery of patient-centered care. Discrete choice experiments (DCEs) are an emerging quantitative methodology used for understanding these preferences. In this study, we employed DCE techniques to understand the preferences of patients presenting for an ear, nose, and throat clinic visit. Study Design DCE. Setting Decision science laboratory. Methods A DCE survey of 5 attributes—wait time, physician experience, physician personality, utilization of visit time, and cost/copayment—was constructed with structured qualitative interviews with patients. The DCE was administered to participants from the general population, who chose among hypothetical scenarios that varied across these attributes. A conditional logit model was used to determine relative attribute importance, with a separate logit model for determining subject effects. Results A total of 161 participants were included. Cost/copayment had the greatest impact on decision making (importance, 32.2%), followed by wait time and physician experience (26.5% and 24.7%, respectively). Physician personality mattered least (4.7%), although all attributes were significantly correlated to decision making. Participants preferred doctors who spent more time performing physical examination than listening or explaining. Participants were willing to pay $52 extra to avoid a 4-week delay in appointment time; $87 extra for a physician with 10 years of experience (vs 0 years); and $9 extra for a caring, friendly, and compassionate doctor (vs formal, efficient, and business-like). Conclusion DCEs allow for powerful economic analyses that may help physicians understand patient preferences. Our model showed that cost is an important factor to patients and that patients are willing to pay extra for timely appointments, experience, and thorough physical examination.

scholarly journals Patient and caregiver preferences for home dialysis--the home first study: a protocol for qualitative interviews and discrete choice experiments

BMJ Open ◽  
2015 ◽  
Vol 5 (4) ◽  
pp. e007405-e007405 ◽  
Author(s):  
R. C. Walker ◽  
R. L. Morton ◽  
A. Tong ◽  
M. R. Marshall ◽  
S. Palmer ◽  
...  
Keyword(s):  
Discrete Choice ◽  
Qualitative Interviews ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Home Dialysis

Designs of Discrete Choice Set Experiments for Estimating Both Attribute and Availability Cross Effects

1994 ◽  
Vol 31 (3) ◽  
pp. 375-383 ◽  
Author(s):  
Andreas G. Lazari ◽  
Donald A. Anderson
Keyword(s):  
Discrete Choice ◽  
Consumer Choice ◽  
Choice Behavior ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Policy Management ◽  
Strategic Policy ◽  
Consumer Choice Behavior ◽  
Choice Set ◽  
Marketing Problems

Probabilistic discrete choice experiments are frequently applied in strategic policy, management, and marketing problems to model and predict consumer choice behavior. The authors consider the construction of a class of discrete choice set experiment designs for estimating all availability and attribute cross effects where there are m brands and one attribute for each brand.

scholarly journals Is Infant/Toddler Anemia a Problem across Rural China? A Mixed-Methods Analysis

2018 ◽  
Vol 15 (9) ◽  
pp. 1825 ◽  
Author(s):  
Lei Wang ◽  
Yonglei Sun ◽  
Buyao Liu ◽  
Lijuan Zheng ◽  
Mengjie Li ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Rural China ◽  
Qualitative Interviews ◽  
Poor Quality ◽  
Deficiency Anemia ◽  
Mixed Methods Approach ◽  
The Past ◽  
Chinese Caregivers ◽  
Prevalence Of Anemia

In the past, iron-deficiency anemia in children has had a widespread presence in rural China. Given the recent economic growth in China, it is unclear if anemia among infants/toddlers remains a problem. The objective of this study is to measure the anemia rate in rural Chinese infants/toddlers across four major subpopulations and attempt to discover the sources of anemia. We use a mixed-methods approach combining quantitative data on 2909 rural Chinese infants/toddlers and their families with qualitative interviews with 84 caregivers of infants aged 6 to 30 months. Quantitative analysis indicates that the overall prevalence of anemia (43%) within sampled infants/toddlers was high, especially in comparison to the low rates of stunting (2–5%), being underweight (2%), and wasting (2–4%). These findings suggest that in rural China, anemia stems from the poor quality of the diets of infants/toddlers, rather than insufficient quantities of food being consumed. Qualitative analysis illustrates the factors that are contributing to anemia. Caregivers do not understand the causes of this condition, the symptoms that would lead one to recognize this condition, or the steps needed to treat their child with this condition. The findings offer a comprehensive understanding of the limited awareness of anemia among rural Chinese caregivers.

scholarly journals Mental health service preferences of patients and providers: a scoping review of conjoint analysis and discrete choice experiments from global public health literature over the last 20 years (1999–2019)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anna Larsen ◽  
Albert Tele ◽  
Manasi Kumar
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Services ◽  
Health Services ◽  
Conjoint Analysis ◽  
Discrete Choice ◽  
Choice Experiments ◽  
Preference Elicitation ◽  
Discrete Choice Experiments ◽  
The Past

Abstract Background In designing, adapting, and integrating mental health interventions, it is pertinent to understand patients’ needs and their own perceptions and values in receiving care. Conjoint analysis (CA) and discrete choice experiments (DCEs) are survey-based preference-elicitation approaches that, when applied to healthcare settings, offer opportunities to quantify and rank the healthcare-related choices of patients, providers, and other stakeholders. However, a knowledge gap exists in characterizing the extent to which DCEs/CA have been used in designing mental health services for patients and providers. Methods We performed a scoping review from the past 20 years (2009–2019) to identify and describe applications of conjoint analysis and discrete choice experiments. We searched the following electronic databases: Pubmed, CINAHL, PsychInfo, Embase, Cochrane, and Web of Science to identify stakehold,er preferences for mental health services using Mesh terms. Studies were categorized according to pertaining to patients, providers and parents or caregivers. Results Among the 30 studies we reviewed, most were published after 2010 (24/30, 80%), the majority were conducted in the United States (11/30, 37%) or Canada (10/30, 33%), and all were conducted in high-income settings. Studies more frequently elicited preferences from patients or potential patients (21/30, 70%) as opposed to providers. About half of the studies used CA while the others utilized DCEs. Nearly half of the studies sought preferences for mental health services in general (14/30, 47%) while a quarter specifically evaluated preferences for unipolar depression services (8/30, 27%). Most of the studies sought stakeholder preferences for attributes of mental health care and treatment services (17/30, 57%). Conclusions Overall, preference elicitation approaches have been increasingly applied to mental health services globally in the past 20 years. To date, these methods have been exclusively applied to populations within the field of mental health in high-income countries. Prioritizing patients’ needs and preferences is a vital component of patient-centered care – one of the six domains of health care quality. Identifying patient preferences for mental health services may improve quality of care and, ultimately, increase acceptability and uptake of services among patients. Rigorous preference-elicitation approaches should be considered, especially in settings where mental health resources are scarce, to illuminate resource allocation toward preferred service characteristics especially within low-income settings.

Is Healthcare Special?

2018 ◽  
Author(s):  
Gordon Moore ◽  
John A. Quelch ◽  
Emily Boudreau
Keyword(s):  
Consumer Choice ◽  
Special Relationship ◽  
Individual Choice ◽  
Health Consequences ◽  
Critical Question ◽  
The Past ◽  
Different Types ◽  
Collective Benefit ◽  
Patient Ethics

Chapter 2 asks the critical question of whether healthcare is different from other consumer-driven markets. In the past, many pushed back on the notion that healthcare could be a consumer-driven industry, arguing that it is fundamentally different from other markets. This chapter acknowledges and reviews these critiques, highlighting four areas that might present challenges to increasing consumer choice in healthcare: the special relationship between doctor and patient, ethics and morality, individual choice versus collective benefit, and the health consequences of consumer choice. In doing so, this chapter also presents a schematic for thinking about the different types of healthcare choices, arguing that not all choices are equal and consumers may be more prepared to make decisions in some areas as opposed to others. In presenting the counterargument to consumer choice, this chapter asks the reader to consider the drawbacks and potential limitations of consumer choice in healthcare.

scholarly journals Quantified Nostalgia: Social Media, Metrics, and Memory

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110088
Author(s):  
Benjamin N. Jacobsen ◽  
David Beer
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Qualitative Interviews ◽  
The Past ◽  
Group Data ◽  
Focus Group Data ◽  
Social Media Platforms ◽  
Memory Practices ◽  
The Relationship

As social media platforms have developed over the past decade, they are no longer simply sites for interactions and networked sociality; they also now facilitate backwards glances to previous times, moments, and events. Users’ past content is turned into definable objects that can be scored, rated, and resurfaced as “memories.” There is, then, a need to understand how metrics have come to shape digital and social media memory practices, and how the relationship between memory, data, and metrics can be further understood. This article seeks to outline some of the relations between social media, metrics, and memory. It examines how metrics shape remembrance of the past within social media. Drawing on qualitative interviews as well as focus group data, the article examines the ways in which metrics are implicated in memory making and memory practices. This article explores the effect of social media “likes” on people’s memory attachments and emotional associations with the past. The article then examines how memory features incentivize users to keep remembering through accumulation. It also examines how numerating engagements leads to a sense of competition in how the digital past is approached and experienced. Finally, the article explores the tensions that arise in quantifying people’s engagements with their memories. This article proposes the notion of quantified nostalgia in order to examine how metrics are variously performative in memory making, and how regimes of ordinary measures can figure in the engagement and reconstruction of the digital past in multiple ways.

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