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Using best–worst scaling to investigate preferences in health care
Introduction Best–worst scaling (BWS) is becoming increasingly popular to elicit preferences
in health care. However, little is known about current practice and trends in the use of BWS …
in health care. However, little is known about current practice and trends in the use of BWS …
Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues
AC Mühlbacher, P Zweifel, A Kaczynski… - Health economics …, 2016 - Springer
For optimal solutions in health care, decision makers inevitably must evaluate trade-offs,
which call for multi-attribute valuation methods. Researchers have proposed using best …
which call for multi-attribute valuation methods. Researchers have proposed using best …
Best-worst scaling: theory and methods
Best-Worst Scaling (BWS) can be a method of data collection, and/or a theory of how
respondents provide top and bottom ranked items from a list. We begin with a brief history …
respondents provide top and bottom ranked items from a list. We begin with a brief history …
Linking sensory characteristics to emotions: An example using dark chocolate
The conceptual profile of an unbranded product arises via three sources of influence:(i)
category effect–how consumers conceptualise the product category:(ii) sensory effect–how …
category effect–how consumers conceptualise the product category:(ii) sensory effect–how …
[HTML][HTML] The rise of best-worst scaling for prioritization: a transdisciplinary literature review
Best-worst scaling (BWS) is a theory-driven choice experiment used for the prioritization of a
finite number of options. Within the context of prioritization, BWS is also known as MaxDiff …
finite number of options. Within the context of prioritization, BWS is also known as MaxDiff …
Valuing citizen and patient preferences in health: recent developments in three types of best–worst scaling
There is increased interest in the use of best–worst scaling (BWS) as a method of preference
elicitation in health. However, the method is undergoing rapid development in several fields …
elicitation in health. However, the method is undergoing rapid development in several fields …
Best worst discrete choice experiments in health: methods and an application
A key objective of discrete choice experiments is to obtain sufficient quantity of high quality
choice data to estimate choice models to be used to explore various policy/clinically relevant …
choice data to estimate choice models to be used to explore various policy/clinically relevant …
Using best-worst scaling choice experiments to measure public perceptions and preferences for healthcare reform in Australia
Background: One of the greatest difficulties in evaluating healthcare system reform in any
country is that governments often do not clearly articulate what it is they are attempting to do …
country is that governments often do not clearly articulate what it is they are attempting to do …
Ordinal preference elicitation methods in health economics and health services research: using discrete choice experiments and ranking methods
Introduction The predominant method of economic evaluation is cost–utility analysis, which
uses cardinal preference elicitation methods, including the standard gamble and time trade …
uses cardinal preference elicitation methods, including the standard gamble and time trade …
Estimation of a preference-based carer experience scale
Background. There is growing interest in incorporating the effects of interventions on unpaid
carers in economic evaluation. Current methods focus on using health measures (which …
carers in economic evaluation. Current methods focus on using health measures (which …