Best--worst scaling: What it can do for health care research and how to do it.
J Health Econ
; 26(1): 171-89, 2007 Jan.
Article
en En
| MEDLINE
| ID: mdl-16707175
ABSTRACT
Statements like "quality of care is more highly valued than waiting time" can neither be supported nor refuted by comparisons of utility parameters from a traditional discrete choice experiment (DCE). Best--worst scaling can overcome this problem because it asks respondents to perform a different choice task. However, whilst the nature of the best--worst task is generally understood, there are a number of issues relating to the design and analysis of a best--worst choice experiment that require further exposition. This paper illustrates how to aggregate and analyse such data and using a quality of life pilot study demonstrates how richer insights can be drawn by the use of best--worst tasks.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Calidad de Vida
/
Comportamiento del Consumidor
/
Investigación sobre Servicios de Salud
Límite:
Humans
País/Región como asunto:
Europa
Idioma:
En
Revista:
J Health Econ
Asunto de la revista:
HOSPITAIS
/
SERVICOS DE SAUDE
Año:
2007
Tipo del documento:
Article
País de afiliación:
Reino Unido