Panel discussion on the application of MCDA tools

Prioritization in healthcare is particularly sensitive to subjective biases and data asymmetry. Yet making data-based and objective decisions are critical to optimizing long term individual and societal benefit. Multi-Criteria-Decision-Making-Analysis (MCDA) provides shared processes, structure, and...

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Detalles Bibliográficos
Autor principal: Watson, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225553/
https://www.ncbi.nlm.nih.gov/pubmed/30455599
http://dx.doi.org/10.1186/s12962-018-0130-y
Descripción
Sumario:Prioritization in healthcare is particularly sensitive to subjective biases and data asymmetry. Yet making data-based and objective decisions are critical to optimizing long term individual and societal benefit. Multi-Criteria-Decision-Making-Analysis (MCDA) provides shared processes, structure, and language to enable this. This panel presented and discussed three examples of MCDA application to health technology assessment, national healthcare strategy and balancing the priorities of providers and customers.

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