TECHNICAL EFFICIENCY

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

Peer reviewed: Yes Authors: García-Alonso, Carlos R. and Almeda, Nerea and Salinas-Pérez, José A. and Gutiérrez-Colosía, Mencía R. and Uriarte-Uriarte, José J. and Salvador-Carulla, Luis Publication: PLOS ONE. Year: 2019 DOI: https://doi.org/10.1371/journal.pone.0212179 Method: A Monte-Carlo simulation combined with a fuzzy inference engine was used to examine the Relative Technical Efficiency (RTE) of three proposed intervention scenarios. Message: Decision makers can use information from this approach to design new interventions and policies.

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Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support

Peer reviewed: Yes Authors: Gibert, Karina and García-Alonso, Carlos and Salvador-Carulla, Luis Publication: Health research policy and systems Year: 2010 DOI: https://doi.org/10.1186/1478-4505-8-28 Method: Descriptive introduction of a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge to improve decision support in healthcare systems. EbCA was compared to classical procedures using qualitative explicit prior knowledge in two case examples: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR).

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