TY - CONF
T1 - Assessment of relative technical efficiency of small mental health areas in bizkaia (basque country, Spain)
AU - Almeda, Nerea
AU - García-Alonso, Carlos
AU - Salinas-Pérez, José Alberto
AU - Gutiérrez-Colosía, Mencía R.
AU - Salvador-Carulla, Luis
N1 - Funding Information:
This study is part of a bigger Project named “Atlas de Salud Mental de Bizkaia” funded by the “Red de Salud Mental de Bizkaia”. It has been carried out in collaboration with “Osakidetza” and the “Departamento de Sanidad y Consumo del Gobierno Vasco”.
Publisher Copyright:
Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Mental disorders cause an enormous burden to society. Considering the current economic context, an efficient use of scarce inputs, with an appropriate outcome production, is crucial. This situation defines a classical Relative Technical Efficiency (RTE) problem. A well-known methodology to assess RTE is the Data Envelopment Analysis, although it presents some limitations. These may be overcome through a hybrid strategy that integrates Monte-Carlo simulation and artificial intelligence. This study aims to (1) design of a Decision Support System for the assessment of RTE of Small Mental Health Areas based on DEA; and (2) analyse 19 mental health areas of the Bizkaian Healthcare System (Spain) to classify them and to identify potential management improvements. The results have showed higher global RTE in the output-oriented orientation than in the input-oriented one. This suggests that a decision strategy based on improving the input management, within the ranges of the expert-driven model of community healthcare, could be appropriate. A future research line will focus our attention on the validation process through the analysis of micromanagement interventions and their potential impacts in the real system.
AB - Mental disorders cause an enormous burden to society. Considering the current economic context, an efficient use of scarce inputs, with an appropriate outcome production, is crucial. This situation defines a classical Relative Technical Efficiency (RTE) problem. A well-known methodology to assess RTE is the Data Envelopment Analysis, although it presents some limitations. These may be overcome through a hybrid strategy that integrates Monte-Carlo simulation and artificial intelligence. This study aims to (1) design of a Decision Support System for the assessment of RTE of Small Mental Health Areas based on DEA; and (2) analyse 19 mental health areas of the Bizkaian Healthcare System (Spain) to classify them and to identify potential management improvements. The results have showed higher global RTE in the output-oriented orientation than in the input-oriented one. This suggests that a decision strategy based on improving the input management, within the ranges of the expert-driven model of community healthcare, could be appropriate. A future research line will focus our attention on the validation process through the analysis of micromanagement interventions and their potential impacts in the real system.
KW - Data Envelopment Analysis
KW - Decision Support Systems
KW - Expert Knowledge
KW - Monte-Carlo DEA
KW - Operation Research in Health
KW - Relative Technical Efficiency
KW - Simulation
KW - Small Mental Health Areas
UR - http://www.scopus.com/inward/record.url?scp=85049213310&partnerID=8YFLogxK
UR - https://icores.scitevents.org/?y=2017
U2 - 10.5220/0006195603770384
DO - 10.5220/0006195603770384
M3 - Paper
AN - SCOPUS:85049213310
SP - 377
EP - 384
T2 - 6th International Conference on Operations Research and Enterprise Systems, ICORES 2017
Y2 - 23 February 2017 through 25 February 2017
ER -
