DOI: 10.5061/dryad.hmgqnk9hv
title: Mental health network of Gipuzkoa dataset (2015) for benchmark analysis

description: This dataset contains data from the Mental Health System of Gipuzkoa,
 which are described in the manuscript: “Garcia-Alonso, CR., Almeda, N.,
 Salinas-Pérez, JA., Gutiérrez-Colosía, MR., Iruin-Sanz, A., &
 Salvador-Carulla., L. (2021). Use of a decision support system for
 benchmarking analysis and organizational improvement of regional mental
 health care: The case of Gipuzkoa (Basque Country, Spain)”. This
 manuscript has been submitted to Plos One journal. This research focused
 on developing an analytical process for assessing the performance of the
 Mental health (MH) system of Gipuzkoa and identifying benchmark and
 target-for-improvement catchment areas. For doing so a decision support
 system that integrated data envelopment analysis, Monte Carlo simulation
 and artificial intelligence was used. The units of analysis, which are
 considered the decision-making units, were the 13 catchment areas defined
 by a reference MH centre. The following indicators were assessed: relative
 technical efficiency, stability and entropy to guide organizational
 interventions. Main results of the analyses pointed out that the MH system
 of Gipuzkoa showed high efficiency scores in each main type of care
 (inpatient, day and outpatient), but it can be considered unstable (small
 changes can have relevant impacts on MH provision and performance). With
 regards to performance improvement, it is recommended to reduce admissions
 and readmissions for inpatient care, increase workforce capacity and
 utilization of day care services and increase the availability of
 outpatient care services.
description: The
 Mental Health Network of Gipuzkoa manages its community and rehabilitation
 MH services (774,700 residents). These services include outpatient and
 core health day care facilities closely related to both hospital services
 (inpatient) and the social care network for severe cases. The Mental
 Health Network of Gipuzkoa is divided into 13 catchment areas, all
 of which have a mental health centre, considered as a reference, with a
 distinct orientation to outpatient care (some of them also include health
 day care facilities). This paper has been submitted to Plos One
 journal. Each catchment area was described by 25
 variables: service availability, placement capacity and workforce
 capacity. Most variable values were expressed in rates per 100,000
 inhabitants (adults, over 18 years old). Utilization and performance
 variables were selected to collect information about service use, treated
 prevalence and incidence. Hospital discharges and readmissions were
 obtained from the 2015 MH utilization database (Health care Dashboard,
 Mental Health Network of Gipuzkoa). The structural variables (resource
 availability) were considered the input set, and utilization and
 performance variables (outcome proxies) were considered the output
 set. The inputs for the inpatient acute hospital care
 scenario were the number of available services (rate per 100,000
 inhabitants), number of beds (rate), number of psychiatrists (rate),
 number of psychologists and nurses (rate) and total number of
 professionals (rate), and the outputs were discharges (number of users),
 readmissions (number of users) and average length of stay (days).
 For the acute and non-acute core health day care scenario, the inputs
 were the number of available services (rate), number of psychiatrists
 (rate), number of psychologists and nurses (rate), total number of
 professionals (rate) and placement capacity (rate), and the outputs
 were the utilization of acute core health day care health services (number
 of places) and utilization of non-acute day care core health services
 (number of places). Finally, for the non-acute outpatient care scenario,
 the inputs were the number of available services (rate), number of
 psychiatrists (rate), number of psychologists (rate), number of nurses
 (rate) and total number of professionals (rate), and the outputs
 were the incidence (number of users), prevalence (number of users) and
 contacts (number of users).
description: The
 readme file contains an explanation of each variable in the dataset,
 including its variable name, units and explanation. This dataset has been
 used for assessing relative technical efficiency, stability and entropy
 indicators.