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Urbanisation presents specific mental health challenges, requiring a better understanding of service availability in urban areas for mental health care planning. Our objective is to analyse patterns of urban mental healthcare provision in Australia, and compare these with relevant national and international regions to inform urban mental healthcare policy and planning. Following a health ecosystems approach, we use a standardised service classification instrument, the Description and Evaluation of Services and DirectoriEs (DESDE), and Mental Health Care Atlases, to compare the availability, bed capacity and diversity of services providing specialised mental health or psychosocial care that are universally accessible (ie provided at no or low cost only in all relevant care sectors in four Australian and three international urban regions. We used a heuristics approach and an homogeneity test. Applicability to local policy was assessed using the Adoption Impact Ladder. Community care was less developed in Australia than internationally, except in the case of residential care in Australian Capital Territory, our reference area. Alternatives to hospitalisation were scarce across all regions. The Atlas was applicable to regional and local mental health planning. Differences in pattern of care between regions has implications for planning, equality of access to care and prioritisation of resources. An ecosystems approach is relevant to service planning in mental healthcare at local level., Competing Interests: NO authors have competing interests., (Copyright: © 2023 Furst et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Decision support systems are appropriate tools for guiding policymaking processes, especially in mental health (MH), where care provision should be delivered in a balanced and integrated way. This study aims to develop an analytical process for (i) assessing the performance of an MH ecosystem and (ii) identifying benchmark and target-for-improvement catchment areas. MH provision (inpatient, day and outpatient types of care) was analysed in the Mental Health Network of Gipuzkoa (Osakidetza, Basque Country, Spain) using a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence. The unit of analysis was the 13 catchment areas defined by a reference MH centre. MH ecosystem performance was assessed by the following indicators: relative technical efficiency, stability and entropy to guide organizational interventions. Globally, 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). Both benchmark and target-for-improvement areas were identified and described. This article provides a guide for evidence-informed decision-making and policy design to improve the continuity of MH care after inpatient discharges. The findings show that it is crucial to design interventions and strategies (i) considering the characteristics of the area to be improved and (ii) assessing the potential impact on the performance of the global MH care ecosystem. For 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., Competing Interests: The authors have declared that no competing interests exist.

Rehabilitation services have a key role in ensuring integrated and comprehensive mental health (MH) care in the community for people suffering from long-term and severe mental disorders. MH-supported accommodation services aim to promote service users' autonomy and independence. Given the complexity associated with MH-supported accommodation services in England, a comparative evaluation of critical performance indicators, including service provision and quality of care, seems to be necessary in designing evidence-informed policies. This study aims to explore the influence of service quality indicators on the performance of MH-supported accommodation services in England. The analysed sample includes supported accommodation services from 14 nationally representative local authorities in England from the QuEST study grouped by three main types of care: residential care homes (divided into two subgroups: move-on and non-move-on oriented), supported housing and floating outreach. EDeS-MH (efficient decision support-mental health) was used to assess the performance indicators for the selected services by combining a Monte Carlo simulation engine, data envelopment analysis and a fuzzy inference engine for integrating expert knowledge. Depending on the type of care, six/seven quality domains were sequentially included after a baseline scenario (only technical) was analysed. Relative technical efficiency scores for the baseline scenarios revealed high performance in all the selected supported accommodation services, but the statistical variability was high. Quality domains significantly improved performance in every type of care. The inclusion of quality indicators has a positive impact on the global performance of each type of care. Remaining at the corresponding services more than expected for two years has a negative impact on performance. These findings can be considered from a planning perspective to facilitate the design of pathways of care with more realistic expectations about gaining autonomy in two years., Competing Interests: The authors have declared that no competing interests exist.

Background : International clinical practice guidelines highlight the importance of improving the psychological and mental health care of patients with Type 1 diabetes mellitus (T1DM). Psychological interventions can promote adherence to the demands of diabetes self-care, promoting high quality of life and wellbeing. Methods : A systematic review was carried out to determine whether psychological treatments with a specific focus on emotional management have an impact on glycemic control and variables related to psychological adjustment. Comprehensive literature searches of PubMed Medline, Psycinfo, Cochrane Database, Web of Science, and Open Grey Repository databases were conducted, from inception to November 2019 and were last updated in December 2020. Finally, eight articles met inclusion criteria. Results : Results showed that the management of emotions was effective in improving the psychological adjustment of patients with T1DM when carried out by psychologists. However, the evidence regarding the improvement of glycemic control was not entirely clear. When comparing adolescent and adult populations, findings yielded slightly better results in adolescents. Conclusions : More rigorous studies are needed to establish what emotional interventions might increase glycemic control in this population.

This analysis identifies the significant problem of ambiguity, variation and vagueness in relation to the intervention described as 'psychotherapy'. Its purpose is to raise international awareness of this problem and alternative solutions.

Objective: To evaluate the impact of the Plan for the promotion of personal autonomy and prevention of disability in Andalusia (2016-2020) in 13 public administrations during the first year of its implementation; and to analyse the usability and feasibility of the impact assessment ladder used., Method: The Plan addresses the promotion of personal autonomy and the prevention of disabilities and dependencies through a multisectoral approach. It is structured in strands or lines of work, objectives and actions that have been assessed through the Adoption Impact Ladder (AIL). The analysis of the face validity, feasibility and inter-rater reliability of the impact assessment ladder was carried out in 30 actions of the Plan that were rated by 20 experts from the 13 ministries and public agencies involved in the Plan, and an external rater., Results: 176 actions and programmes were launched in 2017. Of these, 67.2% were implemented during the first year. Only one of the 16 objectives had no action initiated during the first year. Moreover, 7 out of 15 objectives implemented were fully multisectoral involving more than three Regional Ministries. The face validity, feasibility and inter-rater reliability of the AIL were good (κ: 0.72)., Conclusions: This Plan has provided a novel framework to coordinate a broad range of proposed policies and actions within the public administration of Andalusia. For the first time, a multisectoral impact analysis has been conducted providing an effective guide for monitoring, planning and setting public priorities in health, social services, ageing and disabilities., (Copyright © 2019 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: Evidence-informed planning and interpretation of research results both require standardised description of local care delivery context. Such context analysis descriptions should be comparable across regions and countries to allow benchmarking and organizational learning, and for research findings to be interpreted in context. The European Service Mapping Schedule (ESMS) is a classification of adult mental health services that was later adapted for the assessment of health and social systems research (Description and Evaluation of Services and DirectoriEs - DESDE). The aim of the study was to review the diffusion and use of the ESMS/DESDE system in health and social care and its impact in health policy and decision-making., Method: We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (1997-2018)., Results: Out of 155 papers mentioning ESMS/DESDE, 71 have used it for service research and planning. The classification has been translated into eight languages and has been used by seven international research networks. Since 2000, it has originated 11 instruments for health system research with extensive analysis of their metric properties. The ESMS/DESDE coding system has been used in 585 catchment areas in 34 countries for description of services delivery at local, regional and national levels., Conclusions: The ESMS/DESDE system provides a common terminology, a classification of care services, and a set of tools allowing a variety of aims to be addressed in healthcare and health systems research. It facilitates comparisons across and within countries for evidence-informed planning., (Copyright © 2019 Elsevier Masson SAS. All rights reserved.)

The current prevalence of mental disorders demands improved ways of the management and planning of mental health (MH) services. Relative technical efficiency (RTE) is an appropriate and robust indicator to support decision-making in health care, but it has not been applied significantly in MH. This article systematically reviews the empirical background of RTE in MH services following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Finally, 13 studies were included, and the findings provide new standard classifications of RTE variables, efficiency determinants and strategies to improve MH management and planning.

Aims: There is a need of more quantitative standardised data to compare local Mental Health Systems (MHSs) across international jurisdictions. Problems related to terminological variability and commensurability in the evaluation of services hamper like-with-like comparisons and hinder the development of work in this area. This study was aimed to provide standard assessment and comparison of MHS in selected local areas in Europe, contributing to a better understanding of MHS and related allocation of resources at local level and to lessen the scarcity in standard service comparison in Europe. This study is part of the Seventh Framework programme REFINEMENT (Research on Financing Systems' Effect on the Quality of Mental Health Care in Europe) project., Methods: A total of eight study areas from European countries with different systems of care (Austria, England, Finland, France, Italy, Norway, Romania, Spain) were analysed using a standard open-access classification system (Description and Evaluation of Services for Long Term Care in Europe, DESDE-LTC). All publicly funded services universally accessible to adults (≥18 years) with a psychiatric disorder were coded. Care availability, diversity and capacity were compared across these eight local MHS., Results: The comparison of MHS revealed more community-oriented delivery systems in the areas of England (Hampshire) and Southern European countries (Verona - Italy and Girona - Spain). Community-oriented systems with a higher proportion of hospital care were identified in Austria (Industrieviertel) and Scandinavian countries (Sør-Trøndelag in Norway and Helsinki-Uusimaa in Finland), while Loiret (France) was considered as a predominantly hospital-based system. The MHS in Suceava (Romania) was still in transition to community care., Conclusions: There is a significant variation in care availability and capacity across MHS of local areas in Europe. This information is relevant for understanding the process of implementation of community-oriented mental health care in local areas. Standard comparison of care provision in local areas is important for context analysis and policy planning.

Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning. The Efficient Decision Support-Mental Health (EDeS-MH) is a DSS that integrates an operational model to assess the Relative Technical Efficiency (RTE) of small health areas, a Monte-Carlo simulation engine (that carries out the Monte-Carlo simulation technique), a fuzzy inference engine prototype and basic statistics as well as system stability and entropy indicators. The stability indicator assesses the sensitivity of the model results due to data variations (derived from structural changes). The entropy indicator assesses the inner uncertainty of the results. RTE is multidimensional, that is, it was evaluated by using 15 variable combinations called scenarios. Each scenario, designed by experts in MH planning, has its own meaning based on different types of care. Three management interventions on the MH system in Bizkaia were analysed using key performance indicators of the service availability, placement capacity in day care, health care workforce capacity, and resource utilisation data of hospital and community care. The potential impact of these interventions has been assessed at both local and system levels. The system reacts positively to the proposals by a slight increase in its efficiency and stability (and its corresponding decrease in the entropy). However, depending on the analysed scenario, RTE, stability and entropy statistics can have a positive, neutral or negative behaviour. Using this information, decision makers can design new specific interventions/policies. EDeS-MH has been tested and face-validated in a real management situation in the Bizkaia MH system., Competing Interests: The authors have declared that no competing interests exist.

Mental health services and systems (MHSS) are characterized by their complexity. Causal modelling is a tool for decision-making based on identifying critical variables and their causal relationships. In the last two decades, great efforts have been made to provide integrated and balanced mental health care, but there is no a clear systematization of causal links among MHSS variables. This study aims to review the empirical background of causal modelling applications (Bayesian networks and structural equation modelling) for MHSS management. The study followed the PRISMA guidelines (PROSPERO: CRD42018102518). The quality of the studies was assessed by using a new checklist based on MHSS structure, target population, resources, outcomes, and methodology. Seven out of 1847 studies fulfilled the inclusion criteria. After the review, the selected papers showed very different objectives and subjects of study. This finding seems to indicate that causal modelling has potential to be relevant for decision-making. The main findings provided information about the complexity of the analyzed systems, distinguishing whether they analyzed a single MHSS or a group of MHSSs. The discriminative power of the checklist for quality assessment was evaluated, with positive results. This review identified relevant strategies for policy-making. Causal modelling can be used for better understanding the MHSS behavior, identifying service performance factors, and improving evidence-informed policy-making., Competing Interests: The authors declare no conflict of interest.

Aims: Although many mental health care systems provide care interventions that are not related to direct health care, little is known about the interfaces between the latter and core health care. 'Core health care' refers to services whose explicit aim is direct clinical treatment which is usually provided by health professionals, i.e., physicians, nurses, psychologists. 'Other care' is typically provided by other staff and includes accommodation, training, promotion of independence, employment support and social skills. In such a definition, 'other care' does not necessarily mean being funded or governed differently. The aims of the study were: (1) using a standard classification system (Description and Evaluation of Services and Directories in Europe for Long Term Care, DESDE-LTC) to identify 'core health' and 'other care' services provided to adults with mental health problems; and (2) to investigate the balance of care by analysing the types and characteristics of core health and other care services., Methods: The study was conducted in eight selected local areas in eight European countries with different mental health systems. All publicly funded mental health services, regardless of the funding agency, for people over 18 years old were identified and coded. The availability, capacity and the workforce of the local mental health services were described using their functional main activity or 'Main Types of Care' (MTC) as the standard for international comparison, following the DESDE-LTC system., Results: In these European study areas, 822 MTCs were identified as providing core health care and 448 provided other types of care. Even though one-third of mental health services in the selected study areas provided interventions that were coded as 'other care', significant variation was found in the typology and characteristics of these services across the eight study areas., Conclusions: The functional distinction between core health and other care overcomes the traditional division between 'health' and 'social' sectors based on governance and funding. The overall balance between core health and other care services varied significantly across the European sites. Mental health systems cannot be understood or planned without taking into account the availability and capacity of all services specifically available for this target population, including those outside the health sector.

In recent years a growing body of research is focused on the relationships between emotions and health. When it comes to diabetes, findings suggest that distress might play a key role in the acquisition and maintenance of health habits associated with diabetic management. This report describes two studies examining the roles of emotional abilities in diabetic management from two different conceptual points of view using two culturally different samples. In study 1, we examined the relationship between emotional intelligence and HbA1c levels in a sample of eighty-five patients with type 1 diabetes mellitus (DM1) in Israel. In study 2, we examined the relationship between specific emotional regulation strategies and HbA1c in sixty-seven adolescents with DM1, while examining the mediating role of distress in this association. The results showed a negative association between emotional intelligence and HbA1c levels, even after controlling for potential intervening factors. We found that the relationship between difficulties in emotion regulation and HbA1c seemed to be mediated by diabetes-related distress. These findings may aid in the design of psychological models for future research as well as interventions aimed at improving emotional abilities in people with DM1., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Mental health services (MHS) have gone through vast changes during the last decades, shifting from hospital to community-based care. Developing the optimal balance and use of resources requires standard comparisons of mental health care systems across countries. This study aimed to compare the structure, personnel resource allocation, and the productivity of the MHS in two benchmark health districts in a Nordic welfare state and a southern European, family-centered country. The study is part of the REFINEMENT (Research on Financing Systems' Effect on the Quality of Mental Health Care) project. The study areas were the Helsinki and Uusimaa region in Finland and the Girona region in Spain. The MHS were mapped by using the DESDE-LTC (Description and Evaluation of Services and Directories for Long Term Care) tool. There were 6.7 times more personnel resources in the MHS in Helsinki and Uusimaa than in Girona. The resource allocation was more residential-service-oriented in Helsinki and Uusimaa. The difference in mental health personnel resources is not explained by the respective differences in the need for MHS among the population. It is important to make a standard comparison of the MHS for supporting policymaking and to ensure equal access to care across European countries., Competing Interests: The authors declare no conflicts of interest.

Introduction: Mental health care is a critical area to better understand integrated care and to pilot the different components of the integrated care model. However, there is an urgent need for better tools to compare and understand the context of integrated mental health care in Europe., Method: The REMAST tool (REFINEMENT MApping Services Tool) combines a series of standardised health service research instruments and geographical information systems (GIS) to develop local atlases of mental health care from the perspective of horizontal and vertical integrated care. It contains five main sections: (a) Population Data; (b) the Verona Socio-economic Status (SES) Index; (c) the Mental Health System Checklist; (d) the Mental Health Services Inventory using the DESDE-LTC instrument; and (e) Geographical Data., Expected Results: The REMAST tool facilitates context analysis in mental health by providing the comparative rates of mental health service provision according to the availability of main types of care; care placement capacity; workforce capacity; and geographical accessibility to services in the local areas in eight study areas in Austria, England, Finland, France, Italy, Norway, Romania and Spain., Discussion: The outcomes of this project will facilitate cooperative work and knowledge transfer on mental health care to the different agencies involved in mental health planning and provision. This project would improve the information to users and society on the available resources for mental health care and system thinking at the local level by the different stakeholders. The techniques used in this project and the knowledge generated could eventually be transferred to the mapping of other fields of integrated care.

Introduction: International studies show that both the pattern of health and the healthcare provided for persons with intellectual disability (ID) and the general population are different., Aims: To obtain data about the state of health of persons with ID and to compare them with data about the general population., Patients and Methods: The P15 set of health indicators was used in a sample of 111 subjects with ID. The health data that were found were compared according to the subjects' type of residence and the 2006 National Health Survey was used to compare these data with those for the general population. RESULTS; The sample with ID presented 25 times more cases of epilepsy and twice as many cases of obesity. Twenty per cent presented pain in the mouth and the presence of sensory and mobility problems, as well as psychosis, was high. We also found, however, a low presence of pathologies like diabetes, hypertension, osteoarthritis and osteoporosis. They also displayed a lower rate of participation in prevention and health promotion programmes, a higher number of hospital admissions and a lower usage of emergency services., Conclusions: The pattern of health of persons with ID differs from that of the general population, and they use healthcare services differently. It is important to develop programmes of health promotion and professional training that are specifically designed to attend to the needs of persons with ID. Likewise, it is also necessary to implement health surveys that include data about this population.