RESUMO
OBJECTIVES: This paper compares the evolution of the psychosocial sector in two Australian regions pre and post introduction of the National Disability Insurance Scheme - a major reform to the financing, planning and provision of disability services in Australia, intended to create greater competition and efficiency in the market, and more choice for service users. METHODS: We used a standardised service classification instrument based on a health ecosystems approach to assess service availability and diversity of psychosocial services provided by non-government organisations in two Primary Health Network regions. RESULTS: We identified very different evolutionary pathways in the two regions. Service availability increased in Western Sydney but decreased in the Australian Capital Territory. The diversity of services available did not increase in either Primary Health Network 4 years after the reform. Many services were experiencing ongoing funding uncertainty. CONCLUSION: Assumptions of increased efficiency through organisational scaling up, and a greater diversity in range of service availability were not borne out. IMPLICATIONS: This study shows the urgent need for evaluation of the effects of the NDIS on the provision of psychosocial care in Australia. Four years after the implementation of the NDIS at vast expense key objectives not been met for consumers or for the system as a whole, and an environment of uncertainty has been created for providers. It demonstrates the importance of standardised service mapping to monitor the effects of major reforms on mental health care as well as the need for a focus at the local level.
Assuntos
Pessoas com Deficiência , Seguro por Deficiência , Reabilitação Psiquiátrica , Humanos , Austrália , EcossistemaRESUMO
BACKGROUND: Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. METHODS: A scoping review was conducted based on Arksey and O'Malley's framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. RESULTS: Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. CONCLUSIONS: Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research.
Assuntos
Demência , Sistemas de Informação Geográfica , Demência/diagnóstico , Demência/epidemiologia , Demência/terapia , Humanos , Saúde Pública , Fatores de Risco , Análise EspacialRESUMO
BACKGROUND: DESDE-LTC (Description and Evaluation of Services and DirectoriEs for Long-Term Care) is an international classification system that allows standardized coding and comparisons between different territories and care sectors, such as health and social care, in defined geographic areas. We adapted DESDE-LTC into a computer tool (DESDE-AND) for compiling a directory of care services in Andalucia, Spain. OBJECTIVE: The aim of this study was to evaluate the maturity of DESDE-AND. A secondary objective of this study is to show the practicality of a new combined set of standard evaluation tools for measuring the maturity of health technology products. METHODS: A system for semiautomated coding of service provision has been co-designed. A panel of 23 domain experts and a group of 68 end users participated in its maturity assessment that included its technology readiness level (TRL), usability, validity, adoption (Adoption Impact Ladder [AIL]), and overall degree of maturity [implementation maturity model [IMM]). We piloted the prototype in an urban environment (Seville, Spain). RESULTS: The prototype was demonstrated in an operational environment (TRL 7). Sixty-eight different care services were coded, generating fact sheets for each service and its geolocation map. The observed agreement was 90%, with moderate reliability. The tool was partially adopted by the regional government of Andalucia (Spain), reaching a level 5 in adoption (AIL) and a level 4 in maturity (IMM) and is ready for full implementation. CONCLUSIONS: DESDE-AND is a usable and manageable system for coding and compiling service directories and it can be used as a core module of decision support systems to guide planning in complex cross-sectoral areas such as combined social and health care.
Assuntos
Serviços de Saúde Mental , Atenção à Saúde , Humanos , Reprodutibilidade dos Testes , Espanha , TecnologiaRESUMO
OBJECTIVE: Mental health (MH) care in remote areas is frequently scarce and fragmented and difficult to compare objectively with other areas even in the same country. This study aimed to analyze the adult MH service provision in 3 remote areas of Organization for Economic Cooperation and Development countries in the world. METHODS: We used an internationally agreed set of systems indicators, terminology, and classification of services (Description and Evaluation of Services and DirectoriEs for Long Term Care). This instrument provided a standard description of MH care provision in the Kimberley region (Australia), Nunavik (Canada), and Lapland (Finland), areas characterized by an extremely low population density and high relative rates of Indigenous peoples. RESULTS: All areas showed high rates of deprivation within their national contexts. MH services were mostly provided by the public sector supplemented by nonprofit organizations. This study found a higher provision per inhabitant of community residential care in Nunavik in relation to the other areas; higher provision of community outreach services in the Kimberley; and a lack of day services except in Lapland. Specific cultural-based services for the Indigenous population were identified only in the Kimberley. MH care in Lapland was self-sufficient, and its care pattern was similar to other Finnish areas, while the Kimberley and Nunavik differed from the standard pattern of care in their respective countries and relied partly on services located outside their boundaries for treating severe cases. CONCLUSION: We found common challenges in these remote areas but a huge diversity in the patterns of MH care. The implementation of care interventions should be locally tailored considering both the environmental characteristics and the existing pattern of service provision.
Assuntos
Atenção à Saúde/organização & administração , Serviços de Saúde Mental , Saúde Mental , Serviços de Saúde Rural , Adulto , Austrália , Canadá , Finlândia , Acessibilidade aos Serviços de Saúde , Humanos , População RuralRESUMO
This research aims to analyse the association between socioeconomic status (SES) and self-rated health (SRH) through its relationship with lifestyle factors, as well as examining these effects stratified by gender and age groups. A cross-sectional study was performed with a representative sample from Andalusia (Southern Spain) composed of 1200 adults. The study analysed several variables related to lifestyle (healthy diet, physical activity and tobacco and alcohol consumption) and SES (education and income), along with SRH. The joint effects of SRH and the set of variables were studied by using a hierarchical linear regression analysis. Later a path analysis was carried out to test the impact of gender and age group on these associations. The results show that a better SRH was reported by men with lower age, higher SES, more frequent physical activity, healthy diet, and lower alcohol use compared with their counterparts. Income was directly related to better SRH through more physical activity, a healthier diet and less alcohol consumption. SES had a greater positive relationship with women's health than with men's health. In addition, a greater explained variance in SRH was observed in older women based on SES and lifestyle factors. Our findings provide some cross-sectional evidence of the social inequalities in health mediated through lifestyle factors, with gender and age differences. Therefore, socioeconomic inequalities should be addressed by public and social policies considering the gender and age gaps.
Assuntos
Disparidades em Assistência à Saúde , Fatores Socioeconômicos , Adulto , Idoso , Estudos Transversais , Escolaridade , Exercício Físico , Feminino , Nível de Saúde , Humanos , Renda , Estilo de Vida , Masculino , Pessoa de Meia-Idade , Classe Social , Espanha , Saúde da MulherRESUMO
OBJECTIVE: Access to services and workforce shortages are major challenges in rural areas worldwide. In order to improve access to mental health care, it is imperative to understand what services are available, what their capacity is and where existing funds might be spent to increase availability and accessibility. The aim of this study is to investigate mental health service provision in a selection of rural and remote areas across Australia by analysing service availability, placement capacity and diversity. METHOD: This research studies the health regions of Western New South Wales and Country Western Australia and their nine health areas. Service provision was analysed using the DESDE-LTC system for long-term care service description and classification that allows international comparison. Rates per 100,000 inhabitants were calculated to compare the care availability and placement capacity for children and adolescents, adults and older adults. RESULTS: The lowest diversity was found in northern Western Australia. Overall, Western New South Wales had a higher availability of non-acute outpatient services for adults, but hardly any acute outpatient services. In Country Western Australia, substantially fewer non-acute outpatient services were found, while acute services were much more common. Acute inpatient care services were more common in Western New South Wales, while sub-acute inpatient services and non-acute day care services were only found in Western New South Wales. CONCLUSION: The number and span of services in the two regions showed discrepancies both within and between regions, raising issues on the equity of access to mental health care in Australia. The standard description of the local pattern of rural mental health care and its comparison across jurisdictions is critical for evidence-informed policy planning and resource allocation.
Assuntos
Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Mão de Obra em Saúde/estatística & dados numéricos , Serviços de Saúde Mental/estatística & dados numéricos , Avaliação das Necessidades/estatística & dados numéricos , População Rural/estatística & dados numéricos , Diversidade Cultural , Humanos , New South Wales , Austrália OcidentalRESUMO
BACKGROUND: Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning. METHODS: We combine an interactive visual data mining approach, the self-organising map network (SOMNet), with an operational expert knowledge approach, expert-based collaborative analysis (EbCA), to develop a DSS model. The SOMNet was applied to the analysis of healthcare patterns and indicators of three different regional mental health systems in Spain, comprising 106 small catchment areas and providing healthcare for over 9 million inhabitants. Based on the EbCA, the domain experts in the development team guided and evaluated the analytical processes and results. Another group of 13 domain experts in mental health systems planning and research evaluated the model based on the analytical information of the SOMNet approach for processing information and discovering knowledge in a real-world context. Through the evaluation, the domain experts assessed the feasibility and technology readiness level (TRL) of the DSS model. RESULTS: The SOMNet, combined with the EbCA, effectively processed evidence-based information when analysing system outliers, explaining global and local patterns, and refining key performance indicators with their analytical interpretations. The evaluation results showed that the DSS model was feasible by the domain experts and reached level 7 of the TRL (system prototype demonstration in operational environment). CONCLUSIONS: This study supports the benefits of combining health systems engineering (SOMNet) and expert knowledge (EbCA) to analyse the complexity of health systems research. The use of the SOMNet approach contributes to the demonstration of DSS for mental health planning in practice.
Assuntos
Tomada de Decisões , Técnicas de Apoio para a Decisão , Planejamento em Saúde/métodos , Serviços de Saúde Mental , Algoritmos , Prática Clínica Baseada em Evidências , Humanos , Conhecimento , Saúde Mental , Redes Neurais de Computação , Políticas , Regionalização da Saúde , Espanha , Análise de Sistemas , TecnologiaRESUMO
OBJECTIVE: To describe the availability of local mental health (MH) services in small MH catchment areas in Central Chile, using a bottom-up approach. METHODS: MH services of 19 small MH catchment areas in five health districts of Central Chile that provide health care to more than 4 million inhabitants were assessed using DESDE-LTC (Description and Evaluation of Services and Directories in Europe for Long-Term Care), a tool for standardized description and classification of LTC health services, in a study conducted in 2012 ("DESDE-Chile") designed to complement other studies conducted in 2004 and 2012 at the national and regional level using the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS). Key informants from national, regional, and local health authorities were contacted to compile a comprehensive list of MH services or facilities (health, social services, education, employment, and housing). The analysis of local care provision covered three criteria-service availability, placement capacity, and workforce capacity. RESULTS: The study detected disparities in all three criteria (availability and placement and workforce capacity) across the five health districts, between urban and rural areas, and between neighboring urban areas. Analysis of service availability revealed differences in the weight of residential services versus day and outpatient care. The Talcahuano area could be considered a benchmark of MH care in Central Chile, based on its service provision patterns, and the criteria of the community care model. The list of MH services identified in this study differed from the one generated in the 2012 WHO-AIMS study. CONCLUSIONS: This survey of local MH service provision in small catchment areas using the DESDE-LTC tool provided MH service provision data that complemented information collected in other studies conducted at the national/regional level using the WHO-AIMS tool. The bottom-up approach applied in this study would also be useful for the assessment of equity and accessibility and local planning.
RESUMO
OBJECTIVES:: Concerns raised about the appropriateness of the National Disability Insurance Scheme (NDIS) in Australia for people with mental illness have not been given full weight due to a perceived lack of available evidence. In the Australian Capital Territory (ACT), one of the pilot sites of the Scheme, mental health care providers across all relevant sectors who were interviewed for a local Atlas of Mental Health Care described the impact of the scheme on their service provision. METHODS:: All mental health care providers from every sector in the ACT were contacted. The participation rate was 92%. We used the Description and Evaluation of Services and Directories for Long Term Care to assess all service provision at the local level. RESULTS:: Around one-third of services interviewed lacked funding stability for longer than 12 months. Nine of the 12 services who commented on the impact of the NDIS expressed deep concern over problems in planning and other issues. CONCLUSIONS:: The transition to NDIS has had a major impact on ACT service providers. The ACT was a best-case scenario as it was one of the NDIS pilot sites.
Assuntos
Pessoal de Saúde/organização & administração , Seguro por Deficiência/organização & administração , Transtornos Mentais/reabilitação , Serviços de Saúde Mental/organização & administração , Pessoas Mentalmente Doentes , Programas Nacionais de Saúde/organização & administração , Território da Capital Australiana , Pessoal de Saúde/economia , Humanos , Seguro por Deficiência/economia , Serviços de Saúde Mental/economia , Programas Nacionais de Saúde/economiaRESUMO
BACKGROUND: The hypothetical relationship between economic recession and the increase in suicides in Spain is subject to various arguments. In addition to the inherent complexity of capturing and explaining the underlining mechanisms that could describe this causal link, different points of contention have been be identified. The period of this association and its possible starting points, the socioeconomic determinants that may explain the variation in suicide rate, and the data sources available are the main focus of controversy. The present study aims to identify the phases of association between different periods of economic recession and suicide rates, and compare the effect of different social determinants of health that have been mentioned in previous studies. METHODS: We have used interrupted time series analyses to assess the impact of economic recession on national rates of suicide mortality provided by the Spanish Statistical Office (1980-2014). In an attempt to consider the factors that have affected the study of suicide in Spain, different data sources/periods, predictors, and regions in Spain were analysed. RESULTS: The analysis revealed a positive and significant relationship between the Great Recession and suicide rates during the second period of economic recession (2011-2014), while appeared to decrease during the first recession period. However, the first decreasing trend was not statistically significant in the global analysis of the evolution of monthly suicide rates for the entire country. Both unemployment and per capita GDP were positively related to suicide trends. Finally, the regional analysis demonstrates a similar pattern in different Spanish areas. CONCLUSION: Although previous studies have mentioned the double-dip in the suicide rate associated with the corresponding period of double recession, our study only identify a positive relationship during the second recession period. These results points out that the major impact of economic problems might have had a delayed effect due to initial protection policies.
Assuntos
Recessão Econômica , Suicídio/estatística & dados numéricos , Suicídio/tendências , Coleta de Dados/normas , Dissidências e Disputas , Feminino , Humanos , Masculino , Fatores Socioeconômicos , EspanhaRESUMO
BACKGROUND: The harmonization of European health systems brings with it a need for tools to allow the standardized collection of information about medical care. A common coding system and standards for the description of services are needed to allow local data to be incorporated into evidence-informed policy, and to permit equity and mobility to be assessed. The aim of this project has been to design such a classification and a related tool for the coding of services for Long Term Care (DESDE-LTC), based on the European Service Mapping Schedule (ESMS). METHODS: The development of DESDE-LTC followed an iterative process using nominal groups in 6 European countries. 54 researchers and stakeholders in health and social services contributed to this process. In order to classify services, we use the minimal organization unit or "Basic Stable Input of Care" (BSIC), coded by its principal function or "Main Type of Care" (MTC). The evaluation of the tool included an analysis of feasibility, consistency, ontology, inter-rater reliability, Boolean Factor Analysis, and a preliminary impact analysis (screening, scoping and appraisal). RESULTS: DESDE-LTC includes an alpha-numerical coding system, a glossary and an assessment instrument for mapping and counting LTC. It shows high feasibility, consistency, inter-rater reliability and face, content and construct validity. DESDE-LTC is ontologically consistent. It is regarded by experts as useful and relevant for evidence-informed decision making. CONCLUSION: DESDE-LTC contributes to establishing a common terminology, taxonomy and coding of LTC services in a European context, and a standard procedure for data collection and international comparison.
Assuntos
Codificação Clínica/normas , Assistência de Longa Duração/organização & administração , Bases de Dados Factuais , Prestação Integrada de Cuidados de Saúde , Europa (Continente) , Humanos , Assistência de Longa Duração/classificação , Assistência de Longa Duração/normasRESUMO
BACKGROUND: Intellectual developmental disorder or Intellectual disability (ID) is a prevalent condition with a high impact along the life-span particularly when associated to other mental disorders (MD). SPECIFIC AIM: To estimate the unmet needs and to design a knowledge to action plan to reduce the care gap in ID-MD in Spain. METHOD: We followed a 5-step `maxi' impact assessment and a mixed qualitative/quantitative design including expert panels, secondary analysis of databases and a prospective survey in the 17 regions in Spain. Schizophrenia was used as comparator due to similar prevalence rates and burden. RESULTS: Persons with ID-MD had ten times less outpatient contacts and hospital admissions than patients with schizophrenia. The outpatient case load was 2.31% in ID and 14.6% in schizophrenia. ID had the lowest hospitalization rate amongst all mental disorders but the highest length of stay. The expert panel estimated that half of persons with ID-MD are not adequately assessed and 95% do not receive the required care in Spain. Basic care needs include 6.5 beds and an ID-MD outpatient service per 1 million population. At least 134 specialized psychiatrists and psychologists and 277 beds are needed to reach the minimum standards in Spain. CONCLUSION: This study quantifies the ID-MD care gap in Spain and the basic specialized services needed. In spite of the societal and health implications of ID-MD the knowledge-to-action plan had a modest impact limited at the regions where ID-MD programmes were already implemented. IMPLICATIONS FOR HEALTH POLICY: Specific priority setting on ID-MH should be incorporated to mental health strategy at the Ministry of Health within a broader health and ID plan. National and regional policies should incorporate an integrative care approach through the life cycle. The development of excellence centers on ID-MD and a national observatory on this topic should be encouraged.
Assuntos
Deficiência Intelectual/epidemiologia , Deficiência Intelectual/terapia , Transtornos Mentais/epidemiologia , Transtornos Mentais/terapia , Serviços de Saúde Mental/estatística & dados numéricos , Serviços de Saúde/estatística & dados numéricos , Disparidades em Assistência à Saúde , Humanos , Deficiência Intelectual/mortalidade , Tempo de Internação/estatística & dados numéricos , Expectativa de Vida , Transtornos Mentais/mortalidade , Prevalência , Índice de Gravidade de Doença , Espanha/epidemiologiaRESUMO
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.
Assuntos
Serviços de Saúde Mental , Saúde Mental , Humanos , Austrália , Ecossistema , PolíticasRESUMO
BACKGROUND: This study evaluates and describes the pattern of services provided for people living with multiple sclerosis (MS) in a local area as a starting point for a more global assessment. METHODS: A health care ecosystem approach has been followed using an internationally standardized service classification instrument-the Description and Evaluation of Services and DirectoriEs for Long Term Care (DESDE-LTC)-to identify and describe all services providing care to people with MS in the Australian Capital Territory, Australia. Available services were classified according to the target population into those specifically dedicated to people living with MS and those providing general neurologic services, both public and private, and across both social and health sectors. RESULTS: A limited range of services was available. There were no local facilities providing or coordinating multidisciplinary integrated care specific to people with MS. Subspecialty services specific to MS were limited in number (6 of the 28 services), and use of specialist services provided in neighboring states was frequently reported. Overall, very few services were provided outside the core health sector (4%). CONCLUSIONS: The provision of care to people living with MS in the Australian Capital Territory is fragmented and relies heavily on generic neurology services in the public and private sectors. More widespread use of the DESDE-LTC as a standardized method of service classification in MS will facilitate comparison with other local areas, allow monitoring of changes over time, and permit comparison with services provided for other health conditions (eg, dementia, mental disorders).
RESUMO
Introduction: Mental healthcare systems are primarily designed to urban populations. However, the specific characteristics of rural areas require specific strategies, resource allocation, and indicators which fit their local conditions. This planning process requires comparison with other rural areas. This demonstration study aimed to describe and compare specialized rural adult mental health services in Australia, Norway, and Spain; and to demonstrate the readiness of the healthcare ecosystem approach and the DESDE-LTC mapping tool (Description and Evaluation of Services and Directories of Long Term Care) for comparing rural care between countries and across areas. Methods: The study described and classified the services using the DESDE-LTC. The analyses included context analysis, care availability, placement capacity, balance of care, and diversity of care. Additionally, readiness (Technology Readiness Levels - TRL) and impact analyses (Adoption Impact Ladder - AIL) were also assessed by two independent raters. Results: The findings demonstrated the usability of the healthcare ecosystem approach and the DESDE-LTC to map and identify differences and similarities in the pattern of care of highly divergent rural areas. Day care had a greater weight in the European pattern of care, while it was replaced by social outpatient care in Australian areas. In contrast, care coordination was more common in Australia, pointing to a more fragmented system that requires navigation services. The share between hospital and community residential care showed no differences between the two regions, but there were differences between catchment areas. The healthcare ecosystem approach showed a TRL 8 (the tool has been demonstrated in a real-world environment and it is ready for release and general use) and an AIL of 5 (the target public agencies provided resources for its completion). Two experts evaluated the readiness of the use of DESDE-LTC in their respective regional studies. All of them were classified using the TRL. Discussion: In conclusion, this study strongly supports gathering data on the provision of care in rural areas using standardized methods to inform rural service planning. It provides information on context and service availability, capacity and balance of care that may improve, directly or through subsequent analyses, the management and planning of services in rural areas.
RESUMO
BACKGROUND: Spatial analysis is a relevant set of tools for studying the geographical distribution of diseases, although its methods and techniques for analysis may yield very different results. A new hybrid approach has been applied to the spatial analysis of treated prevalence of depression in Catalonia (Spain) according to the following descriptive hypotheses: 1) spatial clusters of treated prevalence of depression (hot and cold spots) exist and, 2) these clusters are related to the administrative divisions of mental health care (catchment areas) in this region. METHODS: In this ecological study, morbidity data per municipality have been extracted from the regional outpatient mental health database (CMBD-SMA) for the year 2009. The second level of analysis mapped small mental health catchment areas or groups of municipalities covered by a single mental health community centre. Spatial analysis has been performed using a Multi-Objective Evolutionary Algorithm (MOEA) which identified geographical clusters (hot spots and cold spots) of depression through the optimization of its treated prevalence. Catchment areas, where hot and cold spots are located, have been described by four domains: urbanicity, availability, accessibility and adequacy of provision of mental health care. RESULTS: MOEA has identified 6 hot spots and 4 cold spots of depression in Catalonia. Our results show a clear spatial pattern where one cold spot contributed to define the exact location, shape and borders of three hot spots. Analysing the corresponding domain values for the identified hot and cold spots no common pattern has been detected. CONCLUSIONS: MOEA has effectively identified hot/cold spots of depression in Catalonia. However these hot/cold spots comprised municipalities from different catchment areas and we could not relate them to the administrative distribution of mental care in the region. By combining the analysis of hot/cold spots, a better statistical and operational-based visual representation of the geographical distribution is obtained. This technology may be incorporated into Decision Support Systems to enhance local evidence-informed policy in health system research.
Assuntos
Depressão/epidemiologia , Mapeamento Geográfico , Algoritmos , Depressão/terapia , Geografia Médica , Humanos , Espanha/epidemiologia , População UrbanaRESUMO
Background: Qatari health planning in the last decade aimed to make the transition from the traditional hospital-based psychiatric care to a community-based care, building an integrated and comprehensive mental health system. The objective of this study was to explore the mental health service provision in Qatar in 2018 and 2022. This time span coincided with two mental health plans (2013-2018 and 2019-2022) and one health plan (2018-2022). Methods: This study followed a healthcare ecosystem approach, including context analysis and the standard description and classification of mental health services. Service provision was studied applying DESDE-LTC system (Description and Evaluation of Services and DirectoriEs-Long Term Care), an internationally validated methodology to assess and describe mental health services. Service data were analyzed along with sociodemographic indicators from public statistics to know the care context. Results: The availability of specialized mental health services increased for adults, although it remained the same for other age groups. The diversity of care and the weight of health-related care over social-related care also remained quite similar. It was noteworthy the development of new services for young adults, migrant workers, and female populations. Conclusion: This was the first time that this service research methodology has been applied in a Middle East country to study its mental healthcare pattern. The analysis of the mental healthcare pattern in the study time period showed the continued progress toward community-based care in Qatar in the framework of three health plans and despite the unexpected COVID-19 world pandemic.
RESUMO
Anxiety disorders are the most prevalent psychological disorders during emerging adulthood. Some consistent gender differences have been reported in anxiety with women suffering more anxiety than men, which has detrimental consequences in most life spheres in the youth and later life stages. The understanding of the development of anxiety in emerging adulthood requires a developmental perspective. The Developmental Assets Theory was postulated to describe the individual and the contextual resources which may foster positive youth development and mental health. The present study aims to analyze to what extent the gender differences in anxiety may be partly explained by gender differences in developmental assets. For this purpose, a cross-sectional study was conducted in which a sample of 1,044 youths (75.5% women; age range = 18-28; M age = 20.47, SD = 3.08) enrolled in 11 universities from different regions in Spain filled in self-report measures of developmental assets and anxiety symptoms. The participants completed an online survey with the scales, Developmental Assets Profile developed by the Search Institute (1) and Generalized Anxiety Disorder-7 (GAD-7) (2). The results showed more anxiety in the female subsample (at both the symptoms and clinical levels). Some gender differences in developmental assets were also observed. A partial mediation model, based on regression analyses, indicated that gender differences in anxiety were partly explained by gender differences in developmental assets. Thus, higher anxiety in the women was partly due to lower scores in positive identity and higher scores in positive values. These results suggested the need to design programs to prevent anxiety with specific measures for women youth to nurture positive identity and promote strengths and coping skills that allow them to get the benefits of well-being derived from positive values, thus, preventing worry and stress overload, which may lead to anxiety.
RESUMO
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.
Assuntos
Serviços de Saúde Mental , Saúde Mental , Inteligência Artificial , Benchmarking , Ecossistema , Entropia , Humanos , EspanhaRESUMO
Major efforts worldwide have been made to provide balanced Mental Health (MH) care. Any integrated MH ecosystem includes hospital and community-based care, highlighting the role of outpatient care in reducing relapses and readmissions. This study aimed (i) to identify potential expert-based causal relationships between inpatient and outpatient care variables, (ii) to assess them by using statistical procedures, and finally (iii) to assess the potential impact of a specific policy enhancing the MH care balance on real ecosystem performance. Causal relationships (Bayesian network) between inpatient and outpatient care variables were defined by expert knowledge and confirmed by using multivariate linear regression (generalized least squares). Based on the Bayesian network and regression results, a decision support system that combines data envelopment analysis, Monte Carlo simulation and fuzzy inference was used to assess the potential impact of the designed policy. As expected, there were strong statistical relationships between outpatient and inpatient care variables, which preliminarily confirmed their potential and a priori causal nature. The global impact of the proposed policy on the ecosystem was positive in terms of efficiency assessment, stability and entropy. To the best of our knowledge, this is the first study that formalized expert-based causal relationships between inpatient and outpatient care variables. These relationships, structured by a Bayesian network, can be used for designing evidence-informed policies trying to balance MH care provision. By integrating causal models and statistical analysis, decision support systems are useful tools to support evidence-informed planning and decision making, as they allow us to predict the potential impact of specific policies on the ecosystem prior to its real application, reducing the risk and considering the population's needs and scientific findings.