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Lima IBD, Alves D, Furegato ARF. Mental Health Indicators for the Brazilian Psychosocial Care Network: A proposal. Rev Lat Am Enfermagem 2022; 30:e3599. [PMID: 35920537 DOI: 10.1590/1518-8345.5618.3599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 02/06/2022] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE to propose Mental Health Indicators aimed at management of the Mental Health Care Network, starting with convergence of their use, in countries with public health organization. METHOD an exploratory analysis of the indicators adopted and used in these countries, from the detailed analysis of their respective normative documents, considering the World Health Organization guidelines. After selection of the indicators, the Mental Health Matrix was adopted as a suggestion for their development and application in the Brazilian Psychosocial Care Network. The matrix was prepared in two dimensions, respecting the inclusion and exclusion criteria for the indicators studied, as follows: geographical (national/regional, local, individual), and time (entry, process and results). RESULTS the analysis indicates 41 indicators that presented diverse evidence regarding their use. All were allocated in the Mental Health Matrix, contributing as a metric to analyze the purpose of the Mental Health services, in the levels and phases of each dimension. CONCLUSION the indicators selected, distributed in the different Mental Health Matrix dimensions, are being made available for their use in management and in the clinical practice, as well as for scientific studies and, in the future, to be used as definers of Mental Health policies.
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Affiliation(s)
- Inacia Bezerra de Lima
- Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, Centro Colaborador da OPAS/OMS para o Desenvolvimento da Pesquisa em Enfermagem, Ribeirão Preto, SP, Brasil.,Bolsista da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasil
| | - Domingos Alves
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil
| | - Antônia Regina Ferreira Furegato
- Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, Centro Colaborador da OPAS/OMS para o Desenvolvimento da Pesquisa em Enfermagem, Ribeirão Preto, SP, Brasil
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Zurynski Y, Herkes-Deane J, Holt J, McPherson E, Lamprell G, Dammery G, Meulenbroeks I, Halim N, Braithwaite J. How can the healthcare system deliver sustainable performance? A scoping review. BMJ Open 2022; 12:e059207. [PMID: 35613812 PMCID: PMC9125771 DOI: 10.1136/bmjopen-2021-059207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Increasing health costs, demand and patient multimorbidity challenge the sustainability of healthcare systems. These challenges persist and have been amplified by the global pandemic. OBJECTIVES We aimed to develop an understanding of how the sustainable performance of healthcare systems (SPHS) has been conceptualised, defined and measured. DESIGN Scoping review of peer-reviewed articles and editorials published from database inception to February 2021. DATA SOURCES PubMed and Ovid Medline, and snowballing techniques. ELIGIBILITY CRITERIA We included articles that discussed key focus concepts of SPHS: (1) definitions, (2) measurement, (3) identified challenges, (4) identified solutions for improvement and (5) scaling successful solutions to maintain SPHS. DATA EXTRACTION AND SYNTHESIS After title/abstract screening, full-text articles were reviewed, and relevant information extracted and synthesised under the five focus concepts. RESULTS Of 142 included articles, 38 (27%) provided a definition of SPHS. Definitions were based mainly on financial sustainability, however, SPHS was also more broadly conceptualised and included acceptability to patients and workforce, resilience through adaptation, and rapid absorption of evidence and innovations. Measures of SPHS were also predominantly financial, but recent articles proposed composite measures that accounted for financial, social and health outcomes. Challenges to achieving SPHS included the increasingly complex patient populations, limited integration because of entrenched fragmented systems and siloed professional groups, and the ongoing translational gaps in evidence-to-practice and policy-to-practice. Improvement strategies for SPHS included developing appropriate workplace cultures, direct community and consumer involvement, and adoption of evidence-based practice and technologies. There was also a strong identified need for long-term monitoring and evaluations to support adaptation of healthcare systems and to anticipate changing needs where possible. CONCLUSIONS To implement lasting change and to respond to new challenges, we need context-relevant definitions and frameworks, and robust, flexible, and feasible measures to support the long-term sustainability and performance of healthcare systems.
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Affiliation(s)
- Yvonne Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Jessica Herkes-Deane
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Joanna Holt
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Elise McPherson
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gina Lamprell
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Genevieve Dammery
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Isabelle Meulenbroeks
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Nicole Halim
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
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The quality of mental health care delivered to patients with schizophrenia and related disorders in the Italian mental health system. The QUADIM project: a multi-regional Italian investigation based on healthcare utilisation databases. Epidemiol Psychiatr Sci 2022; 31:e15. [PMID: 35156603 PMCID: PMC8851066 DOI: 10.1017/s2045796022000014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AIMS To evaluate the quality of mental health care delivered to patients with schizophrenia and related disorders taken-in-care by mental health services in four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS Thirty-one clinical indicators concerning accessibility, appropriateness, continuity and safety were defined and estimated using healthcare utilisation (HCU) databases, containing data on mental health treatments, hospital admissions, outpatient interventions, lab tests and drug prescriptions. RESULTS A total of 70 586 prevalent patients with schizophrenia and related disorders treated in 2015 were identified, of whom 1752 were newly taken-in-care by the facilities of regional mental health services. For most patients community care was accessible and moderately intensive. However, care pathways were not implemented based on a structured assessment and only half of the patients received psychosocial treatments. One patient out of ten had access to psychological interventions and psychoeducation. Activities specifically addressed to families involved a third of prevalent patients and less than half of new patients. One patient out of six was admitted to a community residential facility, and one out of ten to a General Hospital Psychiatric Ward (GHPW); higher values were identified in new cases. In general hospitals, few patients had a length of stay (LoS) of more than 30 days, while one-fifth of the admissions were followed by readmission within 30 days of discharge. For two-thirds of patients, continuity of community care was met, and six times out of ten a discharge from a GHPW was followed by an outpatient contact within 2 weeks. For cases newly taken-in-care, the continuity of community care was uncommon, while the readiness of outpatient contacts after discharge was slightly more frequent. Most of the patients received antipsychotic medication, but their adherence to long-term treatment was low. Antipsychotic polytherapy was frequent and the control of metabolic side effects was poor. The variability between regions was high and consistent in all the quality domains. CONCLUSIONS The Italian mental health system could be improved by increasing the accessibility to psychosocial interventions, improving the quality of care for newly taken-in-care patients, focusing on somatic health and mortality, and reducing regional variability. Clinical indicators demonstrate the strengths and weaknesses of the mental health system in these regions, and, as HCU databases, they could be useful tools in the routine assessment of mental healthcare quality at regional and national levels.
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Lima IBD, Alves D, Furegato ARF. Mental Health Indicators for the Brazilian Psychosocial Care Network: A proposal. Rev Lat Am Enfermagem 2022. [PMID: 35920537 PMCID: PMC9342913 DOI: 10.1590/1518-8345.5618.3533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Objective: to propose Mental Health Indicators aimed at management of the Mental Health Care Network, starting with convergence of their use, in countries with public health organization. Method: an exploratory analysis of the indicators adopted and used in these countries, from the detailed analysis of their respective normative documents, considering the World Health Organization guidelines. After selection of the indicators, the Mental Health Matrix was adopted as a suggestion for their development and application in the Brazilian Psychosocial Care Network. The matrix was prepared in two dimensions, respecting the inclusion and exclusion criteria for the indicators studied, as follows: geographical (national/regional, local, individual), and time (entry, process and results). Results: the analysis indicates 41 indicators that presented diverse evidence regarding their use. All were allocated in the Mental Health Matrix, contributing as a metric to analyze the purpose of the Mental Health services, in the levels and phases of each dimension. Conclusion: the indicators selected, distributed in the different Mental Health Matrix dimensions, are being made available for their use in management and in the clinical practice, as well as for scientific studies and, in the future, to be used as definers of Mental Health policies.
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Affiliation(s)
- Inacia Bezerra de Lima
- Universidade de São Paulo, Brazil; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasil
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Lima IBD, Alves D, Furegato ARF. Indicadores de salud mental para la Red Brasileña de Atención Psicosocial: una propuesta. Rev Lat Am Enfermagem 2022. [DOI: 10.1590/1518-8345.5618.3598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Resumen Objetivo: proponer indicadores de salud mental para la gestión de la Red de Atención en Salud Mental, a partir de la convergencia de uso en países con organización pública de salud. Método: análisis exploratorio de los indicadores que adoptan y utilizan estos países, a partir del análisis detallado de sus respectivos documentos normativos, considerando las directrices de la Organización Mundial de la Salud. Después de seleccionar los indicadores, se sugirió adoptar la Matriz de Salud Mental para desarrollarlos y aplicarlos en la Red Brasileña de Atención Psicosocial. Respetando los criterios de inclusión y exclusión de los indicadores estudiados, la matriz fue construida en dos dimensiones: geográfica (nacional/regional, local, individual) y temporal (entrada, proceso y resultados). Resultados: el análisis indica que 41 indicadores presentaron evidencia de uso. Todos fueron posicionados en la Matriz de Salud Mental, y contribuyeron como métrica para analizar la finalidad de los servicios de salud mental, en los niveles y fases de cada dimensión. Conclusión: los indicadores seleccionados, distribuidos en diferentes dimensiones de la Matriz de Salud Mental, están disponibles para ser utilizados tanto en la gestión y en la práctica clínica, como en estudios científicos y, en un horizonte futuro, para definir políticas de salud mental.
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Affiliation(s)
- Inacia Bezerra de Lima
- Universidade de São Paulo, Brazil; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasil
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Thom J, Mauz E, Peitz D, Kersjes C, Aichberger M, Baumeister H, Bramesfeld A, Daszkowski J, Eichhorn T, Gaebel W, Härter M, Jacobi F, Kuhn J, Lindert J, Margraf J, Melchior H, Meyer-Lindenberg A, Nebe A, Orpana H, Peth J, Reininghaus U, Riedel-Heller S, Rose U, Schomerus G, Schuler D, von Rüden U, Hölling H. Establishing a Mental Health Surveillance in Germany: Development of a framework concept and indicator set. JOURNAL OF HEALTH MONITORING 2021; 6:34-63. [PMID: 35146320 PMCID: PMC8734140 DOI: 10.25646/8861] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 09/02/2021] [Indexed: 11/24/2022]
Abstract
In the course of the recognition of mental health as an essential component of population health, the Robert Koch Institute has begun developing a Mental Health Surveillance (MHS) system for Germany. MHS aims to continuously report data for relevant mental health indicators, thus creating a basis for evidence-based planning and evaluation of public health measures. In order to develop a set of indicators for the adult population, potential indicators were identified through a systematic literature review and selected in a consensus process by international and national experts and stakeholders. The final set comprises 60 indicators which, together, represent a multidimensional public health framework for mental health across four fields of action. For the fifth field of action 'Mental health promotion and prevention' indicators still need to be developed. The methodology piloted proved to be practicable. Strengths and limitations will be discussed regarding the search and definition of indicators, the scope of the indicator set as well as the participatory decision-making process. Next steps in setting up the MHS will be the operationalisation of the single indicators and their extension to also cover children and adolescents. Given assured data availability, the MHS will contribute to broadening our knowledge on population mental health, supporting a targeted promotion of mental health and reducing the disease burden in persons with mental disorders.
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Affiliation(s)
- Julia Thom
- Robert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring
| | - Elvira Mauz
- Robert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring
| | - Diana Peitz
- Robert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring
| | - Christina Kersjes
- Robert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring
| | - Marion Aichberger
- Department of Psychiatry and Psychotherapy at the Charité Campus Mitte, Charité - Universitätsmedizin Berlin
| | - Harald Baumeister
- University of Ulm, Institute of Psychology and Education, Department of Clinical Psychology and Psychotherapy
| | - Anke Bramesfeld
- Ministry for Social Affairs, Health and Equal Opportunities of Lower Saxony
- Hannover Medical School (MHH), Institute for Epidemiology, Social Medicine and Health System Research
| | | | | | - Wolfgang Gaebel
- WHO Collaborating Centre DEU-131; Rhineland Regional Council (LVR) - Klinikum Düsseldorf, Kliniken der Heinrich-Heine-Universität Düsseldorf
| | - Martin Härter
- University Medical Center Hamburg-Eppendorf, Center for Psychosocial Medicine, Department of Medical Psychology
- German Network Health Services Research
| | - Frank Jacobi
- Psychologische Hochschule Berlin, Department of Clinical Psychology and Psychotherapy
| | | | - Jutta Lindert
- University of Applied Sciences Emden/Leer
- European Public Health Association, Section Public Mental Health
| | - Jürgen Margraf
- Ruhr-University Bochum, Mental Health Research and Treatment Center
| | - Hanne Melchior
- National Association of Statutory Health Insurance Physicians
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim, Universität Heidelberg
- German Association for Psychiatry, Psychotherapy and Psychosomatics e.V
| | | | | | - Judith Peth
- University Medical Center Hamburg-Eppendorf, Center for Psychosocial Medicine, Department of Medical Psychology
| | - Ulrich Reininghaus
- Central Institute of Mental Health, Medical Faculty Mannheim, Universität Heidelberg
| | - Steffi Riedel-Heller
- University of Leipzig, Faculty of Medicine, Institute of Social Medicine, Occupational Health and Public Health
- German Association for Psychiatry, Psychotherapy and Psychosomatics e.V
| | - Uwe Rose
- Federal Institute for Occupational Safety and Health
| | - Georg Schomerus
- University of Leipzig, Medical Faculty, University of Leipzig Medical Center, Department of Psychiatry and Psychotherapy
| | | | | | - Heike Hölling
- Robert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring
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de Lima IB, Bernadi FA, Yamada DB, Vinci ALT, Rijo RPCL, Alves D, Furegato ARF. The use of indicators for the management of Mental Health Services. Rev Lat Am Enfermagem 2021; 29:e3409. [PMID: 33852681 PMCID: PMC8040785 DOI: 10.1590/1518-8345.4202.3409] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 07/31/2020] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE to identify indicators that can be used in the management of Mental Health Services. METHOD an integrative review in which we adopted the Population, Concept, and Context strategy to formulate the following Guiding Question: "Which indicators can be used for the management of mental health services?". RESULTS a total of 22 articles were included and divided into two main groups: countries with initial high income (54%) as well as low- and middle-income countries (46%). We identified 5 studies that had experienced the use of indicators, 5 studies that had reported partial implementation, 9 studies that did not report use or implementation, 1 study on the indicator selection process, 1 as an implementation pilot, and a final study with a discussion for implementation. High-income countries also find it difficult to implement mental health indicators. The main difficulties in adopting the use of indicators are lack of basic mental health services, financial resources, legislation, political interest, and guidelines for its management. CONCLUSION it is unusual to find a descriptive comparison of quality monitoring programs at the system level in the technical-scientific literature related to mental health indicators.
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Affiliation(s)
- Inacia Bezerra de Lima
- Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil
- Scholarship holder at the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil
| | | | - Diego Bettiol Yamada
- Scholarship holder at the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | - Domingos Alves
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Antonia Regina Ferreira Furegato
- Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil
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Tedeschi F, Donisi V, Salazzari D, Cresswell-Smith J, Wahlbeck K, Amaddeo F. Clinical and organizational factors predicting readmission for mental health patients across Italy. Soc Psychiatry Psychiatr Epidemiol 2020; 55:187-196. [PMID: 31463615 DOI: 10.1007/s00127-019-01766-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 08/20/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE The aims of our study are: to explore rehospitalization in mental health services across Italian regions, Local Health Districts (LHDs), and hospitals; to examine the predictive power of different clinical and organizational factors. METHODS The data set included adult patients resident in Italy discharged from a general hospital episode with a main psychiatric diagnosis in 2012. Independent variables at the individual, hospital, LHD, and region levels were used. Outcome variables were individual-level readmission and LHD-level readmission rate to any hospital at 1-year follow-up. The association with readmission of each variable was assessed through both single- and multi-level logistic regression; descriptive statistics were provided to assess geographical variation. Relevance of contextual effects was investigated through a series of random-effects regressions without covariates. RESULTS The national 1-year readmission rate was 43.0%, with a cross-regional coefficient of variation of 6.28%. Predictors of readmission were: admission in the same LHD as residence, psychotic disorder, higher length of stay (LoS), higher rate of public beds in the LHD; protective factors were: young age, involuntary admission, and intermediate number of public healthcare staff at the LHD level. Contextual factors turned out to affect readmission only to a limited degree. CONCLUSIONS Homogeneity of readmission rates across regions, LHDs, hospitals, and groups of patients may be considered as a positive feature in terms of equity of the mental healthcare system. Our results highlight that readmission is mainly determined by individual-level factors. Future research is needed to better explore the relationship between readmission and LoS, discharge decision, and resource availability.
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Affiliation(s)
- Federico Tedeschi
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, Ospedale Policlinico "G.B. Rossi", University of Verona, P.le L.A. Scuro, 10, 37134, Verona, Italy.
| | - V Donisi
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, Ospedale Policlinico "G.B. Rossi", University of Verona, P.le L.A. Scuro, 10, 37134, Verona, Italy
| | - D Salazzari
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, Ospedale Policlinico "G.B. Rossi", University of Verona, P.le L.A. Scuro, 10, 37134, Verona, Italy
| | - J Cresswell-Smith
- Mental Health Unit, National Institute for Health and Welfare (THL), P.O. Box 30, 00271, Helsinki, Finland
| | - K Wahlbeck
- Mental Health Unit, National Institute for Health and Welfare (THL), P.O. Box 30, 00271, Helsinki, Finland
| | - F Amaddeo
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, Ospedale Policlinico "G.B. Rossi", University of Verona, P.le L.A. Scuro, 10, 37134, Verona, Italy
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The REFINEMENT Glossary of Terms: An International Terminology for Mental Health Systems Assessment. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2019; 45:342-351. [PMID: 28918502 DOI: 10.1007/s10488-017-0826-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Comparing mental health systems across countries is difficult because of the lack of an agreed upon terminology covering services and related financing issues. Within the European Union project REFINEMENT, international mental health care experts applied an innovative mixed "top-down" and "bottom-up" approach following a multistep design thinking strategy to compile a glossary on mental health systems, using local services as pilots. The final REFINEMENT glossary consisted of 432 terms related to service provision, service utilisation, quality of care and financing. The aim of this study was to describe the iterative process and methodology of developing this glossary.
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Abstract
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.
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Fernandes S, Fond G, Zendjidjian X, Michel P, Baumstarck K, Lancon C, Berna F, Schurhoff F, Aouizerate B, Henry C, Etain B, Samalin L, Leboyer M, Llorca PM, Coldefy M, Auquier P, Boyer L. The Patient-Reported Experience Measure for Improving qUality of care in Mental health (PREMIUM) project in France: study protocol for the development and implementation strategy. Patient Prefer Adherence 2019; 13:165-177. [PMID: 30718945 PMCID: PMC6345324 DOI: 10.2147/ppa.s172100] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Measuring the quality and performance of health care is a major challenge in improving the efficiency of a health system. Patient experience is one important measure of the quality of health care, and the use of patient-reported experience measures (PREMs) is recommended. The aims of this project are 1) to develop item banks of PREMs that assess the quality of health care for adult patients with psychiatric disorders (schizophrenia, bipolar disorder, and depression) and to validate computerized adaptive testing (CAT) to support the routine use of PREMs; and 2) to analyze the implementation and acceptability of the CAT among patients, professionals, and health authorities. METHODS This multicenter and cross-sectional study is based on a mixed method approach, integrating qualitative and quantitative methodologies in two main phases: 1) item bank and CAT development based on a standardized procedure, including conceptual work and definition of the domain mapping, item selection, calibration of the item bank and CAT simulations to elaborate the administration algorithm, and CAT validation; and 2) a qualitative study exploring the implementation and acceptability of the CAT among patients, professionals, and health authorities. DISCUSSION The development of a set of PREMs on quality of care in mental health that overcomes the limitations of previous works (ie, allowing national comparisons regardless of the characteristics of patients and care and based on modern testing using item banks and CAT) could help health care professionals and health system policymakers to identify strategies to improve the quality and efficiency of mental health care. TRIAL REGISTRATION NCT02491866.
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Affiliation(s)
- Sara Fernandes
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Guillaume Fond
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Xavier Zendjidjian
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Pierre Michel
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Karine Baumstarck
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Christophe Lancon
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | | | | | | | | | | | | | | | | | - Magali Coldefy
- Institute for Research and Information in Health Economics (IRDES), Paris, France
| | - Pascal Auquier
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
| | - Laurent Boyer
- Aix-Marseille University, School of Medicine, CEReSS - Health Service Research and Quality of Life Center - EA 3279 Research Unit, Marseille, France, Email
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Lora A, Lesage A, Pathare S, Levav I. Information for mental health systems: an instrument for policy-making and system service quality. Epidemiol Psychiatr Sci 2017; 26:383-394. [PMID: 27780495 PMCID: PMC6998623 DOI: 10.1017/s2045796016000743] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2016] [Accepted: 09/10/2016] [Indexed: 10/20/2022] Open
Abstract
AIMS Information is crucial in mental healthcare, yet it remains undervalued by stakeholders. Its absence undermines rationality in planning, makes it difficult to monitor service quality improvement, impedes accountability and human rights monitoring. For international organizations (e.g., WHO, OECD), information is indispensable for achieving better outcomes in mental health policies, services and programs. This article reviews the importance of developing system level information with reference to inputs, processes and outputs, analyzes available tools for collecting and summarizing information, highlights the various goals of information gathering, discusses implementation issues and charts the way forward. METHODS Relevant publications and research were consulted, including WHO studies that purport to promote the use of information systems to upgrade mental health care in high- and low-middle income countries. RESULTS Studies have shown that once information has been collected by relevant systems and analyzed through indicator schemes, it can be put to many uses. Monitoring mental health services, represents a first step in using information. In addition, studies have noted that information is a prime resource in many other areas such as evaluation of quality of care against evidence based standards of care. Services data may support health services research where it is possible to link mental health data with other health and non-health databases. Information systems are required to carefully monitor involuntary admissions, restrain and seclusion, to reduce human rights violations in care facilities. Information has been also found useful for policy makers, to monitor the implementation of policies, to evaluate their impact, to rationally allocate funding and to create new financing models. CONCLUSIONS Despite its manifold applications, Information systems currently face many problems such as incomplete recording, poor data quality, lack of timely reporting and feedback, and limited application of information. Corrective action is needed to upgrade data collection in outpatient facilities, to improve data quality, to establish clear rules and norms, to access adequate information technology equipment and to train health care personnel in data collection. Moreover, it is necessary to shift from mere administrative data collection to analysis, dissemination and use by relevant stakeholders and to develop a "culture of information" to dismantle the culture of intuition and mere tradition. Clinical directors, mental health managers, patient and family representatives, as well as politicians should be educated to operate with information and not just intuition.
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Affiliation(s)
- A. Lora
- Department of Mental Health - Manzoni Hospital, Lecco, Italy
| | - A. Lesage
- Centre de recherche de l'Institut Universitaire en Santé Mentale, Université de Montréal, Montreal, Canada
| | - S. Pathare
- Centre for MH Law & Policy, Indian Law Society, Pune, India
| | - I. Levav
- Department of Community Mental Health, Faculty of Welfare and Health Sciences, University of Haifa, Israel
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Bramesfeld A, Wensing M, Bartels P, Bobzin H, Grenier C, Heugren M, Hirschfield DJ, Langenegger M, Lindelius B, Lucet B, Manor O, Schneider T, Wardell F, Szecsenyi J. Mandatory national quality improvement systems using indicators: An initial assessment in Europe and Israel. Health Policy 2016; 120:1256-1269. [PMID: 27793361 DOI: 10.1016/j.healthpol.2016.09.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 09/27/2016] [Accepted: 09/30/2016] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Quality improvement systems (QIS) that are based on empirical performance assessment have increasingly been implemented as a mandatory part of health systems across countries. This study aims to describe national mandatory QIS in Europe in 2014. MATERIALS AND METHODS Relevant national agencies for national mandatory QIS in Europe were identified through online searches and key informants. A questionnaire was compiled during a workshop with these agencies and filled out by representatives from these particular agencies. RESULTS Agencies in charge of national mandatory QIS in seven countries (Denmark, France, Germany, Israel, Scotland, Sweden and Switzerland) were included in the study. An analysis of QIS revealed similarities, such as the use of routine data for performance assessment and the aim to hold healthcare providers accountable. Differences relate to the different forms of feedback systems and improvement mechanisms used. Trends include the development towards greater implementation of QIS within health systems, the inclusion of the patient's perspective in performance assessment, and experiments with pay for performance-related measures. CONCLUSION On a country level, for health systems striving for newly implementing QIS it is recommended to start where routine data is available, add qualitative methodologies once the QIS is getting more complex, report performance data back to service providers and be patient centred. On the inter-country level exchange of information between agencies commissioned with implementing national QIS is very much needed for.
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Affiliation(s)
- Anke Bramesfeld
- AQUA-Institute for Applied Quality Improvement and Research in Health Care, Maschmühlenweg 8, 37073 Göttingen, Germany; Institute for Epidemiology, Social Medicine and Health System Research, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany.
| | - Michel Wensing
- Radboud University Medical Centre, Radboud Institute of Health Sciences, Geert Grooteplein 21, 6500 HB Nijmegen, The Netherlands
| | - Paul Bartels
- The Danish Clinical Registries-A National Quality Improvement Programme, Olof Palmes Allé 15, 8200 Aarhus, Denmark
| | - Henning Bobzin
- AQUA-Institute for Applied Quality Improvement and Research in Health Care, Maschmühlenweg 8, 37073 Göttingen, Germany
| | - Catherine Grenier
- Direction de l'Amélioration de la Qualité & de la Sécurité des Soins, Haute Autorité de Santé, 2, Avenue du Stade de France, 93218 Saint Denis La Plaine Cedex, France
| | - Mona Heugren
- National Board of Health and Welfare, Rålambsvägen 3, SE 10630 Stockholm, Sweden
| | - Dena Jaffe Hirschfield
- Braun School of Public Health & Community Medicine, Hebrew University-Hadassah, Jerusalem, Israel; Kantar Health, Health Outcomes Practice, Jerusalem, Israel
| | - Manfred Langenegger
- Bundesamt für Gesundheit BAG, Direktionsbereich Kranken- und Unfallversicherung, Schwarzenburgerstr. 175, 3003 Bern, Switzerland
| | - Birgitta Lindelius
- National Board of Health and Welfare, Rålambsvägen 3, SE 10630 Stockholm, Sweden
| | - Bruno Lucet
- Direction de l'Amélioration de la Qualité & de la Sécurité des Soins, Haute Autorité de Santé, 2, Avenue du Stade de France, 93218 Saint Denis La Plaine Cedex, France
| | - Orly Manor
- Direction de l'Amélioration de la Qualité & de la Sécurité des Soins, Haute Autorité de Santé, 2, Avenue du Stade de France, 93218 Saint Denis La Plaine Cedex, France
| | - Theres Schneider
- Bundesamt für Gesundheit BAG, Direktionsbereich Kranken- und Unfallversicherung, Schwarzenburgerstr. 175, 3003 Bern, Switzerland
| | - Fiona Wardell
- Healthcare Improvement Scotland, Delta House, 50 West Nile Street, Glasgow G1 2NP, United Kingdom
| | - Joachim Szecsenyi
- Healthcare Improvement Scotland, Delta House, 50 West Nile Street, Glasgow G1 2NP, United Kingdom; Department of General Practice and Health Services Research, Heidelberg University Hospital, Voßstr. 2, D-69115 Heidelberg, Germany
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