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Barbato A, D'Avanzo B, Corrao G, Di Fiandra T, Ferrara L, Gaddini A, Jarach CM, Monzio Compagnoni M, Saponaro A, Scondotto S, Tozzi VD, Lora A. Allocation of Users of Mental Health Services to Needs-Based Care Clusters: An Italian Pilot Study. Community Ment Health J 2024; 60:494-503. [PMID: 37882894 PMCID: PMC10912259 DOI: 10.1007/s10597-023-01200-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
In Italy, despite strong community-based mental health services, needs assessment is unsatisfactory. Using the Mental Health Clustering Tool (MHCT) we adopted a multidimensional and non-diagnosis dependent approach to assign mental health services users with similar needs to groups corresponding to resources required for effective care. We tested the MHCT in nine Departments of Mental Health in four Italian regions. After a brief training, 318 professionals assessed 12,938 cases with a diagnosis of schizophrenia, depression, bipolar disorder and personality disorder through the MHCT. 53% of cases were 40-59 years, half were females, 51% had a diagnosis of schizophrenia, 48% of cases were clinically severe. Clusters included different levels of clinical severity and diagnostic groups. The largest cluster was 11 (ongoing recurrent psychosis), with 18.9% of the sample, followed by cluster 3 (non-psychotic disorders of moderate severity). The MHCT could capture a variety of problems of people with mental disorders beyond the traditional psychiatric assessment, therefore depicting service population from a different standpoint. Following a brief training, MHCT assessment proved to be feasible. The automatic allocation of cases made the attribution to clusters easy and acceptable by professionals. To what extent clustering provide a sound base for care planning will be the matter of further research.
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Affiliation(s)
- Angelo Barbato
- Laboratory of Quality Assessment of Care and Services, Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Barbara D'Avanzo
- Laboratory of Quality Assessment of Care and Services, Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Giovanni Corrao
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, 20126, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
| | - Teresa Di Fiandra
- Psychologist, previously General Directorate for Health Prevention, Italian Ministry of Health, Rome, Italy
| | - Lucia Ferrara
- Centre of Research on Health and Social Care Management, CERGAS SDA Bocconi School of Management (Bocconi University), Milan, Italy
| | | | - Carlotta Micaela Jarach
- Laboratory of Lifestyle Epidemiology, Department of Environment and Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Matteo Monzio Compagnoni
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, 20126, Milan, Italy.
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
| | - Alessio Saponaro
- General Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy
| | - Salvatore Scondotto
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy
| | - Valeria D Tozzi
- Psychologist, previously General Directorate for Health Prevention, Italian Ministry of Health, Rome, Italy
| | - Antonio Lora
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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Sanza M, Monzio Compagnoni M, Caggiu G, Allevi L, Barbato A, Campa J, Carle F, D'avanzo B, Di Fiandra T, Ferrara L, Gaddini A, Saponaro A, Scondotto S, Tozzi VD, Lorusso S, Giordani C, Corrao G, Lora A. Assessing the quality of the care offer for people with personality disorders in Italy: the QUADIM project. A multicentre research based on the database of use of Mental Health services. Int J Ment Health Syst 2023; 17:31. [PMID: 37833745 PMCID: PMC10571410 DOI: 10.1186/s13033-023-00603-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Italy can be viewed as a laboratory to assess the quality of mental healthcare delivered in a community-oriented system, especially for severe mental disorders, such as personality disorders. Although initiatives based on clinical indicators for assessing the quality of mental healthcare have been developed by transnational-organisations, there is still no widespread practice of measuring the quality of care pathways delivered to patients with severe mental disorders in a community-oriented system, especially using administrative healthcare databases. The aim of the study is to evaluate the quality of care delivered to patients with personality disorders taken-in-care by mental health services of four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS A set of thirty-three clinical indicators, concerning accessibility, appropriateness, continuity, and safety of care, was implemented using regional healthcare utilization databases, containing data on mental health treatments and diagnosis, hospital admissions, outpatient interventions and exams and drug prescriptions. RESULTS 31,688 prevalent patients with personality disorders treated in 2015 were identified, of whom 2,331 newly taken-in-care. One-in-10 patients received a standardized assessment, the treatment discontinuity affected half of the cases. 12.7% of prevalent patients received at least one hospitalization, 10.6% in the newly taken-in-care cohort. 6-out-of-10 patients had contact with community-services within 14 days from hospital discharge. Access to psychotherapy and psychoeducational treatments was low and delivered with a low intensity. The median of psychosocial interventions per person-year was 19.1 and 9.4, respectively, in prevalent and newly taken-in-care cases. Nearly 50% of patients received pharmacological treatments. CONCLUSIONS Healthcare utilization databases were used to systematically evaluate and assess service delivery across regional mental health systems; suggesting that in Italy the public mental health services provide to individuals with personality disorders suboptimal treatment paths.
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Affiliation(s)
- Michele Sanza
- Department of Mental Health and Addiction Disorders Forlì-Cesena, AUSL Romagna, Cesena, Italy
| | - Matteo Monzio Compagnoni
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
| | - Giulia Caggiu
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
| | - Liliana Allevi
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
| | - Angelo Barbato
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | | | - Flavia Carle
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Barbara D'avanzo
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Teresa Di Fiandra
- Psychologist, previously General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | - Lucia Ferrara
- Centre of Research on Health and Social Care Management, CERGAS SDA Bocconi School of Management (Bocconi University, Milan, Italy
| | | | - Alessio Saponaro
- General Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy
| | - Salvatore Scondotto
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy
| | - Valeria D Tozzi
- Centre of Research on Health and Social Care Management, CERGAS SDA Bocconi School of Management (Bocconi University, Milan, Italy
| | - Stefano Lorusso
- Department of Health Planning, Italian Health Ministry, Rome, Italy
| | | | - Giovanni Corrao
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
| | - Antonio Lora
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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Tozzi VD, Banks H, Ferrara L, Barbato A, Corrao G, D'avanzo B, Di Fiandra T, Gaddini A, Compagnoni MM, Sanza M, Saponaro A, Scondotto S, Lora A. Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system. BMC Health Serv Res 2023; 23:960. [PMID: 37679722 PMCID: PMC10483754 DOI: 10.1186/s12913-023-09655-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/06/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Mental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes. METHODS Since diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014-2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions. RESULTS Substantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on total costs. CONCLUSIONS The current MH care system in Italy lacks evidence of coordination of physical and mental health and matching services to patient needs, with high variation between regions. Using available assessment tools and administrative data, implementation of an episodic approach to funding MH could account for differences in disease phase and physical health for patients with SMDs and introduce performance measurement to improve outcomes and provide oversight.
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Affiliation(s)
- Valeria D Tozzi
- Center for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy
| | - Helen Banks
- Center for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy
| | - Lucia Ferrara
- Center for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy.
| | - Angelo Barbato
- Unit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Giovanni Corrao
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano- Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Barbara D'avanzo
- Unit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Teresa Di Fiandra
- General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | | | - Matteo Monzio Compagnoni
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano- Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Michele Sanza
- Department of Mental Health and Addiction Services, AUSL Romagna, Cesena, Italy
| | - Alessio Saponaro
- General Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy
| | - Salvatore Scondotto
- Department of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy
| | - Antonio Lora
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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D'Avanzo B, Barbato A, Monzio Compagnoni M, Caggiu G, Allevi L, Carle F, Di Fiandra T, Ferrara L, Gaddini A, Sanza M, Saponaro A, Scondotto S, Tozzi VD, Giordani C, Corrao G, Lora A. The quality of mental health care for people with bipolar disorders in the Italian mental health system: the QUADIM project. BMC Psychiatry 2023; 23:424. [PMID: 37312076 PMCID: PMC10261835 DOI: 10.1186/s12888-023-04921-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/31/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND The assessment of the quality of care pathways delivered to people with severe mental disorders in a community-based system remains uncommon, especially using healthcare utilization databases. The aim of the study was to evaluate the quality of care provided to people with bipolar disorders taken-in-care by mental health services of four Italian areas (Lombardy, Emilia-Romagna, Lazio, province of Palermo). METHODS Thirty-six quality indicators were implemented to assess quality of mental health care for patients with bipolar disorders, according to three dimensions (accessibility and appropriateness, continuity, and safety). Data were retrieved from healthcare utilization (HCU) databases, which contain data on mental health treatments, hospital admissions, outpatient interventions, laboratory tests and drug prescriptions. RESULTS 29,242 prevalent and 752 incident cases taken-in-care by regional mental health services with a diagnosis of bipolar disorder in 2015 were identified. Age-standardized treated prevalence rate was 16.2 (per 10,000 adult residents) and treated incidence rate 1.3. In the year of evaluation, 97% of prevalent cases had ≥ 1 outpatient/day-care contacts and 88% had ≥ 1 psychiatric visits. The median of outpatient/day-care contacts was 9.3 interventions per-year. Psychoeducation was provided to 3.5% of patients and psychotherapy to 11.5%, with low intensity. 63% prevalent cases were treated with antipsychotics, 71.5% with mood stabilizers, 46.6% with antidepressants. Appropriate laboratory tests were conducted in less than one-third of prevalent patients with a prescription of antipsychotics; three quarters of those with a prescription of lithium. Lower proportions were observed for incident patients. In prevalent patients, the Standardized Mortality Ratio was 1.35 (95% CI: 1.26-1.44): 1.18 (1.07-1.29) in females, 1.60 (1.45-1.77) in males. Heterogeneity across areas was considerable in both cohorts. CONCLUSIONS We found a meaningful treatment gap in bipolar disorders in Italian mental health services, suggesting that the fact they are entirely community-based does not assure sufficient coverage by itself. Continuity of contacts was sufficient, but intensity of care was low, suggesting the risk of suboptimal treatment and low effectiveness. Care pathways were monitored and evaluated using administrative healthcare databases, adding evidence that such data may contribute to assess the quality of clinical pathways in mental health.
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Affiliation(s)
- Barbara D'Avanzo
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Angelo Barbato
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Matteo Monzio Compagnoni
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, Milan, 20126, Italy.
| | - Giulia Caggiu
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, Milan, 20126, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
| | - Liliana Allevi
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
| | - Flavia Carle
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | | | - Lucia Ferrara
- Centre of Research on Health and Social Care Management, SDA Bocconi School of Management (Bocconi University, Milan, Italy
| | | | - Michele Sanza
- Department of Mental Health and Substance Abuse, Local Health Trust of Romagna, Cesena, Italy
| | - Alessio Saponaro
- General Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy
| | - Salvatore Scondotto
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy
| | - Valeria D Tozzi
- Centre of Research on Health and Social Care Management, SDA Bocconi School of Management (Bocconi University, Milan, Italy
| | | | - Giovanni Corrao
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, Milan, 20126, Italy
| | - Antonio Lora
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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Monzio Compagnoni M, Caggiu G, Allevi L, Barbato A, Carle F, D'Avanzo B, Di Fiandra T, Ferrara L, Gaddini A, Giordani C, Sanza M, Saponaro A, Scondotto S, Tozzi VD, Corrao G, Lora A. Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project). J Clin Med 2023; 12:jcm12093297. [PMID: 37176737 PMCID: PMC10179491 DOI: 10.3390/jcm12093297] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/26/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.
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Affiliation(s)
- Matteo Monzio Compagnoni
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
| | - Giulia Caggiu
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, 23900 Lecco, Italy
| | - Liliana Allevi
- Department of Mental Health and Addiction Services, ASST Lecco, 23900 Lecco, Italy
| | - Angelo Barbato
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy
| | - Flavia Carle
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
- Center of Epidemiology and Biostatistics, Polytechnic University of Marche, 60121 Ancona, Italy
| | - Barbara D'Avanzo
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy
| | - Teresa Di Fiandra
- Psychologist, Previously General Directorate for Health Prevention, Ministry of Health, 00144 Rome, Italy
| | - Lucia Ferrara
- Centre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, 20100 Milan, Italy
| | | | - Cristina Giordani
- Department of Health Planning, Italian Health Ministry, 00144 Rome, Italy
| | - Michele Sanza
- Department of Mental Health and Addiction Disorders Forlì-Cesena, AUSL Romagna, 48121 Cesena, Italy
| | - Alessio Saponaro
- General Directorate of Health and Social Policies, 40127 Bologna, Italy
| | - Salvatore Scondotto
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Health Services and Epidemiological Observatory, Regional Health Authority, 90145 Palermo, Italy
| | - Valeria D Tozzi
- Centre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, 20100 Milan, Italy
| | - Giovanni Corrao
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
| | - Antonio Lora
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Mental Health and Addiction Services, ASST Lecco, 23900 Lecco, Italy
- Consultant for General Directorate for Welfare, 20124 Milan, Italy
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Bacigalupo I, Lombardo FL, Bargagli AM, Cascini S, Agabiti N, Davoli M, Scalmana S, Palma AD, Greco A, Rinaldi M, Giordana R, Imperiale D, Secreto P, Golini N, Gnavi R, Lovaldi F, Biagini CA, Gualdani E, Francesconi P, Magliocchetti N, Fiandra TD, Vanacore N. Identification of dementia and MCI cases in health information systems: An Italian validation study. Alzheimers Dement (N Y) 2022; 8:e12327. [PMID: 36320346 PMCID: PMC9617569 DOI: 10.1002/trc2.12327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 06/03/2022] [Accepted: 06/10/2022] [Indexed: 11/06/2022]
Abstract
Introduction The identification of dementia cases through routinely collected health data represents an easily accessible and inexpensive method to estimate the prevalence of dementia. In Italy, a project aimed at the validation of an algorithm was conducted. Methods The project included cases (patients with dementia or mild cognitive impairment [MCI]) recruited in centers for cognitive disorders and dementias and controls recruited in outpatient units of geriatrics and neurology. The algorithm based on pharmaceutical prescriptions, hospital discharge records, residential long‐term care records, and information on exemption from health‐care co‐payment, was applied to the validation population. Results The main analysis was conducted on 1110 cases and 1114 controls. The sensitivity, specificity, and positive and negative predictive values in discerning cases of dementia were 74.5%, 96.0%, 94.9%, and 79.1%, respectively, whereas in detecting cases of MCI these values were 29.7%, 97.5%, 92.2%, and 58.1%, respectively. The variables associated with misclassification of cases were also identified. Discussion This study provided a validated algorithm, based on administrative data, which can be used to identify cases with dementia and, with lower sensitivity, also early onset dementia but not cases with MCI.
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Affiliation(s)
- Ilaria Bacigalupo
- National Center for Disease Prevention and Health PromotionItalian NationalInstitute of HealthRomeItaly
| | - Flavia L. Lombardo
- National Center for Disease Prevention and Health PromotionItalian NationalInstitute of HealthRomeItaly
| | | | - Silvia Cascini
- Department of EpidemiologyLazio Regional Health ServiceRomeItaly
| | - Nera Agabiti
- Department of EpidemiologyLazio Regional Health ServiceRomeItaly
| | - Marina Davoli
- Department of EpidemiologyLazio Regional Health ServiceRomeItaly
| | | | | | | | | | | | | | - Piero Secreto
- Geriatric unitLocal Health Authority TO3Piemonte RegionTurinItaly
| | - Natalia Golini
- Epidemiology UnitLocal Health Authority TO3Piemonte RegionGrugliascoItaly
| | - Roberto Gnavi
- Epidemiology UnitLocal Health Authority TO3Piemonte RegionGrugliascoItaly
| | | | | | - Elisa Gualdani
- Epidemiology UnitToscana Regional Health AgencyFlorenceItaly
| | | | | | - Teresa Di Fiandra
- General Directorate for Health PreventionMinistry of HealthRomeItaly
| | - Nicola Vanacore
- National Center for Disease Prevention and Health PromotionItalian NationalInstitute of HealthRomeItaly
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Ancidoni A, Sciancalepore F, Bacigalupo I, Bellomo G, Canevelli M, Lacorte E, Lombardo FL, Lorenzini P, Palazzesi I, Piscopo P, Salvi E, Bianchi CBNA, Landoni F, La Sala L, Di Fiandra T, Vanacore N. The Italian fund for Alzheimer's and other dementias: strategies and objectives to face the dementia challenge. Ann Ist Super Sanita 2022; 58:192-196. [PMID: 36128968 DOI: 10.4415/ann_22_03_08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The Italian Fund for Alzheimer's and other dementias was approved and signed in December 2021. The Fund is financed with 15 million euros in three years. The main goal is to provide new strategies in the field of dementia with a Public Health perspective. The Fund includes eight main activities that will be monitored and supervised by the Italian National Institute of Health: 1) development of a guideline for the assessment, management and support for people with dementia and their families/carers; 2) updating of the Dementia National Plan (DNP); 3) implementation of the documents of the DNP; 4) conducting surveys dedicated to the Italian Dementia Services; 5) promotion of dementia prevention strategies; 6) training strategies for healthcare professionals, families and caregivers; 7) creation of a National Electronic Record for Dementia; 8) evaluation and monitoring of activities promoted by Regions and Autonomous Provinces in the field of dementia, together with the dementia National Permanent Table. These activities are outlined in detail in the present paper.
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Affiliation(s)
- Antonio Ancidoni
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy - Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy
| | - Francesco Sciancalepore
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Ilaria Bacigalupo
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Guido Bellomo
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Marco Canevelli
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy - Dipartimento di Neuroscienze Umane, Sapienza Università di Roma, Rome, Italy
| | - Eleonora Lacorte
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Flavia L Lombardo
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Patrizia Lorenzini
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Ilaria Palazzesi
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Paola Piscopo
- Dipartimento di Neuroscienze, Istituto Superiore di Sanità, Rome, Italy
| | - Emanuela Salvi
- Centro Nazionale per la Ricerca e la Valutazione dei Farmaci, Istituto Superiore di Sanità, Rome, Italy
| | | | - Fiammetta Landoni
- Direzione Generale della Prevenzione Sanitaria, Ministero della Salute, Rome, Italy
| | - Liliana La Sala
- Direzione Generale della Prevenzione Sanitaria, Ministero della Salute, Rome, Italy
| | | | - Nicola Vanacore
- Centro Nazionale per la Prevenzione delle Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
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Corrao G, Barbato A, D’Avanzo B, Di Fiandra T, Ferrara L, Gaddini A, Monzio Compagnoni M, Saponaro A, Scondotto S, Tozzi VD, Carle F, Lora A. Does the mental health system provide effective coverage to people with schizophrenic disorder? A self-controlled case series study in Italy. Soc Psychiatry Psychiatr Epidemiol 2022; 57:519-529. [PMID: 34132836 PMCID: PMC8934324 DOI: 10.1007/s00127-021-02114-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 06/02/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE To measure indicators of timeliness and continuity of treatments on patients with schizophrenic disorder in 'real-life' practice, and to validate them through their relationship with relapse occurrences. METHODS The target population was from four Italian regions overall covering 22 million beneficiaries of the NHS (37% of the entire Italian population). The cohort included 12,054 patients newly taken into care for schizophrenic disorder between January 2015 and June 2016. The self-controlled case series (SCCS) design was used to estimate the incidence rate ratio of relapse occurrences according to mental healthcare coverage. RESULTS Poor timeliness (82% and 33% of cohort members had not yet started treatment with psychosocial interventions and antipsychotic drug therapy within the first year after they were taken into care) and continuity (27% and 23% of patients were persistent with psychosocial interventions, and antipsychotic drug therapy within the first 2 years after starting the specific treatment) were observed. According to SCCS design, 4794 relapses occurred during 9430 PY (with incidence rate of 50.8 every 100 PY). Compared with periods not covered by mental healthcare, those covered by psychosocial intervention alone, antipsychotic drugs alone and by psychosocial intervention and antipsychotic drugs together were, respectively, associated with relapse rate reductions of 28% (95% CI 4-46%), 24% (17-30%) and 44% (32-53%). CONCLUSION Healthcare administrative data may contribute to monitor and to assess the effectiveness of a mental health system. Persistent use of both psychosocial intervention and antipsychotic drugs reduces risk of severe relapse.
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Affiliation(s)
- Giovanni Corrao
- grid.7563.70000 0001 2174 1754National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy ,grid.7563.70000 0001 2174 1754Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, 20126 Milan, Italy
| | - Angelo Barbato
- Unit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Barbara D’Avanzo
- Unit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Teresa Di Fiandra
- grid.415788.70000 0004 1756 9674General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | - Lucia Ferrara
- grid.7945.f0000 0001 2165 6939Centre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, Milan, Italy
| | | | - Matteo Monzio Compagnoni
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy. .,Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Street Bicocca degli Arcimboldi, 8, Building U7, 20126, Milan, Italy.
| | - Alessio Saponaro
- General Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy
| | - Salvatore Scondotto
- grid.7563.70000 0001 2174 1754National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy ,Department of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy
| | - Valeria D. Tozzi
- grid.7945.f0000 0001 2165 6939Centre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, Milan, Italy
| | - Flavia Carle
- grid.7563.70000 0001 2174 1754National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy ,grid.7010.60000 0001 1017 3210Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Antonio Lora
- grid.7563.70000 0001 2174 1754National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy ,Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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Corrao G, Monzio Compagnoni M, Barbato A, D'Avanzo B, Di Fiandra T, Ferrara L, Gaddini A, Saponaro A, Scondotto S, Tozzi VD, Carle F, Carbone S, Chisholm DH, Lora A. From contact coverage to effective coverage of community care for patients with severe mental disorders: A real-world investigation from Italy. Front Psychiatry 2022; 13:1014193. [PMID: 36523868 PMCID: PMC9744794 DOI: 10.3389/fpsyt.2022.1014193] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/14/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES To measure the gap between contact and effective coverage of mental healthcare (MHC). MATERIALS AND METHODS 45,761 newly referred cases of depression, schizophrenia, bipolar disorder, and personality disorder from four Italian regions were included. A variant of the self-controlled case series method was adopted to estimate the incidence rate ratio (IRR) for the relationship between exposure (i.e., use of different types of MHC such as pharmacotherapy, generic contact with the outpatient services, psychosocial intervention, and psychotherapy) and relapse (emergency hospital admissions for mental illness). RESULTS 11,500 relapses occurred. Relapse risk was reduced during periods covered by (i) psychotherapy for patients with depression (IRR 0.67; 95% CI: 0.49 to 0.91) and bipolar disorder (0.64; 0.29 to 0.99); (ii) psychosocial interventions for those with depression (0.74; 0.56 to 0.98), schizophrenia (0.83; 0.68 to 0.99), and bipolar disorder (0.55; 0.36 to 0.84), (iii) pharmacotherapy for patients with schizophrenia (0.58; 0.49 to 0.69), and bipolar disorder (0.59; 0.44 to 0.78). Coverage with generic care, in absence of psychosocial/psychotherapeutic interventions, did not affect risk of relapse. CONCLUSION This study ascertained the gap between contact and effective coverage of MHC and showed that administrative data can usefully contribute to assess the effectiveness of a mental health system.
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Affiliation(s)
- Giovanni Corrao
- National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.,Unit of Biostatistics, Epidemiology, and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Matteo Monzio Compagnoni
- National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.,Unit of Biostatistics, Epidemiology, and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Angelo Barbato
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Barbara D'Avanzo
- Department of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Teresa Di Fiandra
- Previously General Directorate for Health Prevention, Italian Health Ministry, Rome, Italy
| | - Lucia Ferrara
- Center of Research on Health and Social Care Management, SDA Bocconi School of Management (Bocconi University), Milan, Italy
| | | | - Alessio Saponaro
- General Directorate of Health and Social Policies, Bologna, Italy
| | - Salvatore Scondotto
- National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.,Department of Health Services and Epidemiological Observatory, Regional Health Authority, Palermo, Italy
| | - Valeria D Tozzi
- Center of Research on Health and Social Care Management, SDA Bocconi School of Management (Bocconi University), Milan, Italy
| | - Flavia Carle
- National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.,Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Simona Carbone
- Department of Health Planning, Italian Health Ministry, Rome, Italy
| | - Daniel H Chisholm
- Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
| | - Antonio Lora
- National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.,Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy
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Canevelli M, Bacigalupo I, Remoli G, Salvi E, Di Fiandra T, Vanacore N. COVID-19 and dementia: Recommendations from the Italian dementia national plan working group. J Neurol Sci 2021. [PMCID: PMC8498360 DOI: 10.1016/j.jns.2021.119886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Canevelli M, Di Pucchio A, Marzolini F, Mayer F, Massari M, Salvi E, Palazzesi I, Lacorte E, Bacigalupo I, Di Fiandra T, Vanacore N. A National Survey of Centers for Cognitive Disorders and Dementias in Italy. J Alzheimers Dis 2021; 83:1849-1857. [PMID: 34459403 PMCID: PMC8609685 DOI: 10.3233/jad-210634] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Italy has one of the oldest populations in the World and more than one million dementia cases can be estimated at the national level. OBJECTIVE The objectives of this national survey include: 1) to report the administrative features and the professional competencies of Centers for Cognitive Disorders and Dementias (CCDDs); 2) to document possible discrepancies by geographic macro-area; and 3) to identify the features of CCDDs that are associated with a better quality in the provision of care. METHODS A survey of Italian CCDDs was conducted between February 2014 and December 2015. A list of CCDDs was obtained through direct interactions with designed delegates from each Italian region. A questionnaire was defined on five sections concerning: 1) location of the CCDD; 2) access to the CCDD; 3) organization of the CCDD; 4) services and treatments provided; and 5) quantitative data on the activities of the CCDD. RESULTS Overall, 577 out of the 597 eligible CCDDs returned the completed survey questionnaire (response rate: 96.6%): 260 (45.1%) from Northern Italy, 103 (17.8%) from Central Italy, and 214 (37.1%) from Southern-Islands Italy. More than a third of CCDDs were open only once or twice weekly. A median of 450 (IQR: 200-800) patients regularly attended these services. Most patients (70%) were affected by dementia or mild cognitive impairment (19%). CONCLUSION We have provided a snapshot of the organization and activities of CCDDs in Italy and documented existing inequalities in the provision of care.
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Affiliation(s)
- Marco Canevelli
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Alessandra Di Pucchio
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Fabrizio Marzolini
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Flavia Mayer
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Marco Massari
- National Center for Drug Research and Evaluation, Italian National Institute of Health, Rome, Italy
| | - Emanuela Salvi
- National Center for Drug Research and Evaluation, Italian National Institute of Health, Rome, Italy
| | - Ilaria Palazzesi
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Eleonora Lacorte
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Ilaria Bacigalupo
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | | | - Nicola Vanacore
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
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Corrao G, Rea F, Carle F, Di Martino M, De Palma R, Francesconi P, Lepore V, Merlino L, Scondotto S, Garau D, Spazzafumo L, Montagano G, Clagnan E, Martini N, Bucci A, Carle F, Dajko M, Arcà S, Bellentani D, Bruno V, Carbone S, Ceccolini C, De Feo A, Lispi L, Mariniello R, Masullo M, Medici F, Pisanti P, Visca M, Zanini R, Di Fiandra T, Magliocchetti N, Romano G, Cantarutti A, Corrao G, Pugni P, Rea F, Davoli M, Fusco D, Di Martino M, Lallo A, Marinacci C, Maggioni A, Vittori P, Belotti L, De Palma R, Di Felice E, Chiandetti R, Clagnan E, Del Zotto S, Di Lenarda A, Mariotto A, Zanier L, Agnello M, Lora A, Merlino L, Scirè CA, Sechi G, Spazzafumo L, Massaro G, Simiele M, Cosentino M, Marvulli MG, Attolini E, Bisceglia L, Lepore V, Petrarolo V, Dondi L, Martini N, Pedrini A, Piccinni C, Fantaci G, Addario SP, Scondotto S, Bellomo F, Braga M, Di Fabrizio V, Forni S, Francesconi P, Profili F, Avossa F, Corradin M, Bucci A, Carle F, Dajko M, Arcà S, Bellentani D, Bruno V, Carbone S, Ceccolini C, De Feo A, Lispi L, Mariniello R, Masullo M, Medici F, Pisanti P, Visca M, Zanini R, Di Fiandra T, Magliocchetti N, Romano G, Cantarutti A, Corrao G, Pugni P, Rea F, Davoli M, Fusco D, Di Martino M, Lallo A, Marinacci C, Maggioni A, Vittori P, Belotti L, De Palma R, Di Felice E, Chiandetti R, Clagnan E, Del Zotto S, Di Lenarda A, Mariotto A, Zanier L, Agnello M, Lora A, Merlino L, Scirè CA, Sechi G, Spazzafumo L, Massaro G, Simiele M, Cosentino M, Marvulli MG, Attolini E, Bisceglia L, Lepore V, Petrarolo V, Dondi L, Martini N, Pedrini A, Piccinni C, Fantaci G, Addario SP, Scondotto S, Bellomo F, Braga M, Di Fabrizio V, Forni S, Francesconi P, Profili F, Avossa F, Corradin M. Measuring multimorbidity inequality across Italy through the multisource comorbidity score: a nationwide study. Eur J Public Health 2020; 30:916-921. [DOI: 10.1093/eurpub/ckaa063] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Multimorbidity is a growing concern for healthcare systems, with many countries experiencing demographic transition to older population profiles. A simple multisource comorbidity score (MCS) has been recently developed and validated. A very large real-world investigation was conducted with the aim of measuring inequalities in the MCS distribution across Italy.
Methods
Beneficiaries of the Italian National Health Service aged 50–85 years who in 2018 were resident in one of the 10 participant regions formed the study population (15.7 million of the 24.9 million overall resident in Italy). MCS was assigned to each beneficiary by categorizing the individual sum of the comorbid values (i.e. the weights corresponding to the comorbid conditions of which the individual suffered) into one of the six categories denoting a progressive worsening comorbidity status. MCS distributions in women and men across geographic partitions were compared.
Results
Compared with beneficiaries from northern Italy, those from centre and south showed worse comorbidity profile for both women and men. MCS median age (i.e. the age above which half of the beneficiaries suffered at least one comorbidity) ranged from 60 (centre and south) to 68 years (north) in women and from 63 (centre and south) to 68 years (north) in men. The percentage of comorbid population was lower than 50% for northern population, whereas it was around 60% for central and southern ones.
Conclusion
MCS allowed of capturing geographic variability of multimorbidity prevalence, thus showing up its value for addressing health policy in order to guide national health planning.
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Affiliation(s)
- Giovanni Corrao
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Federico Rea
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Flavia Carle
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Mirko Di Martino
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Rossana De Palma
- Authority for Healthcare and Welfare, Emilia Romagna Regional Health Service, Bologna, Italy
| | - Paolo Francesconi
- Regional Health Agency of Tuscany (Agenzia regionale di sanità), Florence, Italy
| | - Vito Lepore
- Regional Health Agency of Puglia (Agenzia regionale socio-sanitaria), Bari, Italy
| | - Luca Merlino
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Epidemiologic Observatory, Lombardy Regional Health Service, Milan, Italy
| | | | - Donatella Garau
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Regional Councillorship of Health ‘Regione Autonoma della Sardegna’, Cagliari, Italy
| | - Liana Spazzafumo
- Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
- Biostatistics Centre, INRCA-IRCCS National Institute, Ancona, Italy
| | | | - Elena Clagnan
- Regional Health Agency of Friuli-Venezia-Giulia (Azienda Regionale di Coordinamento per la Salute), Udine, Italy
| | - Nello Martini
- Research and Health Foundation (Fondazione ReS-Ricerca e Salute), Bologna, Italy
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Gervasi G, Bellomo G, Mayer F, Zaccaria V, Bacigalupo I, Lacorte E, Canevelli M, Corbo M, Di Fiandra T, Vanacore N. Integrated care pathways on dementia in Italy: a survey testing the compliance with a national guidance. Neurol Sci 2019; 41:917-924. [PMID: 31836948 PMCID: PMC7160089 DOI: 10.1007/s10072-019-04184-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 11/29/2019] [Indexed: 11/05/2022]
Abstract
Dementias are chronic, degenerative neurological disorders with a complex management that require the cooperation of different healthcare professionals. The Italian Ministry of Health produced the document “Guidance on Integrated Care pathway for People with Dementia” (GICPD) with the specific objective of providing a standardized framework for the definition, development, and implementation of integrated care pathways (ICP) dedicated to people with dementia. We searched all available Italian territorial ICPs. Two raters assessed the retrieved ICPs with a 2-point scale on a 43-item checklist based on the GICPD. Only 5 out of 21 regions and 5 out of 101 local health authorities had an ICP, with most ICPs having a moderate compliance to the GICPD, in particular for the items referring to the development and implementation of the care pathways. A low to moderate inter-rater agreement was observed, mainly due to a lack of standardized models to describe ICPs for dementias. Results suggest that policy- and decision-makers should pay more attention to the GICPD when producing ICPs. The direct communication with clinicians, and the implementation of more precise and appropriate clinical outcomes, could increase the involvement of clinicians, whose participation is crucial to guarantee that ICPs meet needs of patients and their carers.
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Affiliation(s)
- Giuseppe Gervasi
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy.,Department of Biomedicine and Prevention, Hygiene and Preventive Medicine School, University of Rome Tor Vergata, Rome, Italy
| | - Guido Bellomo
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy
| | - Flavia Mayer
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy
| | - Valerio Zaccaria
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy
| | - Ilaria Bacigalupo
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy
| | - Eleonora Lacorte
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy
| | - Marco Canevelli
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy.,Department of Human Neuroscience "Sapienza", University of Rome, Rome, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa Cura Policlinico, Via Dezza 48, 20144, Milan, Italy
| | - Teresa Di Fiandra
- General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | - Nicola Vanacore
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Via Giano della Bella no. 34, 00162, Rome, Italy.
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Stasi C, Monnini M, Cellesi V, Salvadori M, Marri D, Ameglio M, Gabbuti A, Di Fiandra T, Voller F, Silvestri C. Screening for hepatitis B virus and accelerated vaccination schedule in prison: A pilot multicenter study. Vaccine 2019; 37:1412-1417. [PMID: 30733091 DOI: 10.1016/j.vaccine.2019.01.049] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/23/2019] [Accepted: 01/28/2019] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIM Vaccine against hepatitis B virus (HBV) is highly effective in preventing HBV infection. The aims of this study were to (1) increase the epidemiological knowledge on the impact of HBV in Tuscany region prisons by registering the results of serum screening on a clinical medical record and (2) increase the anti-HBV vaccination using an accelerated schedule. METHODS Our study population was composed of all detainees present in prisons and all constrained from freedom or at institutions in the Tuscany region and not vaccinated at these facilities from 1 December 2016 to 31 May 2017. RESULTS Of 17 detention facilities in the Tuscany region, 15 were enrolled in the study. On 28 February 2017, there were 3068 detainees present in these institutions. Considering the 1075 subjects screened for HBV serum markers, 730 (67.9%) were susceptible to infection and needed to be vaccinated. Five hundred and ninety-six agreed to be vaccinated (82%); 27 (2.5%) of our subjects had an isolated anti-HBc, 20 (1.9%) were HBV infected (HBsAg+), 127 (11.8%) had previous HBV infection (anti-HBs+, anti-HBc+ and HBsAg-), and 171 had been previously vaccinated. Five hundred and fifty-five inmates (95.1%) received the first vaccine dose, and 404 (83%) underwent the third dose at day 21. CONCLUSION This study showed that of a high percentage of subjects who underwent screening, more than half needed to be vaccinated. Moreover, our study reached very high levels of vaccination coverage, considering both the entire enrolled population and the new inmates.
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Affiliation(s)
- Cristina Stasi
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
| | - Mirko Monnini
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Valerio Cellesi
- Prison Healthcare of Volterra, Local Healthcare Tuscany North West, Volterra, Italy
| | - Marco Salvadori
- "Sollicciano" District House, Local Healthcare Tuscany Centre, Florence, Italy
| | - Daniele Marri
- Infectious Diseases and Hepatology Unit, University Hospital of Siena, Siena, Italy
| | - Mateo Ameglio
- Departmental Operational Units in Prison, Local Healthcare Tuscany Southest, Colle Val D'Elsa, Siena, Italy
| | - Andrea Gabbuti
- Infectious Diseases Unit, Local Healthcare Tuscany Centre, Firenze, Italy
| | - Teresa Di Fiandra
- General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | - Fabio Voller
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Caterina Silvestri
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
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Csillag C, Nordentoft M, Mizuno M, McDaid D, Arango C, Smith J, Lora A, Verma S, Di Fiandra T, Jones PB. Early intervention in psychosis: From clinical intervention to health system implementation. Early Interv Psychiatry 2018; 12:757-764. [PMID: 29143456 DOI: 10.1111/eip.12514] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 09/06/2017] [Accepted: 09/13/2017] [Indexed: 12/20/2022]
Abstract
AIM Early intervention in psychosis (EIP) is a well-established approach with the intention of early detection and treatment of psychotic disorders. Its clinical and economic benefits are well documented. This paper presents basic aspects of EIP services, discusses challenges to their implementation and presents ideas and strategies to overcome some of these obstacles. METHODS This paper is a narrative review about the evidence supporting EIP, with examples of successful implementation of EIP and of cases where major obstacles still need to be overcome. RESULTS Experience from successfully implemented EIP services into the mental healthcare system have generated evidence, concepts and specific strategies that might serve as guidance or inspiration in other countries or systems where EIP is less well developed or not developed at all. Previous experience has made clear that evidence of clinical benefits alone is not enough to promote implementation, as economic arguments and political and social pressure have shown to be important elements in efforts to achieve implementation. CONCLUSIONS Users' narratives, close collaboration with community organizations and support from policy-makers and known people within the community championing early intervention (EI) services are just a few of the approaches that should be considered in campaigns for implementation of EI services. Fast progress in implementation is possible.
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Affiliation(s)
- Claudio Csillag
- Mental Health Centre North Zealand, University of Copenhagen, Hilleroed, Denmark
| | | | - Masafumi Mizuno
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - David McDaid
- Personal Social Services Research Unit, Department of Health Policy, London School of Economics and Political Science, London, UK
| | - Celso Arango
- Hospital General Universitario Gregorio Marañón, Universidad Complutense, School of Medicine, CIBERSAM, IiSGM, Madrid, Spain
| | - Jo Smith
- Institute of Health and Society, University of Worcester, Worcester, UK
| | | | - Swapna Verma
- Department of Early Psychosis Intervention, Institute of Mental Health, Singapore, Singapore
| | | | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
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16
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Di Pucchio A, Di Fiandra T, Marzolini F, Lacorte E, Vanacore N. Survey of health and social-health services for people with dementia: methodology of the Italian national project. Ann Ist Super Sanita 2018; 53:246-252. [PMID: 28956805 DOI: 10.4415/ann_17_03_11] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
People with dementia have special assistance needs. Worldwide problem is to ensure access to quality health services. Our study supported by the Italian Ministry of Health reports methodology features of a large survey project conducted to identify and to collect information on health and social health services for people with dementia in Italy. Among all Italian regions, about two thousand services available to individuals with dementia disease and their caregivers were identified. These services included memory clinics, daycare centers and residential care facilities, totally or partially covered by the public healthcare service. A survey questionnaire was designed to collect information and a web-platform system was developed to manage data from all services. Of great importance, the web-platform is capable to display surveyed services as an on-line map regularly updated and easily accessible from the Dementia Observatory website (www.iss.it/demenza).
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Affiliation(s)
- Alessandra Di Pucchio
- Centro Nazionale Prevenzione delle Malattie e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | | | - Fabrizio Marzolini
- Centro Nazionale Prevenzione delle Malattie e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Eleonora Lacorte
- Centro Nazionale Prevenzione delle Malattie e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | | | - Nicola Vanacore
- Centro Nazionale Prevenzione delle Malattie e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
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17
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Di Pucchio A, Vanacore N, Marzolini F, Lacorte E, Di Fiandra T, Gasparini M. Use of neuropsychological tests for the diagnosis of dementia: a survey of Italian memory clinics. BMJ Open 2018; 8:e017847. [PMID: 29599390 PMCID: PMC5875680 DOI: 10.1136/bmjopen-2017-017847] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 11/25/2017] [Accepted: 11/27/2017] [Indexed: 11/04/2022] Open
Abstract
AIM Providing an overview of the neuropsychological tests used in Italian memory clinics (defined as Centers for Cognitive Disorders and Dementias-CCDD in Italy) for the diagnosis of cognitive disorders and dementias. METHODS A total of 501 CCDD, out of all 536 active CCDD, were surveyed between February 2014 and August 2015 to verify the characteristics of the centres who performed a comprehensive neuropsychological assessment (NPA), defined as the administration of at least one test for verbal and visual episodic memory, attention, constructional praxis, verbal fluency and executive functions (minimum core tests-MCTs), as part of the diagnostic process. RESULTS A total of 45.7% of Italian CCDD performed a comprehensive MCT as part of the diagnostic process. The logistic regression model showed that the probability of including at least one psychologist in the team was higher in the CCDD that reported using a comprehensive NPA (OR 4.55; 95% CI 2.92 to 7.1), that CCDD in Southern Italy had a lower probability of using an MCT (OR 0.56; 95% CI 0.35 to 0.89) and that the use of an MCT was higher in university/Institute for Scientific Research and Healthcare CCDD (OR 10.97; 95% CI 3.85 to 31.25). CONCLUSION Almost half of the CCDD administered a set of MCTs; while the remaining centres only performed few tests or screening procedures. The neuropsychological tests used in Italian CCDD were comparable with those used in other European countries. Performing a comprehensive NPA remains the best way to assess and monitor cognitive deficits over time, thus further debate on the current status of NPAs in clinical practice is needed.
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Affiliation(s)
- Alessandra Di Pucchio
- National Centre for Disease Prevention and Health Promotion, National Institutes of Health, Rome, Italy
| | - Nicola Vanacore
- National Centre for Disease Prevention and Health Promotion, National Institutes of Health, Rome, Italy
| | - Fabrizio Marzolini
- National Centre for Disease Prevention and Health Promotion, National Institutes of Health, Rome, Italy
| | - Eleonora Lacorte
- National Centre for Disease Prevention and Health Promotion, National Institutes of Health, Rome, Italy
| | | | | | - Marina Gasparini
- Department of Neurology and Psychiatry, Sapienza University, Rome, Italy
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18
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Mayer F, Di Pucchio A, Lacorte E, Bacigalupo I, Marzolini F, Ferrante G, Minardi V, Masocco M, Canevelli M, Di Fiandra T, Vanacore N. An Estimate of Attributable Cases of Alzheimer Disease and Vascular Dementia due to Modifiable Risk Factors: The Impact of Primary Prevention in Europe and in Italy. Dement Geriatr Cogn Dis Extra 2018; 8:60-71. [PMID: 29606955 PMCID: PMC5869579 DOI: 10.1159/000487079] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 01/21/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Up to 53.7% of all cases of dementia are assumed to be due to Alzheimer disease (AD), while 15.8% are considered to be due to vascular dementia (VaD). In Europe, about 3 million cases of AD could be due to 7 potentially modifiable risk factors: diabetes, midlife hypertension and/or obesity, physical inactivity, depression, smoking, and low educational level. AIMS To estimate the number of VaD cases in Europe and the number of AD and VaD cases in Italy attributable to these 7 potentially modifiable risk factors. METHODS Assuming the nonindependence of the 7 risk factors, the adjusted combined population attributable risk (PAR) was estimated for AD and VaD. RESULTS In Europe, adjusted combined PAR was 31.4% for AD and 37.8% for VaD. The total number of attributable cases was 3,033,000 for AD and 873,000 for VaD. In Italy, assuming a 20% reduction of the prevalence of each risk factor, adjusted combined PAR decreased from 45.2 to 38.9% for AD and from 53.1 to 46.6% for VaD, implying a 6.4 and 6.5% reduction in the prevalence of AD and VaD, respectively. CONCLUSION A relevant reduction of AD and VaD cases in Europe and Italy could be obtained through primary prevention.
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Affiliation(s)
- Flavia Mayer
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Alessandra Di Pucchio
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Eleonora Lacorte
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Ilaria Bacigalupo
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Fabrizio Marzolini
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Gianluigi Ferrante
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Valentina Minardi
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Maria Masocco
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Marco Canevelli
- Department of Human Neuroscience “Sapienza” University of Rome, Rome, Italy
| | | | - Nicola Vanacore
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
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19
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Bacigalupo I, Mayer F, Lacorte E, Di Pucchio A, Marzolini F, Canevelli M, Di Fiandra T, Vanacore N. A Systematic Review and Meta-Analysis on the Prevalence of Dementia in Europe: Estimates from the Highest-Quality Studies Adopting the DSM IV Diagnostic Criteria. J Alzheimers Dis 2018; 66:1471-1481. [PMID: 30412486 PMCID: PMC6294583 DOI: 10.3233/jad-180416] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND Dementia, including Alzheimer's disease (AD), is one of the most burdensome medical conditions. Usually, the reviews that aim at calculating the prevalence of dementia include estimates from studies without assessing their methodological quality. Alzheimer's Disease International (ADI) proposed a score to assess the methodological quality of population-based studies aimed at estimating the prevalence of dementia. During the last three years, the European Commission has funded three projects (Eurodem, EuroCoDe, and ALCOVE) in order to estimate the prevalence of dementia in Europe. OBJECTIVE The aim of this study was to perform a systematic review and meta-analysis of data on the prevalence of dementia in Europe derived from studies that included only subjects with a diagnosis of dementia according to the DSM IV criteria, and that had a high quality score according to ADI criteria. METHODS We considered the studies selected by the two projects EuroCoDe (1993-2007) and Alcove (2008-2011), and we performed a new bibliographic search. For the systematic review, we only selected the subset of articles that included subjects with a diagnosis of dementia according to the DSM IV criteria. The studies were qualitatively assessed using the ADI tool. RESULTS The meta-analysis considered 9 studies that were carried out in Europe between 1993 and 2018 including a total of 18,263 participants, of which 2,137 were diagnosed with dementia. The prevalence rate standardized for age and sex resulted 7.1%. DISCUSSION This is the first systematic review on the prevalence of dementia in Europe considering only high-quality studies adopting the same diagnostic criteria (i.e., DSM IV).
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Affiliation(s)
- Ilaria Bacigalupo
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Flavia Mayer
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Eleonora Lacorte
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Alessandra Di Pucchio
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Fabrizio Marzolini
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Marco Canevelli
- Department of Human Neuroscience “Sapienza” University of Rome, Rome, Italy
| | - Teresa Di Fiandra
- General Directorate for Health Prevention, Ministry of Health, Rome, Italy
| | - Nicola Vanacore
- National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
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20
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Di Fiandra T, Canevelli M, Di Pucchio A, Vanacore N. The Italian Dementia National Plan. Commentary. Ann Ist Super Sanita 2017; 51:261-4. [PMID: 26783209 DOI: 10.4415/ann_15_04_02] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The Italian Dementia National Plan was formulated in October 2014 by the Italian Ministry of Health in close cooperation with the regions, the National Institute of Health and the three major national associations of patients and carers. The main purpose of this strategy was to provide directive indications for promoting and improving interventions in the dementia field, not limiting to specialist and therapeutic actions, but particularly focusing on the support of patients and families throughout the pathways of care. Four main objectives are indicated: 1) promote health- and social-care interventions and policies; 2) create/strengthen the integrated network of services for dementia based on an integrated approach; 3) implement strategies for promoting appropriateness and quality of care; and 4) improve the quality of life of persons with dementia and their families by supporting empowerment and stigma reduction. These objectives and the pertaining actions are described in the present paper.
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Affiliation(s)
- Teresa Di Fiandra
- Direzione Generale della Prevenzione, Ministero della Salute, Rome, Italy
| | - Marco Canevelli
- Clinica della Memoria, Dipartimento di Neurologia e Psichiatria, Sapienza Università di Roma, Rome, Italy
| | - Alessandra Di Pucchio
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Nicola Vanacore
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
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21
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Voller F, Silvestri C, Martino G, Fanti E, Bazzerla G, Ferrari F, Grignani M, Libianchi S, Pagano AM, Scarpa F, Stasi C, Di Fiandra T. Health conditions of inmates in Italy. BMC Public Health 2016; 16:1162. [PMID: 27852256 PMCID: PMC5112742 DOI: 10.1186/s12889-016-3830-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 11/10/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Several studies have shown that prison is characterized by a higher prevalence of chronic diseases than unconfined settings. The aim of this study was to describe the characteristics and health of inmates, focusing on internal diseases. METHODS We designed a specific clinical record using the Python programming language. We considered all of the diagnoses according to the ICD-9-CM. RESULTS Of a total of 17,086 inmates, 15,751 were enrolled in our study (M = 14,835; F = 869), corresponding to 92.2% of the entire inmate population (mean age of 39.6 years). The project involved a total of 57 detention facilities in six Italian regions (for a total of 28% of all detainees in Italy), as counted in a census taken on February 3, 2014. From the entire study sample, 32.5% of prisoners did not present any disorders, while 67.5% suffered from at least one disease. The most frequent pathologies were psychiatric (41.3%), digestive (14.5%), infectious (11.5%), cardiovascular (11.4%), endocrine, metabolic, and immune (8.6%), and respiratory (5.4%). CONCLUSION The findings showed that a large number of detainees were affected by several chronic conditions such as hypertension, dyslipidemia and type 2 diabetes mellitus, with an unusually high prevalence for such a young population. Therefore, a series of preventive measures is recommended to strengthen the entire care process and improve the health and living conditions of prisoners.
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Affiliation(s)
- Fabio Voller
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Caterina Silvestri
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Gianrocco Martino
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Eleonora Fanti
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Giorgio Bazzerla
- Primary Care Unit, District North, Local Social and Health Care Units, Treviso, Italy
| | - Fabio Ferrari
- Disabled Health Service "Spezzino", National Healthcare Company, La Spezia, Italy
| | - Marco Grignani
- Department of Mental Health, Healthcare Company of Umbria, Perugia, Italy
| | - Sandro Libianchi
- Medical House Unit in prison and the third House of Rebibbia, Rome, Italy
| | - Antonio Maria Pagano
- Unit for the Overcoming of the Judicial Psychiatric Hospitals and for Mental Health in Prisons, Local Health Salerno, Salerno, Italy
| | | | - Cristina Stasi
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy. .,Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
| | - Teresa Di Fiandra
- General Directorate for Health Prevention, Ministry of Health, Rome, Italy
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22
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Stasi C, Silvestri C, Fanti E, Di Fiandra T, Voller F. Prevalence and features of chronic viral hepatitis and HIV coinfection in Italian prisons. Eur J Intern Med 2016; 34:e21-e22. [PMID: 27189044 DOI: 10.1016/j.ejim.2016.04.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 04/20/2016] [Accepted: 04/27/2016] [Indexed: 10/21/2022]
Affiliation(s)
- Cristina Stasi
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
| | - Caterina Silvestri
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Eleonora Fanti
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
| | - Teresa Di Fiandra
- Directorate General for Health Prevention, Ministry of Health, Rome, Italy
| | - Fabio Voller
- Observatory of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy
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Mossello E, Profili F, Di Bari M, Bandinelli S, Razzanelli M, Salvioni A, Corridori C, Di Fiandra T, Francesconi P. Postal screening can identify frailty and predict poor outcomes in older adults: longitudinal data from INTER-FRAIL study. Age Ageing 2016; 45:469-74. [PMID: 27013497 DOI: 10.1093/ageing/afw048] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 01/11/2016] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE identification of older individuals at risk for health-related adverse outcomes (HRAO) is necessary for population-based preventive interventions. Aim of this study was to improve a previously validated postal screening questionnaire for frailty in non-disabled older subjects and to test its prognostic validity in a vast sample of older community-dwellers. METHODS individuals aged 70+ underwent a mass postal screening. Physical frailty phenotype (PFP) was assessed in the unselected subsample of the first responders. After a 1-year follow-up, HRAO were recorded in the whole sample, including survival, access to Emergency Department, hospitalisation and Long-Term Care admission. RESULTS the questionnaire was mailed to 17,273 subjects, whose response rate was 55%. Among the first 1,037 responders without overt disability, the revised questionnaire was 75% sensitive and 69% specific for PFP (ROC 0.772). Non-disabled subjects who screened positive had a higher risk of HRAO in comparison with those who screened negative and similar to non-responders. Risk of adverse outcome was highest among disabled subjects. CONCLUSIONS a simple questionnaire delivered by mail has good accuracy in detecting PFP in non-disabled older subjects and is able to predict HRAO.
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Affiliation(s)
- Enrico Mossello
- Research Unit of Medicine of Ageing, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Francesco Profili
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità della Toscana, Florence, Italy
| | - Mauro Di Bari
- Research Unit of Medicine of Ageing, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Stefania Bandinelli
- Division of Geriatric Medicine, Azienda Sanitaria di Firenze, Florence, Italy
| | - Matilde Razzanelli
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità della Toscana, Florence, Italy
| | - Anna Salvioni
- Fiorentina Sud-Est Health District, Azienda Sanitaria di Firenze, Florence, Italy
| | - Carla Corridori
- Valdichiana Senese Health District, Unità Funzionale Segretariato Sociale, Azienda USL 7, Siena, Italy
| | - Teresa Di Fiandra
- Directorate General for Prevention, Italian Ministry of Health, Rome, Italy
| | - Paolo Francesconi
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità della Toscana, Florence, Italy
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Carta MG, Fiandra TD, Rampazzo L, Contu P, Preti A. An Overview of International Literature on School Interventions to Promote Mental Health and Well-being in Children and Adolescents. Clin Pract Epidemiol Ment Health 2015; 11:16-20. [PMID: 25834625 PMCID: PMC4378068 DOI: 10.2174/1745017901511010016] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Revised: 10/01/2014] [Accepted: 10/05/2014] [Indexed: 05/16/2023]
Abstract
INTRODUCTION Mental disorders are the largest cause of the burden of disease in the world. Most of the burden affecting adult life has its onset during childhood and adolescence. The European Pact for Mental Health and Wellbeing calls for immediate action and investments in the mental health of children and adolescents. Schools may be the ideal location for promoting health and delivering healthcare services, since schools are a location where young people usually spend their daytime and socialize, schools are easily accessible to families, can provide non-stigmatizing health actions, and form links with the community. Aims and Goals of this Special Issue: This issue is developed within the framework of the Joint Action on Mental Health promoted by the European Commission. This special issue presents a set of systematic reviews on the evidence of the international literature on school interventions for the promotion of the mental health and wellbeing of children and adolescents. It is focused on five topical main areas: promoting general health and wellbeing; programs targeting specific mental disorders and conditions and integration of adolescents with mental health problems; Bullying; Sport; Alcohol and Drugs. An additional paper on the results of the largest epidemiological study conducted in some European countries on the prevalence and relative risk factors of mental disorders in school-age completes the issue. CONCLUSION These reviews are a first contribution to address future European research and interventions, in particular about the multiple ways through which European policies could support the schooling and wellbeing of children and adolescents.
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Affiliation(s)
- Mauro Giovanni Carta
- Centro di Psichiatria di Consultazione e Psicosomatica, University Hospital, Cagliari, Italy
- Department of Public Health and Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Address correspondence to this author at the Centro di Psichiatria di Consultazione e Psicosomatica, University Hospital, Cagliari, Italy: Tel: +39/070/6093495; E-mail
| | - Teresa Di Fiandra
- Regione Veneto, Italy This work was supported by Italian Collaborating Unit of the VII work package of the European Joint Action on Mental Health
| | - Lorenzo Rampazzo
- talian Ministry of Health This work was supported by Italian Collaborating Unit of the VII work package of the European Joint Action on Mental Health
| | - Paolo Contu
- Centro di Psichiatria di Consultazione e Psicosomatica, University Hospital, Cagliari, Italy
| | - Antonio Preti
- Centro di Psichiatria di Consultazione e Psicosomatica, University Hospital, Cagliari, Italy
- Department of Public Health and Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
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Di Bari M, Profili F, Bandinelli S, Salvioni A, Mossello E, Corridori C, Razzanelli M, Di Fiandra T, Francesconi P. Screening for frailty in older adults using a postal questionnaire: rationale, methods, and instruments validation of the INTER-FRAIL study. J Am Geriatr Soc 2014; 62:1933-7. [PMID: 25283959 DOI: 10.1111/jgs.13029] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To develop and test a postal screening questionnaire to intercept frailty in older community-dwelling individuals. DESIGN A questionnaire was developed on the basis of expert consensus and preliminarily tested against the occurrence of incident disability, in secondary analyses of previous epidemiological studies. The questionnaire was then mailed and its concurrent validity, defined from the association between its individual items and summary score and the presence of the Fried frailty phenotype (FFP), was subsequently evaluated cross-sectionally with in-person examination of initial participants. SETTING Community-based. PARTICIPANTS Individuals aged 70 and older living in two communities near Florence, Italy. MEASUREMENTS A home comprehensive geriatric assessment including the FFP was conducted in participants who screened positive for frailty and in a limited sample of negative responders. RESULTS A 10-item questionnaire, developed based on expert consensus, was preliminarily tested on preexisting epidemiological data and showed an area under the receiver operating characteristic curve (AUC) of 0.716 versus incident disability. The questionnaire was then mailed to 15,774 subjects, whose response rate was 53.6%. Of the first 1,037 participants included in the concurrent validation study, 833 (80.3%) screened positive, and 380 (36.6%) were frail on assessment. The ability of the questionnaire summary score to predict frailty was adequate, with an AUC of 0.695, a sensitivity of 71%, and a specificity of 58%. CONCLUSION A simple questionnaire delivered by mail was able to identify FFP in the community. This would facilitate large-scale screening for frailty in older persons.
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Affiliation(s)
- Mauro Di Bari
- Research Unit of Medicine of Aging, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Division of Geriatric Cardiology and Medicine, Department of Heart and Vessels, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
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Di Fiandra T. European strategies for mental health. Ann Ist Super Sanita 2009; 45:54-58. [PMID: 19567979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The most recent developments of strategies and policies in the mental health field in Europe are related to the World Health Organization (WHO) Declaration and Action Plan on Mental Health signed by all the Ministers of Health of all Member States in the European Region (2005). The Action Plan proposes ways and means of developing comprehensive mental health policies, listing 12 areas in which challenges are indicated and detailed actions are required. Afterwards the Green Paper on Mental Health has been launched by the European Commission for the definition of an European strategy. The more precise European Pact for Mental Health and Well-being has been presented in 2008. Many other international bodies (OECD, Council of Europe, etc.) have actively worked to stress the mental health issue. All are clearly referring to the Italian model, started 30 years ago.
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Affiliation(s)
- Teresa Di Fiandra
- Ministero del Lavoro, della Salute e delle Politiche Sociali, 00144 Rome, Italy.
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Abstract
This article focuses on the epidemiology of illicit drug abuse in Italy at the end of 1992. The characteristics of demand and modalities and dimensions of treatment services offered are analyzed. This evaluation is based on data from the Ministry of Internal Affairs (Home Secretary), AIDS Operations Center and Ministry of Justice. The “need for care” estimate comes mainly from private facilities and public services data; the geographic distribution of demand for care in relation to available services is also examined. Finally, data concerning AIDS diffusion and intravenous drug users are presented.
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