Allocation of Users of Mental Health Services to Needs-Based Care Clusters: An Italian Pilot Study.

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.

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.

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.

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.

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.

Fluoro-edenite non-neoplastic diseases in Biancavilla (Sicily, Italy): pleural plaques and/or pneumoconiosis?

BACKGROUND: A mesothelioma cluster in Biancavilla (Sicily, Italy), drew attention to fluoro-edenite, a fibre classified by International Agency for Research on Cancer as carcinogenic to humans. Significant excesses in mortality and morbidity were observed for respiratory diseases and a significant excess of pneumoconiosis hospitalizations was reported. OBJECTIVE: Aim of this study is to assess the characters of the lung damage in Biancavilla residents hospitalized with pneumoconiosis or asbestosis diagnoses. METHODOLOGY: Medical records, available radiographs and computed tomography scans were collected. The obtained imaging was reviewed by a panel of three specialists and focused on pleural and parenchymal abnormalities. Cases with an ILO-BIT or ICOERD score equal or greater than 2 were considered positive for a pneumoconiosis-like damage, cases with a score lower than 2 or insufficient quality of imaging were considered inconclusive. If no pneumoconiotic aspects were present the cases were classified as negative. RESULTS: Out of 38 cases, diagnostic imaging for 25 cases were found. Ten cases out of 25 showed asbestosis-like features, nine subjects were considered negative. In six patients' results were inconclusive. CONCLUSIONS: Asbestosis-like features were substantiated in Biancavilla residents without known occupational exposure to asbestos. Further studies to estimate population respiratory health are required. Experimental studies on the fibrogenic potential of fluoro-edenite are needed.

Development of a Set of Indicators for Measuring and Improving Quality of Rehabilitation Care after Ischemic Stroke.

Stroke is the leading global cause of permanent disability and the second leading cause of dementia within the first year of the event. Systematic quality improvement interventions such as Audit & Feedback (A&F) can monitor and improve the performance of post-stroke care in conjunction with the use of quality indicators (QIs). The scientific literature shows limited studies on quality improvement and QIs design for poststroke rehabilitation. In Italy, the National Outcomes Evaluation Programme (PNE) annually provides several QIs concerning the acute wards. On the contrary, indicators for quality assessment of post-acute stroke rehabilitation are not available nationwide. In recent years, the Italian Ministry of Health has funded a national network project, the aim of which is to provide and evaluate the effectiveness of A&F strategies in healthcare improvement. Part of this project is the development of a set of IQs for ischemic stroke rehabilitation used to conduct an A&F. In this study, we describe the design and development process of these QIs from administrative databases and report the results of the pilot test conducted on a small sample of Sicilian rehabilitation facilities, comparing them from 2019 to 2021. Feedback from the participating centers was mainly positive, and the quality indicators were found to be comprehensible and appreciated. However, the study highlighted the need for better adherence to indicators measuring processes of rehabilitation care. The set of quality indicators presented in this study, relevant to inpatient settings, could be considered a starting point on which to base quality improvement initiatives both nationally and internationally.

The quality of mental health care for people with bipolar disorders in the Italian mental health system: the QUADIM project.

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.

Time-Trends in Air Pollution Impact on Health in Italy, 1990-2019: An Analysis From the Global Burden of Disease Study 2019.

Objectives: We explored temporal variations in disease burden of ambient particulate matter 2.5 µm or less in diameter (PM2.5) and ozone in Italy using estimates from the Global Burden of Disease Study 2019. Methods: We compared temporal changes and percent variations (95% Uncertainty Intervals [95% UI]) in rates of disability adjusted life years (DALYs), years of life lost, years lived with disability and mortality from 1990 to 2019, and variations in pollutant-attributable burden with those in the overall burden of each PM2.5- and ozone-related disease. Results: In 2019, 467,000 DALYs (95% UI: 371,000, 570,000) were attributable to PM2.5 and 39,600 (95% UI: 18,300, 61,500) to ozone. The crude DALY rate attributable to PM2.5 decreased by 47.9% (95% UI: 10.3, 65.4) from 1990 to 2019. For ozone, it declined by 37.0% (95% UI: 28.9, 44.5) during 1990-2010, but it increased by 44.8% (95% UI: 35.5, 56.3) during 2010-2019. Age-standardized rates declined more than crude ones. Conclusion: In Italy, the burden of ambient PM2.5 (but not of ozone) significantly decreased, even in concurrence with population ageing. Results suggest a positive impact of air quality regulations, fostering further regulatory efforts.

Small-area deprivation index does not improve the capability of multisource comorbidity score in mortality prediction.

Background: The stratification of the general population according to health needs allows to provide better-tailored services. A simple score called Multisource Comorbidity Score (MCS) has been developed and validated for predicting several outcomes. The aim of this study was to evaluate whether the ability of MCS in predicting 1-year mortality improves by incorporating socioeconomic data (as measured by a deprivation index). Methods: Beneficiaries of the Italian National Health Service who in the index year (2018) were aged 50-85 years and were resident in the Sicily region for at least 2 years were identified. For each individual, the MCS was calculated according to his/her clinical profile, and the deprivation index of the census unit level of the individual's residence was collected. Frailty models were fitted to assess the relationship between the indexes (MCS and deprivation index) and 1-year mortality. Akaike information criterion and Bayesian information criterion statistics were used to compare the goodness of fit of the model that included only MCS and the model that also contained the deprivation index. The models were further compared by means of the area under the receiver operating characteristic curve (AUC). Results: The final cohort included 1,062,221 individuals, with a mortality rate of 15.6 deaths per 1,000 person-years. Both MCS and deprivation index were positively associated with mortality.The goodness of fit statistics of the two models were very similar. For MCS only and MCS plus deprivation index models, Akaike information criterion were 17,013 and 17,038, respectively, whereas Bayesian information criterion were 16,997 and 17,000, respectively. The AUC values were 0.78 for both models. Conclusion: The present study shows that socioeconomic features as measured by the deprivation index did not improve the capability of MCS in predicting 1-year risk of death. Future studies are needed to investigate other sources of data to enhance the risk stratification of populations.

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).

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.

[SENTIERI - Epidemiological Study of Residents in National Priority Contaminated Sites. Sixth Report]. / SENTIERI - Studio epidemiologico nazionale dei territori e degli insediamenti esposti a rischio da inquinamento. Sesto Rapporto.

INTRODUCTION ADN OBJECTIVES: The Sixth Report presents the results of the "SENTIERI Project: implementation of the permanent epidemiological surveillance system of populations residing in Italian Sites of Remediation Interest", promoted and financed by the Italian Ministry of Health (Centre for Disease Control and Prevention - CCM Project 2018). The aim of this study is to update the mortality and hospitalization analyses concerning the 6,227,531 inhabitants (10.4% of the Italian population) residing in 46 contaminated sites (39 of national interest and 7 of regional interest). The sites include 316 municipalities distributed as follows: 15 in the North-East (20.3% of the investigated population); 104 in the North-West (12% of the investigated population), 32 in the Centre (12.6% of the investigated population), 165 in the South and Islands (55.5% of the investigated population). Analyses were carried out on the paediatric-adolescent (1,128,396 residents) and youth (665,284 residents) population, and a study on congenital anomalies (CA) was carried out at sites covered by congenital malformation registers. Accompanying the epidemiological assessments, site-specific socioeconomic conditions were examined and an overall estimate of excess risk for populations residing at contaminated sites was drawn up. By means of a systematic review of the scientific literature, the epidemiological evidence on causal links between sources of environmental exposure and health effects was updated to identify pathologies of a priori interest. METHODOLOGY: In the 46 sites included in the SENTIERI Project, mortality (time window: 2013-2017) and hospital admissions (time window: 2014-2018) of the general population of all ages, divided by gender, and of the paediatric-adolescent (0-1 year, 0-14 years, 0-19 years), youth (20-29 years), and overall (0-29 years) age groups, divided by gender, were analysed. In 21 sites, CA diagnosed within the first year of life were studied. Standardised mortality ratios (SMR) and hospitalization ratios (SHR) were calculated with reference to the rates in the regions to which the sites belong. The reference population was calculated net of residents in the sites. CA were studied by calculating the prevalence per 10,000 births and the ratio, multiplied by 100, between the cases observed at the site and those expected on the basis of the prevalences observed in the reference area (region or sub-regional area of belonging, according to the geographical coverage of the registry). The socioeconomic condition studied in the 46 sites is based on the convergence of three deprivation indicators with respect to the reference region: deprivation index at municipal level, deprivation index at census section level, premature mortality indicator (age range 30-69 years) for chronic non-communicable diseases. For the estimation of excess risk for the entire study population, meta-analysis of the mortality and hospitalization risk estimates for each site was carried out and the number of excess deaths estimated for the sites as a whole. The epidemiological evidence was updated through a systematic literature review (January 2009-May 2020), following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search was carried out on the search engines MEDLINE, EMBASE and Web of Science; the quality of the studies included in the review was assessed using the AMSTAR 2 checklist for systematic reviews and the NewCastle-Ottawa Scale for observational studies in the case of cohort and case-control studies and a modified version thereof for ecological and cross-sectional studies. The update was based on the selection of 14 systematic reviews, 15 primary studies, 6 monographs/reports from international scientific organisations on health effects due to the presence of environmental exposure sources. RESULTS: Mortality. The a priori causes of interest that occur most frequently in excess are, in descending order: malignant lung cancer, malignant mesothelioma of the pleura, malignant bladder cancer, respiratory diseases, non-Hodgkin lymphomas, malignant liver cancer, all malignant tumours, malignant colorectal cancer, malignant stomach cancer, total mesotheliomas, malignant breast cancer, and asbestosis. Hospitalization. The a priori causes of interest that occur most frequently in excess are represented in descending order by: respiratory diseases, malignant lung cancer, malignant tumours of the pleura, malignant bladder cancer, malignant breast cancer, malignant liver cancer, asthma, malignant colorectal cancer, all malignant tumours, malignant stomach cancer, non-Hodgkin's lymphomas, acute respiratory diseases, leukaemias. The differences observed between mortality and hospitalization can be attributed to the intrinsic characteristics of the diseases (higher or lower lethality, gender differences in incidence), lifestyles, and occupational phenomena. Age classes. Excesses of general mortality were observed in the first year of life at the Manfredonia, Basso Bacino Fiume Chienti, Litorale Domizio Flegreo and Agro Aversano sites; in the 0-1 year and 0-19 year age groups at Casale Monferrato; in the paediatric age group at Serravalle Scrivia and at the Trento Nord site; in the 0-19 year age group at Sassuolo Scandiano; in the young age group (0-29 years) at the two municipalities of Cerchiara and Cassano (Crotone-Cassano-Cerchiara site). With regard to hospitalization due to natural causes, risk excesses in both genders are found in the first year of life in 35% of the sites (Porto Torres industrial areas, Bari-Fibronit, Basso bacino fiume Chienti, Bolzano, Crotone-Cassano-Cerchiara, Cerro al Lambro, Bologna ETR large repair workshop, Gela, Manfredonia, Massa Carrara, Pioltello Rodano, Pitelli, Priolo, Sesto San Giovanni, Trento Nord, and Trieste). These same sites, with the addition of Casale Monferrato, Cengio e Saliceto, Serravalle Scrivia, and Sulcis-Iglesiente-Guspinese (total: 43% of sites), show excesses for all natural causes, in both genders, even in the paediatric-adolescent age group (0-19 years). Among young adults (20-29 years), the analyses show excesses of hospitalization for all natural causes in both genders in the Bolzano, Crotone-Cassano-Cerchiara, Gela, Manfredonia, Pitelli, Priolo, and Sulcis-Iglesiente-Guspinese sites. Among young women only, excesses for all natural causes are also found in Brescia Caffaro, Brindisi, Broni, Casale Monferrato, Crotone-Cassano-Cerchiara, Falconara Marittima, Fidenza, and Massa Carrara. Congenital anomalies. In the 21 sites investigated for CA, 10,126 cases of CA, validated by participating registers, were analysed out of 304,620 resident births. Genital CA is the subgroup for which the greatest number of excesses was observed (in 6 out of 21 sites). The available evidence does not allow a causal link to be established between the excesses observed for specific subgroups of ACs and exposure to industrial sources, but the results suggest further action. The interpretation of the results appears, in fact, particularly complex as the scientific literature on the association between exposure to industrial sources and AC is very limited. Socioeconomic status. The sites in which the indicators converge to show the presence of fragility are: Litorale Vesuviano area, Val Basento industrial areas, Basso Bacino fiume Chienti, Biancavilla, Crotone-Cassano-Cerchiara, Litorale Domizio Flegreo and Agro Aversano, Livorno, Massa Carrara, Trieste. Global impact. Over the period 2013-2017, an estimated 8,342 excess deaths (CI90% 1,875-14,809) or approximately 1,668 excess cases/year, 4,353 excess deaths among males (CI90% 334-8,372) and 3,989 among females (CI90% -1,122;9,101). The pooled excess risk of general mortality is 2% in both genders (pooled SMR 1.02; CI90% 1.00-1.04). The proportion of excess deaths to total observed deaths is almost constant over time, rising from 2.5% in 1995-2002 to 2.6% in 2013-2017. The number of deaths in absolute value is also very similar between the periods analysed. Deaths from all malignant tumours contribute the most by accounting for 56% of the observed excesses, the excess risk of mortality from malignant tumours across all sites, compared to the reference populations, is 4% in the male population (pooled SMR 1.04; CI90% 1.01-1.06) and 3% among the female population (pooled SMR 1.03; CI90% 1.01-1.05). Hospitalization (2014-2018) in the 46 sites as a whole was in excess of 3% for all causes, in both genders, for all major disease groups (males: SHR pooled 1.03; CI90% 1.01-1.04 - females: SHR pooled 1.03; CI90% 1.01-1.05). The results for the pooled estimates at the 46 sites on the general population, both with regard to mortality and hospitalization, are consistent in indicating excess risk in both genders for all the diseases considered and, in particular, for all malignancies. A total of 1,409 paediatric-adolescent deaths and 999 young adult deaths were observed, and the pooled analysis of mortality across the 46 sites showed no critical issues, with pooled estimates for all causes, perinatal morbid conditions and all malignancies falling short of expectations. The analysis of hospitalizations, on the other hand, showed an excess risk of 8% (males: SHR pooled 1.08; CI90% 1.03-1.13 - females: SHR pooled 1.08; CI90% 1.03-1.14) for all causes in the first year of life, and in paediatric-adolescent and juvenile age of 3-4% among males (age 0-19 years: SHR pooled 1.04; CI90% 1.02-1.06 - age 20-29 years: SHR pooled 1.03; CI90% 1.00-1.05) and 5% among females (in both age groups; SHR pooled 1.05; CI90% 1.02-1.08). The pooled analysis of mortality for the a priori identified diseases reported excesses for specific diseases in the group of sites with sources of exposure associated with them. Mortality from total mesotheliomas is three times higher at sites with asbestos present (males:pooled SMR 3.02; CI90% 2.18-3.87 - females: pooled SMR 3.61; CI90% 2.33-4.88) and that from pleural mesotheliomas more than two times higher at the group of sites with asbestos and port areas (males: pooled SMR 2.47; CI90% 1.94-3.00 - females: pooled SMR 2.43; CI90% 1.67-3.19). Lung cancer was in excess by 6% among males (pooled SMR 1.06; CI90% 1.03-1.10) and 7% among females (pooled SMR 1.07; CI90% 1.00-1.13). In addition, there are excess mortalities for colorectal cancer at sites with chemical plants, by 4 % among males (SMR pooled 1.04; CI90% 1.01-1.08) and 3 % among females (SMR pooled 1.03; CI90% 1.00-1.07) and for bladder cancer among the male population of sites with landfills (+6 %: SMR pooled 1.06; CI90% 1.02-1.11). Among the diseases of a priori interest, stomach and soft tissue cancers are at fault as a cause of death among all the sites considered. LITERATURE REVIEW: The update of the epidemiological evidence underlying the Sixth SENTIERI Report has highlighted in the general population a possible association, previously undiscovered, between certain diseases and residence near petrochemical and steel plants, landfills, coal mines and asbestos sources. CONCLUSIONS AND PERSPECTIVES: Despite the fact that this is an ecological study, and the excesses of pathologies with multifactorial aetiology can never be mechanically attributed solely to the environmental pressure factors that exist or existed in the areas studied, the ability to identify the excesses found in the contaminated sites investigated by the SENTIERI Project confirms the validity of this method of assessing the site-specific health profile, based on the use of epidemiological evidence to identify pathologies of interest a priori. In interpreting the data and lending robustness to what has been observed, comparison with the results obtained in previous Reports is essential. The global estimates give an overall picture that shows excess mortality and hospitalization in these populations compared to the rest of the population, and show how, for specific pathologies, comparable effects are produced at sites with similar contamination characteristics. The themes developed in the in-depth chapters broaden the vision and understanding of the complex interactions between environment and health, describe the possibilities offered by new ways of communicating the results, and confirm the modernity of a Project that began way back in 2006, and that could be grafted onto the objectives of the National Recovery and Resilience Plan within the framework of the Operational Programme Health, Environment, Biodiversity and Climate.

Development of a Thalassemia International Prognostic Scoring System (TIPSS).

A prognostic scoring system that can differentiate ß-thalassemia patients based on mortality risk is lacking. We analysed data from 3145 ß-thalassemia patients followed through a retrospective cohort design for the outcome of death. An a priori list of prognostic variables was collected. ß Coefficients from a multivariate cox regression model were used from a development dataset (n = 2516) to construct a formula for a Thalassemia International Prognostic Scoring System (TIPSS) which was subsequently applied to a validation dataset (n = 629). The median duration of observation was 10.0 years. The TIPSS score formula was constructed as exp (1.4 × heart disease + 0.9 × liver disease + 0.9 × diabetes + 0.9 × sepsis + 0.6 × alanine aminotransferase ≥42 IU/L + 0.6 × hemoglobin ≤9 g/dL + 0.4 × serum ferritin ≥1850 ng/mL). TIPSS score thresholds of greatest differentiation were assigned as <2.0 (low-risk), 2.0 to <5.0 (intermediate-risk), and ≥5.0 (high-risk). The TIPSS score was a good predictor for the outcome of death in the validation dataset (AUC: 0.722, 95%CI: 0.641-0.804) and survival was significantly different between patients in the three risk categories (P < 0.001). Compared to low-risk patients, the hazard ratio for death was 2.778 (95%CI: 1.335-5.780) in patients with intermediate-risk and 6.431 (95%CI: 3.151-13.128) in patients with high-risk. This study provides a novel tool to support mortality risk categorization for patients with ß-thalassemia that could help management and research decisions.

[BIGEPI project: environmental and health data]. / Progetto BIGEPI: dati ambientali e dati sanitari.

OBJECTIVES: the BIGEPI project, co-funded by INAIL, has used big data to identify the health risks associated with short and long-term exposure to air pollution, extreme temperatures and occupational exposures. DESIGN: the project consists of 5 specific work packages (WP) aimed at assessing: 1. the acute effects of environmental exposures over the national territory; 2. the acute effects of environmental exposures in contaminated areas, such as Sites of National Interest (SIN) and industrial sites; 3. the chronic effects of environmental exposures in 6 Italian longitudinal metropolitan studies; 4. the acute and chronic effects of environmental exposures in 7 epidemiological surveys on population samples; 5. the chronic effects of occupational exposures in the longitudinal metropolitan studies of Rome and Turin. SETTING AND PARTICIPANTS: BIGEPI analyzed environmental and health data at different levels of detail: the whole Italian population (WP1); populations living in areas contaminated by pollutants of industrial origin (WP2); the entire longitudinal cohorts of the metropolitan areas of Bologna, Brindisi, Rome, Syracuse, Taranto and Turin (WP3 and WP5); population samples participating in the epidemiological surveys of Ancona, Palermo, Pavia, Pisa, Sassari, Turin and Verona (WP4). MAIN OUTCOME MEASURES: environmental exposure: PM10, PM2,5, NO2 and O3 concentrations and air temperature at 1 Km2 resolution at national level. Occupational exposures: employment history of subjects working in at least one of 25 sectors with similar occupational exposures to chemicals/carcinogens; self-reported exposure to dust/fumes/gas in the workplace. Health data: cause-specific mortality/hospitalisation; symptoms/diagnosis of respiratory/allergic diseases; respiratory function and bronchial inflammation. RESULTS: BIGEPI analyzed data at the level of the entire Italian population, data on 2.8 million adults (>=30 yrs) in longitudinal metropolitan studies and on about 14,500 individuals (>=18 yrs) in epidemiological surveys on population samples. The population investigated in the longitudinal metropolitan studies had an average age of approximately 55 years and that of the epidemiological surveys was about 48 years; in both cases, 53% of the population was female. As regards environmental exposure, in the period 2013-2015, at national level average values for PM10, PM2.5, NO2 and summer O3 were: 21.1±13.6, 15.1±10.9, 14.7±9.1 and 80.3±17.3 µg/m3, for the temperature the average value was 13.9±7.2 °C. Data were analyzed for a total of 1,769,660 deaths from non-accidental causes as well as 74,392 incident cases of acute coronary event and 45,513 of stroke. Epidemiological investigations showed a high prevalence of symptoms/diagnoses of rhinitis (range: 14.2-40.5%), COPD (range: 4.7-19.3%) and asthma (range: 3.2-13.2%). The availability of these large datasets has made it possible to implement advanced statistical models for estimating the health effects of short- and long-term exposures to pollutants. The details are reported in the BIGEPI papers already published in other international journals and in those published in this volume of E&P. CONCLUSIONS: BIGEPI has confirmed the great potential of using big data in studies of the health effects of environmental and occupational factors, stimulating new directions of scientific research and confirming the need for preventive action on air quality and climate change for the health of the general population and the workers.

From contact coverage to effective coverage of community care for patients with severe mental disorders: A real-world investigation from Italy.

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.

Development and Validation of a Novel Pre-Pregnancy Score Predictive of Preterm Birth in Nulliparous Women Using Data from Italian Healthcare Utilization Databases.

Background: Preterm birth is a major worldwide public health concern, being the leading cause of infant mortality. Understanding of risk factors remains limited, and early identification of women at high risk of preterm birth is an open challenge. Objective: The aim of the study was to develop and validate a novel pre-pregnancy score for preterm delivery in nulliparous women using information from Italian healthcare utilization databases. Study Design: Twenty-six variables independently able to predict preterm delivery were selected, using a LASSO logistic regression, from a large number of features collected in the 4 years prior to conception, related to clinical history and socio-demographic characteristics of 126,839 nulliparous women from Lombardy region who gave birth between 2012 and 2017. A weight proportional to the coefficient estimated by the model was assigned to each of the selected variables, which contributed to the Preterm Birth Score. Discrimination and calibration of the Preterm Birth Score were assessed using an internal validation set (i.e., other 54,359 deliveries from Lombardy) and two external validation sets (i.e., 14,703 and 62,131 deliveries from Marche and Sicily, respectively). Results: The occurrence of preterm delivery increased with increasing the Preterm Birth Score value in all regions in the study. Almost ideal calibration plots were obtained for the internal validation set and Marche, while expected and observed probabilities differed slightly in Sicily for high Preterm Birth Score values. The area under the receiver operating characteristic curve was 60%, 61% and 56% for the internal validation set, Marche and Sicily, respectively. Conclusions: Despite the limited discriminatory power, the Preterm Birth Score is able to stratify women according to their risk of preterm birth, allowing the early identification of mothers who are more likely to have a preterm delivery.

[Application of an algorithm for the validation of congenital anomaly cases using hospital discharge records]. / Applicazione di un algoritmo per la validazione dei casi di malformazione congenita provenienti dal flusso delle schede di dimissione ospedaliera.

OBJECTIVES: to evaluate and validate the adoption of an algorithm for the identification of cases of congenital anomalies (CAs) to improve the performance of the Congenital Malformations Registry of Sicily Region (Southern Italy). DESIGN: an algorithm was used to identify congenital anomalies on a sample of hospital discharge records (SDO) with ICD-9-CM code between 740-759 on any of the diagnoses within the first year of life, together with a sample of healthy births equal to 5% of total births for the same period. The identified cases were evaluated through the clinical record analysis. SETTING AND PARTICIPANTS: the analysed sample was composed of 4,271 cases identified between June 2013 and December 2014 along with 3,993 SDO without any code of MC (5% of the total volume of births in the same period). MAIN OUTCOME MEASURES: positive predictive value (VPP) and negative predictive value (VPN) were computed by means of the comparison between the algorithm outcomes and the clinical record verification. RESULTS: 4,271 potentially malformed records involving 3,381 subjects born in the Sicilian territory have been identified. Among the hospital discharge records that it was possible to verify, the application of the algorithm led to the exclusion of 924 cases: of these, 62 proved to be false negatives (VPN: 93.3). The valid cases were 1,179, while the cases to be evaluated 617: the comparison between algorithm and clinical record analysis led to a VPP of 91.7 and 72.1, respectively, for valid and to be evaluated. CONCLUSIONS: the tested algorithm proved to be a useful tool for identifying SDO potentially related to congenital anomalies. In the overall sample, the algorithm provided an outcome consistent with the clinical record assessment in 87.4% (2,379) of cases.

The quality of mental health care delivered to patients with schizophrenia and related disorders in the Italian mental health system. The QUADIM project: a multi-regional Italian investigation based on healthcare utilisation databases.

AIMS: To evaluate the quality of mental health care delivered to patients with schizophrenia and related disorders taken-in-care by mental health services in four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS: Thirty-one clinical indicators concerning accessibility, appropriateness, continuity and safety were defined and estimated using healthcare utilisation (HCU) databases, containing data on mental health treatments, hospital admissions, outpatient interventions, lab tests and drug prescriptions. RESULTS: A total of 70 586 prevalent patients with schizophrenia and related disorders treated in 2015 were identified, of whom 1752 were newly taken-in-care by the facilities of regional mental health services. For most patients community care was accessible and moderately intensive. However, care pathways were not implemented based on a structured assessment and only half of the patients received psychosocial treatments. One patient out of ten had access to psychological interventions and psychoeducation. Activities specifically addressed to families involved a third of prevalent patients and less than half of new patients. One patient out of six was admitted to a community residential facility, and one out of ten to a General Hospital Psychiatric Ward (GHPW); higher values were identified in new cases. In general hospitals, few patients had a length of stay (LoS) of more than 30 days, while one-fifth of the admissions were followed by readmission within 30 days of discharge. For two-thirds of patients, continuity of community care was met, and six times out of ten a discharge from a GHPW was followed by an outpatient contact within 2 weeks. For cases newly taken-in-care, the continuity of community care was uncommon, while the readiness of outpatient contacts after discharge was slightly more frequent. Most of the patients received antipsychotic medication, but their adherence to long-term treatment was low. Antipsychotic polytherapy was frequent and the control of metabolic side effects was poor. The variability between regions was high and consistent in all the quality domains. CONCLUSIONS: The Italian mental health system could be improved by increasing the accessibility to psychosocial interventions, improving the quality of care for newly taken-in-care patients, focusing on somatic health and mortality, and reducing regional variability. Clinical indicators demonstrate the strengths and weaknesses of the mental health system in these regions, and, as HCU databases, they could be useful tools in the routine assessment of mental healthcare quality at regional and national levels.

Primary HBB gene mutation severity and long-term outcomes in a global cohort of ß-thalassaemia.

In ß-thalassaemia, the severity of inherited ß-globin gene mutations determines the severity of the clinical phenotype at presentation and subsequent transfusion requirements. However, data on associated long-term outcomes remain limited. We analysed data from 2109 ß-thalassaemia patients with available genotypes in a global database. Genotype severity was grouped as ß0 /ß0 , ß0 /ß+ , ß+ /ß+ , ß0 /ß++ , ß+ /ß++ , and ß++ /ß++ . Patients were followed from birth until death or loss to follow-up. The median follow-up time was 34·1 years. Mortality and multiple morbidity outcomes were analyzed through five different stratification models of genotype severity groups. Interestingly, ß0 and ß+ mutations showed similar risk profiles. Upon adjustment for demographics and receipt of conventional therapy, patients with ß0 /ß0 , ß0 /ß+ , or ß+ /ß+ had a 2·104-increased risk of death [95% confidence interval (CI): 1·176-3·763, P = 0·011] and 2·956-increased odds of multiple morbidity (95% CI: 2·310-3·784, P < 0·001) compared to patients in lower genotype severity groups. Cumulative survival estimates by age 65 years were 36·8% for this subgroup compared with 90·2% for patients in lower genotype severity groups (P < 0·001). Our study identified mortality and morbidity risk estimates across various genotype severity groups in patients with ß-thalassaemia and suggests inclusion of both ß+ and ß0 mutations in strata of greatest severity.

A nationwide study of air pollution from particulate matter and daily hospitalizations for respiratory diseases in Italy.

BACKGROUND/AIM: The relationship between air pollution and respiratory morbidity has been widely addressed in urban and metropolitan areas but little is known about the effects in non-urban settings. Our aim was to assess the short-term effects of PM10 and PM2.5 on respiratory admissions in the whole country of Italy during 2006-2015. METHODS: We estimated daily PM concentrations at the municipality level using satellite data and spatiotemporal predictors. We collected daily counts of respiratory hospital admissions for each Italian municipality. We considered five different outcomes: all respiratory diseases, asthma, chronic obstructive pulmonary disease (COPD), lower and upper respiratory tract infections (LRTI and URTI). Meta-analysis of province-specific estimates obtained by time-series models, adjusting for temperature, humidity and other confounders, was applied to extrapolate national estimates for each outcome. At last, we tested for effect modification by sex, age, period, and urbanization score. Analyses for PM2.5 were restricted to 2013-2015 cause the goodness of fit of exposure estimation. RESULTS: A total of 4,154,887 respiratory admission were registered during 2006-2015, of which 29% for LRTI, 12% for COPD, 6% for URTI, and 3% for asthma. Daily mean PM10 and PM2.5 concentrations over the study period were 23.3 and 17 µg/m3, respectively. For each 10 µg/m3 increases in PM10 and PM2.5 at lag 0-5 days, we found excess risks of total respiratory diseases equal to 1.20% (95% confidence intervals, 0.92, 1.49) and 1.22% (0.76, 1.68), respectively. The effects for the specific diseases were similar, with the strongest ones for asthma and COPD. Higher effects were found in the elderly and in less urbanized areas. CONCLUSIONS: Short-term exposure to PM is harmful for the respiratory system throughout an entire country, especially in elderly patients. Strong effects can be found also in less urbanized areas.

Does the mental health system provide effective coverage to people with schizophrenic disorder? A self-controlled case series study in Italy.

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.