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.

[Temporal analysis of the prevalence of congenital hypospadias in the municipality of Gela]. / Analisi temporale della prevalenza di ipospadia congenita nel comune di Gela.

OBJECTIVES: to evaluate the risk profile of hypospadias in Gela, an Italian National Priority Contaminated Site (NPCS) located in Sicily Region (Southern Italy), characterized by a significant excess of hypospadias in newborn residents compared to data from reference on regional, national, and international basis and, until 2014, by the presence of a petrochemical plant. DESIGN: geographical analyses were conducted by comparing the prevalence of the Gela municipality to prevalence found in Sicily, in a territorial area bordering Gela (ALG), and in the NPCSs of Milazzo and Priolo. The geographical comparisons were conducted for the period 2010-2020, the trend within the Gela NPCS was evaluated by comparing two subperiods (2010-2014 and 2015-2020). SETTING AND PARTICIPANTS: children up to 1 year of age with hypospadias resident in the municipality of Gela in the period 2010-2020. MAIN OUTCOMES MEASURES: crude odds ratios (OR) and respective 95% confidence intervals (95%CI) were used to compare the prevalence observed in Gela and that detected in the comparison areas. RESULTS: excess risk for hypospadias was highlighted in 2010-2020 in Gela vs Sicily (OR 4.45; 95%CI 3.45-5.75), vs ALG (OR 4.29; 95%CI 3.02-6.10), and vs the NPCSs of Milazzo (OR 2.32; 95%CI 1.32-4.07) and Priolo (OR 2.37; 95%CI 1.55-3.62). The between-period comparisons in Gela did not show an important difference between 2010-2014 and 2015-2020 (OR 1.37; 95%CI 0.83-2.24), with a prevalence of 98.9 and 72.4 per 10,000, respectively. CONCLUSIONS: the prevalence of hypospadias in 2015-2020 remains very high, although decreasing when compared to 2010-2014 period. The Gela data, despite the refinery being closed after 2014, suggest a complex situation in which multiple risk factors may play a role.

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.

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.

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.

[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.

[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.

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.

Burden of Parkinson's disease in Sicily: a health administrative database study.

INTRODUCTION: Prevalence of Parkinson's disease (PD) increases with the advanced ages, representing a relevant health burden. Accurate prevalence estimates are of fundamental need in order to adjust the supply of health services for these patients. The availability of administrative health data from the National Health System provides a useful resource to assess the burden of diseases. Our aim was to evaluate the prevalence of PD through the use of administrative data in the Sicily region. METHODS: We have identified all the subjects affected by PD in Sicily in 2017 by gathering data from three regional health administrative databases: the hospital discharge records, the medical exemption databases, and the pharmacological prescription database. Prevalence rates and 95% confidence intervals (CI) have been calculated across 5-year age classes. RESULTS: PD patients identified through database searching were 24,674, giving a prevalence of 488/100,000 (95%CI 481.9-494.1) inhabitants. Prevalence was higher among men (514.5/100,000; 95%CI 505.6-523.6) and reached a peak in the 85-89 age class (3203.8/100,000; 95%CI 3095.2-3315.1). DISCUSSION: Our prevalence estimates of PD were higher when compared to previous epidemiological surveys conducted in Sicily. These findings are, however, comparable to other studies conducted in Italy that identified cases through administrative databases. Using health databases is a feasible strategy to assess the burden of PD.

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.

[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.

A complication risk score to evaluate clinical severity of thalassaemia syndromes.

The thalassaemia syndromes (TS) show different phenotype severity. Developing a reliable, practical and global tool to determine disease severity and tailor treatment would be of great value. Overall, 7910 patients were analysed with the aim of constructing a complication risk score (CoRS) to evaluate the probability of developing one or more complications. Nine independent variables were included in the investigation as predictors. Logistic regression models were used for Group A [transfusion-dependent thalassaemia (TDT)], Group B [transfused non-TDT (NTDT)] and Group C (non-transfused NTDT). Statistically significant predictors included age (years), haemoglobin levels, hepatic transaminases [alanine aminotransferase (ALT) and aspartate aminotransferase] and left-ventricular ejection fraction (LVEF) for Group A; age (years), age at first chelation (months), ALT and LVEF for Group B; and age (years), mean serum ferritin (SF) levels and LVEF for Group C. The area under the receiver operating characteristic curve was 84·5%, 82·1% and 80·0% for Groups A, Group B and Group C respectively, suggesting the models had good discrimination. Finally, the CoRS for each group was categorised into four risk classes (low, intermediate, high, and very high) using the centiles of its distribution. In conclusion, we have developed a CoRS for TS that can assist physicians in prospectively tailoring patients' treatment.

Chronic polytherapy after myocardial infarction: the trade-off between hospital and community-based providers in determining adherence to medication.

BACKGROUND: The benefits of chronic polytherapy in reducing readmissions and death after myocardial infarction (MI) have been clearly shown. However, real-world evidence shows poor medication adherence and large geographic variation, suggesting critical issues in access to optimal care. Our objectives were to measure adherence to polytherapy, to compare the amount of variation attributable to hospitals of discharge and to community-based providers, and to identify determinants of adherence to medications. METHODS: This is a population-based study. Data were obtained from the information systems of the Lazio and Tuscany Regions, Italy (9.5 million inhabitants). Patients hospitalized with incident MI in 2010-2014 were analyzed. The outcome measure was medication adherence, defined as a Medication Possession Ratio (MPR) ≥ 0.75 for at least 3 of the following drugs: antiplatelets, ß-blockers, ACEI/ARBs, statins. A 2-year cohort-study was performed. Cross-classified multilevel models were applied to analyze geographic variation. The variance components attributable to hospitals of discharge and community-based providers were expressed as Median Odds Ratio (MOR). RESULTS: A total of 32,962 patients were enrolled. About 63% of patients in the Lazio cohort and 59% of the Tuscan cohort were adherent to chronic polytherapy. Women and patients aged 85 years and over were most at risk of non-adherence. In both regions, adherence was higher for patients discharged from cardiology wards (Lazio: OR = 1.58, p < 0.001, Tuscany: OR = 1.59, p < 0.001) and for patients with a percutaneous coronary intervention during the index admission. Relevant variation between community-based providers was observed, though when the hospital of discharge was included as a cross-classified level, in both Lazio and Tuscany regions the variation attributable to hospitals of discharge was the only significant component (Lazio: MOR = 1.30, p = 0.001; Tuscany: MOR = 1.31, p = 0.001). CONCLUSION: Adherence to best practice treatments after MI is not consistent with clinical guidelines, and varies between patient groups as well as within and between regions. The variation attributable to providers is affected by the hospital of discharge, up to two years from the acute episode. This variation is likely to be attributable to hospital discharge processes, and could be reduced through appropriate policy levers.

Direct healthcare costs of chronic kidney disease management in Italy: What cost-savings can be achieved with higher biosimilar uptake and more appropriate use of erythropoiesis-stimulating agents?

PURPOSE: Erythropoiesis-stimulating agents (ESAs), are used for treating chronic kidney disease (CKD)-related anemia, contributing to CKD costs. The study was aimed at investigating direct healthcare costs of CKD patients treated with ESAs and the potential savings achievable by increasing the use of biosimilars and preventing inappropriate ESA use. METHODS: A multi-center, cohort study was conducted using claims databases of five large Italian geographic areas. Yearly mean direct healthcare costs per patient were estimated, stratifying by CKD stage. The total yearly cost and potential savings related to ESA use were estimated: (a) considering 25/50/75% of originator ESA substitution with biosimilars; (b) eliminating inappropriate ESA dispensing. RESULTS: During the study period, the ESA-related yearly mean cost represented 17% of total yearly costs in stage I-III, decreasing to 13% in stage IV-V and 6% in dialysis. Among originator users, assuming a 25% of biosimilar uptake, the annual cost-savings of ESA treatment would represent 10.5% of total ESA costs in CKD stage I-V and 7.7% in dialysis. Among incident ESA users for which hemoglobin levels were available, 9% started inappropriately ESA treatment, increasing to 62.0% during the first year of maintenance therapy. Hypothesizing prevention of the first inappropriate ESA dispensing, the total yearly cost-savings would amount to €35 772, increasing to €167 641 eliminating the inappropriate dispensing during maintenance therapy. CONCLUSIONS: Higher use of lowest cost ESA, prevention of inappropriate ESA use as well as other strategies aimed at slowing down the progressive renal impairment are essential for minimizing clinical and economic burden of CKD.

Are diabetes and its medications risk factors for the development of COVID-19? Data from a population-based study in Sicily.

BACKGROUND AND AIMS: Diabetes mellitus (DM) has been associated with higher incidence of severe cases of COVID-19 in hospitalized patients, but it is unknown whether DM is a risk factor for the overall COVID-19 incidence. The aim of present study was to investigate whether there is an association of DM with COVID-19 prevalence and case fatality, and between different DM medications and risk for COVID-19 infection and death. METHODS AND RESULTS: retrospective observational study on all SARS-CoV-2 positive (SARS-CoV-2+) cases and deaths in Sicily up to 2020, May 14th. No difference in COVID-19 prevalence was found between people with and without DM (RR 0.92 [0.79-1.09]). Case fatality was significantly higher in SARS-CoV-2+ with DM (RR 4.5 [3.55-5.71]). No diabetes medication was associated with differences in risk for SARS-Cov2 infection. CONCLUSIONS: in Sicily, DM was not a risk factor for COVID-19 infection, whereas it was associated with a higher case fatality.

Stroke incidence and case fatality: a 9-year prospective population-based study in an elderly population of Bagheria, Italy.

BACKGROUND: The incidence of stroke in high-income countries has been on the decline; however, few epidemiological surveys have been conducted in recent years to specifically estimate the incidence along with outcome of stroke, in Italy. This study aimed to examine the incidence and case fatality rates of stroke in an elderly Italian population. METHODS: A cohort of 2200 people > 65 years was randomly stratified from the total elderly population of Bagheria, Italy. A 9-year prospective population-based study was performed (19,800 person/years). RESULTS: We identified 112 first-ever strokes, 53 females and 59 males: 82 (73.1%) ischemic, 13(11.6%) intracerebral haemorrhages, 6 (5.35%) subarachnoid haemorrhages, while 11(9.8%) were classified as undetermined strokes. The crude overall annual incidence was 5.65 per 1000 (95%CI: 4.61 to 6.70) for first-ever stroke. The overall crude incidence rates were 4.74 per 1000 (5.08 for males and 4.46 for females) for ischemic stroke, 0.65 (0.99 for males and 0.37 for females) for intracerebral haemorrhage, and 0.03 for subarachnoid haemorrhage. The incidence rate for first-ever stroke was 5.4 per 1000 (95% CI: 5.36 to 5.45) after adjustment for the 2015 World population and 5.56 (95% CI: 5.52 to 5.61), compared to the 2015 European population. Overall case fatality rates for first-ever stroke was 8.19% at 28 days and 24.1% at 1 year. CONCLUSION: Our study shows that in the elderly population investigated, stroke incidence and case fatality rates resulted being lower, compared to those from Italian and most European populations. Similar to previous studies, these rates increased linearly with age and were higher in males.

Cardiovascular Risk After Adjuvant Trastuzumab in Early Breast Cancer: An Italian Population-Based Cohort Study.

BACKGROUND: Although trastuzumab (T) represents the standard of care for the adjuvant treatment of HER2-positive early-stage breast cancer, contrasting results are available about the cardiac toxicity associated to its use. We conducted a multiregional population-based cohort investigation aimed to assess both the short- and long-term cardiovascular (CV) outcomes in women with early breast cancer treated with T-based or standard adjuvant chemotherapy (CT). MATERIALS AND METHODS: We used health care use databases of six Italian regions, overall accounting for 42% of the Italian population. The study cohort was made by all women surgically treated for breast cancer who started a first-line adjuvant T-based or CT treatment. Patients treated with T were 1:2 matched to those treated with CT based on date of treatment start, age, and presence of CV risk factors. Short- and long-term CV outcomes (heart failure and cardiomyopathy) were measured, respectively, after 1 year and at the end of follow-up. RESULTS: Among 28,599 women who met the inclusion criteria, 6,208 T users were matched to 12,416 CT users. After a mean follow-up of 5.88 years, short- and long-term cumulative CV risk were 0.8% and 2.6% in patients treated with T and 0.2% and 2.8% in those treated with CT, respectively. Adjusted hazard ratios were 4.6 (95% confidence interval [CI], 2.6-8.0) for short-term and 1.2 (95% CI, 0.9-1.6) for long-term CV risk. DISCUSSION: In our large real-world investigation, T-associated cardiotoxicity was limited to the treatment period. The addition of T to adjuvant CT did not result in long-term worsening of CV events. IMPLICATIONS FOR PRACTICE: Adjuvant trastuzumab-based chemotherapy represents the backbone therapy in patients with HER2-positive early breast cancer. Although well tolerated, cardiovascular events can manifest during or after therapy because of treatment-related toxicities. In this wide multicenter and unselected cohort, long-term symptomatic cardiotoxicity was low and limited to the treatment period. The findings suggest that developing tools that would be adequately able to predict cardiac toxicity at an early stage remains an important area in which additional research efforts are needed.

Measuring multimorbidity inequality across Italy through the multisource comorbidity score: a nationwide study.

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.

[Can diabetes and its related hypoglycemic drug treatment be considered risk factors for health outcomes in COVID-19 patients? The results of a study in the population residing in Sicily Region (Southern Italy)]. / Diabete e trattamento farmacologico con ipoglicemizzanti possono essere considerati fattori di rischio per gli esiti di salute in soggetti COVID-19? I risultati di uno studio nella popolazione residente in Sicilia.

OBJECTIVES: to evaluate the effects of a pre-existing condition of diabetes and of the use of antidiabetic drugs in the Sicilian population on different outcomes of the COVID-19 disease. DESIGN: a retrospective observational study based was used. Data deriving from the COVID-19 epidemic surveillance and from the collection of information on drugs consume by Sicilian residents. SETTING AND PARTICIPANTS: due to the data availability, the study was calibrated on the Region and included all population distinguishing by gender and age groups. MAIN OUTCOME MEASURES: the risks of cumulative incidence for COVID-19 were investigated in people who had diabetes comorbidities to incur a hospitalization for COVID-19, to be treated within an intensive care unit, and lethality. The role of previous antidiabetic drug treatments with respect to each study outcome was also investigated. RESULTS: in Sicily, from 01.03.2020 to 26.06.2020, a number of 172 cases of COVID-19 disease with diabetes comorbidity were diagnosed. The data did not show any difference in the cumulative incidence for COVID-19 between diabetics (64.2/100,000 inhabitants) and non-diabetics (56.9/100,000 inhabitants) patients. Diabetes increases the risk of hospitalization in the under 80 in both men and women (men: OR 2.62; women OR 4.31), for treatment in intensive care (men: OR 4,41; women: OR 7.74), and for death (men: OR 5.21; women OR 5.92). The analysis of drug using showed risks effect of insulin (OR 2.13) on hospitalization, sulfonylureas/glinides (OR 2.58) on intensive care and protective of metformin on death both in single component (OR 0.44) and in multicomponent (OR 0.43). CONCLUSIONS: data availability made it possible to monitor the occurrence and explore some of the characteristics of the cases with COVID-19 in Sicily. Diabetes does not seem to represent a risk factor for SARS-CoV-2 infection in Sicily, while previous diabetes condition seems to determine greater risk of hospitalization, treatment in intensive care, and lethality among over 80. There are also gender differences with almost double risks in women for hospitalization and intensive care only. Among the antidiabetic drugs investigated, there was a risk for hospitalization and intensive care while protective for deaths. This study represents an important tool for the activation of intervention programmes in the area aimed at populations with greater health risk deriving from the effects of this new pandemic.

Trends and projections of pleural mesothelioma incidence and mortality in the national priority contaminated sites of Sicily (Southern Italy).

OBJECTIVES: to evaluate short-medium term incidence and mortality projections of pleural malignant mesothelioma (PMM) in Sicily Region (Southern Italy) and in its four National Priority Contaminated Sites (NPCSs). DESIGN: population-based prediction study. SETTING AND PARTICIPANTS: PMM cases from 1998 to 2016 registered by the Regional Operations Centre of the Sicilian Region. MAIN OUTCOME MEASURES: incidence and mortality trends of PMM were estimated for the period 1998-2016 from the relationships among mortality, incidence, and survival. Projections of incidence and mortality rates were obtained up to 2026. RESULTS: age-standardized incidence rates of PMM in Sicily were estimated to increase in men from 1.4 (x100,000) in 1998 to 2.29 in 2021 and to slightly decrease down to 2.2 in 2026. Women age-standardized rates in the same period are estimated to decrease from 0.52 to 0.27. In Biancavilla, age-standardized incidence rates were estimated to remain stable between 8.1 and 8.0 in men, while crude rates increased from 8.3 in 1998 to 10.7 in 2026. For women, the estimated age-standardized incidence rates are increasing from 3.08 to 6.75. In the three pooled NPCSs of Augusta-Priolo, Gela, and Milazzo, the estimates of age-standardized incidence rates show an initial trend to growth followed by a decreasing trend, both in men and women, down to predicted values in 2016 of 3.0 in men and 0.77 in women. Estimated age-standardized and crude mortality rates show, for both sexes and all areas, similar patterns as those estimated for incidence. CONCLUSIONS: in Sicily and in the three NPCSs of Gela, Milazzo, and Priolo, incidence and mortality projections are downward in both sexes. In Biancavilla, mesothelioma occurrence is estimated to increase up to 2026, slightly in males and more significantly in females.