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Objective: To examine cancer-related mortality in patients with severe mental disorders (SMI) in the Emilia Romagna (ER) Region, Northern Italy, during the period 2008-2017 and compare it with the regional population., Methods: We used the ER Regional Mental Health Registry identifying all patients aged ≥18 years who had received an ICD-9CM system diagnosis of SMI (i.e., schizophrenia or other functional psychosis, mania, or bipolar affective disorders) during a 10-year period (2008-2017). Information on deaths (date and causes of death) were retrieved through the Regional Cause of Death Registry. Comparisons were made with the deaths and cause of deaths of the regional population over the same period., Results: Amongst 12,385 patients suffering from SMI (64.1% schizophrenia spectrum and 36.9% bipolar spectrum disorders), 24% (range 21%-29%) died of cancer. In comparison with the general regional population, the mortality for cancer was about 50% higher among patients with SMI, irrespective if affected by schizophrenia or bipolar disorders. As for the site-specific cancers, significant excesses were reported for stomach, central nervous system, respiratory, and pancreas cancer with a variability according to psychiatric diagnosis and gender., Conclusions: Patients suffering from SMI had higher mortality risk than the regional population with some differences according to cancer type, gender, and psychiatric diagnosis. Proper cancer preventive and treatment interventions, including more effective risk modification strategies (e.g., smoking cessation, dietary habits) and screening for cancer, should be part of the agenda of all mental health departments in conjunction with other health care organizations, including psycho-oncology., (© 2021 The Authors. Psycho-Oncology published by John Wiley & Sons Ltd.)

Background and Aim: Randomized controlled trials have shown that mRNA vaccines are highly effective in preventing SARS-CoV2 infection. We conducted a study to assess the real-world effectiveness of mRNA vaccines (Pfizer-BioNTech or Moderna) in preventing all and symptomatic SARS-CoV2 infections and COVID-19 related hospitalizations in the staff of the Bologna Health Trust (HT), Italy Methods: We followed up retrospectively 9839 staff of the Bologna HT from December 27, 2020 to April 3, 2020 and calculated the effectiveness in partially and fully vaccinated subjects by applying a multivariable Cox proportional hazard model., Results: Vaccine effectiveness in preventing SARS-CoV2 infections is 85.5% (95%CI: 75.9-91.3) in the partially vaccinated and 84.8% (95%CI: 73.2-91.4) in the fully vaccinated. In preventing symptomatic infection effectiveness is 81.7% (95%CI: 62.7-91.0) in the partially and 87.1% (95%CI: 69.3-94.6) in the fully vaccinated. There were no COVID-19-related hospitalizations in the partially or fully vaccinated vs 15 hospitalization in the unvaccinated cohort., Conclusions: Our results confirm the effectiveness of mRNA vaccines in a real-world setting in Northern Italy.

Evidence from previous research demonstrated a gap in mortality between patients with mental disorders and the general population. However, a more exhaustive assessment is required to address this public health issue. The aim of this study was to provide comprehensive analysis of mortality examining all causes of death and all psychiatric diagnoses. We conducted a 10-year retrospective cohort study, including all in and out patients registered in the Mental Health Registry of Emilia-Romagna, Italy. Standardized mortality ratios (SMRs) were calculated. The cohort consisted of 137,351 patients 11,236 of whom died during the study period and the overall SMR was 1.99. 85.9 % of excess mortality was attributable to a broad range of natural causes. Diseases of circulatory and respiratory systems as well as neoplasms were the principal contributors to the mortality gap. All psychiatric conditions led to a higher risk of death. The greatest excess was due to neoplasms in depressed and neurotic patients and to cardiovascular diseases in patients with schizophrenia and personality disorders. Our results highlight the need for close collaboration between mental and primary health care services with the aim of reducing excess mortality as a result of medical diseases among all patients suffering from psychiatric condition., (Copyright © 2021. Published by Elsevier B.V.)

Background and Aim of the Work: Various measures have been taken by the Italian Government to contain and mitigate the COVID-19 outbreak and on March 11th a decree called "I stay at home" put the whole nation under lockdown. Our aim is to describe sociodemographic and transmission profile of COVID-19 cases that were transmitted before and after the introduction of the decree in the Bologna Local Health Authority., Methods: Cases were classified as transmitted before or after the decree according to the date of last contact with a COVID-19 case or, if this date was unavailable, we used the date of onset of symptoms considering the incubation period. Sociodemographic, clinical and epidemiological information was collected by using the infectious disease monitoring database, hospital discharge, deprivation index and long term care facility databases., Results: In the period after the publication of the decree, there were more elderly, females, strangers, retired, residents in nursing homes and deprived people than in the first period. There were also more health care personnel and less professionals/managers, sales or office workers. In both phases, family is mentioned as the first community attended although less frequently in the second group., Conclusions: The profile of the new COVID-19 cases changed during the outbreak suggesting a differential effect of lockdown measures on the population. An equity lens should be used when analyzing the impact of pandemia and the measures taken to curb it.

Objectives: to develop and validate a predictive model of mortality or emergency hospitalization in all subjects aged 65 years and over., Design: cohort study based on 9 different databases linked with each other., Setting and Participants: the model was developed on the population aged 65 years and over resident at 01.01.2011 for at least two years in the city of Bologna (Emilia-Romagna Region, Northern Italy); 96,000 persons were included., Main Outcome Measures: the outcome was defined in case of emergency hospitalization or death during the one-year follow-up and studied with a logistic regression model. The predictive ability of the model was evaluated by using the area under the Roc curve, the Hosmer-Lemeshow test, and the Brier score in the derivation sample (2/3 of the population). These tests were repeated in the validation sample (1/3 of the population) and in the population of Bologna aged 65 years and over on 01.01.2012, after applying the coefficients of the variables obtained in the derivation model. By using the regression coefficients, a frailty index (risk score) was calculated for each subject later categorized in risk classes., Results: the model is composed of 28 variables and has good predictive abilities. The area under the Roc curve of the derivation sample is 0.77, the Hosmer-Lemeshow test is not significant, and the Brier score is 0.11. Similar performances are obtained in the other two samples. With increasing risk class, the mean age, number of hospitalizations, emergency room service consultations, and multiple drug prescriptions increase, while the average income decreases., Conclusion: the model has good predictive ability. The frailty index can be used to support a proactive medicine and stratify the population, plan clinical and preventive activities or identify the potential beneficiaries of specific health promotion projects.

Background: Cesarean delivery (CD) rates are rising in many parts of the world. To define strategies to reduce them, it is important to identify their clinical and organizational determinants. The objective of this cross-sectional study is to identify sub-types of women at higher risk of CD using demographic, clinical and organizational variables., Methods: All hospital discharge records of women who delivered between 2005 and mid-2010 in the Emilia-Romagna Region of Italy were retrieved and linked with birth certificates. Sociodemographic and clinical information was retrieved from the two data sources. Organizational variables included activity volume (number of births per year), hospital type, and hour and day of delivery. A classification tree analysis was used to identify the variables and the combinations of variables that best discriminated cesarean from vaginal delivery., Results: The classification tree analysis indicated that the most important variables discriminating the sub-groups of women at different risk of cesarean section were: previous cesarean, mal-position/mal-presentation, fetal distress, and abruptio placentae or placenta previa or ante-partum hemorrhage. These variables account for more than 60% of all cesarean deliveries. A sensitivity analysis identified multiparity and fetal weight as additional discriminatory variables., Conclusions: Clinical variables are important predictors of CD. To reduce the CD rate, audit activities should examine in more detail the clinical conditions for which the need of CD is questionable or inappropriate.

Background: Caesarean section (CS) rate is a quality of health care indicator frequently used at national and international level. The aim of this study was to assess whether adjustment for Robson's Ten Group Classification System (TGCS), and clinical and socio-demographic variables of the mother and the fetus is necessary for inter-hospital comparisons of CS rates., Methods: The study population includes 64,423 deliveries in Emilia-Romagna between January 1, 2003 and December 31, 2004, classified according to theTGCS. Poisson regression was used to estimate crude and adjusted hospital relative risks of CS compared to a reference category. Analyses were carried out in the overall population and separately according to the Robson groups (groups I, II, III, IV and V-X combined). Adjusted relative risks (RR) of CS were estimated using two risk-adjustment models; the first (M1) including the TGCS group as the only adjustment factor; the second (M2) including in addition demographic and clinical confounders identified using a stepwise selection procedure. Percentage variations between crude and adjusted RRs by hospital were calculated to evaluate the confounding effect of covariates., Results: The percentage variations from crude to adjusted RR proved to be similar in M1 and M2 model. However, stratified analyses by Robson's classification groups showed that residual confounding for clinical and demographic variables was present in groups I (nulliparous, single, cephalic, ≥37 weeks, spontaneous labour) and III (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, spontaneous labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour) and to a minor extent in groups II (nulliparous, single, cephalic, ≥37 weeks, induced or CS before labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour)., Conclusions: The TGCS classification is useful for inter-hospital comparison of CS section rates, but residual confounding is present in the TGCS strata.

Background: Recent immigrants face various difficulties in adjusting to western countries and show a high prevalence of mental disorders. Access to a culturally appropriate community mental health centre (CMHC) is crucial for immigrants (Bhui et al., 2007). The Bologna West Transcultural Psychiatric Team (BoTPT, Tarricone et al., 2009) is one of the first projects in Italy that prioritizes cultural competence care. This paper aims to evaluate the effectiveness of this service and to describe what characteristics of patient and psychiatric intervention are related to 'drop-out'., Method: All migrants who consecutively attended the BoTPT between 1 July 1999 and 30 June 2008 were included and evaluated at first contact and again six months later., Results: After six months we followed up 162 patients; 32 (17.9%) of these had interrupted treatment. Non-Asian origin, a recent history of migration and not receiving social intervention were the strongest predictors of drop-out cases., Conclusion: Psychiatric consultation services to migrants could be made more effective by enhancing: (a) cultural competence, through cultural mediator involvement; and (b) social support from the first psychiatric contact. These two characteristics of psychiatric consultation could be developed from resources ordinarily present in the context of a CMHC and could then become a cost-effective strategy for addressing mental health needs among first-generation immigrants.

Background: Caesarean delivery (CD) rates have been frequently used as quality measures for maternity service comparisons. More recently, primary CD rates (CD in women without previous CD) or CD rates within selected categories such as nulliparous, term, cephalic singleton deliveries (NTCS) have been used. The objective of this study is to determine the extent to which risk adjustment for clinical and socio-demographic variables is needed for inter-hospital comparisons of CD rates in women without previous CD and in NTCS deliveries., Methods: Hospital discharge records of women who delivered in Emilia-Romagna Region (Italy) from January, 2007 to June 2009 and in Tuscany Region for year 2009 were linked with birth certificates. Adjusted RRs of CD in women without a previous Caesarean and NTCS were estimated using Poisson regression. Percentage differences in RR before and after adjustment were calculated and hospital rankings, based on crude and adjusted RRs, were examined., Results: Adjusted RR differed substantially from crude RR in women without a previous Caesarean and only marginally in NTCS group. Hospital ranking was markedly affected by adjustment in women without a previous CD, but less in NTCS., Conclusion: Risk adjustment is warranted for inter-hospital comparisons of primary CD rates but not for NTCS CD rates. Crude NTCS CD rates are a reliable estimate of adjusted NTCS CD.

Objective: To estimate the incidence of peripartum hysterectomy in an Italian Region (Emilia-Romagna) and investigate its association with cesarean delivery., Design: Population-based retrospective study using hospital discharge records., Setting: All public and private hospitals in Emilia-Romagna region, Italy., Population: A total of 151,494 women delivering between 2003 and 2006, 131 of whom had a peripartum hysterectomy., Methods: Peripartum hysterectomy was defined as a hysterectomy performed at the time of delivery or afterwards during the same hospitalization. Incidence rates were calculated by type of delivery. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated with logistic regression to evaluate the association between peripartum hysterectomy and delivery type., Main Outcome Measures: Incidence rates of peripartum hysterectomy by type of delivery; odds of peripartum hysterectomy after primary or repeat cesarean compared with vaginal delivery without previous cesarean., Results: A total of 131 peripartum hysterectomies were performed among 151,494 deliveries (0.86/1,000 deliveries; 95% CI 0.72-1.03) with 20.7% primary and 9.6% repeat cesarean deliveries. Women undergoing a primary caesarean delivery were more likely to have a peripartum hysterectomy than women having a vaginal delivery who had never had a cesarean delivery (OR 6.48; 95% CI 4.16-10.07). Women undergoing a repeat caesarean delivery were also at increased risk (OR 3.69; 95% CI 2.11-6.46)., Conclusions: In this population, primary and repeat cesarean deliveries are associated with an increased risk of peripartum hysterectomy. These results are of particular concern given the steady increase in the cesarean delivery rate in many countries. The pathological mechanism of this association requires further investigation.

Background: Cesarean section rates is often used as an indicator of quality of care in maternity hospitals. The assumption is that lower rates reflect in developed countries more appropriate clinical practice and general better performances. Hospitals are thus often ranked on the basis of caesarean section rates. The aim of this study is to assess whether the adjustment for clinical and sociodemographic variables of the mother and the fetus is necessary for inter-hospital comparisons of cesarean section (c-section) rates and to assess whether a risk adjustment model based on a limited number of variables could be identified and used., Methods: Discharge abstracts of labouring women without prior cesarean were linked with abstracts of newborns discharged from 29 hospitals of the Emilia-Romagna Region (Italy) from 2003 to 2004. Adjusted ORs of cesarean by hospital were estimated by using two logistic regression models: 1) a full model including the potential confounders selected by a backward procedure; 2) a parsimonious model including only actual confounders identified by the "change-in-estimate" procedure. Hospital rankings, based on ORs were examined., Results: 24 risk factors for c-section were included in the full model and 7 (marital status, maternal age, infant weight, fetopelvic disproportion, eclampsia or pre-eclampsia, placenta previa/abruptio placentae, malposition/malpresentation) in the parsimonious model. Hospital ranking using the adjusted ORs from both models was different from that obtained using the crude ORs. The correlation between the rankings of the two models was 0.92. The crude ORs were smaller than ORs adjusted by both models, with the parsimonious ones producing more precise estimates., Conclusion: Risk adjustment is necessary to compare hospital c-section rates, it shows differences in rankings and highlights inappropriateness of some hospitals. By adjusting for only actual confounders valid and more precise estimates could be obtained.

Background: Infant mortality rate (IMR) is used as a population health indicator. We provide an updated description of temporal and geographical trends of IMR in Italy., Methods: Regional data on infant deaths and live births were available for France, Germany, England, Portugal (1999-2000), and Italy (1990-2001). Mortality rates including 95% CIs and time-trends were computed., Results: IMR was 4.5 per 1000 live births in 1999-2001. Between 1999-2001 and 1990-1992 both neonatal and post-neonatal mortality rates declined (P < 0.05) but not the North/South ratio. In 1999-2000 the regional variability in IMR was higher in Italy than in other European countries., Conclusion: Despite progresses in reducing IMR, geographical disparities persist within Italy.