Project description:This is a population-based prospective cohort study on archive data describing the age- and sex-specific prevalence of COVID-19 and its prognostic factors. All 2653 symptomatic patients tested positive for SARS-CoV-2 from February 27 to April 2, 2020 in the Reggio Emilia province, Italy, were included. COVID-19 cumulative incidence, hospitalization and death rates, and adjusted hazard ratios (HR) with 95% confidence interval (95% CI) were calculated according to sociodemographic and clinical characteristics. Females had higher prevalence of infection than males below age 50 (2.61 vs. 1.84 ‰), but lower in older ages (16.49 vs. 20.86 ‰ over age 80). Case fatality rate reached 20.7% in cases with more than 4 weeks follow up. After adjusting for age and comorbidities, men had a higher risk of hospitalization (HR 1.4 95% CI 1.2 to 1.6) and of death (HR 1.6, 95% CI 1.2 to 2.1). Patients over age 80 compared to age < 50 had HR 7.1 (95% CI 5.4 to 9.3) and HR 27.8 (95% CI 12.5 to 61.7) for hospitalization and death, respectively. Immigrants had a higher risk of hospitalization (HR 1.3, 95% CI 0.99 to 1.81) than Italians and a similar risk of death. Risk of hospitalization and of death were higher in patients with heart failure, arrhythmia, dementia, coronary heart disease, diabetes, and hypertension, while COPD increased the risk of hospitalization (HR 1.9, 95% CI 1.4 to 2.5) but not of death (HR 1.1, 95% CI 0.7 to 1.7). Previous use of ACE inhibitors had no effect on risk of death (HR 0.97, 95% CI 0.69 to 1.34). Identified susceptible populations and fragile patients should be considered when setting priorities in public health planning and clinical decision making.
Project description:BackgroundIn industrialized countries, improvements have been made in both maternal and newborn health. While attention to antenatal care is increasing, excessive medicalization is also becoming more common.The aim of this study is to compare caesarean section (CS) frequency and ultrasound scan utilization in a public model of care involving both midwives and obstetricians with a private model in which care is provided by obstetricians only.MethodsDesignObservational population-based study.SettingReggio Emilia Province.Population5957 women resident in the province who delivered between October 2010 and November 2011.Main outcome measuresCS frequency and ultrasound scan utilization, stillbirths, and other negative perinatal outcomes. Women in the study were searched in the public family and reproductive health clinic medical records to identify those cared for in the public system. Outcomes of the two antenatal care models were compared through multivariate logistic regression adjusting for maternal characteristics and, for CS only, by stratifying by Robson's Group.ResultsCompared to women cared for in private services (N = 3,043), those in public service (N = 2,369) were younger, less educated, more frequently non-Italian, and multiparous. The probability of CS was slightly higher for women cared for by private obstetricians than for those cared for in the public system (31.8% vs. 27.1%; adjusted odds ratio: 1.10; 95% CI: 0.93-1.29): The probability of having more than 3 ultrasound scans was higher in private care (89.6% vs. 49.8%; adjusted odds ratio: 5.11; 95% CI: 4.30-6.08). CS frequency was higher in private care for all Robson's classes except women who underwent CS during spontaneous labour. Among negative perinatal outcomes only a higher risk of pre-term birth was observed for pregnancies cared for in private services.ConclusionsThe public model provides less medicalized and more guidelines-oriented care than does the private model, with no increase in negative perinatal outcomes.
Project description:AimsTo compare the effectiveness of integrated care with that of the diabetes clinic care model in terms of mortality and hospitalisation of type 2 diabetes patients with low risk of complications.MethodsOut of 27234 people with type 2 diabetes residing in the province of Reggio Emilia on 31/12/2011, 3071 were included in this cohort study as eligible for integrated care (i.e., low risk of complications) and cared for with the same care model for at least two years. These patients were followed up from 2012 to 2016, for all-cause and diabetes-related mortality and hospital admissions. We performed a Poisson regression model, using the proportion of eligible patients included in the integrated care model for each general practitioner as an instrumental variable.Results1700 patients were cared for by integrated care and 1371 by diabetes clinics. Mortality rate ratios were 0.83 (95%CI 0.60-1.13) and 0.95 (95%CI 0.54-1.70) for all-cause and cardiovascular mortality, respectively, and incidence rate ratios were 0.90 (95%CI 0.76-1.06) and 0.91 (95%CI 0.69-1.20) for all-cause and cardiovascular disease hospitalisation, respectively.ConclusionFor low risk patients with type 2 diabetes, the integrated care model involving both general practitioner and diabetes clinic professionals showed similar mortality and hospitalisation as a model with higher use of specialized care in an exclusively diabetes clinic setting.
Project description:AimsWe aim to monitor and improve the quality of the heart failure (HF) integrated assistance model defined by national and regional guidelines and implemented in the province of Reggio Emilia, Italy. Specific aims of the audit were to estimate the prevalence of HF, describe the characteristics of patients with HF and the rate of patients enrolled in the integrated care treated in primary care, and identify socioeconomic and geographic determinants of the 4-year survival of these patients.Methods and resultsRetrospective analysis of a cohort of prevalent cases of HF, diagnosed before 31 December 2015 in Reggio Emilia, Italy, alive on 1 January 2016, and residing at the time of diagnosis on the provincial territory. Age and sex-adjusted prevalence of HF by area of residence were calculated according to the standard European population 2013. Patients were followed until death or 31 December 2019, whatever came first. The outcome measure of the study was four-year case fatality. Cox proportional hazards models, adjusted for age, sex, and duration of disease were used to determine the association between socio-geographic factors and death. The 4-year case-fatality rate was 36.7%, and it was the highest in the mountains (50.8%) compared with hills (34.6%), lowland (35.4%) and city (37.7%). The prevalence of HF was the lowest in the mountain [149.9, 95% confidence interval (CI) 112.1-187.7] and the highest in the lowland (340.8, 95% CI 308.7-372.9) and city (308, 95% CI 276.0-321.2). Patients living in the mountains had a lower deprivation index, and fewer hospitalizations prior to official diagnosis, although these characteristics were not statistically significant determinants of HF death in multivariate analysis. Behavioural (smoking and obesity) and socio-geographic characteristics (educational level, deprivation index and area of residence) were not significantly associated with mortality in both univariable and multivariable analysis; however, patients who live in mountains (hazard ratio 1.10, 95% CI 0.73-1.66) or hills (hazard ratio 1.11, 95% CI 0.90-1.37) had a slightly higher risk of death than those living in the city. Only 197 (12.1%) of patients in the cohort were enrolled in the integrated care pathway over the course of 4 years.ConclusionsAlthough clinical determinants outweigh the geographic and behavioural disparities in the survival of patients with CHF treated in primary care, effective prevention strategies are needed to address environmental and socio-geographic inequalities in access to primary care and to hasten equitable linkage to integrated care.
Project description:BackgroundUnderstanding the epidemiology of reinfections is crucial for SARS-CoV-2 control over a long period.AimTo evaluate the risk of SARS-CoV-2 reinfection by vaccination status, predominant variant and time after first infection.MethodsWe conducted a cohort study including all residents in the Reggio Emilia province on 31 December 2019, followed up until 28 February 2022 for SARS-CoV-2 first infection and reinfection after 90 days. Cox models were used to compare risk of first infection vs reinfection, adjusting for age, sex, vaccine doses and comorbidities.ResultsThe cohort included 538,516 residents, 121,154 with first SARS-CoV-2 infections and 3,739 reinfections, most in the Omicron BA.1 period. In the pre-Omicron period, three doses of vaccine reduced risk of reinfection by 89% (95% CI: 87-90), prior infection reduced risk by 90% (95% CI: 88-91), while two doses and infection reduced risk by 98% (95% CI: 96-99). In the Omicron BA.1 period, protection estimates were 53% (95% CI: 52-55), 9% (95% CI: 4-14) and 76% (95% CI: 74-77). Before Omicron, protection from reinfection remained above 80% for up to 15 months; with Omicron BA.1, protection decreased from 71% (95% CI: 65-76) at 5 months to 21% (95% CI: 10-30) at 22 months from the first infection. Omicron BA.1 reinfections showed 48% (95% CI: 10-57) lower risk of severe disease than first infections.ConclusionsNatural immunity acquired with previous variants showed low protection against Omicron BA.1. Combined vaccination and natural immunity seems to be more protective against reinfection than either alone. Vaccination of people with prior infection reduced the risk of severe disease.
Project description:The aim of this population-based study was to evaluate the impact of being a cancer survivor (CS) on COVID-19 risk and prognosis during the first wave of the pandemic (27 February 2020 to 13 May 2020) in Reggio Emilia Province. Prevalent cancer cases diagnosed between 1996 and 2019 were linked with the provincial COVID-19 surveillance system. We compared CS' cumulative incidence of being tested, testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), being hospitalized and dying of COVID-19 with that of the general population; we compared COVID-19 prognosis in CS and in patients without cancer. During the study period, 15 391 people (1527 CS) underwent real-time polymerase chain reaction for SARS-CoV-2, of whom 4541 (447 CS) tested positive; 541 (113 CS) died of COVID-19. CS had higher age- and sex-adjusted incidence rate ratios (IRR) of testing (1.28 [95% confidence interval, CI = 1.21-1.35]), of positive test (IRR 1.06 [95% CI = 0.96-1.18]) and of hospitalization and death (IRR 1.27 [95% CI = 1.09-1.48] and 1.39 [95%CI = 1.12-1.71], respectively). CS had worse prognosis when diagnosed with COVID-19, particularly those below age 70 (adjusted odds ratio [OR] of death 5.03; [95% CI = 2.59-9.75]), while the OR decreased after age 70. The OR of death was higher for CS with a recent diagnosis, that is, <2 years (OR = 2.92; 95% CI = 1.64-5.21), or metastases (OR = 2.09; 95% CI = 0.88-4.93). CS showed the same probability of being infected, despite a slightly higher probability of being tested than the general population. Nevertheless, CS were at higher risk of death once infected.
Project description:This study aimed to explore how metaphors were used to interpret the pandemic and to address its challenges in primary and secondary schools in Reggio Emilia, Italy. A questionnaire was administered to educators and teachers to understand how languages, images, and metaphors were used by themselves and their students to talk about the pandemic and their experiences of living with it. The goal of the questionnaire was to guide critical reflection and encourage more informed language choices. While the existing literature points out the alleged overuse of war metaphors and military frames in public discourse, our findings show that war metaphors are relatively frequent, with other metaphorical frames widely used by teachers and educators to foster resilient attitudes in students. Moreover, in their professional contexts, teachers and educators mostly use metaphorical frames involving resilient attitudes. Our interpretation of the results supports the hypothesis that the purposeful use and deliberate production of metaphors support the choice of metaphors with positive, constructive implications. Finally, some implications of these findings on the theory of metaphor and the methodology of the research are discussed.
Project description:BackgroundInappropriate prescribing of diagnostic procedures leads to overdiagnosis, overtreatment and resource waste in healthcare systems. Effective strategies to measure and to overcome inappropriateness are essential to increasing the value and sustainability of care. We aimed to describe the determinants of inappropriate reporting of the clinical question and of inappropriate imaging and endoscopy referrals through an analysis of general practitioners' (GP) referral forms in the province of Reggio Emilia, Italy.MethodsA clinical audit was conducted on routinely collected referral forms of all GPs of Reggio Emilia province. All prescriptions for gastroscopy, colonoscopy, neurological and musculoskeletal computerised tomography (CT) and magnetic resonance imaging (MRI) from 2012 to 2017 were included. The appropriateness of referral forms was assessed using Clinika VAP software, which combines semantic analysis of clinical questions and available metadata. Local protocols agreed on by all physicians defined criteria of appropriateness. Two multilevel logistic models were used to identify multiple predictors of inappropriateness of referral forms and to analyse variability among GPs, primary care subdistricts and healthcare districts.ResultsOverall, 37% of referral forms were classified as inappropriate, gastroscopy and CT showed higher proportions of inappropriate referrals compared to colonoscopy and MRI. Inappropriateness increased with patient age for CT and MRI; for gastroscopy, it was lower for patients aged 65-84 compared to those younger, and for colonoscopy, it was higher for older patients. Fee exemptions were associated with inappropriateness in MRI referral forms. The effect of GPs' practice organization was consistent across all tests, showing higher inappropriateness for primary care medical networks than in primary care medical groups. Male GPs were associated with inappropriateness in endoscopy, and older GPs were associated with inappropriateness in musculoskeletal CT. While there was moderate variability in the inappropriate prescribing among GPs, there was not among the healthcare districts or primary care subdistricts.ConclusionsRoutinely collected data and IT tools can be useful to identify and monitor diagnostic procedures at high risk of inappropriate prescribing. Assessing determinants of inappropriate referral makes it possible to tailor educational and organizational interventions to those who need them.
Project description:The study aims to describe the distribution of patients with type 2 diabetes (T2D) by care plan and to highlight determinants of underuse and overuse of integrated care (IC). This cross-sectional study included all T2D patients resident in Reggio Emilia on 31/12/2015 based on the population-based diabetes registry. Eligibility for IC requires good glycaemic control, no rapid insulin, no kidney failure and no diabetes complications. We calculated the proportion of IC underuse and overuse and adjusted prevalence estimate using multivariate logistic regression. Determinants were age, sex, citizenship, district of residence and time since diagnosis. Of 29,776 patients, 15,364 (51.6%) were in diabetes clinic plan, 9851 (33.1%) in IC plan and 4561 (15.3%) not in any care plan (i.e., in Other group). There were 10,906 (36.6%) patients eligible for IC, of whom 1000 in Other group. When we adjusted for all covariates and restricted the analysis to patients included in care plans, the proportion of those eligible for IC plan but cared for in diabetes clinic plan (i.e. underuse of IC) was 28% (n = 3028/9906; 95%CI 27-29). Similarly, the proportion of those not eligible for IC but cared for in IC plan (i.e. overuse of IC) was 11% (n = 1720/11,896; 95%CI 10-11).The main determinant of both IC underuse and overuse was the district of residence. Foreign status was associated with underuse (37%; 95%CI 33-43), while old age (≥80 years) with both underuse (36%; 95%CI 0.33-0.38) and overuse (23%; 95%CI 22-25). The criterion for suspension of IC plan most frequently found was renal failure, followed by hospitalization for diabetes-related complications. Patients are more often allocated to more specialized settings than not. Healthcare provider-related factors are the main determinants of inappropriate setting allocation.
Project description:ObjectiveTo assess the effect of insulin on cancer incidence in type 1 (T1DM) and type 2 diabetes (T2DM).MethodsThe cohort included all 401,172 resident population aged 20-84 in December 2009 and still alive on December 2011, classified for DM status. Drug exposure was assessed for 2009-2011 and follow up was conducted from 2012 to 2016 through the cancer registry. Incidence rate ratios (IRRs) were computed for all sites and for the most frequent cancer sites.Resultsamong residents, 21,190 people had diabetes, 2282 of whom were taking insulin; 1689 cancers occurred, 180 among insulin users. The risk for all site was slightly higher in people with T2DM compared to people without DM (IRR 1.21, 95% CI 1.14-1.27), with no excess for T1DM (IRR 0.73, 95% CI 0.45-1.19). The excess in T2DM remained when comparing with diet-only treatment. In T2DM, excess incidence was observed for liver and pancreas and for NETs: 1.76 (95% CI 1.44-2.17) and 1.37 (95% CI 0.99-1.73), respectively. For bladder, there was an excess both in T1DM (IRR 3.00, 95% CI 1.12, 8.02) and in T2DM (IRR1.27, 95% CI 1.07-1.50).ConclusionsInsulin was associated with a 20% increase in cancer incidence. The risk was higher for liver, pancreatic, bladder and neuroendocrine tumours.