Cohort profile: the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS), a multicentre cohort for socioeconomic inequalities in health monitoring.

PURPOSE: The Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS) is a system of integrated data on health outcomes, demographic and socioeconomic information, and represents a powerful tool to study health inequalities. PARTICIPANTS: IN-LiMeS is a multicentre and multipurpose pool of metropolitan population cohorts enrolled in nine Italian cities: Turin, Venice, Reggio Emilia, Modena, Bologna, Florence, Leghorn, Prato and Rome. Data come from record linkage of municipal population registries, the 2001 population census, mortality registers and hospital discharge archives. Depending on the source of enrolment, cohorts can be closed or open. The census-based closed cohort design includes subjects resident in any of the nine cities at the 2001 census day; 4 466 655 individuals were enrolled in 2001 in the nine closed cohorts. The open cohort design includes subjects resident in 2001 or subsequently registered by birth or immigration until the latest available follow-up (currently 31 December 2013). The open cohort design is available for Turin, Venice, Reggio Emilia, Modena, Bologna, Prato and Rome. Detailed socioeconomic data are available for subjects enrolled in the census-based cohorts; information on demographic characteristics, education and citizenship is available from population registries. FINDINGS TO DATE: The first IN-LiMeS application was the study of differentials in mortality between immigrants and Italians. Either using a closed cohort design (nine cities) or an open one (Turin and Reggio Emilia), individuals from high migration pressure countries generally showed a lower mortality risk. However, a certain heterogeneity between the nine cities was noted, especially among men, and an excess mortality risk was reported for some macroareas of origin and specific causes of death. FUTURE PLANS: We are currently working on the linkage of the 2011 population census data, the expansion of geographical coverage and the implementation of the open design in all the participating cohorts

Communicating epidemiological results through alternative indicators: cognitive interviewing to assess a questionnaire on risk perception in a high environmental risk area

Participatory approaches to environmental research and decision-making require that all social stakeholders are involved from the onset of the debate. In such a setting, communication among different expertise is crucial, but language and technicalities may represent a barrier. In the clinical setting, decisions regarding treatment preferences may be influenced by the summary statistics used, but, according to the literature, no study has compared different statistical indicators for risk communication in environmental epidemiology. In this paper, we report on the qualitative results of the cognitive interviews conducted for assessing two questionnaires devoted to investigating risk perception when selected epidemiological results are communicated, by using different statistical indicators of health impact and uncertainty. The initial questionnaires were tested on 15 people residing in the high environmental risk area of Livorno (Italy). Cognitive interviewing led to substantial revision of the initial drafts. Moreover, it highlighted the difficulty of communicating statistical uncertainty and the need to account for the complex interaction between mathematical skills, affective factors and individual a priori knowledge on environmental risk perception

Quality indicators in acute stroke care: a prospective observational survey in 13 Italian regions

BACKGROUND AND AIMS: Quality monitoring has great relevance in stroke care. The Project "How to guarantee adherence to effective interventions in stroke care" aimed to estimate adherence to acute-phase guidelines in stroke care in Italy. METHODS: A prospective observational study was performed in 27 hospitals of 13 Italian Regions. Adherence to 15 process indicators was evaluated, comparing also stroke units (SU) with conventional wards. An overall score of care, defined as the sum of achieved indicators, was calculated. A multilevel hierarchical model described performance at patient, hospital and regional level. RESULTS: Overall, 484 consecutive stroke patients (mean age, 73.4 years; 52.7 % males) were included. Total score ranged from 2 to 15 (mean 8.5 ± 2.4). SU patients were more often evaluated with the National Institutes of Health Stroke Scale (NIHSS) within 24 h, had more frequently an assessment of pre- and post-stroke disability, and a CT scan the same or the day after admission. Regional-hospital- and patient-level variability explained, respectively, 25, 34, and 41 % of total score variance. In multivariate models, patients >80 years vs. younger showed a change in total score of -0.45 (95 % CI -0.79 to -0.12), and those with NIHSS ≥14 vs. ≤5 of -0.92 (95 % CI -1.53 to -0.30). A negative change means a worse adjusted average adherence to process indicators. SU admission increased total score of 1.55 (95 % CI 0.52-2.58). CONCLUSIONS: Our data confirm the need of quality monitoring in stroke care. Although SU patients showed a better adherence to quality indicators, overall compliance was unsatisfactory

Differences in mortality by immigrant status in Italy. Results of the Italian Network of Longitudinal Metropolitan Studies

Despite a rapid increase in immigration from low-income countries, studies on immigrants’ mortality in Italy are scarce. We aimed to describe differences in all and cause-specific mortality among immigrants and Italians residing in Turin and Reggio Emilia (Northern Italy), two cities participating in the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS). We used individual data from the municipal population registers linked to the cause of death registers. All people aged 1–64 years residing between 2001 and 2010 were enrolled (open cohort) and followed up until 2013. The mortality of citizens from high migratory pressure countries (as a whole, and for each macro-area group) was compared with that of Italians; differences were estimated by Poisson regression adjusted by age and calendar year mortality rate ratios (MRRs), and by age-standardized mortality ratios for the analysis of cause-specific mortality. Compared with Italians, immigrants had lower overall mortality (MRR for men: 0.82, 95 % CI: 0.75–0.90; for women: 0.71, 95 % CI: 0.63–0.81). Sub-Saharan Africans experienced a significant higher mortality than Italians (MRR for men 1.29, 95 % CI: 1.03–1.61; for women: 1.70, 95 % CI: 1.22–2.36). Higher mortality for immigrants compared to Italians was observed for infectious diseases, congenital anomalies, some site-specific tumours and homicide mortality. Our study showed heterogeneity in mortality across the macro-areas of origin, and in particular Sub-Saharan Africans seemed to be a vulnerable population. The extension to other cohorts of IN-LiMeS will allow the health status of immigrants and vulnerable groups to be studied and monitored in more depth