Avoidable Hospitalization for Heart Failure Among a Cohort of 18- to 64-Year-Old Italian Citizens and Immigrants: Results From the Italian Network for Longitudinal Metropolitan Studies.

BACKGROUND: Heart failure (HF) represents a severe public health burden. In Europe, differences in hospitalizations for HF have been found between immigrants and native individuals, with inconsistent results. Immigrants face many barriers in their access to health services, and their needs may be poorly met. We aimed to compare the rates of avoidable hospitalization for HF among immigrants and native individuals in Italy. METHODS: All 18- to 64-year-old residents of Turin, Venice, Reggio Emilia, Modena, Bologna, and Rome between January 1, 2001 and December 31, 2013 were included in this multicenter open-cohort study. Immigrants from high migratory pressure countries (divided by area of origin) were compared with Italian citizens. Age-, sex-, and calendar year-adjusted hospitalization rate ratios and the 95% CIs of avoidable hospitalization for HF by citizenship were estimated using negative binomial regression models. The hospitalization rate ratios were summarized using a random effects meta-analysis. Additionally, we tested the contribution of socioeconomic status to these disparities. RESULTS: Of the 4 470 702 subjects included, 15.8% were immigrants from high migratory pressure countries. Overall, immigrants showed a nonsignificant increased risk of avoidable hospitalization for HF (hospitalization rate ratio, 1.26 [95% CI, 0.97-1.68]). Risks were higher for immigrants from Sub-Saharan Africa and for males from Northern Africa and Central-Eastern Europe than for their Italian citizen counterparts. Risks were attenuated adjusting for socioeconomic status, although they remained consistent with nonadjusted results. CONCLUSIONS: Adult immigrants from different geographic macroareas had higher risks of avoidable hospitalization for HF than Italian citizens. Possible explanations might be higher risk factors among immigrants and reduced access to primary health care services.

Avoidable hospitalisation for diabetes mellitus among immigrants and natives: Results from the Italian Network for Longitudinal Metropolitan Studies.

BACKGROUND AND AIMS: Italy has experienced a relevant increase in migration inflow over the last 20 years. Although the Italian Health Service is widely accessible, immigrants can face many barriers that limit their use of health services. Diabetes mellitus (DM) has a different prevalence across ethnic groups, but studies focusing on DM care among immigrants in Europe are scarce. This study aimed to compare the rates of avoidable hospitalisation (AH) between native and immigrant adults in Italy. METHODS AND RESULTS: A multi-centre open cohort study including all 18- to 64-year-old residents in Turin, Venice, Reggio-Emilia, Modena, Bologna and Rome between 01/01/2001 and 31/12/2013-14 was conducted. Italian citizens were compared with immigrants from high migratory pressure countries who were further divided by their area of origin. We calculated age-, sex- and calendar year-adjusted rate ratios (RRs) and 95% confidence intervals (95% CIs) of AH for DM by citizenship using negative binomial regression models. The RRs were summarized using a random effects meta-analysis. The results showed higher AH rates among immigrant males (RR: 1.63, 95% CI: 1.16-2.23), whereas no significant difference was found for females (RR: 1.14, 95% CI: 0.65-1.99). Immigrants from Asia and Africa showed a higher risk than Italians, whereas those from Central-Eastern Europe and Central-Southern America did not show any increased risk. CONCLUSION: Adult male immigrants were at higher risk of experiencing AH for DM than Italians, with differences by area of origin, suggesting that they may experience lower access to and lower quality of primary care for DM. These services should be improved to reduce disparities.

[Immigrants' health and socioeconomic inequalities of overall population residing in Italy evaluated through the Italian network of Longitudinal Metropolitan Studies]. / Salute degli immigrati e disuguaglianze socioeconomiche nella popolazione residente in Italia valutate attraverso la rete degli Studi Longitudinali Metropolitani.

INTRODUCTION: Describing and monitoring socioeconomic inequalities in health are the prerequisite for planning equity policies. In Italy, some cities have integrated personal information from the municipal registries with Census data and with data from healthcare information systems to set up Longitudinal Metropolitan Studies (LMS). Under the coordination of the Italian National Institute for Health, Migration, and Poverty (NIHMP), six cities in the LMS network have contributed to the present monograph: Turin, Venice, Reggio Emilia, Modena, Bologna, and Rome. MORTALITY RESULTS. Significant socioeconomic differences by level of education were seen in all the participating centres. People who live alone or in single-parent households are more likely to die, as are those living in a substandard dwelling. Immigrants resident in the six cities included in the study showed lower all-cause mortality than Italians (males: MRR 0.83; 95%CI 0.78-0.90 - females: MRR 0.70; 95%CI 0.64-0.77). Sub-Saharan Africans experienced a significant higher mortality than Italians (males: MRR 1.33; 95%CI 1.12-1.59 - females: MMR 1.69; 95%CI 1.31-2.17). Immigrants had a neonatal and post-neonatal mortality risk about 1.5 times higher than Italians (neonatal: OR 1.71; 95%CI 1.22-2.39 - post-neonatal: OR 1.63; 95%CI 1.03-2.57). A difference between Italians and immigrants was also observed for mortality in children aged 1-4 years, though less marked (OR 1.24; 95%CI 0.73-2.11). Excesses concerned particularly immigrants from North Africa and from sub-Saharan Africa as well as those residing in Italy for >5 years. HOSPITALISATION RESULTS. Hospitalisation rates are lower for immigrants than for Italians, except when due to infectious diseases, blood disorders, and, among women, for reasons linked to pregnancy and childbirth. Avoidable hospitalisation rates of adults from low migratory pressure Countries are lower than or equal to those of Italians. On the contrary, adults from low migratory pressure Countries show higher avoidable hospitalisation rates compared to Italians in every cohort, with the exception of Rome (RR 0.81; 95%CI 0.78-0.85), with RR ranging from 1.08 (95%CI 0.96-1.22) in Venice to 1.64 (95%CI 1.47-1.83) in Modena. CONCLUSIONS: Maternal and child health is the most critical area of health for immigrant population. Considering the importance that the issue of health equity has taken on in the political agenda, the data presented in this volume are a great asset, particularly in light of the long recession and the social crisis that have impacted the Country.

A Systematic Review of Case-Identification Algorithms for 18 Conditions Based on Italian Healthcare Administrative Databases: A Study Protocol.

BACKGROUND: there has been a long-standing, consistent use worldwide of Healthcare Administrative Databases (HADs) for epidemiological purposes, especially to identify acute and chronic health conditions. These databases are able to reflect health-related conditions at a population level through disease-specific case-identification algorithms that combine information coded in multiple HADs. In Italy, in the past 10 years, HAD-based case-identification algorithms have experienced a constant increase, with a significant extension of the spectrum of identifiable diseases. Besides estimating incidence and/or prevalence of diseases, these algorithms have been used to enroll cohorts, monitor quality of care, assess the effect of environmental exposure, and identify health outcomes in analytic studies. Despite the rapid increase in the use of case-identification algorithms, information on their accuracy and misclassification rate is currently unavailable for most conditions. OBJECTIVES: to define a protocol to systematically review algorithms used in Italy in the past 10 years for the identification of several chronic and acute diseases, providing an accessible overview to future users in the Italian and international context. METHODS: PubMed will be searched for original research articles, published between 2007 and 2017, in Italian or English. The search string consists of a combination of free text and MeSH terms with a common part on HADs and a disease-specific part. All identified papers will be screened for eligibility by two independent reviewers. All articles that used/defined an algorithm for the identification of each disease of interest using Italian HADs will be included. Algorithms with exclusive use of death certificates, pathology register, general practitioner or pediatrician data will be excluded. Pertinent papers will be classified according to the objective for which the algorithm was used, and only articles that used algorithms with "primary objectives" (I disease occurrence; II population/cohort selection; III outcome identification) will be considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms will be collected. Further information on specific accuracy measures from external validations, sensitivity analyses, and the contribution of each source will be recorded. This protocol will be applied for 16 different systematic reviews concerning eighteen diseases (Hypothyroidism, Hyperthyroidism, Diabetes mellitus, Type 1 diabetes mellitus, Acute myocardial infarction, Ischemic heart disease, Stroke, Hypertension, Heart failure, Congenital heart anomalies, Parkinson's disease, Multiple sclerosis, Epilepsy, Chronic obstructive pulmonary disease, Asthma, Inflammatory bowel disease, Celiac disease, Chronic kidney failure). CONCLUSION: this protocol defines a standardized approach to extensively examine and compare all experiences of case identification algorithms in Italy, on the 18 abovementioned diseases. The methodology proposed may be applied to other systematic reviews concerning diseases not included in this project, as well as other settings, including international ones. Considering the increasing availability of healthcare data, developing standard criteria to describe and update characteristics of published algorithms would be of great use to enhance awareness in the choice of algorithms and provide a greater comparability of results.

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Two Relevant Diseases of the Endocrine System: Diabetes Mellitus and Thyroid Disorders.

BACKGROUND: diabetes mellitus (DM) and thyroid disorders (TDs) are two of the most prevalent and relevant endocrine disorders worldwide, and determining their occurrence and their follow-up pathways is essential. In Italy, due to the presence of a universal health care system, administrative data can be effectively used to determine these measurements. DM is an ideal model for surveillance with administrative data, due to its specific pharmacologic treatment, high rate of hospitalization, and specific care units. The identification of TDs, conversely, is more challenging: they are less frequently managed in a hospital setting, and even if the treatment is highly specific, subclinical forms often do not need any pharmacological treatment. OBJECTIVES: to identify and to describe all DM and TD caseidentification algorithms by means of Italian Healthcare Administrative Databases (HADs), through the review of papers published in the past 10 years. METHODS: this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for "primary objectives" (I disease occurrence; II population/cohort selection; III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses and the contribution of each HAD, have also been recorded. Algorithms were divided between those identifying type 2/not specified DM and type 1 DM, and those created to identify hypo- and hyperthyroidism. RESULTS: of the 780 articles identified for DM, 77 were included and a further 14 papers were added by screening the references. For TD, 65 articles were identified through the search string and 5 of them were included. Of the selected articles, 64% and 80% were published after 2014 for DM and TD, respectively, and 33% (for DM) and 20% (for TD) used multicentric national or international data. Forty original algorithms for DM (29 for type 2 DM/not-specified DM, and 11 for type 1 DM) and 9 for TD (6 for hypo- and 3 for hyperthyroidism) were extracted. In 6 algorithms, specific selections were made so as not to include gestational diabetes. With regard to type 2 DM, the most commonly used sources were the drug prescription database (DPD, 27 cases), hospital discharge record database (HDD, 23 cases), and exemption from healthcare co-payment database (ECD, 19 cases). Other sources were the ambulatory care services database (ACD), birth register, and mortality record database (MRD). Among the 11 algorithms to identify type 1 DM, 9 used DPD, 7 ECD, and 6 HDD; in one case ACD codes were added, and all 11 algorithms but one was applied to a population of young people (always <35 years old). With regard to TDs, 2 algorithms from one paper for hypo and hyperthyroidism relied on DPD as the only source, the other 7 original algorithms combined DPD with HDD (5 cases), ECD (3 cases), and ACD (1 case). One paper identified autoimmune/iodine deficiency hypothyroidism by subtracting iatrogenic hypothyroidism cases (identified through records of previous procedures from HDD and ACD) from the whole hypothyroid population (identified through DPD). External validation was performed for two algorithms for DM and none for TD. The first algorithm for DM was obtained through HDD only and its sensitivity ranged from 61% to 70%, the second had a sensitivity of 71%. CONCLUSION: Italian literature on the use of administrative healthcare data for case identification of diabetes is vast; the proposed algorithms are quite similar to one another, and the differences between them are rarely accompanied by clinical justification. On the contrary, the literature concerning thyroid disorders is relatively poor. Further validations of the proposed algorithms, as well as their further implementation, are needed.

The Role of Maternal Citizenship on Pediatric Avoidable Hospitalization: A Birth Cohort Study in North-East Italy.

OBJECTIVE: Avoidable hospitalization (AH) has been widely studied as a possible measure of primary health care performance. Since studies evaluating AH in migrant children, particularly in Europe, are lacking, the aim of this study was to investigate the role of maternal citizenship on the risk of AH in children. METHODS: The cohort study included all live newborns recorded in the Medical Birth Register (MBR) of Friuli-Venezia Giulia Region (Italy) in the years 1989-2012, followed from 30 d after their birth up to the 14th year of life. Cox regression models were used to estimate Hazard Ratios (HRs) for any AH and for specific conditions. RESULTS: Among the 213,635 children included in the cohort, authors identified 23,011 AHs in 16,744 children, most of which occurred between 1 and 4 y of age. Children born to mothers from High Migration Pressure Countries had a higher risk of AH for any condition (HR 1.35; 95% CI = 1.27-1.44) than children born to Italian mothers. The risks were higher concerning gastroenteritis (HR 1.74; 1.57-1.94), upper respiratory tract infections (HR 1.58; 1.35-1.84), asthma (HR 1.53; 1.12-2.06) and bacterial pneumonia (HR 1.18; 1.01-1.37). There were no differences in urinary tract infections, short term complications of diabetes and perforated appendix. CONCLUSIONS: Despite the inclusiveness and universality of the Italian healthcare system, children born to immigrant mothers experienced more need of avoidable hospital care than children born to Italian mothers. Access barriers to primary care are plausible causes for the observed disparities.

National immunization strategies targeting migrants in six European countries.

Over the last three years an unprecedented flow of migrants arrived in Europe. There is evidence that vaccine preventable diseases have caused outbreaks in migrant holding centres. These outbreaks can be favored by a combination of factors including low immunization coverage, bad conditions that migrants face during their exhausting journey and overcrowding within holding facilities. In 2017, we conducted an online survey in Croatia, Greece, Italy, Malta, Portugal and Slovenia to explore the national immunization strategies targeting irregular migrants, refugees and asylum seekers. All countries stated that a national regulation supporting vaccination offer to migrants is available. Croatia, Italy, Portugal and Slovenia offer to migrant children and adolescents all vaccinations included in the National Immunization Plan; Greece and Malta offer only certain vaccinations, including those against diphtheria-tetanus-pertussis, poliomyelitis and measles-mumps-rubella. Croatia, Italy, Malta and Portugal also extend the vaccination offer to adults. All countries deliver vaccinations in holding centres and/or community health services, no one delivers vaccinations at entry site. Operating procedures that guarantee the migrants' access to vaccination at the community level are available only in Portugal. Data on administered vaccines is available at the national level in four countries: individual data in Malta and Croatia, aggregated data in Greece and Portugal. Data on vaccination uptake among migrants is available at national level only in Malta. Concluding, although diversified, strategies for migrant vaccination are in place in all the surveyed countries and generally in line with WHO and ECDC indications. Development of procedures to keep track of migrants' immunization data across countries, development of strategies to facilitate and monitor migrants' access to vaccinations at the community level and collection of data on vaccination uptake among migrants should be promoted to meet existing gaps.

Immunization Offer Targeting Migrants: Policies and Practices in Italy.

The unprecedented flow of migrants over the last three years places Italy in front of new issues regarding medical care from the rescue phase up to the integration into the national health services, including preventive actions. We used online questionnaires to investigate the Italian national and regional policies for immunization offer targeting asylum seekers, refugees, irregular migrants and unaccompanied minors. Another questionnaire was used to assess how these policies are translated into practice in migrant reception centres and community health services. Questionnaires were filled out at the national level, in 14 out of 21 Regions/Autonomous Provinces, and in 36 community health services and 28 migrant reception centres. Almost all responders stated that all vaccinations included in the National Immunization Plan are offered to migrant children and adolescents. The situation concerning adults is fragmented, with most of the Regions and local centres offering more vaccines than the national offer-which include polio, tetanus and measles⁻mumps-rubella. Data on immunized immigrants is archived at the regional/local level with different methods and not available at the national level. Further efforts to ensure consistency in vaccine provision and adequate mechanisms of exchanging data are needed to guarantee a complete vaccination offer and avoid unnecessary health actions, including unnecessary re-vaccination.