[HTML][HTML] Data extraction and management in networks of observational health care databases for scientific research: a comparison of EU-ADR, OMOP, Mini-Sentinel …

R Gini, M Schuemie, J Brown, P Ryan, E Vacchi… - Egems, 2016 - ncbi.nlm.nih.gov
Conclusion: Using our conceptual framework we found several areas that would benefit from
research to identify optimal standards for production of empirical knowledge from existing …

Prevalence of chronic diseases by immigrant status and disparities in chronic disease management in immigrants: a population-based cohort study, Valore Project

A Buja, R Gini, M Visca, G Damiani, B Federico… - BMC Public Health, 2013 - Springer
Background For chronic conditions, disparities can take effect cumulatively at various times
as the disease progresses, even when care is provided. The aim of this study was to quantify …

Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems

AM Bargagli, P Colais, N Agabiti, F Mayer, F Buttari… - Journal of …, 2016 - Springer
Compared with other areas of the country, very limited data are available on multiple
sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio …

The European medical information framework: a novel ecosystem for sharing healthcare data across Europe

S Lovestone, EMIF Consortium - Learning health systems, 2020 - Wiley Online Library
Abstract Introduction The European medical information framework (EMIF) was an
Innovative Medicines Initiative project jointly supported by the European Union and the …

[HTML][HTML] Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' …

R Gini, MJ Schuemie, G Mazzaglia, F Lapi… - BMJ open, 2016 - bmjopen.bmj.com
Objectives The Italian project MATRICE aimed to assess how well cases of type 2 diabetes
(T2DM), hypertension, ischaemic heart disease (IHD) and heart failure (HF) and their levels …

A case-mix classification system for explaining healthcare costs using administrative data in Italy

MC Corti, F Avossa, E Schievano, P Gallina… - European journal of …, 2018 - Elsevier
Abstract Background The Italian National Health Service (NHS) provides universal coverage
to all citizens, granting primary and hospital care with a copayment system for outpatient and …

Screening for gestational diabetes in Tuscany, Italy. A population study

G Di Cianni, E Gualdani, C Berni, A Meucci… - diabetes research and …, 2017 - Elsevier
Abstract Aims According to current Italian guidelines, only women at higher risk of
gestational diabetes (GDM) are eligible for receiving a glucose tolerance test (OGTT) during …

Predicting the risk of severe COVID-19 outcomes in primary care: development and validation of a vulnerability index for equitable allocation of effective vaccines

F Lapi, A Domnich, E Marconi, A Rossi… - Expert Review of …, 2022 - Taylor & Francis
ABSTRACT Background General practitioners (GPs) need a valid, user-friendly tool to
identify patients most vulnerable to COVID-19, especially in the hypothesis of a booster …

Cycling promotion and non-communicable disease prevention: health impact assessment and economic evaluation of cycling to work or school in Florence

C Taddei, R Gnesotto, S Forni, G Bonaccorsi… - PLoS …, 2015 - journals.plos.org
Objective To estimate the effects of cycling promotion on major non-communicable diseases
(NCDs) and costs from the public healthcare payer's perspective. Design Health impact …

Prevalence of multiple sclerosis in Tuscany (Central Italy): a study based on validated administrative data

D Bezzini, L Policardo, G Meucci, M Ulivelli… - …, 2016 - karger.com
Background: Multiple Sclerosis (MS) epidemiology in Italy is mainly based on population-
based prevalence studies. Administrative data are an additional source of information, when …