16 results match your criteria: "Veneto's Research Centre for eHealth Innovation[Affiliation]"

Predicting the risk of cardiovascular complications, in particular heart failure hospitalisation (HHF), can improve the management of type 2 diabetes (T2D). Most predictive models proposed so far rely on clinical data not available at the higher Institutional level. Therefore, it is of interest to assess the risk of HHF in people with T2D using administrative claims data only, which are more easily obtainable and could allow public health systems to identify high-risk individuals.

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Aim: We aimed to compare cardiovascular outcomes of patients with type 2 diabetes (T2D) who initiated GLP-1 receptor agonists (GLP-1RA) or basal insulin (BI) under routine care.

Methods: We accessed the administrative claims database of the Veneto Region (Italy) to identify new users of GLP-1RA or BI in 2014-2018. Propensity score matching (PSM) was implemented to obtain two cohorts of patients with superimposable characteristics.

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Article Synopsis
  • The study aimed to compare cardiovascular outcomes between type 2 diabetes patients using SGLT2 inhibitors and DPP4 inhibitors in routine care settings.
  • Researchers analyzed data from over 5.2 million people to identify those starting these medications from 2014 to 2018 and focused on major cardiovascular events.
  • Results indicated that SGLT2i users had significantly lower rates of major cardiovascular events, heart attacks, heart failure hospitalizations, and all-cause mortality compared to DPP4i users, suggesting better overall health outcomes for SGLT2i.
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Aims: Glucagon like peptide-1 (GLP-1) receptor agonists (GLP-1RA) are effective to control type 2 diabetes (T2Ds) and can protect from adverse cardiovascular outcomes. GLP-1RA are based on the human GLP-1 or the exendin-4 sequence. We compared cardiovascular outcomes of patients with T2D who received human-based or exendin-based GLP-1RA in routine clinical practice.

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Aim: Concerns have been raised that dipeptidyl-peptidase 4 inhibitors (DPP-4i) may increase the risk of pneumonia. We analysed observational data and clinical trials to explore whether use of DPP-4i modifies the risk of pneumonia.

Methods: We identified patients with diabetes in the Veneto region administrative database and performed propensity score matching between new users of DPP-4 inhibitors and new users of other oral glucose-lowering medications (OGLMs).

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Background: Cardiovascular outcome trials in high-risk patients showed that some GLP-1 receptor agonists (GLP-1RA), but not dipeptidyl-peptidase-4 inhibitors (DPP-4i), can prevent cardiovascular events in type 2 diabetes (T2D). Since no trial has directly compared these two classes of drugs, we performed a comparative outcome analysis using real-world data.

Methods: From a database of ~ 5 million people from North-East Italy, we retrospectively identified initiators of GLP-1RA or DPP-4i from 2011 to 2018.

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Objectives: To evaluate the impact in terms of use of health services, clinical outcomes, functional status, and patient's satisfaction of an integrated care program, the CareWell program, for complex patients with multimorbidity, supported by information and communication technology platforms in six European regions.

Data Sources: Primary data were used and the follow-up period ranged between 8 and 12 months.

Study Design: A quasi-experimental study, targeting chronic patients aged 65 or older, with 2 or more conditions - one of them necessarily being diabetes, congestive heart failure or congestive obstructive pulmonary disease.

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Background And Aims: Diabetes can often remain undiagnosed or unregistered in administrative databases long after its onset, even when laboratory test results meet diagnostic criteria. In the present work, we analyse healthcare data of the Veneto Region, North East Italy, with the aims of: (i) developing an algorithm for the identification of diabetes from administrative claims (4,236,007 citizens), (ii) assessing its reliability by comparing its performance with the gold standard clinical diagnosis from a clinical database (7525 patients), (iii) combining the algorithm and the laboratory data of the regional Health Information Exchange (rHIE) system (543,520 subjects) to identify undiagnosed diabetes, and (iv) providing a credible estimate of the true prevalence of diabetes in Veneto.

Methods And Results: The proposed algorithm for the identification of diabetes was fed by administrative data related to drug dispensations, outpatient visits, and hospitalisations.

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Seventy four Reference Sites of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) have been recognised by the European Commission in 2016 for their commitment to excellence in investing and scaling up innovative solutions for active and healthy ageing. The Reference Site Collaborative Network (RSCN) brings together the EIP on AHA Reference Sites awarded by the European Commission, and Candidate Reference Sites into a single forum. The overarching goals are to promote cooperation, share and transfer good practice and solutions in the development and scaling up of health and care strategies, policies and service delivery models, while at the same time supporting the action groups in their work.

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Background: The effectiveness of remote monitoring (RM) in the management of the elderly after hospitalisation for heart failure (HF) is uncertain.

Methods And Results: Randomized trial (2:1 design) comparing RM with usual care (UC) in patients >65 years old, hospitalised in the previous 3 months for HF with left ventricular ejection fraction <40% or >40% plus BNP > 400 (or NT-proBNP >1500); the primary end-point (PE) was the combined 12-month incidence of death by any cause or at least one hospital readmission for HF. Overall, 229 and 110 pts were enrolled in the RM and UC group, respectively; in the intention-to-treat analysis, the PE was reached in 101 (44.

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Introduction: The purpose of this paper is to assess if similar telemedicine services integrated in the management of different chronic diseases are acceptable and well perceived by patients or if there are any negative perceptions.

Theory And Methods: Participants suffering from different chronic diseases were enrolled in Veneto Region and gathered into clusters. Each cluster received a similar telemedicine service equipped with different disease-specific measuring devices.

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Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project.

PLoS One

July 2017

Regional Agency for Healthcare Services of Tuscany, Epidemiology unit, Florence, Italy.

Due to the heterogeneity of existing European sources of observational healthcare data, data source-tailored choices are needed to execute multi-data source, multi-national epidemiological studies. This makes transparent documentation paramount. In this proof-of-concept study, a novel standard data derivation procedure was tested in a set of heterogeneous data sources.

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Background: Type 2 diabetes mellitus (DM) affects 382 million people worldwide.

Introduction: This study aimed at assessing whether telemonitoring (TM) of DM patients improves health-related quality of life (HRQoL).

Materials And Methods: As part of the RENEWING HEALTH project, 299 DM patients with HbA1c >7.

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Background: Patients with implantable devices such as pacemakers (PMs) and implantable cardiac defibrillators (ICDs) should be followed up every 3-12 months, which traditionally required in-clinic visits. Innovative devices allow data transmission and technical or medical alerts to be sent from the patient's home to the physician (remote monitoring). A number of studies have shown its effectiveness in timely detection and management of both clinical and technical events, and endorsed its adoption.

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Background: Neurosurgery is a highly specialized service that, because of high costs, is often centralized. Since 2005, a neurosurgical telecounseling service was defined and then deployed in the Veneto Region. It was aimed at creating the same range of services for head trauma by using standardized protocols at regional levels and at rationalizing the use of human and technological resources by providing a network of services that manages patients at the local level.

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