Publications by authors named "Marcello De Giorgi"

Background: Dementia is prevalent among the elderly, also representing a risk for seizures/epilepsy. Estimations of epilepsy risk in dementia patients are not widely available.

Objective: Our research aims to ascertain the incidence of epilepsy and its associated risk factors in subjects with dementia in the Umbria region, based on data from healthcare databases.

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Introduction: The health status and health care needs of immigrant populations must be assessed. The aim of this study was to evaluate barriers to accessing primary care and the appropriateness of health care among resident immigrants in Italy, using indicators regarding maternal health, avoidable hospitalization, and emergency care.

Methods: Cross-sectional study using some indicators of the National Monitoring System of Health Status and Healthcare of the Immigrant Population (MSHIP), coordinated by the National Institute for Health, Migration and Poverty (INMP), calculated on perinatal care, hospital discharge, and emergency department databases for the years 2016-2017 in nine Italian regions (Piedmont, Trento, Bolzano, Emilia-Romagna, Tuscany, Umbria, Latium, Basilicata, Sicily).

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Post-stroke epilepsy (PSE) requires long-term treatment with antiseizure medications (ASMs). However, epidemiology of PSE and long-term compliance with ASM in this population are still unclear. Here we report, through population-level healthcare administrative data, incidence, risk factors, ASM choice, and ASM switch over long-term follow-up.

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Objectives: to evaluate maternal and child healthcare, avoidable hospitalisation, access to emergency services among immigrants in Italy.

Design: cross sectional study of some health and health care indicators among Italian and foreign population residing in Italy in 2016-2017.

Setting And Participants: indicators based on the national monitoring system coordinated by the Italian National Institute for Health, Migration and Poverty (INMP) of Rome, calculated on perinatal care (CedAP), hospital discharge (SDO), emergency services (EMUR) archives for the years 2016-2017, by of the following regions: Piedmont, Trento, Bolzano, Emilia-Romagna, Tuscany, Umbria, Lazio, Basilicata, Sicily.

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Background: Peptic ulcer is a widespread disease, frequently complicated by perforation and bleeding. Administrative databases are useful tool to perform epidemiological and drug utilization studies, but they need a validation process based on a comparison with the original data contained in the medical charts. Our aim was to evaluate the accuracy of the ICD-9 codes in identifying patients with peptic ulcer and gastrointestinal hemorrhage in the regional administrative database of Umbria.

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Background: Validation of administrative databases for cerebrovascular diseases is crucial for epidemiological, outcome, and health services research. The aim of this study was to validate ICD-9 codes for hemorrhagic or ischemic stroke in administrative databases, to use them for a comprehensive assessment of the burden of disease in terms of major outcomes, such as mortality, hospital readmissions, and use of healthcare resources.

Methods: We considered the hospital discharge abstract database of the Umbria Region (890,000 residents).

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Introduction: Postpartum haemorrhage (PPH) is the main cause of morbidity and mortality for pregnant women. Administrative databases are useful sources of information for the assessment of PPH and related outcomes, once the corresponding ICD-9-CM code is validated. The objective of the present study is to evaluate the accuracy of the ICD-9-CM code related to PPH.

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Introduction: Postpartum haemorrhage (PPH) is one of the main causes of mortality and severe maternal morbidity and its incidence is increasing also in Western countries. Aim of this study is to estimate the incidence and the trend of PPH in the Umbrian population using the validated Umbrian health database and to identify possible determinants for the development of PPH.

Methods: The source of the data was the regional Healthcare Database of the Umbria Region.

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Parkinson's disease is known to pose a significant burden on society in industrialized countries. However, few studies have been conducted in Italy using administrative healthcare databases for epidemiological purposes. We wanted to estimate the incidence and prevalence rates of Parkinson's disease in the Italian region of Umbria by means of linkage between several sources of administrative healthcare data: hospitalization episodes, exemptions from medical charges, drug prescriptions from general practitioners and physicians working in the public sector.

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Article Synopsis
  • The study evaluates how accurately ICD-9-CM codes identify new cases of carcinoma in situ and invasive breast cancer in three Italian regions.
  • Sensitivity and specificity of these codes were assessed against medical charts, showing high accuracy rates, especially for invasive breast cancer (up to 100% sensitivity in some regions).
  • The findings suggest that these administrative databases can effectively identify patients with breast cancer, facilitating research on new cases using the defined criteria.
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Unlabelled: To assess the accuracy of (ICD-9-CM) codes in identifying subjects with colorectal cancer.

Design: A diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (as a reference standard). Case ascertainment based on neoplastic lesion(s) within the colon/rectum and histological documentation from a primary or metastatic site positive for colorectal cancer.

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Objective: To assess if maternal risk profile and Hospital assistential levels were able to influence the inter-Hospitals comparison in the class 1 and 3 of the "The Ten Group Classification System" (TGCS).

Methods: A population-based analysis using data from Institutional data-base of an Italian Region was carried out. The 11 maternity wards were divided into two categories: second-level hospitals (SLH), and first-level hospitals (FLH).

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Introduction: Administrative healthcare databases are useful tools to study healthcare outcomes and to monitor the health status of a population. Patients with cancer can be identified through disease-specific codes, prescriptions and physician claims, but prior validation is required to achieve an accurate case definition. The objective of this protocol is to assess the accuracy of International Classification of Diseases Ninth Revision-Clinical Modification (ICD-9-CM) codes for breast, lung and colorectal cancers in identifying patients diagnosed with the relative disease in three Italian administrative databases.

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