Local Health Authority of Reggio Emilia

Reggio nell'Emilia, Italy

Local Health Authority of Reggio Emilia

Reggio nell'Emilia, Italy
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Ballotari P.,Local Health Authority of Reggio Emilia | Roncaglia F.,Local Health Authority of Reggio Emilia | Chiatamone Ranieri S.,G Mazzini Hospital | Manicardi V.,Hospital of Montecchio | Giorgi Rossi P.,Local Health Authority of Reggio Emilia
Journal of Clinical and Translational Endocrinology | Year: 2016

Aims The aim of this study was to investigate whether subjects included in the diabetes register solely because their HbA1c was over the diagnostic threshold received a diagnosis of diabetes from their general practitioner (GP). Methods The study included all registered cases in 2009-2010 aged 18 or over that were identified only by the laboratory database because they had one or more HbA1c over the 6.5% threshold and for whom we did not find any information in the search of full electronic clinical records. Multilevel logistic regression was used to examine the influence of GP and patient characteristics. Results There were 228 participating GPS (76.3% of those invited) and 832 assessed subjects (68.8% of study population). There was a strong clustering among the GPS (residual intraclass correlation = 0.52, 95% CI 0.40-0.64). About one in two (55.5%) subjects with two or more HbA1c > =6.5% has been diagnosed as diabetic and the percentage declined - unless zeroing - in case the abnormal value was only one (28.3%). The likelihood of being labelled 'no diabetes' was greater in subjects aged less than 65 or over 74 with respect to the reference age group (OR 1.89, 95% CI 1.13-3.15; OR 1.55 95% CI 0.94-2.53). The same likelihood consistently decreased when HbA1c test was accompanied by abnormal fasting plasma glucose (FPG) assay (OR 0.20, 95% CI 0.12-0.32). Conclusions A permanent exchange of information between the diabetes register and GPS should be maintained to improve the care of patients and the awareness of criteria for diabetes diagnosis among GPS. © 2016 The Authors. Published by Elsevier Inc.


Pingani L.,University of Modena and Reggio Emilia | Pingani L.,Local Health Authority of Reggio Emilia | Catellani S.,Local Health Authority of Reggio Emilia | Arnone F.,Private Hospital Villa Maria Luigia | And 5 more authors.
Eating and Weight Disorders | Year: 2012

INTRODUCTION: The aim of the study was to examine possible risk factors for dropout from in-patient treatment for eating disorders (ED). MATERIALS AND METHODS: The present study consisted of a retrospective analysis of clinical and non-clinical available information about 186 patients suffering from ED consecutively admitted into the Villa Maria Luigia Private Hospital (Parma, Italy) in a three-year period (01/01/2006-31/12/2009). Sociodemographics, clinical history and current features, and results to the following psychometric instruments were analysed: Eating Disorder Questionnaire (EDQ), Predisposing, On-set and Maintaining risk factors list for Eating Disorders, Eating Disorders Inventory-II, Body Uneasiness Test and SCL-90. RESULTS: Of the 186 patients, 46 (24.7%) voluntarily left the treatment program prematurely. Predictive factors included poor educational and professional achievements, parents' divorcing, parents' history of substance abuse and difficulties in interpersonal relationships. DISCUSSION: Dropout is a multifactorial phenomenon with deep clinical consequences: the recognition of possible risk factors may support the choice of specific therapeutic strategies to improve the treatment of ED and its outcomes. © 2012, Editrice Kurtis.


Ballotari P.,Local Health Authority of Reggio Emilia | Chiatamone Ranieri S.,Instituto Of Ricovero E Cura A Carattere Scientifico | Vicentini M.,Local Health Authority of Reggio Emilia | Caroli S.,Local Health Authority of Reggio Emilia | And 6 more authors.
Diabetes Research and Clinical Practice | Year: 2014

Aims: To describe the methodology used to set up the Reggio Emilia (northern Italy) Diabetes Register. The prevalence estimates on December 31st, 2009 are also provided. Methods: The Diabetes Register covers all residents in the Reggio Emilia province. The register was created by deterministic linkage of six routinely collected data sources through a definite algorithm able to ascertain cases and to distinguish type of diabetes and model of care: Hospital Discharge, Drug Dispensation, Biochemistry Laboratory, Disease-specific Exemption, Diabetes Outpatient Clinics, and Mortality databases. Using these data, we estimated crude prevalence on December 31st, 2009 by sex, age groups, and type of diabetes. Results: There were 25,425 ascertained prevalent cases on December 31st, 2009. Drug Dispensation and Exemption databases made the greatest contribution to prevalence. Analyzing overlapping sources, more than 80% of cases were reported by at least two sources. Crude prevalence was 4.8% and 5.9% for the whole population and for people aged 18 years and over, respectively. Males accounted for 53.6%. Type 1 diabetes accounted for 3.8% of cases, while people with Type 2 diabetes were the overriding majority (91.2%), and Diabetes Outpatient Clinics treated 75.4% of people with Type 2 diabetes. Conclusion: The Register is able to quantify the burden of disease, the first step in planning, implementing, and monitoring appropriate interventions. All data sources contributed to completeness and/or accuracy of the Register. Although all cases are identified by deterministic record linkage, manual revision and General Practitioner involvement are still necessary when information is insufficient or conflicting. © 2013 Elsevier Ireland Ltd.


PubMed | Information Technology Unit, Local Health Authority of Reggio Emilia, Hospital of Montecchio and Instituto Of Ricovero E Cura A Carattere Scientifico
Type: Journal Article | Journal: Diabetes research and clinical practice | Year: 2014

To describe the methodology used to set up the Reggio Emilia (northern Italy) Diabetes Register. The prevalence estimates on December 31st, 2009 are also provided.The Diabetes Register covers all residents in the Reggio Emilia province. The register was created by deterministic linkage of six routinely collected data sources through a definite algorithm able to ascertain cases and to distinguish type of diabetes and model of care: Hospital Discharge, Drug Dispensation, Biochemistry Laboratory, Disease-specific Exemption, Diabetes Outpatient Clinics, and Mortality databases. Using these data, we estimated crude prevalence on December 31st, 2009 by sex, age groups, and type of diabetes.There were 25,425 ascertained prevalent cases on December 31st, 2009. Drug Dispensation and Exemption databases made the greatest contribution to prevalence. Analyzing overlapping sources, more than 80% of cases were reported by at least two sources. Crude prevalence was 4.8% and 5.9% for the whole population and for people aged 18 years and over, respectively. Males accounted for 53.6%. Type 1 diabetes accounted for 3.8% of cases, while people with Type 2 diabetes were the overriding majority (91.2%), and Diabetes Outpatient Clinics treated 75.4% of people with Type 2 diabetes.The Register is able to quantify the burden of disease, the first step in planning, implementing, and monitoring appropriate interventions. All data sources contributed to completeness and/or accuracy of the Register. Although all cases are identified by deterministic record linkage, manual revision and General Practitioner involvement are still necessary when information is insufficient or conflicting.

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