Carlotta Lorenzini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Carlotta Lorenzini has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Andrea Urbani
General Directorate for Health Planning, Ministry of Health, 01144 Rome, Italy
1 shared publication - Flavia Carle
Marche Polytechnic University
1 shared publication - Gabriella Messina
Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy
1 shared publication - Giovanni Guarducci
Post Graduate School of Public Health, University of Siena, Italy
1 shared publication - Nicola Nante
Post Graduate School of Public Health, University of Siena, 53100 Siena, Italy
1 shared publication - Simona Carbone
General Directorate for Health Planning, Ministry of Health, 01144 Rome, Italy
1 shared publication
Latest Publications
- Open Access
- 8 September 2021
- Published by MDPI AG in Healthcare
- Vol. 9 (9) , 1182
Inter-Regional Hospital Patients’ Mobility in Italy
Background: The federalization of the Italian National Health Service (NHS) gave administrative, financial, and managerial independence to regions. They are in reciprocal competition according to the “quasi-market” model. A network of independent providers replaced the state monopoly. The NHS, based on the Beveridge model in which citizens are free to choose their place of treatment, was consolidated. The aim of our research was to analyze the fulfillment of need for hospital services on site and patients’ migration to hospitals of other regions. Material and Methods: We analyzed data from 2013 to 2017 of Hospital Discharge Cards (HDCs) provided by the Ministry of Health. The subjects of the analysis (catchment areas) were the hospital networks of every Italian region. The study of flows was developed through Internal Demand Satisfaction, Attraction, Escape, Attraction, Absorption, and Escape Production indexes. Graphic representations were produced using Gandy’s Nomogram and Qgis software. Results: In the studied period, the mean number of mobility admission was 678.659 ± 3.388, with an increase of 0.90%; in particular, the trend for ordinary regime increased 1.17%. Regions of central/northern Italy have attracted more than 60% of the escapes of the southern ones. Gandy’s Nomogram showed that only nine regions had optimal public hospital planning (Lombardy, Autonomous Province of Bolzano, Veneto, Friuli V.G., Emilia-Romagna, Tuscany, Umbria, Latium and Molise). Conclusion: The central/northern regions appear more able to meet the care needs of their citizens and to attract patients than the southern ones.
- 8 September 2021
- Published by MDPI AG in Healthcare
- Vol. 9 (9) , 1182
Open AccessInter-Regional Hospital Patients’ Mobility in Italy
Background: The federalization of the Italian National Health Service (NHS) gave administrative, financial, and managerial independence to regions. They are in reciprocal competition according to the “quasi-market” model. A network of independent providers replaced the state monopoly. The NHS, based on the Beveridge model in which citizens are free to choose their place of treatment, was consolidated. The aim of our research was to analyze the fulfillment of need for hospital services on site and patients’ migration to hospitals of other regions. Material and Methods: We analyzed data from 2013 to 2017 of Hospital Discharge Cards (HDCs) provided by the Ministry of Health. The subjects of the analysis (catchment areas) were the hospital networks of every Italian region. The study of flows was developed through Internal Demand Satisfaction, Attraction, Escape, Attraction, Absorption, and Escape Production indexes. Graphic representations were produced using Gandy’s Nomogram and Qgis software. Results: In the studied period, the mean number of mobility admission was 678.659 ± 3.388, with an increase of 0.90%; in particular, the trend for ordinary regime increased 1.17%. Regions of central/northern Italy have attracted more than 60% of the escapes of the southern ones. Gandy’s Nomogram showed that only nine regions had optimal public hospital planning (Lombardy, Autonomous Province of Bolzano, Veneto, Friuli V.G., Emilia-Romagna, Tuscany, Umbria, Latium and Molise). Conclusion: The central/northern regions appear more able to meet the care needs of their citizens and to attract patients than the southern ones.