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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466093/ https://www.ncbi.nlm.nih.gov/pubmed/34574956 http://dx.doi.org/10.3390/healthcare9091182 |
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author | Nante, Nicola Guarducci, Giovanni Lorenzini, Carlotta Messina, Gabriele Carle, Flavia Carbone, Simona Urbani, Andrea |
author_facet | Nante, Nicola Guarducci, Giovanni Lorenzini, Carlotta Messina, Gabriele Carle, Flavia Carbone, Simona Urbani, Andrea |
author_sort | Nante, Nicola |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8466093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84660932021-09-27 Inter-Regional Hospital Patients’ Mobility in Italy Nante, Nicola Guarducci, Giovanni Lorenzini, Carlotta Messina, Gabriele Carle, Flavia Carbone, Simona Urbani, Andrea Healthcare (Basel) Article 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. MDPI 2021-09-08 /pmc/articles/PMC8466093/ /pubmed/34574956 http://dx.doi.org/10.3390/healthcare9091182 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nante, Nicola Guarducci, Giovanni Lorenzini, Carlotta Messina, Gabriele Carle, Flavia Carbone, Simona Urbani, Andrea Inter-Regional Hospital Patients’ Mobility in Italy |
title | Inter-Regional Hospital Patients’ Mobility in Italy |
title_full | Inter-Regional Hospital Patients’ Mobility in Italy |
title_fullStr | Inter-Regional Hospital Patients’ Mobility in Italy |
title_full_unstemmed | Inter-Regional Hospital Patients’ Mobility in Italy |
title_short | Inter-Regional Hospital Patients’ Mobility in Italy |
title_sort | inter-regional hospital patients’ mobility in italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466093/ https://www.ncbi.nlm.nih.gov/pubmed/34574956 http://dx.doi.org/10.3390/healthcare9091182 |
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