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Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment
Background: In a Beveridgean decentralized healthcare system, like the Italian one, where regions are responsible for their own health planning and financing, the analysis of patients’ mobility appears very interesting as it has economic and social implications. The study aims to analyze both patien...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378793/ https://www.ncbi.nlm.nih.gov/pubmed/37510486 http://dx.doi.org/10.3390/healthcare11142045 |
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author | Guarducci, Giovanni Messina, Gabriele Carbone, Simona Nante, Nicola |
author_facet | Guarducci, Giovanni Messina, Gabriele Carbone, Simona Nante, Nicola |
author_sort | Guarducci, Giovanni |
collection | PubMed |
description | Background: In a Beveridgean decentralized healthcare system, like the Italian one, where regions are responsible for their own health planning and financing, the analysis of patients’ mobility appears very interesting as it has economic and social implications. The study aims to analyze both patients’ mobility for hospital rehabilitation and if the beds endowment is a driver for these flows; Methods: From 2011 to 2019, admissions data were collected from the Hospital Discharge Cards database of the Italian Ministry of Health, population data from the Italian National Institute of Statistics and data on beds endowment from the Italian Ministry of Health website. To evaluate patients’ mobility, we used Gandy’s Nomogram, while to assess if beds endowments are mobility drivers, we created two matrices, one with attraction indexes (AI) and one with escape indexes (EI). The beds endowment, for each Italian region, was correlated with AI and EI. Spearman’s test was carried out through STATA software; Results: Gandy’s Nomogram showed that only some northern regions had good hospital planning for rehabilitation. A statistically significant correlation between beds endowment and AI was found for four regions and with EI for eight regions; Conclusions: Only some northern regions appear able to satisfy the care needs of their residents, with a positive attractions minus escapes epidemiological balance. The beds endowment seems to be a driver of patients’ mobility, mainly for escapes. Certainly, the search for mobility drivers needs further investigation given the situation in Molise and Basilicata. |
format | Online Article Text |
id | pubmed-10378793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103787932023-07-29 Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment Guarducci, Giovanni Messina, Gabriele Carbone, Simona Nante, Nicola Healthcare (Basel) Article Background: In a Beveridgean decentralized healthcare system, like the Italian one, where regions are responsible for their own health planning and financing, the analysis of patients’ mobility appears very interesting as it has economic and social implications. The study aims to analyze both patients’ mobility for hospital rehabilitation and if the beds endowment is a driver for these flows; Methods: From 2011 to 2019, admissions data were collected from the Hospital Discharge Cards database of the Italian Ministry of Health, population data from the Italian National Institute of Statistics and data on beds endowment from the Italian Ministry of Health website. To evaluate patients’ mobility, we used Gandy’s Nomogram, while to assess if beds endowments are mobility drivers, we created two matrices, one with attraction indexes (AI) and one with escape indexes (EI). The beds endowment, for each Italian region, was correlated with AI and EI. Spearman’s test was carried out through STATA software; Results: Gandy’s Nomogram showed that only some northern regions had good hospital planning for rehabilitation. A statistically significant correlation between beds endowment and AI was found for four regions and with EI for eight regions; Conclusions: Only some northern regions appear able to satisfy the care needs of their residents, with a positive attractions minus escapes epidemiological balance. The beds endowment seems to be a driver of patients’ mobility, mainly for escapes. Certainly, the search for mobility drivers needs further investigation given the situation in Molise and Basilicata. MDPI 2023-07-17 /pmc/articles/PMC10378793/ /pubmed/37510486 http://dx.doi.org/10.3390/healthcare11142045 Text en © 2023 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 Guarducci, Giovanni Messina, Gabriele Carbone, Simona Nante, Nicola Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title | Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title_full | Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title_fullStr | Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title_full_unstemmed | Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title_short | Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment |
title_sort | identifying the drivers of inter-regional patients’ mobility: an analysis on hospital beds endowment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378793/ https://www.ncbi.nlm.nih.gov/pubmed/37510486 http://dx.doi.org/10.3390/healthcare11142045 |
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