Guarducci, G.; Messina, G.; Carbone, S.; Nante, N. Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. Healthcare2023, 11, 2045.
Guarducci, G.; Messina, G.; Carbone, S.; Nante, N. Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. Healthcare 2023, 11, 2045.
Guarducci, G.; Messina, G.; Carbone, S.; Nante, N. Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. Healthcare2023, 11, 2045.
Guarducci, G.; Messina, G.; Carbone, S.; Nante, N. Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. Healthcare 2023, 11, 2045.
Abstract
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’ migration appears very interesting as it has economic and social implications. The study aims to analyze both patients’ migration 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 Dis-charge Cards database of the Italian Ministry of Health, population data from Italian National Institute of Statistics and data of beds endowment from the Italian Ministry of Health website. To evaluate patients’ migration, we used Gandy’s Nomogram, while to assess if beds endowments are mobility drivers, we have created two matrices, one with attraction indexes (AI) and one with escape indexes (EI). The beds endowment, for each Italian region, were 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, while with EI for eight regions. Conclusions: Only some northern regions appear able to satisfy the care needs of their residents, with an attraction minus escapes positive epidemiological balance. The beds endowment seems to be a driver of Patients’ migration, mainly for escapes. Certainly, the search for mobility drivers needs further investigation given the events in Molise and Basilicata.
Keywords
patient's mobility; beds endowment; Gandy's Nomogram; healthcare management; healthcare services; hospital rehabilitation; Italian regions
Subject
Public Health and Healthcare, Health Policy and Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
