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.

Guarducci, G., Messina, G., Carbone, S., Nante, N. (2023). Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. HEALTHCARE, 11(14), 1-12 [10.3390/healthcare11142045].

Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment

Guarducci G.;Messina G.;Nante N.
2023-01-01

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' 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.
2023
Guarducci, G., Messina, G., Carbone, S., Nante, N. (2023). Identifying the Drivers of Inter-Regional Patients’ Mobility: An Analysis on Hospital Beds Endowment. HEALTHCARE, 11(14), 1-12 [10.3390/healthcare11142045].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1268355