The beaten paths effect on patient inter‐regional mobility: An application to the Italian NHS

Berta, Paolo; Martini, Gianmaria; Spinelli, Daniele; Vittadini, Giorgio

doi:10.1111/pirs.12678

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Therefore, it is essential for the national government to implement some policies that can improve the quality of hospitals in regions with low hospital quality. In fact, an NHS with asymmetrical quality of healthcare in different regions could generate social problems for the local population [39]. However, it is not easy to imagine a healthcare system that provides all types of services, especially those of high complexitỳ, in every territorial context.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2023

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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.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2023

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Section: Discussionmentioning

confidence: 99%

Identifying the Drivers of Inter-Regional Patients’ Migration: An analysis on Hospital Beds Endowment

Guarducci¹,

Messina²,

Carbone³

et al. 2023

Preprint

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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.

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“…For instance,Callais and Geloso (2022) find that the legal systems and property rights area of economic freedom is the most critical in explaining upward income mobility.12 On the other hand, measures like state expenditures on health(Hoffer et al, 2019) or health migration(Berta et al, 2022) can be seen as more objective.13 See, for instance, work byBernini and Tampieri (2022), who examine the role of urbanization on happiness.…”

mentioning

confidence: 99%

How does economic freedom influence public health? Evidence from U.S. cities

Callais,

Hyde,

Murtazashvili

et al. 2023

Southern Economic Journal

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Although there is substantial agreement how microeconomic forces—income, risk aversion—shape public health outcomes, there is substantial disagreement about the relationship between macroeconomic forces—market liberalization and economic freedom—on public health. In this paper, we investigate the relationship between public health, economic freedom, and wealth using a large sample of metropolitan‐level data from the United States. We find that economic freedom does have a statistically significant and positive impact on general, physical, and mental health, but the overall results are small in magnitude. When we disaggregate the three areas of economic freedom, we find that areas with lower government spending and freer labor markets have the strongest positive effect on physical and mental health. However, our results are strongest for the richest group of respondents, suggesting that the economic freedom‐health relationship is perhaps indirect, and shown through income.

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The beaten paths effect on patient inter‐regional mobility: An application to the Italian NHS

Cited by 5 publications

References 45 publications

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

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

Identifying the Drivers of Inter-Regional Patients’ Migration: An analysis on Hospital Beds Endowment

How does economic freedom influence public health? Evidence from U.S. cities

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