Evidence map›Paper›PMID 41620739›Full record

ArticlePopulation health metrics2026

Models for analyzing territorial inequalities in hospitals for health sustainability: evidence from Italian regions.

Leonardo Salvatore Alaimo, Samuela L'Abbate, Paola Perchinunno, Anna Argese

Abstract read
In one paragraph

Article in Population health metrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Leonardo Salvatore AlaimoDepartment of Statistical Sciences, University of Rome La Sapienza, Rome, Italy. leonardo.alaimo@uniroma1.it.
Samuela L'AbbateDepartment of Humanities Research and Innovation, University of Bari "Aldo Moro", Bari, Italy. samuela.labbate@uniba.it.
Paola PerchinunnoDepartment of Economics, Management and Business Law, University of Bari "Aldo Moro", Bari, Italy.
Anna ArgeseDepartment of Economics, Management and Business Law, University of Bari "Aldo Moro", Bari, Italy.

Funding

GRINS - Growing Resilient, INclusive and Sustainable spoke 8 PE00000018
6 · The paper itself

Abstract

This study investigates territorial disparities in healthcare outcomes and service provision across Italian regions through a multidimensional analysis based on the BES (Equitable and Sustainable Well-being) framework. Two distinct but complementary sets of indicators are considered: one focusing on health outcomes (life expectancy, healthy life expectancy, and avoidable mortality), and the other on the structural availability and accessibility of healthcare services (residential beds, home care, access difficulties, and unmet needs). Using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, the study identifies spatial clusters of regions with similar profiles. Results reveal persistent North-South divides in both health and service indicators, with southern regions consistently exhibiting lower performance. While the Health dataset shows relatively homogeneous clusters, the Services dataset highlights more marked disparities. The use of DBSCAN proves effective in detecting regional groupings even in a relatively small sample, offering a valuable tool for territorial policy planning and sustainability-oriented healthcare strategies.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityHospitalsTerritorialityAlgorithmsHumansItalyLife ExpectancySpatial AnalysisBES indicatorsDBSCANHealth sustainabilitySpatial clustering

Identifiers

PMID41620739
PMCPMC12951992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.