Evidence map›Paper›PMID 36901363›Full record

ArticleInternational journal of environmental research and public health2023

Investigating the Spatial Relationship between Social Vulnerability and Healthcare Facility Distribution in Nassau County, New York.

Alea Jones, Ijeoma Nnadi, Kelly Centeno, Giselle Molina, Rida Nasir, Gina G Granger, Nicholas R Mercado, Andrea A Ault-Brutus, Martine Hackett, Ibraheem M Karaye

Full text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Increased Density of Mobile Health Unit Encounters Among Primary Care Health Professional Shortage Areas.International journal of environmental research and public health · 2026
    Article
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

10 authors.

Alea JonesPipeline Programs, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA.
Ijeoma NnadiPipeline Programs, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA.
Kelly CentenoPipeline Programs, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA.
Giselle MolinaPipeline Programs, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA.ORCID 0009-0002-3525-0731
Rida NasirDepartment of Population Health, Hofstra University, Hempstead, NY 11549, USA.
Gina G GrangerPipeline Programs, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA.
Nicholas R MercadoDepartment of Health Humanities and Bioethics, University of Rochester Medical Center, Rochester, NY 14642, USA.
Andrea A Ault-BrutusDepartment of Population Health, Hofstra University, Hempstead, NY 11549, USA.
Martine HackettDepartment of Population Health, Hofstra University, Hempstead, NY 11549, USA.
Ibraheem M KarayeDepartment of Population Health, Hofstra University, Hempstead, NY 11549, USA.ORCID 0000-0001-6544-409X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health is a fundamental human right, yet healthcare facilities are not distributed equitably across all communities. This study aims to investigate the distribution of healthcare facilities in Nassau County, New York, and examine whether the distribution is equitable across different social vulnerability levels. An optimized hotspot analysis was conducted on a dataset of 1695 healthcare facilities-dental, dialysis, ophthalmic, and urgent care-in Nassau County, and social vulnerability was measured using the FPIS codes. The study found that healthcare facilities were disproportionately distributed in the county, with a higher concentration in areas of low social vulnerability compared to areas of high social vulnerability. The majority of healthcare facilities were found to be clustered in two ZIP codes-11020 and 11030-that rank among the top ten wealthiest in the county. The results of this study suggest that socially vulnerable residents in Nassau County are at a disadvantage when it comes to attaining equitable access to healthcare facilities. The distribution pattern highlights the need for interventions to improve access to care for marginalized communities and to address the underlying determinants of healthcare facility segregation in the county.

Indexed as

Renal DialysisSocial VulnerabilityDelivery of Health CareFloridaHumansNew Yorkdisparitieshealthcare accesshealthcare facility distributionhotspot analysisNassau CountyNew Yorksegregationsocial vulnerability

Identifiers

PMID36901363
PMCPMC10001444

What OpenQuestion holds

Textfull text, public
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.