Evidence map›Paper›PMID 35954629›Full record

ArticleInternational journal of environmental research and public health2022

Disparities in Healthcare Utilization: Superfund Site vs. Neighboring Comparison Site.

Crystal Stephens, Young-Il Kim, Rekha Ramachandran, Monica L Baskin, Veena Antony, Sejong Bae

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
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

6 authors at 1 institution in 1 country.

Crystal StephensDivision of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0002-0254-7136
Young-Il KimDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Rekha RamachandranDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Monica L BaskinDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Veena AntonyDivision of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Sejong BaeDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0001-9982-3223
University of Alabama at Birmingham · US

Funding

Project 5 Nano-micro Hybrid Fibrous Materials for Containment Removal and Site RemediationP42ES027723 · NIEHS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANTONY, VEENA B. · 2020 to 2024
$6.7M
National Institute of Health P42ES027723NIEHS NIH HHS P42 ES027723
6 · The paper itself

Abstract

Inequities in pollution-attributable health disparities are similar in most urban areas throughout the United States, and appear to encompass racial and socio-demographic differences, thereby suggesting increased health risks for those living in these areas. Individuals residing in close proximity to Superfund sites, predominantly people of color, are increasingly stricken with lung diseases. The prevalence of chronic lung diseases, such as chronic obstructive pulmonary disease (COPD), asthma in children, and lower respiratory tract infections (LRTI), is significantly higher in the affected area compared to the neighboring control area, irrespective of smoking, socio-economic status, or demographics. We conducted a retrospective analysis using data collected from patients who obtained healthcare from the University of Alabama at Birmingham (UAB) Health System. The data were procured from the Enterprise Data Warehouse (UAB Informatics for Integrating Biology and the Bedside (i2b2)). We evaluated healthcare utilization and classification of disease (defined by ICD-10 codes) of patients residing in zip codes: affected (35207, 35217) and neighboring comparison (35214). The results of the analysis may provide evidence that can be used for risk mitigation strategies or outreach education campaign(s) for those who live in the affected area.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveChildHealthcare DisparitiesHumansPatient Acceptance of Health CareRetrospective StudiesSmokingUnited Stateshealth disparitiespollutionSuperfund

Identifiers

PMID35954629
PMCPMC9367949
OpenAlexW4288436731

What OpenQuestion holds

Textmetadata
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.