Evidence map›Paper›PMID 42132176›Full record

ArticleJournal of the American Heart Association2026

Geospatial Access to Pediatric Cardiac and Cardiac-Surgical Services by Neighborhood-Level Determinants of Health.

Julia K Weld, R Thomas Day, Faraz Alizadeh, Jeffrey Blossom, Dakota Bailey, Steven Worthington, Jinjie Liu, Valerie L Ward, Sarah A Teele, Jane W Newburger and 3 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 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

13 authors.

Julia K WeldDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0003-3455-3036
R Thomas DayDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0003-1323-8897
Faraz AlizadehDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0001-9452-4566
Jeffrey BlossomCenter for Geographic Analysis Harvard University Cambridge MA USA.ORCID 0000-0003-0648-9313
Dakota BaileyCenter for Geographic Analysis Harvard University Cambridge MA USA.ORCID 0009-0006-7756-4316
Steven WorthingtonInstitute for Quantitative Social Science Harvard University Cambridge MA USA.ORCID 0000-0001-9550-5797
Jinjie LiuInstitute for Quantitative Social Science Harvard University Cambridge MA USA.
Valerie L WardSandra L. Fenwick Institute Boston Children's Hospital Boston MA USA.ORCID 0000-0003-0495-762X
Sarah A TeeleDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0002-4399-7256
Jane W NewburgerDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0002-7794-9017
Ravi R ThiagarajanDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0002-4154-1693
Emily M BucholzSection of Cardiology, Children's Hospital Colorado; Department of Pediatrics University of Colorado Anschutz Aurora CO USA.ORCID 0000-0003-2815-3597
Katie M MoynihanDepartment of Cardiology Boston Children's Hospital Boston MA USA.ORCID 0000-0003-2515-2951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to quality health care is a key social determinant of health. We determined whether geographic access to pediatric cardiac services differed by neighborhood-level opportunity, racial and ethnic population composition, and urbanicity.

methodsGeospatial analysis delineated geographic access to hospitals with pediatric cardiac and cardiac-surgical services. Geographic access was defined in 4 drive-time catchments (0-30, 31-60, 61-120, and 121-240-minutes) and dichotomizing direct (≤60-minute) versus limited (>60-minute) access. Mean predicted Child Opportunity Index (COI), percentage of racial and ethnic populations considered medically underserved and rural-urban residence were compared by geographic access. Prevalence ratios compared the prevalence of limited geographic access for low COI and percentage of populations medically underserved catchments compared with high, and rural versus urban areas. Additional analyses controlled for hospital characteristics.

resultsLimited access to pediatric cardiac and surgical care was more prevalent in very low quintile COI catchments versus very high (prevalence ratio, 3.64 [95% CI, 2.61-5.07] and 2.98 [95% CI, 2.04-4.35], respectively). Catchments with >60-minute drive time to cardiac care had on average>6 point lower COI. Catchments closer to cardiac services were more urban and with a higher percentage of populations medically underserved. Prevalence of limited geographic access to pediatric cardiac care was higher in rural versus urban catchments (prevalence ratio, 3.48 [3.02, 4.00]). Incorporating hospital characteristics increased COI differences and attenuated the higher percentage of populations medically underserved with direct cardiac-surgical access.

conclusionsOn average, areas with fewer neighborhood-level resources promoting healthy child development are associated with greater distance to pediatric cardiac services. Geospatial analyses identify specific areas with limited access to cardiac care to focus future resource allocation.

Indexed as

Cardiac Surgical ProceduresHealthcare DisparitiesHealth Services AccessibilityNeighborhood CharacteristicsResidence CharacteristicsSocial Determinants of HealthAdolescentCatchment Area, HealthChildChild, PreschoolFemaleHumansInfantMedically Underserved AreaSocioeconomic Disparities in HealthUnited Stateschilddelivery of health careresource allocationsocial determinants of healthUnited States

Identifiers

PMID42132176
PMCPMC13279433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.