Evidence map›Paper›PMID 41859235›Full record

ArticleSSM - population health2026

Driving and public transit barriers to dental care in the United States.

Md Shahinoor Rahman, Ichiro Kawachi, Benjamin D Sommers, Renuka Tipirneni, Jeffrey C Blossom, Hawazin W Elani

Abstract read
In one paragraph

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

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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

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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

6 authors.

Md Shahinoor RahmanDepartment of Oral Health Policy and Epidemiology at the Harvard School of Dental Medicine, Boston, Massachusetts, USA.
Ichiro KawachiDepartment of Social and Behavioral Sciences at the Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Benjamin D SommersDepartment of Health Policy and Management at the Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Renuka TipirneniDivisions of General Medicine and Hospital Medicine, University of Michigan Department of Internal Medicine, Ann Arbor, Michigan, USA.
Jeffrey C BlossomCenter for Geographic Analysis, Harvard University, Cambridge, Massachusetts, USA.
Hawazin W ElaniDepartment of Oral Health Policy and Epidemiology at the Harvard School of Dental Medicine, Boston, Massachusetts, USA.

Funding

Field Experiment to Assess the Impact of Medicaid on Disparities in Dental Care UtilizationR01MD017093 · NIMHD · HARVARD MEDICAL SCHOOL · PI Hawazin W Elani · 2022 to 2026
$2.8M
NIMHD NIH HHS R01 MD017093
6 · The paper itself

Abstract

Despite the increasing number of dentists in the United States, the uneven distribution of dental clinics and inequities in public transportation contribute to ongoing disparities in access to dental care. This study examined travel times by car and public transit to the nearest dental clinic across the United States. We used data on 104,695 clinics from the IQIVIA practitioners' database. Drive and transit times to the nearest dental clinic were calculated at the block group level. Longer travel-time hotspots were defined as areas where the Getis-Ord Gi∗ z-score was ≥1.96, corresponding to statistical significance at the 95% confidence level. Approximately 49.3 million (19.1%) of US adults lack public transit access to dental care. Mean public transit times were 13.0, 18.5, and 34.3 min in urban, suburban, and rural areas, respectively, while mean driving times were 2.8, 3.4, and 10.5 min. Block groups experiencing extreme social deprivation were 1.7 times more likely (95% CI: 1.5-2.0) to be in drive-time hotspots, and 3.7 times more likely (95% CI: 3.2-4.3) compared with those with the least deprivation. Suburban and rural block groups were 1.4 times (95% CI: 1.3-1.6) and 2.4 times (95% CI: 2.2-2.7), respectively, more likely to be in public-transit-time hotspots than urban block groups. These findings demonstrate significant transportation barriers to accessing dental care across different regions and demographic groups, highlighting disparities in geographic accessibility.

Indexed as

Dental clinic accessTransit equityTravel timeTravel time disparitiesUrbanicity

Identifiers

PMID41859235
PMCPMC12996270

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LicenceCC BY
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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.