Evidence map›Paper›PMID 39970048›Full record

ArticleJournal of primary care & community health

Transportation Barriers and Diabetes Outcomes: A Longitudinal Analysis.

Seth A Berkowitz, Aileen Ochoa, Myklynn LaPoint, Marlena L Kuhn, Jenine Dankovchik, Jenna M Donovan, Mufeng Gao, Sanjay Basu, Michael G Hudgens, Rachel Gold

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of primary care & community health. 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. 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.

Seth A BerkowitzUniversity of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.ORCID 0000-0003-1030-4297
Aileen OchoaOCHIN, Portland, OR, USA.
Myklynn LaPointUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Marlena L KuhnUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jenine DankovchikOCHIN, Portland, OR, USA.
Jenna M DonovanOCHIN, Portland, OR, USA.
Mufeng GaoUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sanjay BasuWaymark Care, San Francisco, CA, USA.
Michael G HudgensUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rachel GoldOCHIN, Portland, OR, USA.

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Testing combinations of population interventions to encourage healthy eatingR01DK116852 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHILLINGER, DEAN · 2018 to 2022
$3.7M
SOCRATES: SOCial Risk and diAbetes ouTcomEs StudyR01DK125406 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERKOWITZ, SETH A · 2021 to 2025
$3.0M
NCCDPHP CDC HHS U18 DP006526NIDDK NIH HHS P30 DK092924NIDDK NIH HHS R01 DK116852NIDDK NIH HHS R01 DK125406
6 · The paper itself

Abstract

objectiveTo estimate associations between transportation barriers and diabetes outcomes.

methodsLongitudinal cohort study; 86 977 adults with type 2 diabetes mellitus in community-based health centers were assessed for transportation barriers, with up to 36 months of follow-up after initial assessment. We compared scenarios in which individuals did not experience transportation barriers to scenarios in which they did, to estimate differences in mean hemoglobin a1c (HbA1c), systolic and diastolic blood pressure (SBP and DBP), and LDL cholesterol. For analysis, we used targeted minimum loss estimation at the following timepoints after initial transportation barrier assessment: 12 (primary), 6, 18, 24, 30, and 36 months. The study period was June 24, 2016 to April 30, 2023.

resultsWe estimated that if participants did not experience transportation barriers, mean HbA1c would have been 0.09% lower (95% CI = -0.14% to -0.04%,

conclusionsAbsence of transportation barriers was associated with slightly lower hemoglobin A1c and blood pressure, but the small magnitude of the differences suggests that also addressing other factors may be needed to improve diabetes outcomes more meaningfully.

Indexed as

Diabetes Mellitus, Type 2TransportationAdultAgedBlood PressureCholesterol, LDLFemaleGlycated HemoglobinHumansLongitudinal StudiesMaleMiddle AgedCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, humancardiovascular diseasediabetes mellitushealth inequitieshealth outcomessocial determinants of health

Identifiers

PMID39970048
PMCPMC11840852

What Socratic holds

Textmetadata
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 Socratic graph.