Evidence map›Paper›PMID 40493317›Full record

ArticleJournal of community health2025

Examining Primary Care Utilization and Distance Traveled for Care Among Medicaid-Insured Children in South Carolina.

Caitlin Koob, Abass Babatunde, Samuel L K Baxter, Michelle Parisi, Sarah F Griffin

Abstract read
In one paragraph

Article in Journal of community health, 2025. 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

5 authors.

Caitlin KoobDepartment of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, SC, USA. cak240@musc.edu.ORCID 0000-0001-8652-2413
Abass BabatundeDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Samuel L K BaxterDepartment of Health Policy and Management, University of North Carolina, Chapel Hill, NC, USA.
Michelle ParisiDepartment of Nutritional Sciences, University of Georgia, Athens, GA, USA.
Sarah F GriffinDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify demographic and primary care utilization factors associated with distance traveled for healthcare among Medicaid-insured children in South Carolina (SC). Medicaid claims data was analyzed among patients with a weight-related diagnostic code who received primary care services in SC from 2018 to 2022 (N = 1,055,613). Multinomial regression analyses were used to examine associations between demographic and primary care utilization factors and distance traveled to primary care services. Among Medicaid-insured children in SC, those who were Non-Hispanic White, obese, had lapses in coverage, sought non-well-child visits, and lived in rural counties demonstrated higher odds of traveling for primary care, compared to other children. Further, children who were Non-Hispanic White, overweight, and had lapses in coverage demonstrated higher odds of traveling distally for PC, compared to other children. These findings underscore the complex interplay between race/ethnicity, healthcare access, and obesity risk among Medicaid-insured children, emphasizing the need for targeted interventions that address these disparities. The study's insights can inform policy and healthcare practices aimed at improving the accessibility of primary care and supporting effective weight management strategies for pediatric populations in SC.

Indexed as

Health Services AccessibilityMedicaidPatient Acceptance of Health CarePrimary Health CareAdolescentChildChild, PreschoolFemaleHumansInfantMalePediatric ObesitySouth CarolinaUnited StatesHealthcare utilizationObesity prevention and treatmentPediatric obesityPrimary careRural health

Identifiers

PMID40493317
PMCPMC12586205

What OpenQuestion holds

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Registered trials

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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.