Evidence map›Paper›PMID 39725002›Full record

ArticleAcademic pediatrics

Medicaid‑Insured Children with Medical Complexity in a Rural State.

James Bohnhoff, Chelsea Bodnar, Jon Graham, Jonathon Knudson, Erika Fox, Cindy Leary, Lauren Cater, Curtis Noonan

Abstract read
In one paragraph

Article in Academic pediatrics. 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
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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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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

8 authors.

James BohnhoffDepartment of Pediatrics (J Bohnhoff), MaineHealth, Portland, Maine; Center for Interdisciplinary Population & Health Research (J Bohnhoff), MaineHealth Institute for Research, Westbrook, Maine.
Chelsea BodnarMontana Pediatrics (C Bodnar), Kalispell, Mont. Electronic address: cbodnar@montanapediatrics.org.
Jon GrahamCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.
Jonathon KnudsonCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.
Erika FoxCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.
Cindy LearyCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.
Lauren CaterCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.
Curtis NoonanCenter for Population Health Research (J Graham, J Knudson, E Fox, C Leary, L Cater, and C Noonan), University of Montana, Missoula, Mont.

Funding

Wildfires and Cardiovascular Health: Evaluating Associations and Intervention StrategiesP20GM130418 · NIGMS · UNIVERSITY OF MONTANA · PI Maja Pedersen · 2020 to 2026
$17.9M
CTSA K12 Program at Tufts UniversityK12TR004384 · NCATS · TUFTS UNIVERSITY BOSTON · PI Karen Freund, Lesley Ann Inker · 2023 to 2026
$6.1M
NCATS NIH HHS K12 TR004384NIGMS NIH HHS P20 GM130418
6 · The paper itself

Abstract

objectiveTo describe children with medical complexity (CMC) in Montana according to their clinical characteristics, rurality, and distance from specialty care, and to assess for disparities in geographic access to specialty care for American Indian children.

methodsIn this cross-sectional study, we categorized children in 2016-21 Montana Medicaid claims data using the Pediatric Medical Complexity Algorithm and compared the associations of medical complexity and demographic traits using chi-square tests. Using a database of providers, we calculated drive times from children's residences to the nearest pediatric subspecialist and calculated bootstrap confidence intervals for the difference in median driving distances by complexity and race.

resultsAmong 126,873 children, 23% lived in rural areas and 20% were reported as American Indian. In all, 10,766 children (8.5%) had complex chronic conditions (children with medical complexity, CMC), and 27,431 (21.6%) had noncomplex chronic conditions. Medical complexity was associated with age, race, ethnicity, sex, Children's Health Insurance Program enrollment, disability, and rurality. CMC had shorter median drive times to care than children with noncomplex medical conditions and children without chronic conditions (28 vs 34 and 43 minutes, 95% confidence intervals of differences 4-9 and 6-11). At each level of medical complexity, the median distance from care was greater for American Indian children than children of other races.

conclusionsAlthough CMC tend to live closer to specialists than other children, many CMC live far from subspecialty care. American Indian children live farther from specialists than other children, regardless of complexity. Future work should support access to care for rural and American Indian CMC.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityIndians, North AmericanMedicaidRural PopulationAdolescentChildChild, PreschoolChronic DiseaseCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMontanaaccess to careAmerican Indianchildren with medical complexityNative Americanrural Health

Identifiers

PMID39725002
PMCPMC12048212

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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.