Evidence map›Paper›PMID 42547684›Full record

Observational studyJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2026

Geographic and racial/ethnic patterns of polysomnography use among children enrolled in Medicaid, 2017-2019.

Colleen C McLaughlin, Jesse L Hawke, Emily F Boss, Guy M Brock, Meredith M Lind, Tasleem J Padamsee, Prasanth Pattisapu, Deena J Chisolm, Laura J Chavez

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 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

9 authors.

Colleen C McLaughlinCenter for Child Health Equity and Outcomes Research, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA. colleen.mclaughlin@nationwidechildrens.org.ORCID http://orcid.org/0000-0003-4172-8172
Jesse L HawkeCenter for Child Health Equity and Outcomes Research, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA.
Emily F BossDepartment of Otolaryngology, Johns Hopkins University School of Medicine, 601 N. Caroline Street, Baltimore, MD, USA.
Guy M BrockDepartment of Biomedical Informatics and Center for Biostatistics, Ohio State University, 250 Cunz Hall, 1841 Neil Ave, Columbus, OH, USA.
Meredith M LindDepartment of Otolaryngology, Ohio State University and Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA.
Tasleem J PadamseeDivision of Health Services Management and Policy, College of Public Health, Ohio State University, 280 F Cunz Hall, 1841 Neil Ave, Columbus, OH, USA.
Prasanth PattisapuDepartment of Otolaryngology, Ohio State University and Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA.
Deena J ChisolmCenter for Child Health Equity and Outcomes Research, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA.
Laura J ChavezCenter for Child Health Equity and Outcomes Research, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, USA.

Funding

Project CONNECTS (Communication and Outcomes that eNhaNce Equity in Childhood Tonsillectomy and Sleep)R01HL166504 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Emily Frances Boss · 2023 to 2026
$2.3M
Racial/ethnic and geographic differences in pediatric tonsillectomy use: a multilevel investigationR01MD016064 · NIMHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI CHAVEZ, LAURA JOHNSON · 2022 to 2025
$1.8M
NHLBI NIH HHS R01 HL166504NHLBI NIH HHS R01HL166504NIMHD NIH HHS R01 MD016064NIMHD NIH HHS R01MD016064
6 · The paper itself

Abstract

purposeThe purpose of this cross-sectional observational study was to describe the geographic distribution of utilization of polysomnography (PSG) among children enrolled in Medicaid/Child Health Insurance Program from 2017 to 2019.

methodsThe data source was the Transformed Medicaid Information System (T-MSIS) research analytic files. PSG among children ages 0 to 18 years was identified from the claims data. All children enrolled in Medicaid with at least one service utilization claim formed the denominators for calculation of age-adjusted rates per 10,000 children at the US Census Bureau Division, state and local levels. Geographic patterns were visualized with maps and plots. PSG rates were modeled by Rural-Urban Commuting Area (RUCA) classification and race-ethnicity composition at the ZIP code level. Data quality concerns resulted in exclusion of Rhode Island and Vermont.

resultsThere were 478,568 PSGs identified among eligible children in the claims data, resulting in a national rate of 50.1 PSGs per 10,000 Medicaid enrolled children per year. There was a fourfold difference in rates at the state level, ranging from 23 PSGs per 10,000 person-years (Kansas) to 93 per 10,000 (Michigan). New England and the Great Lakes regions had the highest local levels, while the Pacific and West South Central divisions had the lowest. ZIP codes with higher percent White population (> 90%) and those in metropolitan areas had the highest PSG rates.

conclusionThis descriptive study of pediatric PSG utilization in the USA can inform efforts to provide more equitable access to PSG and refinement of practice guidelines for referral to PSG. CURRENT KNOWLEDGE/STUDY RATIONALE: Polysomnography provides a definitive diagnosis for obstructive sleep apnea and other sleep problems. Although there are concerns about variation in access, the utilization patterns of pediatric polysomnography in the USA is unknown. STUDY IMPACT: At the state level, polysomnography among children enrolled in Medicaid exhibited a fourfold difference in rates. ZIP codes in metropolitan areas and those with a high proportion of White non-Hispanic population had the highest utilization rates. These data can inform consensus among professional groups and healthcare policy researchers to improve equitable utilization.

Indexed as

EthnicityMedicaidPolysomnographyRacial GroupsAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleUnited StatesGeographic mappingNeighborhood racial ethnic compositionPediatricsPolysomnographyUrban–ruralUSA

Identifiers

PMID42547684
PMCPMC13433656

What OpenQuestion holds

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LicenceCC BY
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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.