Evidence map›Paper›PMID 34669570›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022

Underrecognition of sleep-disordered breathing and other common health conditions in the West Virginia Medicaid population: a driver of poor health outcomes.

Robert Stansbury, Patrick Strollo, Nathan Pauly, Ira Sharma, Marco Schaaf, Anina Aaron, Judith Feinberg

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In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

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  2. Factors impacting sleep center no-show rates after hospital discharge using geospatial coding in Appalachia.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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  4. Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
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  5. Article
  6. Use and limitations of databases and big data in sleep-disordered breathing research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Robert StansburySection of Pulmonary, Critical Care, and Sleep Medicine, West Virginia University Department of Medicine, Morgantown, West Virginia.
Patrick StrolloDepartment of Medicine, VA Pittsburgh, Pittsburgh, Pennsylvania.
Nathan PaulyOffice of Health Affairs, West Virginia University, Morgantown, West Virginia.
Ira SharmaUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Marco SchaafOffice of Health Affairs, West Virginia University, Morgantown, West Virginia.
Anina AaronOffice of Health Affairs, West Virginia University, Morgantown, West Virginia.
Judith FeinbergDepartment of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia.
West Virginia University · USHealth Affairs · USUniversity of Pittsburgh · USVA Pittsburgh Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesTo assess the prevalence rates of sleep-disordered breathing (SDB) in a high-risk and rural-dwelling Medicaid population with significant comorbidities.

methodsOur study analyzed anonymized administrative claims data from West Virginia (WV) Medicaid. Claims data from 2019 were aggregated at the individual level to assess the overall prevalence of SDB and related conditions among adult Medicaid beneficiaries. The prevalence rate of SDB, specifically among individuals who had comorbid congestive heart failure, chronic obstructive pulmonary disease, or obesity, was determined. Finally, we compared our prevalence estimates from this Medicaid database with prevalence rates from national datasets including the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.

resultsOf the total 413,757 Medicaid enrollees ≥ 18 years old analyzed, 36,433 had a diagnosis code of SDB for an overall prevalence of 8.8%. Based on national datasets and our study cohort characteristics, we conservatively estimated the prevalence of SDB in this WV Medicaid population to be 25%. For our secondary analyses, we determined the prevalence of SDB in specific disease cohorts of congestive heart failure (SDB prevalence 45%), chronic obstructive pulmonary disease (SDB prevalence 27%), and obesity (SDB prevalence 14%).

conclusionsOur analysis of WV Medicaid claims data indicates that SDB and other important medical conditions are underrecognized in this vulnerable, high-risk, primarily rural population. Interestingly, SDB was identified at high rates in the disease cohorts of interest. Our team believes SDB represents an ideal target/model for addressing the growing health disparities in the United States, which is a major concern for all stakeholders in health care. CITATION: Stansbury R, Strollo P, Pauly N, et al. Underrecognition of sleep-disordered breathing and other common health conditions in the West Virginia Medicaid population: a driver of poor health outcomes.

Indexed as

MedicaidSleep Apnea SyndromesAdolescentAdultHumansOutcome Assessment, Health CarePrevalenceWest Virginialarge database analysisobstructive sleep apnearural health disparitysleep-disordered breathing

Identifiers

PMID34669570
PMCPMC8883087
OpenAlexW3205334001

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.