Evidence map›Paper›PMID 32996459›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2021

Outpatient health care utilization for sleep disorders in the Cerner Health Facts database.

Baha Al-Shawwa, Earl Glynn, Mark A Hoffman, Zarmina Ehsan, David G Ingram

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Incremental health care utilization and expenditures for sleep disorders in the United States.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    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 at 2 institutions in 1 country.

Baha Al-ShawwaDivision of Pulmonary and Sleep Medicine, Department of Pediatrics, Children's Mercy Hospital, Kansas City, Missouri.
Earl GlynnResearch Informatics, Children's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri.
Mark A HoffmanUniversity of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
Zarmina EhsanDivision of Pulmonary and Sleep Medicine, Department of Pediatrics, Children's Mercy Hospital, Kansas City, Missouri.
David G IngramDivision of Pulmonary and Sleep Medicine, Department of Pediatrics, Children's Mercy Hospital, Kansas City, Missouri.
Children's Mercy Hospital · USMercy Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesSleep disorders are common in the general population. This study aimed to identify direct health care utilization for sleep disorders using big data through the Cerner Health Facts database.

methodsThe Cerner Health Facts database has 68.7 million patients in the data warehouse, documenting approximately 506.9 million encounters from 100 nonaffiliated health care systems. To identify sleep-related health care utilization, we examined the frequency of outpatient encounters related to sleep disorders between the years 2000 and 2017. Sleep disorders were grouped-based on the International Classification of Sleep Disorders-Third Edition.

resultsApproximately 20.5 million patients were identified with a total of 127.4 million outpatient encounters. In pediatric patients (ages 0-18 years), health care utilization for major sleep diagnoses was measured per 100,000 encounters. Sleep-related breathing disorders ranked first among common sleep disorders for pediatric patients followed by parasomnia, insomnia, sleep movement disorders, hypersomnolence, then circadian rhythm disorders (820.1, 258.1, 181.6, 68.3, 48.1, and 16.2 per 100,000 encounters, respectively). However, in adult patients, the ranking was slightly different, with sleep-related breathing disorders ranked first, followed by insomnia, sleep-related movement disorders, hypersomnolence, parasomnia, then circadian rhythm disorders (1352.6, 511.6, 166.3, 79.1, 25.7, and 4.2 per 100,000 encounters, respectively). In general, there was a bimodal pattern with a clear dip in sleep-related health care utilization in young adults age (age 19-29 years), with the exception of insomnia.

conclusionsPatients with sleep disorders show relatively low health care utilization despite a known high prevalence of sleep disorders in the general population. This finding may highlight under-recognition of sleep problems or decreased access to health care for sleep disorders. In addition, this study highlights the effect of age-based variation on different sleep disorders, which may have an impact on allocating resources.

Indexed as

Sleep Initiation and Maintenance DisordersSleep Wake DisordersAdolescentAdultChildChild, PreschoolHumansInfantInfant, NewbornOutpatientsPatient Acceptance of Health CareSleepYoung Adultbig dataCernerhealth carehealth factsprevalencesleep disordersutilization

Identifiers

PMID32996459
PMCPMC7853225
OpenAlexW3091217495

What OpenQuestion 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 OpenQuestion graph.