Evidence map›Paper›PMID 41385261›Full record

ArticleMedical care2026

Concordance Between Self-Report and Electronic Medical Record Diagnoses of Insomnia and Sleep Apnea: Lessons From the Airborne Hazards and Open Burn Pit Registry.

Melissa B Jones, Saba Sharafkhaneh, Danielle R Glick, Amin Ramezani, Max Hirshkowitz, Amir Sharafkhaneh, Drew A Helmer, Javad Razjouyan

Abstract read
In one paragraph

Article in Medical care, 2026. 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

8 authors.

Melissa B JonesMichael E. DeBakey VA Medical Center, Houston, TX.
Saba SharafkhanehWilliam Carey University of Osteopathic Medicine, Hattiesburg, MS.
Danielle R GlickUniversity of Maryland School of Medicine, Baltimore, MD.
Amin RamezaniMichael E. DeBakey VA Medical Center, Houston, TX.
Max HirshkowitzBaylor College of Medicine, Houston, TX.
Amir SharafkhanehMichael E. DeBakey VA Medical Center, Houston, TX.
Drew A HelmerMichael E. DeBakey VA Medical Center, Houston, TX.
Javad RazjouyanMichael E. DeBakey VA Medical Center, Houston, TX.

Funding

Using Large Electronic Health Records and Advanced Analytics to Develop Predictive Frailty Trajectories in Patients with Heart FailureK25HL152006 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI RAZJOUYAN, JAVAD · 2020 to 2024
$719k
CSRD VA IK2 CX002363NHLBI NIH HHS K25 HL152006
6 · The paper itself

Abstract

backgroundVeteran participants in the Airborne Hazards and Open Burn Pit Registry (AHOBPR) report respiratory and sleep-related symptoms, including sleep-disordered breathing and difficulty sleeping. The AHOBPR Questionnaire elicits sleep-related disturbances and other health outcomes potentially associated with burn pit exposures. Responses to this questionnaire may influence resource allocation and future longitudinal studies of toxic sequelae. The level of agreement between sleep apnea and insomnia responses to the AHOPBPR questionnaire and clinical diagnoses of sleep apnea and insomnia in the electronic medical record (EMR) is unclear.

objectiveIn this study, we compare concordance between reports of symptoms associated with sleep apnea and insomnia to corresponding clinical diagnoses documented in EMRs among Veterans in the AHOBPR.

methodsWe included 469,179 Veterans with AHOBPR survey responses and available EMR data in the Veteran Health Administration. Concordances between reports of sleep-related symptoms on the AHOBPR questionnaire and relevant EMR diagnoses were analyzed for 469,179 Veterans. Concordance was assessed with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and kappa coefficients. We further considered sex differences in concordance measures.

resultsReports of symptoms associated with sleep apnea were common (52% overall, 54.5% in men, 28.5% in women) as were EMR diagnoses (31.6% overall, 32.8% in men, 19.8% in women). The overall concordance between self-reported and EMR diagnoses for sleep apnea was fair (kappa=0.38). Reports of symptoms associated with insomnia were highly prevalent (81% overall, 80.8% in men, 82.6% in women) but poorly aligned with EMR diagnoses (17.8% overall, kappa=0.08). Agreement between reports of symptoms associated with sleep apnea and EMR-diagnosed sleep apnea was higher for females (kappa=0.46) than for males (kappa=0.37).

conclusionThis study highlights significant discrepancies between self-reported symptoms and EMR diagnoses of sleep apnea and insomnia among Veterans who completed the AHOBPR survey. While fair agreement for sleep apnea suggests some alignment with clinical diagnosis, poor concordance for insomnia highlights the limitations of self-reported case identification methods.

Indexed as

Electronic Health RecordsSelf ReportSleep Apnea SyndromesSleep Initiation and Maintenance DisordersVeteransAdultAgedFemaleHumansMaleMiddle AgedOpen Waste BurningRegistriesSurveys and QuestionnairesUnited Stateselectronic health recordsenvironmental exposuresleep apnea syndromessleep initiation and maintenance disordersveterans

Identifiers

PMID41385261
PMCPMC12704672

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.