Evidence map›Paper›PMID 37423646›Full record

ArticleEpilepsia open2023

Predictors of referral for long-term EEG monitoring for Medicare beneficiaries with drug-resistant epilepsy.

Chloe E Hill, Chun Chieh Lin, Samuel W Terman, Darin Zahuranec, Jack M Parent, Lesli E Skolarus, James F Burke

Abstract read
In one paragraph

Article in Epilepsia open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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

7 authors.

Chloe E HillDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-5307-4167
Chun Chieh LinDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Samuel W TermanDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-6179-9467
Darin ZahuranecDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Jack M ParentDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Lesli E SkolarusDepartment of Neurology, Northwestern University, Chicago, Illinois, USA.
James F BurkeDepartment of Neurology, The Ohio State University, Columbus, Ohio, USA.

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
Optimizing Care for Patients with Drug-Resistant EpilepsyK23NS126495 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chloe E Hill · 2023 to 2026
$881k
NCATS NIH HHS KL2 TR002241NCATS NIH HHS UL1 TR002240NINDS NIH HHS K23 NS126495
6 · The paper itself

Abstract

objectiveFor people with drug-resistant epilepsy, the use of epilepsy surgery is low despite favorable odds of seizure freedom. To better understand surgery utilization, we explored factors associated with inpatient long-term EEG monitoring (LTM), the first step of the presurgical pathway.

methodsUsing 2001-2018 Medicare files, we identified patients with incident drug-resistant epilepsy using validated criteria of ≥2 distinct antiseizure medication (ASM) prescriptions and ≥1 drug-resistant epilepsy encounter among patients with ≥2 years pre- and ≥1 year post-diagnosis Medicare enrollment. We used multilevel logistic regression to evaluate associations between LTM and patient, provider, and geographic factors. We then analyzed neurologist-diagnosed patients to further evaluate provider/environmental characteristics.

resultsOf 12 044 patients with incident drug-resistant epilepsy diagnosis identified, 2% underwent surgery. Most (68%) were diagnosed by a neurologist. In total, 19% underwent LTM near/after drug-resistant epilepsy diagnosis; another 4% only underwent LTM much prior to diagnosis. Patient factors most strongly predicting LTM were age <65 (adjusted odds ratio 1.5 [95% confidence interval 1.3-1.8]), focal epilepsy (1.6 [1.4-1.9]), psychogenic non-epileptic spells diagnosis (1.6 [1.1-2.5]) prior hospitalization (1.7, [1.5-2]), and epilepsy center proximity (1.6 [1.3-1.9]). Additional predictors included female gender, Medicare/Medicaid non-dual eligibility, certain comorbidities, physician specialties, regional neurologist density, and prior LTM. Among neurologist-diagnosed patients, neurologist <10 years from graduation, near an epilepsy center, or epilepsy-specialized increased LTM likelihood (1.5 [1.3-1.9], 2.1 [1.8-2.5], 2.6 [2.1-3.1], respectively). In this model, 37% of variation in LTM completion near/after diagnosis was explained by individual neurologist practice and/or environment rather than measurable patient factors (intraclass correlation coefficient 0.37). SIGNIFICANCE: A small proportion of Medicare beneficiaries with drug-resistant epilepsy completed LTM, a proxy for epilepsy surgery referral. While some patient factors and access measures predicted LTM, non-patient factors explained a sizable proportion of variance in LTM completion. To increase surgery utilization, these data suggest initiatives targeting better support of neurologist referral.

Indexed as

Drug Resistant EpilepsyElectroencephalographyInsurance BenefitsMonitoring, PhysiologicAdultFemaleHumansLong-Term CareMaleMedicareMiddle AgedReferral and ConsultationYoung Adultepilepsy surgeryneurologist referralpresurgical evaluationvideo EEG

Identifiers

PMID37423646
PMCPMC10472378

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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.