Evidence map›Paper›PMID 40616781›Full record

ArticleEpilepsia2025

Frequent seizure and epilepsy-related emergency department visits in the United States: A retrospective cohort study.

Brad K Kamitaki, Jennifer E Geller, Jennifer H Dai, Uma Sarwadnya, Leila Alidoost, Harrison Clement, Kylie Getz, Charlotte Thomas-Hawkins, Haiqun Lin, Joel C Cantor and 1 more

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Brad K KamitakiDepartment of Neurology, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0001-7600-7805
Jennifer E GellerRutgers-Robert Wood Johnson Medical School, Piscataway, New Jersey, USA.
Jennifer H DaiRutgers-Robert Wood Johnson Medical School, Piscataway, New Jersey, USA.
Uma SarwadnyaRutgers-Robert Wood Johnson Medical School, Piscataway, New Jersey, USA.
Leila AlidoostRutgers-Robert Wood Johnson Medical School, Piscataway, New Jersey, USA.
Harrison ClementDepartment of Biostatistics and Epidemiology, Rutgers University School of Public Health, Piscataway, New Jersey, USA.
Kylie GetzDepartment of Biostatistics and Epidemiology, Rutgers University School of Public Health, Piscataway, New Jersey, USA.
Charlotte Thomas-HawkinsRutgers School of Nursing, Newark, New Jersey, USA.
Haiqun LinRutgers School of Nursing, Newark, New Jersey, USA.
Joel C CantorRutgers University, Center for State Health Policy, New Brunswick, New Jersey, USA.
Hyunmi ChoiDepartment of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.ORCID https://orcid.org/0000-0002-0826-2350

Funding

Effects of vascular risk factors on risk for dementia and stroke after late-onset epilepsy (EpilepsyCOG)R01AG074355 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Hyunmi Choi, Evan Lloyd Thacker · 2022 to 2026
$3.9M
Resource Center for Alzheimer's and Dementia Research in Asian and Pacific AmericansP30AG083257 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Cui Yang · 2023 to 2026
$3.5M
American Epilepsy SocietyNew Jersey Health FoundationNIA NIH HHS P30 AG083257NIA NIH HHS R01 AG074355NIA NIH HHS R01-AG074355NIH/NIA) P30-AG083257
6 · The paper itself

Abstract

objectivesHealth disparities impact access to epilepsy care in the United States, but how these factors contribute to recurrent emergency department (ED) visits is unclear. We hypothesized that people who (1) were uninsured or had public health insurance, (2) belonged to minoritized racial/ethnic groups, or (3) resided in low-income zip codes were more likely to have frequent ED visits for seizure or epilepsy.

methodsThis was a retrospective cohort study of adult patients presenting to the ED in four U.S. states (Florida, Maryland, New York, and Wisconsin) with a primary diagnosis of seizure or epilepsy. We tracked ED visits for each patient longitudinally between 2016 and 2018. We performed a multivariable logistic regression analysis evaluating the association of the above factors with a high (>2) vs low (1-2) number of ED visits.

resultsWe identified 200 962 patients who visited the ED for seizure/epilepsy, of whom 28 598 (14.7%) presented >2 times during the study period. Compared to private insurance, individuals with Medicare (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI]: 1.82-1.99), Medicaid (aOR 2.01, 95% CI: 1.93-2.09), or no insurance (aOR 1.55, 95% CI: 1.48-1.62) had increased odds of high ED visits. Black patients had a 60% higher odds of frequent ED visits compared with White patients (aOR 1.60, 95% CI: 1.55-1.65). However, these disparities were attenuated for Black patients with Medicare and Medicaid, vs private insurance. High ED use was not seen in other racial/ethnic groups. Finally, patients living in low-income zip codes (0-25th percentile of median household income; aOR 1.65, 95% CI: 1.58-1.73) were more likely to be in the high ED visit group, compared with the highest income quartile. SIGNIFICANCE: Racial/ethnic and socioeconomic inequities likely contribute to frequent ED visits for seizures, as evidenced by our findings from four U.S. states. Effective, multi-level interventions are needed to reduce disparities for those most affected.

Indexed as

Emergency Service, HospitalEpilepsySeizuresAdultAgedCohort StudiesEmergency Room VisitsFemaleHealthcare DisparitiesHumansInsurance, HealthMaleMedicareMiddle AgedRetrospective StudiesUnited Statesdisparitieshealth care utilizationhealth services researchsocial determinants of health

Identifiers

PMID40616781
PMCPMC12233194

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.