Evidence map›Paper›PMID 35583854›Full record

ArticleEpilepsia2022

Drivers of US health care spending for persons with seizures and/or epilepsies, 2010-2018.

Lidia M V R Moura, Ioannis Karakis, Matthew M Zack, Niu Tian, Rosemarie Kobau, David Howard

Abstract read
In one paragraph

Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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

6 authors.

Lidia M V R MouraDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-1191-1315
Ioannis KarakisDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-5122-7211
Matthew M ZackEpilepsy Program, Division of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Niu TianEpilepsy Program, Division of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-9380-0207
Rosemarie KobauEpilepsy Program, Division of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
David HowardDepartment of Health Policy, Emory University School of Medicine, Atlanta, Georgia, USA.

Funding

Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI Bruce E. Landon · 2009 to 2026
$39.0M
Health Promotion and Disease Prevention Research CenterU48DP006377 · DP · EMORY UNIVERSITY · PI KEGLER, MICHELLE C · 2018 to 2023
$13.5M
COVID-19 and Acute Medical Care: Impact on Dementia PatientsR01AG062282 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HSU, JOHN · 2018 to 2022
$4.5M
Predicting Epilepsy Surgery Outcomes Using Neural Network ArchitectureR01NS110347 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BONILHA, LEONARDO F, DRANE, DANIEL L · 2019 to 2023
$3.6M
Treatment Strategies in Geriatric EpilepsyK08AG053380 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI MOURA, LIDIA MARIA VERAS ROCHA DE · 2017 to 2021
$842k
ACL HHS U48DP006377Intramural CDC HHS CC999999NCCDPHP CDC HHS U48 DP006377NIA NIH HHS K08 AG053380NIA NIH HHS P01 AG032952NIA NIH HHS R01 AG062282NINDS NIH HHS R01 NS110347
6 · The paper itself

Abstract

objectiveThis study was undertaken to characterize spending for persons classified with seizure or epilepsy and to determine whether spending has increased over time.

methodsIn this cross-sectional study, we pooled data from the Medical Expenditure Panel Survey (MEPS) household component files for 2010-2018. We matched cases to controls on age and sex of a population-based sample of MEPS respondents (community-dwelling persons of all ages) with records associated with a medical event (e.g., outpatient visit, hospital inpatient) for seizure, epilepsy, or both. Outcomes were weighted to be representative of the civilian, noninstitutionalized population. We estimated the treated prevalence of epilepsy and seizure, health care spending overall and by site of care, and trends in spending growth.

resultsWe identified 1078 epilepsy cases and 2344 seizure cases. Treated prevalence was .38% (95% confidence interval [CI] = .34-.41) for epilepsy, .76% (95% CI = .71-.81) for seizure, and 1.14% (95% CI = 1.08-1.20) for epilepsy or seizure. The difference in annual spending for cases compared to controls was $4580 (95% CI = $3362-$5798) for epilepsy, $7935 (95% CI, $6237-$9634) for seizure, and $6853 (95% CI = $5623-$8084) for epilepsy or seizure, translating into aggregate costs of $5.4 billion, $19.0 billion, and $24.5 billion. From 2010 to 2018, the annual growth rate in total spending incurred for seizures and/or epilepsies was 7.6% compared to 3.6% among controls. SIGNIFICANCE: US economic burden of seizures and/or epilepsies is substantial and warrants interventions focused on their unique and overlapping causes.

Indexed as

EpilepsyHealth ExpendituresCross-Sectional StudiesDelivery of Health CareHumansSeizuresburdencostdrugsepilepsyMEPS

Identifiers

PMID35583854
PMCPMC10969856

What OpenQuestion holds

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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.