Evidence map›Paper›PMID 33797505›Full record

Observational studyMedical care2021

Markers of Quality Care for Newly Diagnosed People With Epilepsy on Medicaid.

Wyatt P Bensken, Suparna M Navale, Angeline S Andrew, Barbara C Jobst, Martha Sajatovic, Siran M Koroukian

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Medical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Article
  9. Disparities in seizure outcomes revealed by large language models.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
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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

6 authors at 3 institutions in 1 country.

Wyatt P BenskenDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH.
Suparna M NavaleDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH.
Angeline S AndrewDepartment of Neurology, Geisel School of Medicine and Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Barbara C JobstDepartment of Neurology, Geisel School of Medicine and Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Martha SajatovicDepartments of Neurology and Psychiatry, University Hospitals Cleveland Medical Center and School of Medicine, Case Western Reserve University, Cleveland, OH.
Siran M KoroukianDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH.
Case Western Reserve University · USDartmouth–Hitchcock Medical Center · USUniversity Hospitals of Cleveland · US

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
Prevention Research Center for Healthy NeighborhoodsU48DP005030 · DP · CASE WESTERN RESERVE UNIVERSITY · PI BORAWSKI, ELAINE A. · 2014 to 2018
$6.8M
Multi-Level Interventions to Reduce Caries Disparities in Primary Care SettingsUH3DE025487 · NIDCR · CASE WESTERN RESERVE UNIVERSITY · PI NELSON, SUCHITRA S. · 2017 to 2021
$5.6M
Identifying Electronic Phenotypes associated with Patient Health Outcomes of Interhospital Transfer PatientsR15NR017792 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI REIMER, ANDREW PAUL · 2018 to 2018
$477k
NCCDPHP CDC HHS U48 DP005030NCI NIH HHS P30 CA043703NIDCR NIH HHS UH3 DE025487NINR NIH HHS R15 NR017792
6 · The paper itself

Abstract

backgroundFor newly diagnosed people with epilepsy (PWE), proper treatment is important to improve outcomes, yet limited data exist on markers of quality care.

objectiveExamine markers of quality care for newly diagnosed PWE.

methodsUsing Medicaid claims data (2010-2014) for 15 states we identified adults 18-64 years of age diagnosed with incident epilepsy in 2012 or 2013. We built 5 sequential logistic regression models to evaluate: (1) seeing a neurologist; (2) diagnostic evaluation; (3) antiepileptic medication adherence; (4) serum drug levels checked; and (5) being in the top quartile of number of negative health events (NHEs). We adjusted for demographics, comorbidities, county-level factors, and the outcomes from all prior models.

resultsOf 25,663 PWE, 37.3% saw a neurologist, with decreased odds for those of older age, those residing in counties with low-density of neurologists, and certain race/ethnicities; about 57% of PWE received at least 1 diagnostic test; and nearly 62% of PWE were adherent to their medication. The most common comorbidities were hypertension (37.1%) and psychoses (26.9%). PWE with comorbidities had higher odds of seeing a neurologist and to have NHEs. Substance use disorders were negatively associated with medication adherence and positively associated with high NHEs.

conclusionsThere are notable differences in demographics among people with incident epilepsy who do or do not see a neurologist. Differences in NHEs persist, even after controlling for neurologist care and diagnostic evaluation. Continued attention to these disparities and comorbidities is needed in the evaluation of newly diagnosed PWE.

Indexed as

Quality Indicators, Health CareQuality of Health CareAdolescentAdultAnticonvulsantsComorbidityDrug MonitoringEpilepsyFemaleHumansMaleMedicaidMiddle AgedReferral and ConsultationRetrospective StudiesUnited StatesAnticonvulsants

Identifiers

PMID33797505
PMCPMC8187271
OpenAlexW3139713277

What OpenQuestion holds

Textmetadata
LicenceTDM
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.