Evidence map›Paper›PMID 38095749›Full record

ReviewCurrent pain and headache reports2024

Treating the Uninsured and Underinsured with Migraine in the USA.

Min J Jung, Skyler L Kanegi, Noah L Rosen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2024. 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
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 3 institutions in 1 country.

Min J JungDepartment of Neurology, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Skyler L KanegiDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Noah L RosenDepartment of Neurology, Northwell Health Neuroscience Institute/Zucker School of Medicine at Hofstra University, 611 Northern Boulevard, Suite 150, Great Neck, NY, 11021, USA. Nrosen2@northwell.edu.
Cincinnati Children's Hospital Medical Center · USHofstra University · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo define, describe, and identify potential solutions for health disparities in the uninsured and underinsured with migraine in the USA. RECENT

findingsUninsured and underinsured patients with migraine experience health disparities in diagnosis and treatment of migraine. Migraine patients have higher healthcare costs and higher employment disability, which contribute to a higher likelihood of uninsured or underinsured status. Uninsured or underinsured status, combined with factors such as race, socioeconomic status, geographic location, and care location, are correlated with delays in or decreased migraine diagnosis and treatment. Migraine prevalence is increased in the uninsured and underinsured. Potential solutions include advocacy for policy changes that improve access to care, increasing awareness and representation of underrepresented groups, providing resources to patients to reduce costs, and active patient engagement in migraine care. Continued efforts from all stakeholders have the potential to reduce health disparities in uninsured and underinsured patients with migraine, reducing disability and improving quality of life.

Indexed as

Medically UninsuredMigraine DisordersEmploymentHumansQuality of LifeUnited StatesAccessDisparityEquityInsuranceRaceSocioeconomic

Identifiers

PMID38095749
OpenAlexW4389736024

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.