Evidence map›Paper›PMID 25141303›Full record

ArticlePloS one2014

Insurance status is associated with treatment allocation and outcomes after subarachnoid hemorrhage.

Charles Hobson, John Dortch, Tezcan Ozrazgat Baslanti, Daniel R Layon, Alina Roche, Alison Rioux, Jeffrey S Harman, Brenda Fahy, Azra Bihorac

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.Proceedings. IEEE International Symposium on Bioinformatics and Bioengineering · 2017
    Article
  5. 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

9 authors at 2 institutions in 1 country.

Charles HobsonDepartment of Surgery, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America; Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida, United States of America.
John DortchDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Tezcan Ozrazgat BaslantiDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Daniel R LayonDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Alina RocheDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Alison RiouxDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Jeffrey S HarmanDepartment of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida, United States of America.
Brenda FahyDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Azra BihoracDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
University of Florida · USMalcom Randall VA Medical Center · US

Funding

PROMISES: Progenitor Endothelial Cells as a Marker of Endothelial Injury and RepaK23GM087709 · NIGMS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA · 2010 to 2013
$497k
NIGMS NIH HHS K23 GM087709NIGMS NIH HHS K23GM087709
6 · The paper itself

Abstract

objectiveSubarachnoid hemorrhage (SAH) is a particularly devastating type of stroke which is responsible for one third of all stroke-related years of potential life lost before age 65. Surgical treatment has been shown to decrease both morbidity and mortality after subarachnoid hemorrhage. We hypothesized that payer status other than private insurance is associated with lower allocation to surgical treatment for patients with SAH and worse outcomes.

designWe examined the association between insurance type and surgical treatment allocation and outcomes for patients with SAH while adjusting for a wide range of patient and hospital factors. We analyzed the Nationwide Inpatient Sample hospital discharge database using survey procedures to produce weighted estimates representative of the United States population. PATIENTS: We studied 21047 discharges, representing a weighted estimate of 102595 patients age 18 and above with a discharge diagnosis of SAH between 2003 and 2008. MEASUREMENTS: Multivariable logistic and generalized linear regression analyses were used to assess for any associations between insurance status and surgery allocation and outcomes. MAIN

resultsDespite the benefits of surgery 66% of SAH patients did not undergo surgical treatment to prevent rebleeding. Mortality was more than twice as likely for patients with no surgical treatment compared to those who received surgery. Medicare patients were significantly less likely to receive surgical treatment.

conclusionsNearly two thirds of patients with SAH don't receive operative care, and Medicare patients were significantly less likely to receive surgical treatment than other patients. Bias against the elderly and those with chronic illness and disability may play a part in these findings. A system of regionalized care for patients presenting with SAH may reduce disparities and improve appropriate allocation to surgical care and deserves prospective study.

Indexed as

AgedFemaleHospital MortalityHumansInpatientsInsurance CoverageMaleMedically UninsuredMedicareMiddle AgedPatient DischargeRisk FactorsSubarachnoid HemorrhageTreatment OutcomeUnited States

Identifiers

PMID25141303
PMCPMC4139299
OpenAlexW2026621941

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.