Evidence map›Paper›PMID 24598038›Full record

ArticleEpilepsia2014

People with epilepsy who use multiple hospitals; prevalence and associated factors assessed via a health information exchange.

Zachary M Grinspan, Erika L Abramson, Samprit Banerjee, Lisa M Kern, Rainu Kaushal, Jason S Shapiro

Abstract read
In one paragraph

Article in Epilepsia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Using EHRs to advance epilepsy care.Neurology. Clinical practice · 2019
    Article
  6. Article
  7. Article
  8. Patients Visiting Multiple Emergency Departments: Patterns, Costs, and Risk Factors.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2017
    Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. 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.

Zachary M GrinspanDepartment of Pediatrics, Weill Cornell Medical College, New York, New York, U.S.A.
Erika L AbramsonDepartment of Pediatrics, Weill Cornell Medical College, New York, New York, U.S.A.
Samprit BanerjeeDepartment of Public Health, Weill Cornell Medical College, New York, New York, U.S.A.
Lisa M KernCenter for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, New York, U.S.A.
Rainu KaushalDepartment of Pediatrics, Weill Cornell Medical College, New York, New York, U.S.A.
Jason S ShapiroDepartment of Emergency Medicine, Mount Sinai School of Medicine, New York, New York, U.S.A.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024996 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$49.6M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
MOUNT SINAI EMERGENCY MEDICINE RESEARCH CAREER DEVELOPMENT PROGRAMK12HL109005 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RICHARDSON, LYNNE D. · 2011 to 2015
$3.9M
WCMC Child Neurology Postdoctoral Training on Developmental NeurosciencesK12NS066274 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSOFSKY, BARRY E · 2010 to 2019
$2.8M
Advancing Quality Measurement and Care Improvement with Health Information ExchanR01HS021261 · AHRQ · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHAPIRO, JASON SCOTT · 2012 to 2016
$2.4M
"Ecosystem Focused Therapy" in Post Stroke DepressionR01MH096685 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI ALEXOPOULOS, GEORGE S · 2012 to 2016
$1.9M
Doxycycline for COPD in HIV-Infected PatientsR34HL117352 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLESBY, MARSHALL J, KANER, ROBERT J · 2012 to 2013
$1.1M
MDEpiNet: MCM (Medical Countermeasures)U01FD004494 · FDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SEDRAKYAN, ART · 2012 to 2012
$1.1M
AHRQ HHS R01 HS021261AHRQ HHS R01-HS021261FDA HHS 1U01FD004494FDA HHS U01 FD004494NCATS NIH HHS UL1 TR000457NCRR NIH HHS UL1 RR024996NCRR NIH HHS UL1-RR024996NHLBI NIH HHS K12 HL109005NHLBI NIH HHS K12-HL109005NHLBI NIH HHS R34 HL117352NHLBI NIH HHS R34-HL117352NIMH NIH HHS R01 MH096685NIMH NIH HHS R01-MH096685NINDS NIH HHS K12 NS066274NINDS NIH HHS K12-NS066274PHS HHS C1CMS331055
6 · The paper itself

Abstract

objectiveHospital crossover occurs when people seek care at multiple hospitals, creating information gaps for physicians at the time of care. Health information exchange (HIE) is technology that fills these gaps, by allowing otherwise unaffiliated physicians to share electronic medical information. However, the potential value of HIE is understudied, particularly for chronic neurologic conditions like epilepsy. We describe the prevalence and associated factors of hospital crossover among people with epilepsy, in order to understand the epidemiology of who may benefit from HIE.

methodsWe used a cross-sectional study design to examine the bivariate and multivariable association of demographics, comorbidity, and health service utilization variables with hospital crossover, among people with epilepsy. We identified 8,074 people with epilepsy from the International Classification of Diseases, Ninth Revision (ICD-9) codes, obtained from an HIE that linked seven hospitals in Manhattan, New York. We defined hospital crossover as care from more than one hospital in any setting (inpatient, outpatient, emergency, or radiology) over 2 years.

resultsOf 8,074 people with epilepsy, 1,770 (22%) engaged in hospital crossover over 2 years. Crossover was associated with younger age (children compared with adults, adjusted odds ratio [OR] 1.4, 95% confidence interval [CI] 1.2-1.7), living near the hospitals (Manhattan vs. other boroughs of New York City, adjusted OR 1.6, 95% CI 1.4-1.8), more visits in the emergency, radiology, inpatient, and outpatient settings (p < 0.001 for each), and more head computerized tomography (CT) scans (p < 0.01). The diagnosis of "encephalopathy" was consistently associated with crossover in bivariate and multivariable analyses (adjusted OR 2.66, 95% CI 2.14-3.29), whereas the relationship between other comorbidities and crossover was less clear. SIGNIFICANCE: Hospital crossover is common among people with epilepsy, particularly among children, frequent users of medical services, and people living near the study hospitals. HIE should focus on these populations. Further research should investigate why hospital crossover occurs, how it affects care, and how HIE can most effectively mitigate the resultant fragmentation of medical records.

Indexed as

Medical Record LinkageAdolescentAdultAgedAged, 80 and overChildChild, PreschoolComorbidityContinuity of Patient CareCross-Sectional StudiesElectronic Health RecordsEpilepsyFemaleHealth Information ManagementHospital Information SystemsHospitals, UrbanEpidemiologyEpilepsyHealth information exchangeHealth information technologyHealth services research

Identifiers

PMID24598038
PMCPMC4037914

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.