Evidence map›Paper›PMID 25571986›Full record

ArticleEpilepsia2015

Hospital crossover increases utilization for people with epilepsy: a retrospective cohort study.

Zachary M Grinspan, Jason S Shapiro, Erika L Abramson, Hye-Young Jung, Rainu Kaushal, Lisa M Kern

Abstract read
In one paragraph

Article in Epilepsia, 2015. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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 Healthcare Policy and Research, Weill Cornell Medical College, New York, New York, U.S.A; Department of Pediatrics, Weill Cornell Medical College, New York, New York, U.S.A; Center for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, New York, U.S.A; New York Presbyterian Hospital, New York, New York, U.S.A.
Jason S Shapiro
Erika L Abramson
Hye-Young Jung
Rainu Kaushal
Lisa M Kern

Funding

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
MOLECULAR MECHANISMS IN EXCITABLE MEMBRANESK04NS000662 · NINDS · UNIVERSITY OF CALIFORNIA IRVINE · PI CAHALAN, MICHAEL D · 1985 to 1985
–
AHRQ HHS R01 HS021261AHRQ HHS R01-HS021261NHLBI NIH HHS K12 HL109005NHLBI NIH HHS K12-HL109005NINDS NIH HHS K12-NS0662NINDS NIH HHS K12 NS066274NINDS NIH HHS L40 NS080273
6 · The paper itself

Abstract

objectives"Hospital crossover" occurs when people visit multiple hospitals for care, which may cause gaps in electronic health records. Although crossover is common among people with epilepsy, the effect on subsequent use of health services is unknown. Understanding this effect will help prioritize health care delivery innovations targeted for this population.

methodsWe collected de-identified information from a health information exchange network describing 7,836 people with epilepsy who visited any of seven hospitals in New York, NY from 2009-2012. Data included demographics, comorbidities, and 2 years of visit information from ambulatory, inpatient, emergency department (ED), and radiology settings. We performed two complementary retrospective cohort analyses, in order to (1) illustrate the effect on a carefully selected subgroup, and (2) confirm the effect across the study population. First, we performed a matched cohort analysis on 410 pairs of individuals with and without hospital crossover in the baseline year. Second, we performed a propensity score odds weighted ordinal logistic regression analysis to estimate the effect across all 7,836 individuals. The outcomes were the use of six health services in the follow-up year.

resultsIn the matched pair analysis, baseline hospital crossover increased the odds of more visits in the ED (odds ratio 1.42, 95% confidence interval [CI] 1.05-1.95) and radiology settings (1.7, 1.22-2.38). The regression analysis confirmed the ED and radiology findings, and also suggested that crossover led to more inpatient admissions (1.35, 1.11-1.63), head CTs (1.44, 1.04-2), and brain MRIs (2.32, 1.59-3.37). SIGNIFICANCE: Baseline hospital crossover is an independent marker for subsequent increased health service use in multiple settings among people with epilepsy. Health care delivery innovations targeted for people with epilepsy who engage in hospital crossover should prioritize (1) sharing radiology images and reports (to reduce unnecessary radiology use, particularly head CTs), and (2) improving coordination of care (to reduce unnecessary ED and inpatient use).

Indexed as

Electronic Health RecordsEpilepsyAdolescentAdultAgedAged, 80 and overChildChild, PreschoolEmergency Service, HospitalFemaleHealth ServicesHospitalizationHospitalsHumansInfantInfant, NewbornCare coordinationEpilepsyHealth information exchangeHealth information technologyHealth services research

Identifiers

PMID25571986
PMCPMC4610742

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Registered trials

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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.