Literature DB >> 24598038

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

Zachary M Grinspan1,2,3, Erika L Abramson1,2,3,4,5, Samprit Banerjee4,6, Lisa M Kern2,3,4,5,7, Rainu Kaushal1,2,3,4,5,7, Jason S Shapiro8.   

Abstract

OBJECTIVE: Hospital 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.
METHODS: We 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.
RESULTS: Of 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. Wiley Periodicals, Inc.
© 2014 International League Against Epilepsy.

Entities:  

Keywords:  Epidemiology; Epilepsy; Health information exchange; Health information technology; Health services research

Mesh:

Year:  2014        PMID: 24598038      PMCID: PMC4037914          DOI: 10.1111/epi.12552

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   6.740


  32 in total

1.  HEAL NY: Promoting interoperable health information technology in New York State.

Authors:  Lisa M Kern; Yolanda Barron; Erika L Abramson; Vaishali Patel; Rainu Kaushal
Journal:  Health Aff (Millwood)       Date:  2009 Mar-Apr       Impact factor: 6.301

2.  A framework for assessing patient crossover and health information exchange value.

Authors:  David V Laborde; Jacqueline A Griffin; Hannah K Smalley; Pinar Keskinocak; George Mathew
Journal:  J Am Med Inform Assoc       Date:  2011-06-24       Impact factor: 4.497

3.  Comorbidities of epilepsy: results from the Epilepsy Comorbidities and Health (EPIC) survey.

Authors:  Ruth Ottman; Richard B Lipton; Alan B Ettinger; Joyce A Cramer; Michael L Reed; Alan Morrison; George J Wan
Journal:  Epilepsia       Date:  2011-01-26       Impact factor: 5.864

4.  All health care is not local: an evaluation of the distribution of Emergency Department care delivered in Indiana.

Authors:  John T Finnell; J Marc Overhage; Shaun Grannis
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 5.  Patients with brain tumor-related epilepsy.

Authors:  Marta Maschio; Loredana Dinapoli
Journal:  J Neurooncol       Date:  2012-04-22       Impact factor: 4.130

6.  Using a health information exchange system for imaging information: patterns and predictors.

Authors:  Joshua R Vest; Zachary M Grinspan; Lisa M Kern; Thomas R Campion; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  Remission of seizures and relapse in patients with epilepsy.

Authors:  J F Annegers; W A Hauser; L R Elveback
Journal:  Epilepsia       Date:  1979-12       Impact factor: 5.864

Review 8.  Health information exchange and patient safety.

Authors:  David C Kaelber; David W Bates
Journal:  J Biomed Inform       Date:  2007-09-07       Impact factor: 6.317

Review 9.  Defining and measuring interpersonal continuity of care.

Authors:  John W Saultz
Journal:  Ann Fam Med       Date:  2003 Sep-Oct       Impact factor: 5.166

10.  Geographical distribution of patients visiting a health information exchange in New York City.

Authors:  Arit Onyile; Sandip R Vaidya; Gilad Kuperman; Jason S Shapiro
Journal:  J Am Med Inform Assoc       Date:  2012-10-27       Impact factor: 4.497

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  11 in total

1.  Predicting frequent ED use by people with epilepsy with health information exchange data.

Authors:  Zachary M Grinspan; Jason S Shapiro; Erika L Abramson; Giles Hooker; Rainu Kaushal; Lisa M Kern
Journal:  Neurology       Date:  2015-08-26       Impact factor: 9.910

2.  Out-of-Network Emergency Department Use among Managed Medicaid Beneficiaries.

Authors:  Maria C Raven; David Guzman; Alice H Chen; John Kornak; Margot Kushel
Journal:  Health Serv Res       Date:  2016-11-11       Impact factor: 3.402

3.  Using EHRs to advance epilepsy care.

Authors:  Juma S Mbwana; Zachary M Grinspan; Russell Bailey; Madison Berl; Jeffrey Buchhalter; Adrian Bumbut; Zach Danner; Tracy Glauser; Angie Glotstein; Howard Goodkin; Brian Jacobs; Lisa Jones; Barbara Kroner; Gardiner Lapham; Tobias Loddenkemper; Demetrius M Maraganore; Doug Nordli; William D Gaillard
Journal:  Neurol Clin Pract       Date:  2019-02

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

Authors:  Zachary M Grinspan; Jason S Shapiro; Erika L Abramson; Hye-Young Jung; Rainu Kaushal; Lisa M Kern
Journal:  Epilepsia       Date:  2015-01-09       Impact factor: 5.864

5.  Patients Visiting Multiple Emergency Departments: Patterns, Costs, and Risk Factors.

Authors:  Todd W Lyons; Karen L Olson; Nathan P Palmer; Reed Horwitz; Kenneth D Mandl; Andrew M Fine
Journal:  Acad Emerg Med       Date:  2017-10-23       Impact factor: 3.451

6.  Emergency Department Switching and Duplicate Computed Tomography Scans in Patients With Kidney Stones.

Authors:  Parth K Shah; Phyllis L Yan; Casey A Dauw; Brent K Hollenbeck; Khurshid R Ghani; Amy N Luckenbaugh; John M Hollingsworth
Journal:  Urology       Date:  2018-01-31       Impact factor: 2.649

7.  Patients' Use of Multiple Hospitals in a Major US City: Implications for Population Management.

Authors:  Lisa M Kern; Zachary Grinspan; Jason S Shapiro; Rainu Kaushal
Journal:  Popul Health Manag       Date:  2016-06-07       Impact factor: 2.459

8.  Computed tomography in patients with epileptic seizures admitted acutely to hospital: A population level analysis of routinely collected healthcare data.

Authors:  James W Mitchell; Constantinos Kallis; Peter A Dixon; Ruth Grainger; Anthony G Marson
Journal:  Clin Med (Lond)       Date:  2020-03       Impact factor: 2.659

9.  Impact of Health Information Exchange on Emergency Medicine Clinical Decision Making.

Authors:  Bradley D Gordon; Kyle Bernard; Josh Salzman; Robin R Whitebird
Journal:  West J Emerg Med       Date:  2015-12-14

10.  Spatial patterns of epilepsy-related emergency department visits in california.

Authors:  Jim E Banta; Askari Addison; W Lawrence Beeson
Journal:  J Public Health Res       Date:  2015-04-17
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