Evidence map›Paper›PMID 25918697›Full record

ArticleJournal of public health research2015

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

Jim E Banta, Askari Addison, W Lawrence Beeson

Abstract read
In one paragraph

Article in Journal of public health research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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 synthesis or guideline pooled it.

  1. Pooled it
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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.

Jim E BantaSchool of Public Health, Loma Linda University , CA.
Askari AddisonArizona Department of Health Service , Phoenix, AZ, USA.
W Lawrence BeesonSchool of Public Health, Loma Linda University , CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocio-demographic factors are associated with increased emergency department (ED) use among patients with epilepsy. However, there has been limited spatial analysis of such visits. DESIGN AND

methodsCalifornia ED visit at the patient ZIP Code level were examined using Kulldorf's spatial scan statistic to identify clusters of increased risk for epilepsy-related visits. Logistic regression was used to examine the relative importance of patient socio-demographics, Census-based and hospital measures.

resultsDuring 2009-2011 there were 29,715,009 ED visits at 330 hospitals, of which 139,235 (0.5%) had epilepsy (International Classification of Disease-9 345.xx) as the primary diagnosis. Three large urban clusters of high epilepsy-related ED visits were centred in the cities of Los Angeles, Oakland and Stockton and a large rural cluster centred in Kern County. No consistent pattern by age, race/ethnicity, household structure, and income was observed among all clusters. Regression found only the Los Angeles cluster significant after adjusting for other measures.

conclusionsGeospatial analysis within a large and geographically diverse region identified a cluster within its most populous city having an increased risk of ED visits for epilepsy independent of selected socio-demographic and hospital measures. Additional research is necessary to determine whether elevated rates of ED visits represent increased prevalence of epilepsy or an inequitable system of epilepsy care. Significance for public healthThere have been few spatial analyses regarding treatment for epilepsy. This paper significantly expands upon previous work by simultaneously considering multiple urban centres and sparsely populated agricultural and desert/mountain areas in a large state. Furthermore, most epilepsy studies involve one system of care or funding source (such as Department of Veterans Affairs, Medicare, Medicaid, or private insurance plans). This paper considers all funding sources at community-based hospitals. Patient socio-demographics, area-based summaries of socio-demographics, and basic hospital characteristics explain most of the observed spatial variation in rates of emergency department (ED) visits related to epilepsy. However, preliminary spatial analysis demonstrated that an area within downtown Los Angeles did have a higher rate of epilepsy-related visits compared to the rest of the state. A more comprehensive surveillance approach with ED visit data could be readily applied to other large geographic areas and be useful both for on-going monitoring and public health intervention.

Indexed as

Californiaemergency departmentepilepsyGeographic Information Systemssurveillance

Identifiers

PMID25918697
PMCPMC4407042

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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.