Evidence map›Paper›PMID 24238312›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2013

Patient demographic and health factors associated with frequent use of emergency medical services in a midsized city.

Amy Knowlton, Brian W Weir, Brenna S Hughes, R J Hunter Southerland, Cody W Schultz, Ravi Sarpatwari, Lawrence Wissow, Jonathan Links, Julie Fields, Junette McWilliams and 1 more

Open access · greenAbstract read
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 74 citations in OpenAlex.

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  8. A mobile integrated health program for the management of undifferentiated acute complaints in older adults is safe and feasible.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Observational
  9. [Utilization of pre-hospital emergency medical services: Secondary data analysis of health insurance data from Saxony-Anhalt].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023
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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

11 authors at 3 institutions in 1 country.

Amy KnowltonDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Brian W Weir
Brenna S Hughes
R J Hunter Southerland
Cody W Schultz
Ravi Sarpatwari
Lawrence Wissow
Jonathan Links
Julie Fields
Junette McWilliams
Wade Gaasch
Johns Hopkins University · USGoucher College · USBaltimore City Health Department · US

Funding

Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Using Evidence-Base Care: Age Variation in Common Factors in PPCP20MH086048 · NIMH · JOHNS HOPKINS UNIVERSITY · PI WISSOW, LAWRENCE S · 2010 to 2014
$4.2M
Informal Caregiving & Medical Adherence Among HIV+ IDUsR01DA019413 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KNOWLTON, AMY · 2006 to 2009
$2.2M
Enhanced brief Intervention for linking opiate abusing EMS patients to treatmentR34DA034314 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KNOWLTON, AMY · 2012 to 2013
$680k
Event-level correlates of substance use, violence, and HIV risk behaviorF31DA026763 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WEIR, BRIAN WILSON · 2009 to 2011
$124k
NIAID NIH HHS T32 AI102623NIDA NIH HHS F31 DA026763NIDA NIH HHS R01 DA019413NIDA NIH HHS R34 DA034314NIMH NIH HHS P20 MH086048NIMH NIH HHS P20 MH086048-01A1
6 · The paper itself

Abstract

objectivesTo optimize health care utilization, health outcomes, and costs, research is needed to improve an understanding of frequent users of emergency health services. Frequent use of emergency services is associated with high costs of health care and may be indicative of challenges accessing, or poor outcomes of, health care. Patient demographics and health factors related to frequent use of the emergency medical services (EMS) system of a midsized city were identified. Study findings will aid in the development of targeted interventions to improve population health.

methodsThe authors reviewed 9-1-1 call dispatch data and Baltimore City Fire Department (BCFD) EMS records from 2008 through 2010. Frequent use was defined as six or more EMS incidents in the 23-month period. Analyses used census data to compare demographics of EMS users to their population distribution and examined differences in demographics and health problems of frequent EMS users compared to nonfrequent users.

resultsFrequent EMS users (n = 1,969) had a range of six to 199 EMS incidents (mean = 11.2) during the observation period, and although they accounted for only 1.5% of EMS users, they were involved in 12.0% of incidents. Frequent users, compared to nonfrequent users and to the population, were more likely to be male, African American, and 45 years of age or older. Of frequent users, the modal age group was 45 to 54 years, accounting for 29.7% of frequent users, which represented twice this age group's population distribution. Furthermore, this age group had the greatest overrepresentation of males (63.0% of frequent users) and was the peak age group for incidents related to substance abuse (28.0% of frequent users' incidents in this age group). Frequent users, compared to nonfrequent users, had lower levels of incidents related to trauma (5.1% vs. 16.7%) and higher levels of medical incidents (94.8% vs. 82.9%). As proportions of EMS incidents among frequent versus nonfrequent users, respiratory, mental health, and seizure-related incidents were highest in the youngest age groups; substance abuse-related incidents were highest in those middle-aged (35 to 44 and 45 to 54 years). Of health problems, behavioral health (mental health or substance use) contributed most to frequent EMS use (23.4% of frequent users' incidents). Across all incidents, 65.8% of frequent users had indications of behavioral health problems, representing 6.6-fold higher odds than nonfrequent users (22.5%). Frequent compared to nonfrequent users also had higher levels of select chronic conditions (diabetes, 39.9% vs. 14.6%; asthma, 40.9% vs. 13.4%; and HIV, 9.1% vs. 2.4%), with unadjusted odds almost four to seven times higher.

conclusionsThe study findings revealed the major role of chronic somatic and behavioral health problems in frequent EMS use and that rates of frequent use were highest among those middle-aged, African American, and male. These results suggest the need for coordination of EMS with community-based, integrated medical and behavioral health services to improve access and use of preventive services, with implications for health outcomes and costs. This study demonstrates the value of EMS patient data in identifying at-risk populations and informing novel, targeted approaches to public health interventions.

Indexed as

AdolescentAdultAgedBaltimoreChildChild, PreschoolDemographyElectronic Health RecordsEmergency Medical ServicesFemaleHealth Care CostsHealth Services MisuseHealth Services Needs and DemandHumansInfantInfant, Newborn

Identifiers

PMID24238312
PMCPMC4063348
OpenAlexW2093556612

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.