Evidence map›Paper›PMID 29204728›Full record

ArticleInternational journal of emergency medicine2017

Variation in outpatient emergency department utilization in Texas Medicaid: a state-level framework for finding "superutilizers".

Chris Delcher, Chengliang Yang, Sanjay Ranka, Joseph Adrian Tyndall, Bruce Vogel, Elizabeth Shenkman

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 2 institutions in 1 country.

Chris DelcherInstitute for Child Health Policy, Department of Health Outcomes and Policy, University of Florida, Gainesville, FL, USA. cdelcher@ufl.edu.ORCID http://orcid.org/0000-0001-7214-0326
Chengliang YangDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA.
Sanjay RankaDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA.
Joseph Adrian TyndallDepartment of Emergency Medicine, University of Florida, Gainesville, FL, USA.
Bruce VogelInstitute for Child Health Policy, Department of Health Outcomes and Policy, University of Florida, Gainesville, FL, USA.
Elizabeth ShenkmanInstitute for Child Health Policy, Department of Health Outcomes and Policy, University of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of Florida Health · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
NCATS NIH HHS UL1 TR001427NIA NIH HHS P30 AG028740
6 · The paper itself

Abstract

backgroundVery frequent outpatient emergency department (ED) use-so called "superutilization"-at the state level is not well-studied. To address this gap, we examined frequent ED utilization in the largest state Medicaid population to date.

methodsUsing Texas Medicaid (the third largest in the USA) claims data, we examined the variability in expenditures, sociodemographics, comorbidities, and persistence across seven levels of ED utilization/year (i.e., 1, 2, 3-4, 5-6, 7-9, 10-14, and ≥ 15 visits). We classified visits into emergent and non-emergent categories using the most recent New York University algorithm.

resultsThirty-one percent (n = 346,651) of Texas Medicaid adult enrollees visited the ED at least once in 2014. Enrollees with ≥ 3 ED visits accounted for 8.5% of all adult patients, 60.4% of the total ED visits, and 62.1% of the total ED expenditures. Extremely frequent ED users (≥ 10 ED visits) represented < 1% of all users but accounted for 15.5% of all ED visits and 17.4% of the total ED costs. The proportions of ED visits classified as non-emergent or emergent, but primary care treatable varied little as ED visits increased. Overall, approximately 13% of ED visits were considered not preventable or avoidable.

conclusionsThe Texas Medicaid population has a substantial burden of chronic disease with only modest increases in substance use and mental health diagnoses as annual visits increase. Understanding the characteristics that lead to frequent ED use is vital to developing strategies and Medicaid policy to reduce high utilization.

Indexed as

Emergency departmentFrequent usersMedicaidSuperutilizers

Identifiers

PMID29204728
PMCPMC5714939
OpenAlexW2773648745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.