Evidence map›Paper›PMID 27864915›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2017

Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications.

Arjun K Venkatesh, Hao Mei, Keith E Kocher, Michael Granovsky, Ziad Obermeyer, Erica S Spatz, Craig Rothenberg, Harlan M Krumholz, Zhenqui Lin

Abstract read
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

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  3. Ambulatory Care Follow-Up and Fragmentation After Emergency Department Visits Among Older Adults.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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3 more citing papers are in PubMed but not listed here.

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

9 authors.

Arjun K VenkateshDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Hao MeiYale New Haven Hospital-Center for Outcomes Research and Evaluation, New Haven, CT.
Keith E KocherDepartment of Emergency Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
Michael GranovskyLogix Health, Bedford, MA.
Ziad ObermeyerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA.
Erica S SpatzDepartment of Internal Medicine and Division of Cardiology, Yale University School of Medicine, New Haven, CT.
Craig RothenbergDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Harlan M KrumholzDepartment of Internal Medicine and Division of Cardiology, Yale University School of Medicine, New Haven, CT.
Zhenqui LinYale New Haven Hospital-Center for Outcomes Research and Evaluation, New Haven, CT.

Funding

Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Understanding the Causes and Consequences of Variation in Emergency Department Hospitalization Practices Across the United StatesK08HS024160 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOCHER, KEITH ERIC · 2015 to 2019
$754k
AHRQ HHS K08 HS024160NCATS NIH HHS KL2 TR000140NHLBI NIH HHS U01 HL105270
6 · The paper itself

Abstract

objectivesAdministrative claims data sets are often used for emergency care research and policy investigations of healthcare resource utilization, acute care practices, and evaluation of quality improvement interventions. Despite the high profile of emergency department (ED) visits in analyses using administrative claims, little work has evaluated the degree to which existing definitions based on claims data accurately captures conventionally defined hospital-based ED services. We sought to construct an operational definition for ED visitation using a comprehensive Medicare data set and to compare this definition to existing operational definitions used by researchers and policymakers.

methodsWe examined four operational definitions of an ED visit commonly used by researchers and policymakers using a 20% sample of the 2012 Medicare Chronic Condition Warehouse (CCW) data set. The CCW data set included all Part A (hospital) and Part B (hospital outpatient, physician) claims for a nationally representative sample of continuously enrolled Medicare fee-for-services beneficiaries. Three definitions were based on published research or existing quality metrics including: 1) provider claims-based definition, 2) facility claims-based definition, and 3) CMS Research Data Assistance Center (ResDAC) definition. In addition, we developed a fourth operational definition (Yale definition) that sought to incorporate additional coding rules for identifying ED visits. We report levels of agreement and disagreement among the four definitions.

resultsOf 10,717,786 beneficiaries included in the sample data set, 22% had evidence of ED use during the study year under any of the ED visit definitions. The definition using provider claims identified a total of 4,199,148 ED visits, the facility definition 4,795,057 visits, the ResDAC definition 5,278,980 ED visits, and the Yale definition 5,192,235 ED visits. The Yale definition identified a statistically different (p < 0.05) collection of ED visits than all other definitions including 17% more ED visits than the provider definition and 2% fewer visits than the ResDAC definition. Differences in ED visitation counts between each definition occurred for several reasons including the inclusion of critical care or observation services in the ED, discrepancies between facility and provider billing regulations, and operational decisions of each definition.

conclusionCurrent operational definitions of ED visitation using administrative claims produce different estimates of ED visitation based on the underlying assumptions applied to billing data and data set availability. Future analyses using administrative claims data should seek to validate specific definitions and inform the development of a consistent, consensus ED visitation definitions to standardize research reporting and the interpretation of policy interventions.

Indexed as

AgedAged, 80 and overClinical CodingEmergency Service, HospitalFemaleHospitalizationHumansMaleMedicareUnited States

Identifiers

PMID27864915
PMCPMC5905698

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.