Evidence map›Paper›PMID 25443989›Full record

ArticleAnnals of emergency medicine2015

Chief complaint-based performance measures: a new focus for acute care quality measurement.

Richard T Griffey, Jesse M Pines, Heather L Farley, Michael P Phelan, Christopher Beach, Jeremiah D Schuur, Arjun K Venkatesh

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Emergency department utilization and presenting chief complaints by Veterans living with dementia.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Priorities to Overcome Barriers Impacting Data Science Application in Emergency Care Research.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Development of a Patient-centered Outcome Measure for Emergency Department Asthma Patients.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2017
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Richard T GriffeyDivision of Emergency Medicine and Institute for Public Health, Washington University School of Medicine, St. Louis, MO. Electronic address: griffeyr@wustl.edu.
Jesse M PinesDepartments of Emergency Medicine and Health Policy, The George Washington University School of Medicine, Washington, DC.
Heather L FarleyDepartment of Emergency Medicine, Institute for Patient Safety, Cleveland Clinic, Cleveland, OH.
Michael P PhelanDepartment of Emergency Medicine, Christiana Care Health System, Wilmington, DE.
Christopher BeachDepartment of Emergency Medicine, Northwestern Feinberg School of Medicine, Chicago, IL.
Jeremiah D SchuurDepartment of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Arjun K VenkateshDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
WASHINGTON UNIVERSITY CER MENTORED CAREER DEVELOPMENT AWARD KM1KM1CA156708 · NCI · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$2.5M
Washington University Institute of Clinical and Translational SciencesTL1TR000449 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$2.5M
Washington University Institute of Clinical and Translational Sciences (TL1)TL1RR024995 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$2.3M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS TL1 TR000449NCATS NIH HHS UL1 TR000448NCI NIH HHS KM1 CA156708NCI NIH HHS KM1CA156708NCRR NIH HHS KL2 RR024994NCRR NIH HHS TL1 RR024995NCRR NIH HHS UL1 RR024992
6 · The paper itself

Abstract

Performance measures are increasingly important to guide meaningful quality improvement efforts and value-based reimbursement. Populations included in most current hospital performance measures are defined by recorded diagnoses using International Classification of Diseases, Ninth Revision codes in administrative claims data. Although the diagnosis-centric approach allows the assessment of disease-specific quality, it fails to measure one of the primary functions of emergency department (ED) care, which involves diagnosing, risk stratifying, and treating patients' potentially life-threatening conditions according to symptoms (ie, chief complaints). In this article, we propose chief complaint-based quality measures as a means to enhance the evaluation of quality and value in emergency care. We discuss the potential benefits of chief complaint-based measures, describe opportunities to mitigate challenges, propose an example measure set, and present several recommendations to advance this paradigm in ED-based performance measurement.

Indexed as

Chest PainEmergency Medical ServicesHumansQuality Assurance, Health CareQuality ImprovementQuality Indicators, Health Care

Identifiers

PMID25443989
PMCPMC4375011

What OpenQuestion holds

Textmetadata
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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.