Evidence map›Paper›PMID 30993147›Full record

ArticleEGEMS (Washington, DC)2019

Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN.

Heidi L Ekstrom, Elyse O Kharbanda, Dustin W Ballard, David R Vinson, Gabriela Vazquez-Benitez, Uli K Chettipally, Steven P Dehmer, Gopikrishna Kunisetty, Rashmi Sharma, Adina S Rauchwerger and 2 more

Abstract read
In one paragraph

Article in EGEMS (Washington, DC), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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  10. Diagnostic Performance of Emergency Physician Gestalt for Predicting Acute Appendicitis in Patients Age 5 to 20 Years.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2020
    Article
  11. Article
  12. Observational
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

12 authors.

Heidi L EkstromHealthPartners Institute, Minneapolis, Minnesota, US.
Elyse O KharbandaHealthPartners Institute, Minneapolis, Minnesota, US.
Dustin W BallardThe Permanente Medical Group, Oakland, California, US.
David R VinsonThe Permanente Medical Group, Oakland, California, US.
Gabriela Vazquez-BenitezHealthPartners Institute, Minneapolis, Minnesota, US.
Uli K ChettipallyThe Permanente Medical Group, Oakland, California, US.
Steven P DehmerHealthPartners Institute, Minneapolis, Minnesota, US.
Gopikrishna KunisettyHealthPartners Institute, Minneapolis, Minnesota, US.
Rashmi SharmaHealthPartners Institute, Minneapolis, Minnesota, US.
Adina S RauchwergerKaiser Permanente Division of Research, Oakland, California, US.
Patrick J O'ConnorHealthPartners Institute, Minneapolis, Minnesota, US.
Anupam B KharbandaChildren's MN, Department of Pediatric Emergency Medicine, Minneapolis, Minnesota, US.

Funding

EHR-based Decision Support for Pediatric Acute Abdominal Pain in Emergency CareR01HD079463 · NICHD · HEALTHPARTNERS INSTITUTE · PI KHARBANDA, ANUPAM B, KHARBANDA, ELYSE OLSHEN · 2015 to 2019
$3.1M
NICHD NIH HHS R01 HD079463
6 · The paper itself

Abstract

backgroundAppendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Health Care Systems Research Network (HCSRN).

objectivesTo describe the development and implementation of a clinical decision support tool (Appy CDS) built independently but synergistically at two large HCSRN affiliated health systems using well-established platforms, and to assess the tool's Triage component, aiming to identify pediatric patients at increased risk for appendicitis.

resultsDespite differences by site in design and implementation, such as the use of alerts, incorporating gestalt, and other workflow variations across sites, using simple screening questions and automated exclusions, both systems were able to identify a population with similar appendicitis rates (11.8 percent and 10.6 percent), where use of the full Appy CDS would be indicated. DISCUSSION: These 2 HCSRN sites designed Appy CDS to capture a population at risk for appendicitis and deliver CDS to that population while remaining locally relevant and adhering to organizational preferences. Despite different approaches to point-of-care CDS, the sites have identified similar cohorts with nearly identical background rates of appendicitis. NEXT STEPS: The full Appy CDS tool, providing personalized risk assessment and tailored recommendations, is undergoing evaluation as part of a pragmatic cluster randomized trial aiming to reduce reliance on advanced diagnostic imaging. The novel approaches to CDS we present could serve as the basis for future ED interventions.

Indexed as

AppendicitisClinical Decision SupportPediatric Emergency MedicineRisk Stratification

Identifiers

PMID30993147
PMCPMC6460497

What OpenQuestion holds

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LicenceCC BY
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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.