Evidence map›Paper›PMID 30403534›Full record

ArticleAJR. American journal of roentgenology2019

Impact of a Health Information Technology-Enabled Appropriate Use Criterion on Utilization of Emergency Department CT for Renal Colic.

Ali S Raja, Sarvenaz Pourjabbar, Ivan K Ip, Christopher W Baugh, Aaron D Sodickson, Michael O'Leary, Ramin Khorasani

Abstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Implementation of a clinical practice guideline for assessment and management of renal colic in the emergency department.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2023
    Article
  6. Combining text mining with clinical decision support in clinical practice: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  7. Review
  8. Article
  9. 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 at 2 institutions in 1 country.

Ali S Raja1 Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Sarvenaz Pourjabbar1 Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Ivan K Ip1 Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Christopher W Baugh4 Harvard Medical School, Boston, MA.
Aaron D Sodickson1 Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Michael O'Leary4 Harvard Medical School, Boston, MA.
Ramin Khorasani1 Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Brigham and Women's Hospital · USMassachusetts General Hospital · US

Funding

Impact of decision support and accountability tools on adoption of evidenceUC4EB012952 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KHORASANI, RAMIN · 2010 to 2010
$1.5M
NIBIB NIH HHS UC4 EB012952
6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the impact of an appropriate use criterion (AUC) for renal colic based on local best practice, implemented as electronic clinical decision support (CDS), on the emergency department (ED) use of CT for patients with suspected nephrolithiasis. MATERIALS AND

methodsThis retrospective cohort study was performed in the EDs of a level I trauma center (study site) and local comparable hospital (control site). An AUC for patients younger than 50 years with a history of uncomplicated nephrolithiasis presenting with renal colic was developed by an interdisciplinary emergency medicine, emergency radiology, and urology team and embedded as CDS. AUC-consistent CT of ureter requests received no CDS alert. Otherwise, the orderer was alerted to consider a trial of symptomatic control or discharge without CT. A natural language processing tool mined ED notes for visits in September 2010-February 2012 (before AUC implementation) and April 2013-September 2014 (1 year after implementation) for concept unique identifiers of flank tenderness or renal or ureteral pain. Manual review excluded noneligible cases; the others were reviewed by a multidisciplinary team. Chi-square tests were used to assess for CT rate differences, the primary outcome.

resultsThe final sample included 467 patients (194 study site) before and 306 (88 study site) after AUC implementation. The study site's CT of ureter rate decreased from 23.7% (46/194) to 14.8% (13/88) (p = 0.03) after implementation of the AUC. The rate at the control site remained unchanged, 49.8% (136/273) versus 48.2% (105/218) (p = 0.3).

conclusionImplementing an AUC based on local best practice as CDS may effectively curb potential imaging overuse in a subset of ED patients with renal colic unlikely to have a complicated course or alternative dangerous diagnosis.

Indexed as

Decision Support Systems, ClinicalAdultAlgorithmsEmergency Service, HospitalEvidence-Based MedicineFemaleHumansMaleMiddle AgedNatural Language ProcessingRenal ColicRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedUtilization Reviewappropriate use criteriaevidence-based imagingnephrolithiasisProtecting Access to Medicare Act

Identifiers

PMID30403534
PMCPMC12870738
OpenAlexW2900362059

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.