Evidence map›Paper›PMID 26448796›Full record

Trial reportApplied clinical informatics2015

Development, Evaluation and Implementation of Chief Complaint Groupings to Activate Data Collection: A Multi-Center Study of Clinical Decision Support for Children with Head Trauma.

S J Deakyne, L Bajaj, J Hoffman, E Alessandrini, D W Ballard, R Norris, L Tzimenatos, M Swietlik, E Tham, R W Grundmeier and 3 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Applied clinical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

13 authors.

S J DeakyneChildren's Hospital Colorado , Department of Research Informatics, Aurora, Colorado, United States.
L BajajUniversity of Colorado , Department of Pediatrics, Section of Emergency Medicine, Aurora, Colorado, United States.
J HoffmanNationwide Children's Hospital , Columbus, Ohio, United States.
E AlessandriniChildren's Hospital Medical Center , Cincinnati, Ohio, United States.
D W BallardKaiser Permanente, San Rafael Medical Center , San Rafael, California, United States.
R NorrisKaiser Permanente, Sacramento Medical Center , Sacramento, California, United States.
L TzimenatosUniversity of California Davis School of Medicine , Departments of Emergency Medicine and Pediatrics, Sacramento, California, United States.
M SwietlikChildren's Hospital Colorado , Department of Clinical Application Services, Aurora, Colorado, United States.
E ThamUniversity of Colorado , Department of Pediatrics, Section of Emergency Medicine, Aurora, Colorado, United States.
R W GrundmeierChildren's Hospital of Philadelphia and Perelman School of Medicine , Philadelphia, Pennsylvania, United States.
N KuppermannUniversity of California Davis School of Medicine , Departments of Emergency Medicine and Pediatrics, Sacramento, California, United States.
P S DayanColumbia University College of Physicians and Surgeons , Department of Pediatrics, Division of Emergency Medicine, New York, New York, United States.
Pediatric Emergency Care Applied Research Network (PECARN)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOveruse of cranial computed tomography scans in children with blunt head trauma unnecessarily exposes them to radiation. The Pediatric Emergency Care Applied Research Network (PECARN) blunt head trauma prediction rules identify children who do not require a computed tomography scan. Electronic health record (EHR) based clinical decision support (CDS) may effectively implement these rules but must only be provided for appropriate patients in order to minimize excessive alerts.

objectivesTo develop, implement and evaluate site-specific groupings of chief complaints (CC) that accurately identify children with head trauma, in order to activate data collection in an EHR.

methodsAs part of a 13 site clinical trial comparing cranial computed tomography use before and after implementation of CDS, four PECARN sites centrally developed and locally implemented CC groupings to trigger a clinical trial alert (CTA) to facilitate the completion of an emergency department head trauma data collection template. We tested and chose CC groupings to attain high sensitivity while maintaining at least moderate specificity.

resultsDue to variability in CCs available, identical groupings across sites were not possible. We noted substantial variability in the sensitivity and specificity of seemingly similar CC groupings between sites. The implemented CC groupings had sensitivities greater than 90% with specificities between 75-89%. During the trial, formal testing and provider feedback led to tailoring of the CC groupings at some sites.

conclusionsCC groupings can be successfully developed and implemented across multiple sites to accurately identify patients who should have a CTA triggered to facilitate EHR data collection. However, CC groupings will necessarily vary in order to attain high sensitivity and moderate-to-high specificity. In future trials, the balance between sensitivity and specificity should be considered based on the nature of the clinical condition, including prevalence and morbidity, in addition to the goals of the intervention being considered.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsChildCraniocerebral TraumaHumansMedical Order Entry SystemsMedical OveruseRadiographychief complaintselectronic health recordHead traumasensitivity and specificity

Identifiers

PMID26448796
PMCPMC4586340

What OpenQuestion holds

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Registered trials

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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.