Evidence map›Paper›PMID 25174321›Full record

Trial reportInternational journal of medical informatics2014

Implementation and evaluation of an integrated computerized asthma management system in a pediatric emergency department: a randomized clinical trial.

Judith W Dexheimer, Thomas J Abramo, Donald H Arnold, Kevin Johnson, Yu Shyr, Fei Ye, Kang-Hsien Fan, Neal Patel, Dominik Aronsky

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 7 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

25 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  3. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
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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.

Judith W DexheimerDivision of Emergency Medicine, Cincinnati Children's, United States; Division of Biomedical Informatics, Cincinnati Children's, United States. Electronic address: Judith.Dexheimer@cchmc.org.
Thomas J AbramoDepartment of Pediatrics, University of Arkansas for Medical Sciences, United States.
Donald H ArnoldDepartment of Emergency Medicine, Vanderbilt University, United States; Center for Asthma Research and Environmental Health, Vanderbilt University, United States.
Kevin JohnsonDepartment of Biomedical Informatics, Vanderbilt University, United States.
Yu ShyrDepartment of Biostatistics, Vanderbilt University, United States.
Fei YeDepartment of Biostatistics, Vanderbilt University, United States.
Kang-Hsien FanDepartment of Biostatistics, Vanderbilt University, United States.
Neal PatelDepartment of Biomedical Informatics, Vanderbilt University, United States.
Dominik AronskyDepartment of Emergency Medicine, Vanderbilt University, United States; Department of Biomedical Informatics, Vanderbilt University, United States.

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Development of a Pediatric Acute Asthma Prediction Rule for severity and outcomeK23HL080005 · NHLBI · VANDERBILT UNIVERSITY · PI ARNOLD, DONALD HAYES · 2008 to 2012
$738k
An Informatics-Based Guideline Implementation Framework for Asthma CareR21LM009747 · NLM · VANDERBILT UNIVERSITY · PI ARONSKY, DOMINIK · 2008 to 2009
$379k
NHLBI NIH HHS K23 HL080005NHLBI NIH HHS K23 HL80005NLM NIH HHS LM 009747-01NLM NIH HHS R21 LM009747NLM NIH HHS T15 LM007450NLM NIH HHS T15 LM 007450-03
6 · The paper itself

Abstract

objectiveThe use of evidence-based guidelines can improve the care for asthma patients. We implemented a computerized asthma management system in a pediatric emergency department (ED) to integrate national guidelines. Our objective was to determine whether patient eligibility identification by a probabilistic disease detection system (Bayesian network) combined with an asthma management system embedded in the workflow decreases time to disposition decision.

methodsWe performed a prospective, randomized controlled trial in an urban, tertiary care pediatric ED. All patients 2-18 years of age presenting to the ED between October 2010 and February 2011 were screened for inclusion by the disease detection system. Patients identified to have an asthma exacerbation were randomized to intervention or control. For intervention patients, asthma management was computer-driven and workflow-integrated including computer-based asthma scoring in triage, and time-driven display of asthma-related reminders for re-scoring on the electronic patient status board combined with guideline-compliant order sets. Control patients received standard asthma management. The primary outcome measure was the time from triage to disposition decision.

resultsThe Bayesian network identified 1339 patients with asthma exacerbations, of which 788 had an asthma diagnosis determined by an ED physician-established reference standard (positive predictive value 69.9%). The median time to disposition decision did not differ among the intervention (228 min; IQR=(141, 326)) and control group (223 min; IQR=(129, 316)); (p=0.362). The hospital admission rate was unchanged between intervention (25%) and control groups (26%); (p=0.867). ED length of stay did not differ among intervention (262 min; IQR=(165, 410)) and control group (247 min; IQR=(163, 379)); (p=0.818).

conclusionsThe control and intervention groups were similar in regards to time to disposition; the computerized management system did not add additional wait time. The time to disposition decision did not change; however the management system integrated several different information systems to support clinicians' communication.

Indexed as

AdolescentAsthmaChildChild, PreschoolDecision Support Systems, ClinicalEmergency Service, HospitalFemaleHumansMalePediatricsPractice Guidelines as TopicSystems IntegrationTriageUnited StatesWorkflowAsthmaClinical decision supportEmergency medicineMedical informaticsPediatrics

Identifiers

PMID25174321
PMCPMC5460074

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.