A Reminder System for Paper-Based Asthma Guidelines in the Pediatric Emergency Department
NCT ID: NCT00699439
Last Updated: 2018-08-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
1102 participants
INTERVENTIONAL
2009-07-31
2015-06-30
Brief Summary
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We aim to implement a real-time, computerized asthma detection system and integrate the system with the pediatric emergency department information system, and evaluate the effect of the asthma detection system on reminding clinicians to use the paper-based asthma guideline.
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Detailed Description
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Uncontrolled asthma can lead to exacerbations requiring the patient to seek immediate care, frequently in an ED setting. Several asthma guidelines, including the nationally accepted guideline from the National Heart, Lung, and Blood Institute (NHLBI), exist to support clinicians in providing adequate treatment. Utilization of and adherence with asthma guidelines improves patients' clinical care (4, 5). However, guideline adherence remains suboptimal. In the ED, early recognition and accurate assessment of the severity of airway obstruction and response to therapy are fundamental to the improvement of health for patients with asthma. The NHLBI guidelines emphasize early recognition and treatment of asthma exacerbations, as well as appropriate treatment stratified by severity.
Computer applications for patient care can address barriers to optimal medical care. Computer systems have improved the use and adherence to practice guidelines, provide clinical alerts and reminders, and generate patient-specific treatment recommendations and educational material. Implementation of guideline-driven decision support is frequently paper-based or computerized. In either form a major barrier remains on the busy clinicians to remember to initiate the guideline a process and to embed the guideline tasks in the clinical workflow of the care team (5). The proposed study examines the benefits of a novel approach for reminding clinicians in an ED setting to use guideline-driven care. The approach will apply a workflow-embedded process taking advantage of an advanced information technology infrastructure. The informatics approach will include two elements: a) a computerized, real-time reminder system, which will automatically detect guideline-eligible patients without requiring additional data entry, and b) a computerized, workflow-embedded guideline implementation.
References
1. Ref: QuickStats: Percentage of Children Aged \<18 years Who Have Ever Had Asthma Diagnosed, by Age Group --- United States, 2003; MMWR April 29, 2005 / 54(16);412. http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5416a5.htm
2. Allergy \& Asthma Advocate. Quarterly patient newsletter of the American Academy of Allergy, Asthma and immunology. 2004.
3. Grimshaw JM, Eccles MP, Walker AE, Thomas RE. Changing physicians' behavior: what works and thoughts on getting more things to work. J Contin Educ Health Prof. 2002;22:237-243.
4. National Heart, Lung, and Blood Institute, National Asthma Education and Prevention Program. Expert Panel Report 2: Guidelines for the diagnosis and management of asthma. 1997.
5. Scribano PV, Lerer T, Kennedy D, Cloutier MM. Provider adherence to a clinical practice guideline for acute asthma in a pediatric emergency department. Acad Emerg Med. 2001;8:1147-1152.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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A
If a patient is identified as having an asthma exacerbation by the Bayesian Network, the paper-based flow-chart will be printed out to place on the chart.
Paper-based asthma flow diagram
If a patient is identified as having an asthma exacerbation by the Bayesian Network, the patients will be randomized to either arm A or B. If in A, the paper-based flow-chart will be printed out to place on the chart.
B
If a patient is identified as having an asthma exacerbation by the Bayesian Network, and assigned to the control group, no flow-chart will be printed out.
No interventions assigned to this group
Interventions
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Paper-based asthma flow diagram
If a patient is identified as having an asthma exacerbation by the Bayesian Network, the patients will be randomized to either arm A or B. If in A, the paper-based flow-chart will be printed out to place on the chart.
Eligibility Criteria
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Inclusion Criteria
* Emergency Severity Index 2 to 5; AND
* Availability of completed computerized triage documentation.
Exclusion Criteria
* Patients who leave-without-being seen
* Patients who leave against-medical-advice
* Patients whose final diagnosis was not asthma (false positive identification by the detection system) or were determined not to be eligible for the guideline.
2 Years
18 Years
ALL
Yes
Sponsors
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Vanderbilt University Medical Center
OTHER
Responsible Party
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Principal Investigators
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Judith W Dexheimer, MS
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University
Dominik Aronsky, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University
Donald H Arnold, MD, MPH
Role: STUDY_CHAIR
Vanderbilt University
Locations
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Vanderbilt University
Nashville, Tennessee, United States
Countries
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References
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Dexheimer JW, Brown LE, Leegon J, Aronsky D. Comparing decision support methodologies for identifying asthma exacerbations. Stud Health Technol Inform. 2007;129(Pt 2):880-4.
Sanders DL, Aronsky D. Prospective evaluation of a Bayesian Network for detecting asthma exacerbations in a Pediatric Emergency Department. AMIA Annu Symp Proc. 2006;2006:1085.
Sanders DL, Aronsky D. Detecting asthma exacerbations in a pediatric emergency department using a Bayesian network. AMIA Annu Symp Proc. 2006;2006:684-8.
Sanders DL, Gregg W, Aronsky D. Identifying asthma exacerbations in a pediatric emergency department: a feasibility study. Int J Med Inform. 2007 Jul;76(7):557-64. doi: 10.1016/j.ijmedinf.2006.03.003. Epub 2006 May 2.
Other Identifiers
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070206
Identifier Type: -
Identifier Source: org_study_id
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