Computerized Guidelines Enhanced by Symptoms and History: Clinical Effects
NCT ID: NCT00013039
Last Updated: 2015-04-07
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
1000 participants
INTERVENTIONAL
2001-02-28
Brief Summary
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Detailed Description
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Physician compliance with practice guidelines is imperfect. Computer-generated reminders from electronic medical record systems have been shown to increase compliance with guidelines, but they often require symptom and history data, which limits computer facilitation. Heart failure is a serious condition for which compliance with established guidelines is suboptimal. Physicians� compliance with heart failure guidelines may improve if such reminders use symptom and history data.
Objectives:
1\) Program standard computer-based guidelines for heart failure using data from the electronic medical record systems at the Indianapolis and Seattle VAMCs. 2) Establish a system for capturing data on symptoms and history from heart failure patients before scheduled primary care visits. 3) Incorporate these data into enhanced computer reminders. 4) Conduct a randomized, controlled trial comparing these two types of reminders� effects on physician prescribing, patient objective and subjective outcomes, and health care utilization.
Methods:
This controlled trial targets patients with objective evidence of left ventricular dysfunction on cardiac imaging studies and a current outpatient diagnosis of heart failure. Primary care physicians in the Indianapolis and Seattle VAMCs have been randomized to receive either standard heart failure treatment reminders or reminders enhanced by history/symptom data. Study data come from the VAMCs electronic medical record systems (i.e., clinical data, utilization, and costs) and patient interviews (heart failure symptoms and medication compliance, heart failure-specific quality of life, and patients� satisfaction with their primary care). Data analysis will be performed at the patient level using general estimating equations to account for patient and physician characteristics and clustering of patients within physicians.
Status:
Data Collection: Enrollment has been completed, with 503 patients enrolled from the Roudebush VAMC in Indianapolis and 250 from the VA Puget Sound Health Care System in Seattle. The trial continues without irregularities in both places. More than 80 percent of eligible patients were enrolled from both sites. Subjective data are being collected prior to scheduled visits on more than 95 percent of enrolled subjects.
Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
NONE
Study Groups
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Arm 1
Computer reminders
Interventions
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Computer reminders
Eligibility Criteria
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Inclusion Criteria
18 Years
ALL
No
Sponsors
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US Department of Veterans Affairs
FED
Responsible Party
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Principal Investigators
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William M. Tierney, MD
Role: PRINCIPAL_INVESTIGATOR
Richard L. Roudebush VA Medical Center, Indianapolis, IN
Stephan D. Fihn, MD MPH
Role: PRINCIPAL_INVESTIGATOR
VA Puget Sound Health Care System Seattle Division, Seattle, WA
Locations
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Richard L. Roudebush VA Medical Center, Indianapolis, IN
Indianapolis, Indiana, United States
Durham VA Medical Center, Durham, NC
Durham, North Carolina, United States
VA Puget Sound Health Care System Seattle Division, Seattle, WA
Seattle, Washington, United States
Countries
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References
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Subramanian U, Fihn SD, Weinberger M, Plue L, Smith FE, Udris EM, McDonell MB, Eckert GJ, Temkit M, Zhou XH, Chen L, Tierney WM. A controlled trial of including symptom data in computer-based care suggestions for managing patients with chronic heart failure. Am J Med. 2004 Mar 15;116(6):375-84. doi: 10.1016/j.amjmed.2003.11.021.
Udris EM, Au DH, McDonell MB, Chen L, Martin DC, Tierney WM, Fihn SD. Comparing methods to identify general internal medicine clinic patients with chronic heart failure. Am Heart J. 2001 Dec;142(6):1003-9. doi: 10.1067/mhj.2001.119130.
Other Identifiers
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CPG 97-001
Identifier Type: -
Identifier Source: org_study_id
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