Patient Profiling and Provider Feedback to Reduce Adverse Drug Events
NCT ID: NCT00013143
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
1200 participants
INTERVENTIONAL
2001-06-30
2003-01-31
Brief Summary
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Detailed Description
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Adverse drug events (ADE) present a unique focus for error reduction. Computerized provider order entry, with embedded clinical decision support, has great promise in reducing medication errors but preventable adverse drug events may still occur despite such systems.
Objectives:
The purpose of the study was to evaluate whether adding medication profiling (by using a retrospective drug utilization review program) to computerized provider order entry with embedded order checks (drug alerts) reduces the incidence of adverse drug events.
Methods:
Medication profiles mainly focused on possible drug-drug and drug-disease interactions, with some drug duplications. To do the medication profiles we licensed a proprietary computerized retrospective drug utilization review system. We randomly assigned over 900 patients to Usual Care or Provider Feedback. For patients in the latter group, selected providers were contacted by letter with pertinent information; electronic mail was used for follow-up contact. Clinical and other relevant data was retrospectively abstracted from the medical records for up to one year from the last medication profile for all patients. This was done by a pharmacist reviewer, using a study-derived instrument, and blinded to patient assignment. ADE incidence is the primary outcome of interest, with other outcomes such as ADE severity and preventability also assessed. We also developed and implemented provider surveys in pre- and post-profiling periods.
Status:
Pre and post survey results published. Adjunct study on clinical actions as a result of drug alerts published. Main study (profiling): manuscript in proces.
Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
SINGLE
Study Groups
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Arm 1
Patient risk profiling (potential ADEs) w/provider feedback
Interventions
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Patient risk profiling (potential ADEs) w/provider feedback
Eligibility Criteria
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Inclusion Criteria
* patient must be currently active in GLA system
* medication for which alert was generated must be currently active
* patient provider must not be Peter Glassman
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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Peter A. Glassman, MBBS MSc
Role: PRINCIPAL_INVESTIGATOR
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Locations
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VA Greater Los Angeles Healthcare System, West Los Angeles, CA
West Los Angeles, California, United States
Countries
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References
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Glassman PA, Belperio P, Simon B, Lanto A, Lee M. Exposure to automated drug alerts over time: effects on clinicians' knowledge and perceptions. Med Care. 2006 Mar;44(3):250-6. doi: 10.1097/01.mlr.0000199849.08389.91.
Glassman PA, Simon B, Belperio P, Lanto A. Improving recognition of drug interactions: benefits and barriers to using automated drug alerts. Med Care. 2002 Dec;40(12):1161-71. doi: 10.1097/00005650-200212000-00004.
Glassman PA, Belperio P, Lanto A, Simon B, Valuck R, Sayers J, Lee M. The utility of adding retrospective medication profiling to computerized provider order entry in an ambulatory care population. J Am Med Inform Assoc. 2007 Jul-Aug;14(4):424-31. doi: 10.1197/jamia.M2313. Epub 2007 Apr 25.
Other Identifiers
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SAF 99-144
Identifier Type: -
Identifier Source: org_study_id
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