- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00013143
Patient Profiling and Provider Feedback to Reduce Adverse Drug Events
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Background:
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.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
West Los Angeles, California, United States, 90073
- VA Greater Los Angeles Healthcare System, West Los Angeles, CA
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- patient must be alive
- 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
Exclusion Criteria:
Study Plan
How is the study designed?
Design Details
- Allocation: Randomized
- Interventional Model: Single Group Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Arm 1
|
Collaborators and Investigators
Investigators
- Principal Investigator: Peter A. Glassman, MBBS MSc, VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Publications and helpful links
General Publications
- 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. Erratum In: Med Care. 2007 Sep;45(9):912.
- 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.
Study record dates
Study Major Dates
Study Start
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- SAF 99-144
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