Patient Profiling and Provider Feedback to Reduce Adverse Drug Events

NCT ID: NCT00013143

Last Updated: 2015-04-07

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

1200 participants

Study Classification

INTERVENTIONAL

Study Start Date

2001-06-30

Study Completion Date

2003-01-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Adverse Drug Events

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

SINGLE_GROUP

Blinding Strategy

SINGLE

Study Groups

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Arm 1

Group Type OTHER

Patient risk profiling (potential ADEs) w/provider feedback

Intervention Type BEHAVIORAL

Interventions

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Patient risk profiling (potential ADEs) w/provider feedback

Intervention Type BEHAVIORAL

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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US Department of Veterans Affairs

FED

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status

Countries

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United States

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.

Reference Type RESULT
PMID: 16501396 (View on PubMed)

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.

Reference Type RESULT
PMID: 12458299 (View on PubMed)

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.

Reference Type RESULT
PMID: 17460134 (View on PubMed)

Other Identifiers

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SAF 99-144

Identifier Type: -

Identifier Source: org_study_id

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