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Reducing Injuries From Medication-Related Falls Using Computerized Alerts for High Risk Patients

NCT00818285 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 5628

Last updated 2019-08-20

No results posted yet for this study

Summary

Drug-related illness accounts for 5% to 23% of hospital admissions, and is now claimed to be the sixth leading cause of mortality. Older adults are at higher risk of adverse drug-related events, and medication-related fall injuries are the most common adverse event that could be potentially prevented. There are 1.2 million falls per year among Canadian elderly, at a cost of $2.4 billion in health care services, and substantial risk of loss of independence.

The overall purpose of this research program is to reduce medication-related fall injuries by using computerized electronic prescribing and drug management systems to identify high risk patients and provide physicians with patient-specific recommendations for modifying psychotropic medication use to reduce this risk.

Conditions

  • Fall Related Injury Risk

Interventions

DEVICE

CDS for psychotropic drug management

Computerized decision support (CDS) for patients with available supplies of psychotropic medications. The decision support will consist of a screen displaying to the physician the patient's current risk of falling as well as what their risk could be lowered to with modifications to medications.

Sponsors & Collaborators

Principal Investigators

  • Robyn M Tamblyn, PhD · McGill University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-09-30
Primary Completion
2010-07-31
Completion
2012-08-31

Countries

  • Canada

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00818285 on ClinicalTrials.gov