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

The recruitment status of this study is unknown. The completion date has passed and the status has not been verified in more than two years.
Verified April 2013 by McGill University.
Recruitment status was:  Recruiting
Canadian Patient Safety Institute
Information provided by (Responsible Party):
Robyn Tamblyn, McGill University Identifier:
First received: January 5, 2009
Last updated: April 25, 2013
Last verified: April 2013

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.

Condition Intervention
Fall Related Injury Risk
Device: CDS for psychotropic drug management

Study Type: Interventional
Study Design: Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single Blind (Subject)
Primary Purpose: Treatment
Official Title: Reducing Injuries From Medication-Related Falls by Generating Targeted Computerized Alerts for High Risk Patients Within an Electronic Prescribing System

Resource links provided by NLM:

Further study details as provided by McGill University:

Primary Outcome Measures:
  • rate of potentially inappropriate psychotropic medication [ Time Frame: September 2008-July 2010 ]

Secondary Outcome Measures:
  • Fall-related injury risk, fall related injuries, and hospitalizations. [ Time Frame: September 2008 - December 2011 ]

Estimated Enrollment: 4800
Study Start Date: September 2008
Estimated Study Completion Date: July 2014
Estimated Primary Completion Date: July 2014 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
No Intervention: 1
Physicians in this arm will be using the standard electronic prescription interface.
Experimental: 2
In addition to the standard electronic prescription module, physicians in this arm will receive targeted drugs alert and decision support for psychotropic drug management
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.

  Show Detailed Description


Ages Eligible for Study:   65 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No

Inclusion Criteria:

  • Physicians are eligible for inclusion if they are general practitioners or family physicians in full-time (≥ 4 days/week), fee-for-service practice in Quebec-patients where the study physician has written or dispensed psychotropic medications

Exclusion Criteria:

  • under 65 years old
  Contacts and Locations
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Please refer to this study by its identifier: NCT00818285

Canada, Quebec
McGill University
Montreal, Quebec, Canada
Sponsors and Collaborators
McGill University
Canadian Patient Safety Institute
Principal Investigator: Robyn M Tamblyn, PhD McGill University
  More Information

Publications automatically indexed to this study by Identifier (NCT Number):
Responsible Party: Robyn Tamblyn, Professor, McGill University Identifier: NCT00818285     History of Changes
Other Study ID Numbers: RFA06-1035-QC 
Study First Received: January 5, 2009
Last Updated: April 25, 2013

Additional relevant MeSH terms:
Wounds and Injuries
Psychotropic Drugs processed this record on February 20, 2017