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

NCT00818285 | Completed

• 1 other identifier: RFA06-1035-QC
• Study Type: interventional
• Target: 5,628
• Locations: 1 country
• Sites: 1

Brief 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

Outcome Measures

Primary Outcomes (1)

• rate of potentially inappropriate psychotropic medication

  September 2008-July 2010

Secondary Outcomes (1)

• Fall-related injury risk, fall related injuries, and hospitalizations.

  September 2008 - December 2011

Study Arms (2)

1

NO INTERVENTION

Physicians in this arm will be using the standard electronic prescription interface.

2

EXPERIMENTAL

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

Interventions

CDS for psychotropic drug management DEVICE

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.

2

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Older Adult (65+)

You may not qualify if:

• under 65 years old

Sponsors & Collaborators

• McGill University: lead
• Canadian Patient Safety Institute: collaborator

Study Sites (1)

McGill University

Montreal, Quebec, Canada

Location

Related Publications (1)

• Tamblyn R, Eguale T, Buckeridge DL, Huang A, Hanley J, Reidel K, Shi S, Winslade N. The effectiveness of a new generation of computerized drug alerts in reducing the risk of injury from drug side effects: a cluster randomized trial. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):635-43. doi: 10.1136/amiajnl-2011-000609. Epub 2012 Jan 12.

  PMID: 22246963 DERIVED

Study Officials

• Robyn M Tamblyn, PhD

  McGill University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: January 5, 2009
• First Posted: January 7, 2009
• Study Start: September 1, 2008
• Primary Completion: July 1, 2010
• Study Completion: August 1, 2012
• Last Updated: August 20, 2019

Record last verified: 2019-08

Locations

CA (1)