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

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ClinicalTrials.gov Identifier: NCT00818285
Recruitment Status : Recruiting
First Posted : January 7, 2009
Last Update Posted : March 23, 2017
Sponsor:
Collaborator:
Canadian Patient Safety Institute
Information provided by (Responsible Party):
Robyn Tamblyn, McGill University

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.


Condition or disease Intervention/treatment Phase
Fall Related Injury Risk Device: CDS for psychotropic drug management Not Applicable

  Show Detailed Description

Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 4800 participants
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single (Participant)
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
Study Start Date : September 2008
Estimated Primary Completion Date : July 2019
Estimated Study Completion Date : July 2019

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Falls
U.S. FDA Resources

Arm Intervention/treatment
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.



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

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


Information from the National Library of Medicine

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

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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00818285


Contacts
Contact: Robyn Tamblyn, PhD 514-934-1934 ext 32999 robyn.tamblyn@mcgill.ca

Locations
Canada, Quebec
McGill University Recruiting
Montreal, Quebec, Canada
Contact: Robyn Tamblyn, PhD    514-934-1934 ext 32999    robyn.tamblyn@mcgill.ca   
Sponsors and Collaborators
McGill University
Canadian Patient Safety Institute
Investigators
Principal Investigator: Robyn M Tamblyn, PhD McGill University

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: Robyn Tamblyn, Professor, McGill University
ClinicalTrials.gov Identifier: NCT00818285     History of Changes
Other Study ID Numbers: RFA06-1035-QC
First Posted: January 7, 2009    Key Record Dates
Last Update Posted: March 23, 2017
Last Verified: March 2017
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Undecided

Additional relevant MeSH terms:
Wounds and Injuries
Psychotropic Drugs