Reducing Injuries From Medication-Related Falls Using Computerized Alerts for High Risk Patients
Recruitment status was: Recruiting
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.
|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|
- rate of potentially inappropriate psychotropic medication [ Time Frame: September 2008-July 2010 ]
- Fall-related injury risk, fall related injuries, and hospitalizations. [ Time Frame: September 2008 - December 2011 ]
|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)|
No Intervention: 1
Physicians in this arm will be using the standard electronic prescription interface.
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.
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Please refer to this study by its ClinicalTrials.gov identifier: NCT00818285
|Contact: Robyn Tamblyn, PhD||514-934-1934 ext firstname.lastname@example.org|
|Montreal, Quebec, Canada|
|Contact: Robyn Tamblyn, PhD 514-934-1934 ext 32999 email@example.com|
|Principal Investigator:||Robyn M Tamblyn, PhD||McGill University|