Elderly Clinical Trial
Official title:
Using Clinical Alerts in a Computerized Provider Order Entry System to Decrease Inappropriate Medication Prescribing Among Hospitalized Elders
Verified date | March 2015 |
Source | Baystate Medical Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | United States: Institutional Review Board |
Study type | Interventional |
Introduction:
The Beers list identifies medications that should be avoided in persons 65 years or older
because they are ineffective, pose an unnecessarily high risk, or a safer alternative is
available. In a recent study, we found a high rate of prescribing of Beers list medications
to hospitalized patients. At Baystate, 41% of medical patients received at least one Beers
list drug classified as "high severity," meaning it carried a high risk for an adverse drug
reaction, while 5% received 3 or more. Some Beers drugs have been associated with delirium
and falls. When compared to Baystate patients who did not receive a high severity
medication, those who did had an increased risk of mortality (7.8% vs. 5.2%), longer length
of stay (5.5 days vs. 3.9 days) and higher costs ($11,240 vs. 6243).
Specific Aims:
1. Quantify the impact of synchronous electronic alerts on physician prescribing of
high-severity Beers' list drugs to hospitalized patients over the age of 65 years.
2. Compare physician reactions to each drug-specific alert
Project Description:
We will develop a series of clinical alerts in CIS, Baystate's computerized provider order
entry system, to reduce the use of potentially inappropriate medications among hospitalized
elders. We will randomize providers to electronic alerts or usual care. Whenever a provider
randomized to alerts attempts to place an order for a high-risk medication on the Beers list
and the intended recipient is over 65 years of age, a synchronous alert (i.e. a "pop-up")
will inform the physician about the risks associated with the medication and will propose
safer alternatives.
We will collect data on physician ordering and patient outcomes comparing the number of
Beers list prescriptions from providers receiving electronic alerts to those not receiving
alerts. Our anticipated outcome is a decrease in inappropriate prescribing during the period
when the electronic alerts are activated. Other potential outcomes include decrease in
length of stay and a decrease in falls.
Status | Completed |
Enrollment | 719 |
Est. completion date | June 2013 |
Est. primary completion date | June 2013 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 65 Years and older |
Eligibility |
Inclusion Criteria: - Hospitalized patients with Age > 65 Exclusion Criteria: |
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Prevention
Country | Name | City | State |
---|---|---|---|
United States | Baystate Medical Center | Springfield | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Baystate Medical Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The percentage of elderly patients who receive a specified high-risk medication from the Beer's list. | Earlier of hospital stay or end of study | Yes | |
Secondary | The average number of specified high risk medications prescribed per patient. | Earlier of hospital stay or end of study | Yes | |
Secondary | Restraint use | Earlier of hospital stay or end of study | Yes | |
Secondary | Falls | Earlier of hospital stay or end of study | Yes | |
Secondary | Length of stay | Earlier of hospital stay or end of study | No | |
Secondary | Total Cost | Earlier of hospital stay or end of study | No | |
Secondary | Discharge status | 6 months | No |
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