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Using Clinical Alerts to Decrease Inappropriate Medication Prescribing

Using Clinical Alerts in a Computerized Provider Order Entry System to Decrease Inappropriate Medication Prescribing Among Hospitalized Elders

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01034761
Enrollment
719
Registered
2009-12-17
Start date
2013-04-30
Completion date
2013-06-30
Last updated
2015-03-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Elderly

Keywords

Electronic prescribing, Inappropriate medications, Patient safety, Elderly patients in the hospital

Brief summary

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.

Interventions

BEHAVIORALPop-up alert

Pop-up alert in the electronic medical record whenever the provider enters an order for a specified high risk medication from the Beers list.

Sponsors

Baystate Medical Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Hospitalized patients with Age \> 65

Exclusion criteria

* None

Design outcomes

Primary

MeasureTime frame
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

Secondary

MeasureTime frame
Restraint useEarlier of hospital stay or end of study
FallsEarlier of hospital stay or end of study
The average number of specified high risk medications prescribed per patient.Earlier of hospital stay or end of study
Total CostEarlier of hospital stay or end of study
Discharge status6 months
Length of stayEarlier of hospital stay or end of study

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026