Prescribing of potentially unsafe medications for older adults is extremely common; benzodiazepines and sedative hypnotics are, for example, key drug classes frequently implicated in adverse health consequences for vulnerable older adults, such as confusion or sedation, leading to hospitalizations, falls, and fractures. Fortunately, most of these consequences are preventable. Physicians' lack of awareness of alternatives, ambiguous practice guidelines, and perceived pressure from patients or caregivers are among the reasons why these drugs are used more than might be optimal. Reducing inappropriate use of these drugs may be achieved through decision support tools for providers that are embedded in electronic health record (EHR) systems. While EHR strategies are widely used to support the informational needs of providers, these tools have demonstrated only modest effectiveness at improving prescribing. The effectiveness of these tools could be enhanced by leveraging principles of behavioral economics and related sciences.
This is a cluster randomized control trial (RCT) to evaluate whether newly designed EHR-based tools designed using behavioral principles reduce inappropriate prescribing and adverse outcomes among older adults. This study will be conducted in outpatient primary care practices at Mass General Brigham (MGB), specifically Massachusetts General Hospital. MGB has a fully functional EHR, EpicCare, that supports computerized ordering of medications. MGB is comprised of 150 outpatient practices with over 1,800 physicians. In this trial, approximately 190 primary care providers at MGH will be randomized to receive usual care or an active intervention. Providers randomized to one of the 2 selected treatment arms will receive an EHR tool to guide their care of eligible patients. They will be followed for 12 months. Providers randomized to usual care will receive no newly-designed EHR tool. Providers will receive these EHR tools for their patients who meet the following criteria: 1) older adults (aged 65 years or more), and 2) who have been prescribed at least 90 pills of benzodiazepine or sedative hypnotic or have been prescribed at least one active orders of at least 90 pills of two different anticholinergics in the last 180 days.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
201
Once the order entry or open encounter alert displays, the provider will have the option to schedule a follow-up message that will be sent 4 weeks after the alert is triggered
A two-staged pre-commitment electronic health record alert will be used. In the 1st alert, the providers will be prompted to discuss risks of these high-risk medications and share a handout about the risks with their patients, at their own discretion. The second alert will be either an order entry or open encounter alert, depending on the arm the provider is assigned to.
An enhanced alert (known as a Best Practice Advisory \[BPA\]) will appear on the provider's electronic health record screen and will contain several standard components such as information about why the medication is dangerous for their patient and an order set that will allow providers to order a gradual dose taper for their patient, order alternative medications, place a referral to a behavioral health specialist, provide instructions on how to make lifestyle modifications to improve patient symptoms, and add patient instructions for how to gradually taper off benzodiazepines and sedative hypnotics, as applicable.
Mass General Brigham
Boston, Massachusetts, United States
Change in Inappropriate Prescribing
This outcome is measured as a composite of 1) discontinuation of study high-risk medications (i.e., active discontinuation or lack of an order during follow-up) or 2) ordering a dose taper (for benzodiazepine or sedative hypnotics) using EHR data by the primary care provider included in the study arm. If any of these actions occurred by the primary care provider, then the patient was considered to have had a change in prescribing (i.e., a reduction in inappropriate prescribing). This outcome was measured as a binary outcome.
Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant
Quantity of High-risk Medication Prescribed
This outcome is measured on the patient level as the number of pills of high-risk medications prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.
Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant
Cumulative Lorazepam Milligram Equivalents Prescribed
This outcome is measured on the patient level as the number of lorazepam milligram equivalents of benzodiazepine and sedative hypnotic ("Z-drug") prescribed to patients by providers over the follow-up, measured within the EHR system. This outcome was measured as a continuous outcome.
Time frame: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant
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