Optimizing Electronic Health Record Prompts With Behavioral Economics to Improve Prescribing for Older Adults

Study Summary

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.

Primary Outcome

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

Conditions Studied

Interventions

• OTHER Order Entry
• OTHER Open Encounter
• OTHER Follow-up booster Alert
• OTHER Cold State outreach
• OTHER Simplified

Study Locations (1)