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.
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Change in Inappropriate Prescribing by Study Arm: Descriptive Comparison Across Study Arms
Timeframe: 22 months (2 stages)
Change in Inappropriate Prescribing by the Seven Behavioral Intervention Factors (Open Encounter Timing, Boostering, Cold-state Priming, Simplification, Sign-off Approval, Pre-commitment, and Risk Framing): Primary Analysis Approach
Timeframe: 22 months (2 stages)