Association of Fatal Overdose Notification Letters With Prescription of Benzodiazepines: Secondary Analysis of a Randomized Clinical Trial

How can a behavioral economics lens contribute to implementation science?

BACKGROUND

Implementation science in health is an interdisciplinary field with an emphasis on supporting behavior change required when clinicians and other actors implement evidence-based practices within organizational constraints. Behavioral economics has emerged in parallel and works towards developing realistic models of how humans behave and categorizes a wide range of features of choices that can influence behavior. We argue that implementation science can be enhanced by the incorporation of approaches from behavioral economics. Main body First, we provide a general overview of implementation science and ways in which implementation science has been limited to date. Second, we review principles of behavioral economics and describe how concepts from BE have been successfully applied to healthcare including nudges deployed in the electronic health record. For example, de-implementation of low-value prescribing has been supported by changing the default in the electronic health record. We then describe what a behavioral economics lens offers to existing implementation science theories, models and frameworks, including rich and realistic models of human behavior, additional research methods such as pre-mortems and behavioral design, and low-cost and scalable implementation strategies. We argue that insights from behavioral economics can guide the design of implementation strategies and the interpretation of implementation studies. Key objections to incorporating behavioral economics are addressed, including concerns about sustainment and at what level the strategies work.

CONCLUSION

Scholars should consider augmenting implementation science theories, models, and frameworks with relevant insights from behavioral economics. By drawing on these additional insights, implementation scientists have the potential to boost efforts to expand the provision and availability of high quality care.

A randomized trial looking at planning prompts to reduce opioid prescribing

Prior work has demonstrated that personalized letters are effective at reducing opioid and benzodiazepine prescribing, but it is unclear whether If/when-then planning prompts would enhance this effect. We conducted a decedent-clustered trial which randomized 541 clinicians in Los Angeles County to receive a standard (n = 284), or comparator (n = 257) version of a letter with If/when-then prompts. We found a significant 12.85% (6.83%, 18.49%) and 8.32% (2.34%, 13.93%) decrease in the primary outcomes morphine (MME) and diazepam milligram equivalents (DME), respectively. This study confirms the benefit of planning prompts, and repeat letter exposure among clinicians with poor patient outcomes. Limitations include lack of generalizability and small sample size. Clinicaltrials.gov registration: NCT03856593.