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PRescribing Interventions for Chronic pain using the Electronic health record (PRINCE): Study protocol
David M Vock1, Hannah T Neprash2, Alexandra V Hanson3
1Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA.
The PRINCE study tested electronic health record (EHR) interventions to improve pain management. Behavioral nudges and integrated prescription drug monitoring programs (PDMPs) aimed to reduce opioid prescribing and encourage guideline-concordant care.
Area of Science:
- Health Services Research
- Clinical Informatics
- Behavioral Economics
Background:
- Primary care settings are central to pain management and opioid prescribing.
- Opioid prescribing practices require optimization to align with clinical guidelines.
Purpose of the Study:
- To evaluate two electronic health record (EHR)-embedded interventions designed to improve guideline-concordant pain treatment and opioid prescribing.
- To assess the impact of behavioral economics principles within the EHR on clinical decision-making for pain management.
Main Methods:
- A cluster-randomized 2x2 factorial design was employed across 43 primary care clinics.
- Interventions included altering EHR choice architecture to promote non-opioid alternatives and opioid tapering, and integrating prescription drug monitoring programs (PDMPs).
- An adaptive design allowed for secondary randomization to test intervention titration.
Main Results:
- The study assessed opioid prescribing for opioid-naïve patients and opioid tapering for current users as primary outcomes.
- Real-world evidence was gathered on the effectiveness of EHR-based strategies in primary care.
Conclusions:
- The PRINCE study provides crucial data on EHR-driven interventions for optimizing pain treatment and opioid prescribing.
- The adaptive design balances efficacy assessment with testing intervention intensity variations.
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