Comparison of methods to identify individuals prescribed opioid analgesics for pain
Authors' conclusion
This analysis found that identifying opioid prescriptions using methods from CDC and OPEN were similar and superior to prespecified database-specific categories.
Study context
- Population
- Opioid prescriptions in MarketScan, Optum and Medicare claims databases3 claims databases
- Exposure
- Database-specific vs CDC vs Overdose Prevention Engagement Network (OPEN)
- Outcome
- Discrimination by AUC
Main finding
As reported in the abstract
Discrimination (AUC)
All methods had high discrimination
AUC>0.99
Observational data: associations, not effects.
Secondary outcomes
Opioid prescriptions not identified, MarketScan (n=70,162,157)
Opioid prescriptions not identified, Optum (n=61,554,852)
| Outcome | Database-specific | CDC | OPEN |
|---|---|---|---|
| Opioid prescriptions not identified, Medicare (n=92,781,299) | — not stated in the abstract | 0.01% | 0% |
— not stated in the abstract
Original publication
Comparison of methods to identify individuals prescribed opioid analgesics for pain. Reg Anesth Pain Med. Published 25 January 2024. doi:10. 1136/ rapm-2023-105164
Composed by AI from the published abstract and checked against it. How Briefs are made →