ArticleAnesthesiology open2026
An Honest Broker System for Secure Linkage of Opioid-related Clinical, Prescription, and Outcomes Data.
Article in Anesthesiology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Integrating patient-reported outcomes and clinical data with external sources such as Prescription Drug Monitoring Programs (PDMPs) enables comprehensive evaluation of opioid prescribing and outcomes. The authors describe the implementation of a secure, honest broker system by the Overdose Prevention Engagement Network to link state-wide registry data with Michigan's PDMP. A trusted intermediary facilitated linkage via a process approved by the institutional review board. Merged data were encrypted and coded without personal identifiers before being released to investigators, ensuring patient privacy and compliance with the Health Insurance Portability and Accountability Act. The linkage process excluded only 0.7 to 2.0% of patient records, demonstrating high performance. Since implementation, 11 peer-reviewed publications have used the linked datasets to advance opioid stewardship research. This novel, privacy-preserving framework provides a scalable and replicable model for diverse cross-system data integration while maintaining patient confidentiality.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.