RTI International, 3040 E. Cornwallis Rd., PO Box 12194, 326 Cox Bldg, Research Triangle Park, 27709-2194, NC, USA.
Oregon Social Learning Center, Eugene, USA.
Prev Sci. 2023 Oct;24(Suppl 1):16-29. doi: 10.1007/s11121-022-01412-1. Epub 2022 Aug 17.
The Helping to End Addiction Long-Term (HEAL) Prevention Cooperative (HPC) is rapidly developing 10 distinct evidence-based interventions for implementation in a variety of settings to prevent opioid misuse and opioid use disorder. One HPC objective is to compare intervention impacts on opioid misuse initiation, escalation, severity, and disorder and identify whether any HPC interventions are more effective than others for types of individuals. It provides a rare opportunity to prospectively harmonize measures across distinct outcomes studies. This paper describes the needs, opportunities, strategies, and processes that were used to harmonize HPC data. They are illustrated with a strategy to measure opioid use that spans the spectrum of opioid use experiences (termed involvement) and is composed of common "anchor items" ranging from initiation to symptoms of opioid use disorder. The limitations and opportunities anticipated from this approach to data harmonization are reviewed. Lastly, implications for future research cooperatives and the broader HEAL data ecosystem are discussed.
帮助结束成瘾长期（HEAL）预防合作组织（HPC）正在迅速开发 10 种不同的基于证据的干预措施，以便在各种环境中实施，以预防阿片类药物滥用和阿片类药物使用障碍。HPC 的一个目标是比较干预措施对阿片类药物滥用开始、升级、严重程度和障碍的影响，并确定 HPC 的任何干预措施是否对某些类型的个体更有效。它为前瞻性地协调不同结果研究中的措施提供了一个难得的机会。本文介绍了协调 HPC 数据所需要的、机会、策略和流程。文中还介绍了一种测量阿片类药物使用的策略，该策略涵盖了阿片类药物使用经验的范围（称为“参与”），并由从开始到阿片类药物使用障碍症状的常见“锚定项目”组成。讨论了从这种数据协调方法中预期的限制和机会。最后，讨论了对未来研究合作组织和更广泛的 HEAL 数据生态系统的影响。
