Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
VA Connecticut Healthcare System, 950 Campbell Avenue, Mail Stop 151B, West Haven, CT, 06516, USA.
Addict Sci Clin Pract. 2021 Jan 4;16(1):1. doi: 10.1186/s13722-020-00211-9.
Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut.
A multidisciplinary team of university, state and federal agency experts planned steps to build the data analytic system: stakeholder engagement, articulation of metrics, funding to establish the system, determination of needed data, accessing data and merging, and matching patient-level data.
Stakeholder meetings occurred over a 6-month period driving selection of metrics and funding was obtained through a grant from the Food and Drug Administration. Through multi-stakeholder collaborations and memoranda of understanding, we identified relevant data sources, merged them and matched individuals across the merged dataset. The dataset contains information on sociodemographics, treatments and outcomes. Step-by-step processes are presented for dissemination.
Creation of a unified database linking multiple sources in a timely and ongoing fashion may assist other states to monitor the public health impact of controlled substances, identify and implement interventions, and assess their effectiveness.
描述从康涅狄格州不同州立机构的数据集中编译统一数据库的方法，这些数据集中包含有关受控物质处方、过量用药和阿片类药物使用障碍治疗的个人层面数据。
一个由大学、州和联邦机构专家组成的多学科团队计划了构建数据分析系统的步骤：利益相关者参与、制定指标、为系统建立提供资金、确定所需数据、获取数据并进行合并以及匹配患者层面的数据。
利益相关者会议持续了 6 个月，推动了指标的选择，资金通过食品和药物管理局的一项拨款获得。通过多利益相关者合作和谅解备忘录，我们确定了相关数据源，对其进行了合并，并在合并后的数据集内匹配了个体。该数据集包含社会人口统计学、治疗和结果信息。逐步介绍了传播过程。
及时且持续地创建一个链接多个来源的统一数据库，可能有助于其他州监测受控物质对公共健康的影响，识别和实施干预措施，并评估其效果。
