Wisdom Jennifer P, Ford Ii James H, Hayes Randy A, Edmundson Eldon, Hoffman Kim, McCarty Dennis
Department of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
J Behav Health Serv Res. 2006 Oct;33(4):394-407. doi: 10.1007/s11414-006-9039-x.
Addiction treatment agencies typically do not prioritize data collection, management, and analysis, and these agencies may have barriers to integrating data in agency quality improvement. This article describes qualitative findings from an intervention designed to teach 23 addiction treatment agencies how to make data-driven decisions to improve client access to and retention in care. Agencies demonstrated success adopting process improvement and data-driven strategies to make improvements in care. Barriers to adding a process improvement and data-driven focus to care included a lack of a data-based decision making culture, lack of expertise and other resources, treatment system complexity, and resistance. Factors related to the successful adoption of process-focused data include agency leadership valuing data and providing resources, staff training on data collection and use, sharing of change results, and success in making data-driven decisions.
成瘾治疗机构通常不会将数据收集、管理和分析作为优先事项,而且这些机构在将数据整合到机构质量改进方面可能存在障碍。本文介绍了一项干预措施的定性研究结果,该干预旨在教导23家成瘾治疗机构如何做出以数据为驱动的决策,以改善客户获得护理的机会和护理的持续性。各机构在采用流程改进和以数据为驱动的策略以改善护理方面取得了成功。在护理中增加流程改进和以数据为驱动的重点存在的障碍包括缺乏基于数据的决策文化、缺乏专业知识和其他资源、治疗系统复杂以及存在阻力。与成功采用以流程为重点的数据相关的因素包括机构领导层重视数据并提供资源、对员工进行数据收集和使用方面的培训、分享变革成果以及在做出以数据为驱动的决策方面取得成功。