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Improving substance abuse data systems to measure 'waiting time to treatment': Lessons learned from a quality improvement initiative

机译:改进药物滥用数据系统以衡量“等待治疗的时间”:从质量改进计划中学到的经验教训

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摘要

Robust data measurement systems assess health care performance and monitor population-level treatment trends. A key challenge in the assessment of substance abuse treatment is the development of systems to accurately monitor service delivery indicators. Wait time to treatment, as defined by the days between first request for service and first treatment, is an important measure of organizational process and delivery of care. The Network for the Improvement of Addiction Treatment emphasizes wait time as a primary outcome in their study of 201 addiction treatment agencies in the USA. This article describes the changes made in five state data systems to monitor wait times and outlines lessons learned that could be applied to other health data tracking systems.
机译:健壮的数据测量系统可评估医疗保健绩效并监测人群水平的治疗趋势。评估药物滥用治疗的一个关键挑战是开发能够准确监控服务提供指标的系统。首次服务请求和首次治疗之间的时间定义的等待治疗时间是衡量组织过程和提供护理的重要指标。改善成瘾治疗网络在他们对美国201个成瘾治疗机构的研究中强调等待时间是主要结果。本文介绍了五个状态数据系统中的更改以监视等待时间,并概述了可应用于其他健康数据跟踪系统的经验教训。

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