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

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.

Lessons from five states: public sector use of the Washington Circle performance measures.

Five states (Connecticut, Massachusetts, New York, North Carolina, and Oklahoma) have incorporated the Washington Circle (WC) substance abuse performance measures in various ways into their quality improvement strategies. In this article, we focus on what other states and local providers might learn from these states' experiences as they consider using WC performance measures. Using a case study approach, we report that the use of WC measures differs across these five states, although there are important common themes required for adoption and sustainability of performance measures, which include leadership, evaluation of specification and use of measures over time, state-specific adaptation of the WC measure specifications, collaboration with consultants and partners, inclusion of WC measures in the context of other initiatives, reporting to providers and the public, and data and resource requirements. As additional states adopt some of the WC measures, or adopt other performance measurement approaches, these states' experiences could help them to develop implementations based on their particular needs.