Specifying and Pilot Testing Quality Measures for the American Society of Addiction Medicine's Standards of Care.
Specifying and Pilot Testing Quality Measures for the American Society of Addiction Medicine's Standards of Care.
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DOI:
10.1097/adm.0000000000000203
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发表时间:
2016-05
影响因子:
5.5
通讯作者:
Thomas CP
中科院分区:
文献类型:
--
作者:
Harris AH;Weisner CM;Chalk M;Capoccia V;Chen C;Thomas CP
In 2013, American Society of Addiction Medicine (ASAM) approved their Standards of Care for the Addiction Specialist Physician. Subsequently, an ASAM Performance Measures Panel identified and prioritized the standards to be operationalized into performance measures. The goal of this paper is to describe the process of operationalizing three of these standards into quality measures, and to present the initial measure specifications and results of pilot testing these measures in a large health care system. By presenting the process rather than just the end results, we hope to shed light on the measure development process in order to educate, as well as stimulate debate about the decisions that were made. Each measure was decomposed into major concepts. Then each concept was operationalized using commonly available administrative data sources. Alternative specifications examined and sensitivity analyses were conducted to inform decisions that balanced accuracy, clinical nuance, and simplicity. Using data from the US Veterans Health Administration (VHA), overall performance and variation in performance across 119 VHA facilities were calculated. Three measures were operationalized and pilot tested: pharmacotherapy for alcohol use disorder, pharmacotherapy for opioid use disorder, and timely follow-up after medically managed withdrawal (aka detoxification). Each measure was calculable with available data, showed ample room for improvement (no ceiling effects) and wide facility-level variability. Next steps include conducting feasibility and pilot testing in other health care systems and other contexts such as standalone addiction treatment programs, as well as to study the specification and predictive validity of these measures.