Benchmarking the American Society of Breast Surgeon Member Performance for More Than a Million Quality Measure-Patient Encounters

Annals of surgical oncology(2017)

引用 9|浏览39
暂无评分
摘要
Background Nine breast cancer quality measures (QM) were selected by the American Society of Breast Surgeons (ASBrS) for the Centers for Medicare and Medicaid Services (CMS) Quality Payment Programs (QPP) and other performance improvement programs. We report member performance. Study Design Surgeons entered QM data into an electronic registry. For each QM, aggregate “performance met” (PM) was reported (median, range and percentiles) and benchmarks (target goals) were calculated by CMS methodology, specifically, the Achievable Benchmark of Care™ (ABC) method. Results A total of 1,286,011 QM encounters were captured from 2011–2015. For 7 QM, first and last PM rates were as follows: (1) needle biopsy (95.8, 98.5%), (2) specimen imaging (97.9, 98.8%), (3) specimen orientation (98.5, 98.3%), (4) sentinel node use (95.1, 93.4%), (5) antibiotic selection (98.0, 99.4%), (6) antibiotic duration (99.0, 99.8%), and (7) no surgical site infection (98.8, 98.9%); all p values < 0.001 for trends. Variability and reasons for noncompliance by surgeon for each QM were identified. The CMS-calculated target goals (ABC™ benchmarks) for PM for 6 QM were 100%, suggesting that not meeting performance is a “never should occur” event. Conclusions Surgeons self-reported a large number of specialty-specific patient-measure encounters into a registry for self-assessment and participation in QPP. Despite high levels of performance demonstrated initially in 2011 with minimal subsequent change, the ASBrS concluded “perfect” performance was not a realistic goal for QPP. Thus, after review of our normative performance data, the ASBrS recommended different benchmarks than CMS for each QM.
更多
查看译文
关键词
American Society Of Breast Surgeons (ASBrS),Member Performance,Quality Payment Program (QPP),Specimen Orientation (SO),Achievable Benchmarks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要