应用"积极预测值回忆图"来监测性能,并为查放射科医生提供建议
Tanya D Geertse1, Eric Tetteroo2,3, Maartje J A Smid-Geirnaerdt2
1Dutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands. tanya.geertse@radboudumc.nl.
积极预测值 (PPV) 召回图可以帮助审计团队识别乳腺癌查表现的变化. 虽然建议往往改善了回忆率,但可能需要进一步的个人放射科医生反以获得最佳结果.
科学领域:
- 放射学和成像学
- 医疗保健中的质量保证
- 生物统计学
背景情况:
- 在乳腺癌查中监测放射科医生的表现对于优化检测率和最大限度地减少错误阳性是至关重要的.
- 性能指标的变化,如召回率 (RR),癌症检测率 (CDR) 和正预测值 (PPV),需要有效的质量保证工具.
- 现有的方法可能无法完全捕捉不同读取单位 (RU) 中这些关键绩效指标之间的相互关系.
研究的目的:
- 评估积极预测值 (PPV) -回忆图的实用性,以监测和指导铁路企业在国家乳腺癌查计划中的绩效改进.
- 评估PPV召回图的适用性,以识别随着时间的推移和不同铁路企业之间的查性能变化.
- 通过PPV回忆图来确定审计建议对铁路企业业绩的影响.
主要方法:
- 荷兰乳腺癌查计划 (2010-2019) 三年质量保证审计数据的回顾性分析.
- 在12个铁路企业的初始和后续查中,使用召回率,癌症检测率和PPV构建了PPV召回图.
- 用于跟踪业绩变化并为调整召回率提供审计建议的铁路企业特定图表.
主要成果:
- 观察到 RU 性能的显著变化,PPV 范围很大 (初始查为 4. 9 - 23. 7%,后续查为 21. 2 - 54. 3%).
- 与随后的查相比,初始查的目标值较少达到,导致初始查调整的建议更多.
- 调整召回率的建议经常导致所需的方向变化 (17/24例),但并不总是达到目标值.
结论:
- 对铁路企业的查结果的变化和相互关系提供了宝贵的见解.
- 这些图表有助于审计团队制定有针对性的建议,以提高乳腺癌查效率.
- 仅从PPV回忆图中获得的反可能需要补充个人放射学家的反以获得最佳的性能提升.
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