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多层次质量指标:方法和蒙特卡洛证据
Martin Roessler1, Claudia Schulte, Uwe Repschläger
1BARMER Institute for Health Care System Research, Berlin, Germany.
Medical care
|November 14, 2023
概括
多层次质量指标 (MQI) 提供了改善的医疗保健提供者和区域绩效评估. 这种新方法比传统方法提供了更准确,更稳定的质量估计.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 生物统计学 生物统计学
- 卫生政策分析 卫生政策分析
背景情况:
- 医疗保健提供者的既定质量指标面临着因间接标准化和高估计器差异造成的扭曲.
- 现有的方法很少在质量指标开发中考虑地理区域.
- 需要强有力的质量指标,适用于提供商和地区.
研究的目的:
- 开发和评估多层次质量指标 (MQI) 的新方法.
- 为医疗保健提供者和地理区域提供准确的质量评估.
- 为了解决当前质量指标方法的局限性.
主要方法:
- 从一个统计多层次模型中正式推导MQI,该模型包含患者,提供者和区域特征.
- 蒙特卡洛模拟将MQI性能与标准化死亡率/发病率 (SMR) 和风险标准化死亡率 (RSMR) 进行比较.
- 评估指标包括排名相关性和最高/最低表现的提供商的识别.
主要成果:
- 引入了三个MQI:标准化医院结果率 (SHOR),区域SHOR和区域标准化患者结果率.
- 在大多数场景中,SHOR在SMR和RSMR相比显示出优越的提供商绩效估计.
- 区域标准化患者结局率显示比区域SMR稳定性更高;区域特征改善了提供者级估计.
结论:
- 根据MQI方法,为医疗保健提供者和地理区域提供充分和有效的质量指标估计.
- 医疗质量指标为医疗保健质量评估提供了更强大的方法.
- 这种方法提高了不同级别质量比较的可靠性.
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