Department of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Department of Medicine, Duke University School of Medicine, Durham, NC.
Am J Med Qual. 2024;39(2):69-77. doi: 10.1097/JMQ.0000000000000171. Epub 2024 Feb 19.
Several years ago, the US News and World Report changed their risk-adjustment methodology, now relying almost exclusively on chronic conditions for risk adjustment. The impacts of adding selected acute conditions like pneumonia, sepsis, and electrolyte disorders ("augmented") to their current risk models ("base") for 4 specialties-cardiology, neurology, oncology, and pulmonology-on estimates of hospital performance are reported here. In the augmented models, many acute conditions were associated with substantial risks of mortality. Compared to the base models, the discrimination and calibration of the augmented models for all specialties were improved. While estimated hospital performance was highly correlated between the 2 models, the inclusion of acute conditions in risk-adjustment models meaningfully improved the predictive ability of those models and had noticeable effects on hospital performance estimates. Measures or conditions that address disease severity should always be included when risk-adjusting hospitalization outcomes, especially if the goal is provider profiling.
几年前,《美国新闻与世界报道》改变了他们的风险调整方法,现在几乎完全依赖于慢性病进行风险调整。本研究报告了将选定的急性病(如肺炎、败血症和电解质紊乱)添加到他们当前的风险模型(“基础模型”)中,对 4 个专业(心脏病学、神经病学、肿瘤学和肺病学)的医院绩效评估的影响。在增强模型中,许多急性病与死亡率的高风险相关。与基础模型相比,增强模型在所有专业中的区分度和校准度都得到了提高。虽然两种模型之间的医院绩效估计值高度相关,但在风险调整模型中纳入急性病显著提高了这些模型的预测能力,并对医院绩效评估产生了显著影响。在调整住院治疗结果的风险时,应始终包括能反映疾病严重程度的指标或情况,特别是如果目标是对服务提供者进行分类。