Incorporating Acute Conditions into Risk-Adjustment for Provider Profiling: The Case of the US News and World Report Best Hospitals Rankings Methodology.

Bradley G Hammill, Molly N Hoffman, Amy G Clark, Jonathan G Bae, Richard P Shannon, Lesley H Curtis
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Abstract

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.

将急性病纳入医疗机构风险调整:美国新闻与世界报道》最佳医院排名方法案例。
几年前,《美国新闻与世界报道》改变了风险调整方法,现在几乎完全依赖慢性病来进行风险调整。本文报告了在其目前的风险模型("基础")中加入肺炎、败血症和电解质紊乱等特定急性病("增强")对四个专科--心内科、神经内科、肿瘤科和肺科--医院绩效估算的影响。在增强模型中,许多急性病都与巨大的死亡风险相关。与基础模型相比,所有专科的增强模型的区分度和校准性都有所提高。虽然 2 个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有意义地提高了这些模型的预测能力,并对医院绩效估计值产生了明显的影响。在对住院结果进行风险调整时,应始终纳入针对疾病严重程度的措施或条件,尤其是在以医疗服务提供者概况为目标的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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