通过Elixhauser测量纳入目前入院指标预测住院死亡率:一项医疗保险数据分析。

IF 2.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jianfang Liu, Ani Bilazarian, Madeline M Pollifrone, Sunmoo Yoon, Rachel Siegel, Lusine Poghosyan
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引用次数: 0

摘要

背景:2021年,卫生保健研究和质量机构(AHRQ)更新了在Elixhauser合并症指数中使用入院时(POA)指标的指南。这一更新有助于区分先前存在的合并症和入院后出现的并发症,提高医院绩效评估的有效性,并更准确地衡量患者入院时的疾病严重程度。目的:评估3种合并症编码指南(包括忽略POA指标的指南)下合并症患病率和Elixhauser合并症指数对入院住院死亡率的预测性能的差异。研究设计:对医疗保险受益人住院管理数据进行回顾性分析。研究对象:数据集包括2017年至2019年美国6个州的1,810,106名成年医疗保险住院患者。方法:采用弹性网络模型预测院内死亡率,采用3种方法编码合并症:(1)No-POA(包括所有入院合并症),(2)Full-POA(仅包括POA合并症),以及(3)2021 AHRQ Partial-POA(将POA应用于疾病子集以编码合并症)。结果:No-POA、full-POA和2021 AHRQ部分poa指南的c统计量分别为0.800(0.797-0.804)、0.768(0.763-0.771)和0.786(0.781-0.790)。结论:误将并发症分类为住院合并症,忽略了POA充气模型的性能。2021部分poa指南实现了中间c统计,同时通过准确测量入院时的疾病严重程度来确保内部有效性。这有助于改进医院评估、护理质量、资源分配、量身定制的干预和报销。弹性网络模型显示了作为预测院内死亡率与Elixhauser合并症措施的标准的希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporating the Present-on-Admission Indicator to Predict In-hospital Mortality Through Elixhauser Measures: A Medicare Data Analysis.

Background: In 2021, the Agency for Health Care Research and Quality (AHRQ) updated its guidelines for using the Present-on-Admission (POA) indicator in the Elixhauser comorbidity index. This update helps distinguish pre-existing comorbidities from complications that arise after hospital admission, improving the validity of hospital performance assessments and more accurately measuring patients' severity of illness upon admission.

Objective: To evaluate differences in comorbidity prevalence and the predictive performance of the Elixhauser Comorbidity Index for in-hospital mortality at admission under 3 comorbidity coding guidelines, including one that ignores the POA indicator.

Research design: A retrospective analysis of inpatient administrative data on Medicare beneficiaries.

Subjects: The dataset included 1,810,106 adult Medicare inpatient admissions across 6 U.S. states between 2017 and 2019.

Methods: Elastic net models were applied to predict in-hospital mortality using 3 approaches to coding comorbidities: (1) No-POA (including all conditions as admission comorbidities), (2) Full-POA (including only POA conditions as comorbidities), and (3) the 2021 AHRQ Partial-POA (applying POA to a subset of conditions to code comorbidities). Results: C-statistics were 0.800 (0.797-0.804), 0.768 (0.763-0.771), and 0.786 (0.781-0.790) for No-POA, full-POA, and 2021 AHRQ partial-POA guidelines, respectively.

Conclusion: Ignoring the POA inflated model performance by misclassifying complications as admission comorbidities. The 2021 Partial-POA guidelines achieved intermediate C-statistics while ensuring internal validity by accurately measuring illness severity at admission. This supports improved hospital evaluations, care quality, resource allocation, tailored intervention, and reimbursement. The elastic net model shows promise as a standard for predicting in-hospital mortality with the Elixhauser comorbidity measure.

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来源期刊
Medical Care
Medical Care 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.20
自引率
3.30%
发文量
228
审稿时长
3-8 weeks
期刊介绍: Rated as one of the top ten journals in healthcare administration, Medical Care is devoted to all aspects of the administration and delivery of healthcare. This scholarly journal publishes original, peer-reviewed papers documenting the most current developments in the rapidly changing field of healthcare. This timely journal reports on the findings of original investigations into issues related to the research, planning, organization, financing, provision, and evaluation of health services.
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