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Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record

机译：心力衰竭患者30天死亡率和再入院率的风险调整模型：从出院记录之外的医学图表中提取的临床数据的增量价值

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BackgroundHospital discharge records (HDRs) are routinely used to assess outcomes of care and to compare hospital performance for heart failure. The advantages of using clinical data from medical charts to improve risk-adjustment models remain controversial. The aim of the present study was to evaluate the additional contribution of clinical variables to HDR-based 30-day mortality and readmission models in patients with heart failure.

机译：背景医院出院记录（HDR）通常用于评估护理结果并比较心力衰竭的医院表现。使用医学图表中的临床数据来改善风险调整模型的优势仍然存在争议。本研究的目的是评估临床变量对心力衰竭患者基于HDR的30天死亡率和再入院模型的其他贡献。

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期刊名称 BMC Health Services Research
作者
Jacopo Lenzi; Vera Maria Avaldi; Tina Hernandez-Boussard; Carlo Descovich; Ilaria Castaldini; Stefano Urbinati; Giuseppe Di Pasquale; Paola Rucci; Maria Pia Fantini;
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作者单位

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年(卷),期 2016(16),1
年度 2016
页码 473
总页数 12
原文格式 PDF
正文语种
中图分类医院、综合医院;中医院;
关键词
Heart failure Risk-adjustment Mortality Readmissions;

机译：心力衰竭;风险调整;死亡率;再入院;

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专利

1. Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record [J] . Jacopo Lenzi, Vera Maria Avaldi, Tina Hernandez-Boussard, BMC Health Services Research . 2016,第1期

机译：心力衰竭患者30天死亡率和再入院率的风险调整模型：从出院记录之外的医学图表中提取的临床数据的增量价值
2. Multi-level models for heart failure patients’ 30-day mortality and readmission rates: the relation between patient and hospital factors in administrative data [J] . Afsaneh Roshanghalb, Cristina Mazzali, Emanuele Lettieri BMC Health Services Research . 2019,第1期

机译：心力衰竭患者30天死亡率和入院率的多级模型：行政数据患者和医院因素之间的关系
3. Unplanned Readmissions after Hospital Discharge among Heart Failure Patients At Risk for 30-Day Readmission Using an Administrative Dataset and “Off the Shelf” Readmission Models [J] . James F. Reed, Jonna L. Bokovoy, Keith R. Doram The Internet Journal of Cardiovascular Research . 2014,第1期

机译：使用管理数据集和“现成”的再入院模型，有心衰患者的30天再入院风险中的出院后计划外入院
4. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT [C] . KHADER SHAMEER, KIPP W JOHNSON, ALEXANDRE YAHI, Pacific Symposium on Biocomputing . 2017

机译：电子医疗纪录型机械学习医院入院率预测建模 - 以西奈山心力衰竭队列为例
5. Responses to Discharge Call Center Questions among Heart Failure Patients with 30-Day Hospital Readmission [D] . Thangaraju, Nalini . 2020

机译：30天医院入院的心力衰竭患者呼叫中心问题的回应
6. Multi-level models for heart failure patients’ 30-day mortality and readmission rates: the relation between patient and hospital factors in administrative data [O] . Afsaneh Roshanghalb, Cristina Mazzali, Emanuele Lettieri 2019

机译：心力衰竭患者30天死亡率和再入院率的多层次模型：行政数据中患者与医院因素之间的关系
7. Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record [O] . 2016

机译：心力衰竭患者30天死亡率和再入院率的风险调整模型：从出院记录之外的医学图表中提取的临床数据的增量价值

Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record

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