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Cost of hospital care for older adults with heart failure: medical, pharmaceutical, and nursing costs.

机译:患有心力衰竭的老年人的住院治疗费用:医疗,药物和护理费用。

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OBJECTIVE: To determine the impact of patient characteristics, clinical conditions, hospital unit characteristics, and health care interventions on hospital cost of patients with heart failure. DATA SOURCES/STUDY SETTING: Data for this study were part of a larger study that used electronic clinical data repositories from an 843-bed, academic medical center in the Midwest. STUDY DESIGN: This retrospective, exploratory study used existing administrative and clinical data from 1,435 hospitalizations of 1,075 patients 60 years of age or older. A cost model was tested using generalized estimating equations (GEE) analysis. DATA COLLECTION/EXTRACTION METHODS: Electronic databases used in this study were the medical record abstract, the financial data repository, the pharmacy repository; and the Nursing Information System repository. Data repositories were merged at the patient level into a relational database and housed on an SQL server. PRINCIPAL FINDINGS: The model accounted for 88 percent of the variability in hospital costs for heart failure patients 60 years of age and older. The majority of variables that were associated with hospital cost were provider interventions. Each medical procedure increased cost by Dollars 623, each unique medication increased cost by Dollars 179, and the addition of each nursing intervention increased cost by Dollars 289. One medication and several nursing interventions were associated with lower cost. Nurse staffing below the average and residing on 2-4 units increased hospital cost. CONCLUSIONS: The model and data analysis techniques used here provide an innovative and useful methodology to describe and quantify significant health care processes and their impact on cost per hospitalization. The findings indicate the importance of conducting research using existing clinical data in health care.
机译:目的:确定患者特征,临床状况,医院单位特征和医疗干预措施对心力衰竭患者住院费用的影响。数据来源/研究背景:本研究的数据是较大的研究的一部分,该研究使用了中西部一个843张床的学术医学中心的电子临床数据存储库。研究设计:这项回顾性探索性研究使用了来自603岁或以上的1,075名患者的1,435例住院治疗的现有行政和临床数据。使用广义估计方程(GEE)分析测试了成本模型。数据收集/提取方法:本研究中使用的电子数据库是病历摘要,财务数据存储库,药房存储库;以及和护理信息系统存储库。数据存储库在患者级别合并到关系数据库中,并存储在SQL Server中。主要发现:该模型占60岁及以上心力衰竭患者住院费用变异性的88%。与医院费用相关的大多数变量是提供者干预。每种医疗程序使成本增加623美元,每种独特的药物使成本增加179美元,而增加每种护理干预措施会使成本增加289美元。一种药物和多种护理干预措施使成本降低。低于平均水平且居住在2-4个单位的护士人员增加了医院成本。结论:此处使用的模型和数据分析技术提供了一种创新且有用的方法,用于描述和量化重要的医疗流程及其对每次住院成本的影响。研究结果表明,在卫生保健中使用现有临床数据进行研究的重要性。

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