Baker J J, Lambert R L, Poulos K M, Feldman J I
Resource Group, Ltd., Dallas, Texas, USA.
J Health Care Finance. 2000 Spring;26(3):73-82.
Nosocomial infections represent a major health problem and can have a significant impact on the cost of treating a patient. Hospital-acquired pneumonia (HAP) is the second most common nosocomial infection in the United States and the leading cause of death due to a nosocomial infection. The high prevalence of HAP and its significant impact on increased length of stay and incremental treatment costs identify nosocomial pneumonia (NP) as a key component in managing the total cost of care. The study's objective was to develop a predictive tool for identifying those adult patients in critical care (CC) who are at greatest risk of developing NP to better manage the costs of care. The authors also expected to determine the expected probability of a patient developing NP in CC. A prospective study of longer stay critical care unit (CCU) patients was performed in nine U.S. CCUs. There were no interventions in the study. Development was based on variables common to CC and specific patient profile risk factors. Twelve statistically significant and clinically meaningful risk factors were identified and placed in a sequential cascade fashion. The positive predictive value of the sequential decision process and corresponding tool was 87.03 percent.
医院感染是一个重大的健康问题,并且会对患者的治疗成本产生重大影响。医院获得性肺炎(HAP)是美国第二常见的医院感染,也是医院感染导致死亡的主要原因。HAP的高患病率及其对住院时间延长和治疗成本增加的重大影响,使得医院内肺炎(NP)成为管理总体护理成本的关键因素。该研究的目的是开发一种预测工具,用于识别重症监护(CC)中发生NP风险最高的成年患者,以便更好地管理护理成本。作者还期望确定患者在CC中发生NP的预期概率。在美国的九个重症监护病房(CCU)对住院时间较长的患者进行了一项前瞻性研究。该研究未进行任何干预。研究基于CC常见的变量和特定患者特征风险因素。确定了12个具有统计学意义和临床意义的风险因素,并以顺序级联的方式排列。顺序决策过程和相应工具的阳性预测值为87.03%。