Ródenas Francisco, Garcés Jorge, Doñate-Martínez Ascensión, Zafra Eduardo
Instituto de Investigación Polibienestar, Universidad de Valencia, Valencia, España.
Instituto de Investigación Polibienestar, Universidad de Valencia, Valencia, España.
Aten Primaria. 2014 Jan;46(1):25-31. doi: 10.1016/j.aprim.2013.07.010. Epub 2013 Dec 12.
Application of The Community Assessment Risk Screen (CARS) tool for detection of chronic elderly patients at risk of hospital readmission and the viability study for its inclusion in health information systems.
Retrospective cohort study.
Health Departments 6, 10, and 11 from the Valencia Community.
Patients of 65 and over seen in 6 Primary Care centres in December 2008. The sample consisted of 500 patients (sampling error=±4.37%, sampling fraction=1/307).
The CARS tools includes 3items: Diagnostics (heart diseases, diabetes, myocardial infarction, stroke, COPD, cancer), number of prescribed drugs and hospital admissions or emergency room visits in the previous 6months. The data came from SIA-Abucasis, GAIA and MDS, and were compared by Primary Care professionals. The end-point was hospital admission in 2009.
CARS risk levels are related to future readmission (P<.001). The value of sensitivity and specificity is 0.64; the tool accurately identifies patients with low probability of being hospitalized in the future (negative predictive value=0.91, diagnostic efficacy=0.67), but has a positive predictive value of 0.24.
CARS does not properly identify the population at high risk of hospital readmission. However, if it could be revised and the positive predictive value improved, it could be incorporated into the Primary Care computer systems and be useful in the initial screening and grouping of chronic patients at risk of hospital readmission.
应用社区评估风险筛查(CARS)工具检测有再次入院风险的老年慢性病患者,并研究将其纳入健康信息系统的可行性。
回顾性队列研究。
瓦伦西亚自治区的第6、10和11卫生部门。
2008年12月在6个初级保健中心就诊的65岁及以上患者。样本包括500名患者(抽样误差=±4.37%,抽样比例=1/307)。
CARS工具包括3项内容:诊断(心脏病、糖尿病、心肌梗死、中风、慢性阻塞性肺疾病、癌症)、处方药物数量以及过去6个月内的住院次数或急诊就诊次数。数据来自SIA-Abucasis、GAIA和MDS,并由初级保健专业人员进行比较。终点指标是2009年的住院情况。
CARS风险水平与未来再次入院相关(P<0.001)。敏感性和特异性值为0.64;该工具能准确识别未来住院可能性较低的患者(阴性预测值=0.91,诊断效能=0.67),但阳性预测值为0.24。
CARS不能正确识别有高再次入院风险的人群。然而,如果对其进行修订并提高阳性预测值,它可以被纳入初级保健计算机系统,并有助于对有再次入院风险的慢性病患者进行初步筛查和分组。