Faculty of Health Care, Hogeschool Utrecht, University of Applied Science, Utrecht, The Netherlands.
J Clin Nurs. 2010 May;19(9-10):1219-25. doi: 10.1111/j.1365-2702.2009.03035.x. Epub 2010 Mar 16.
To establish a screening instrument for identifying older hospitalised patients at risk for functional decline by comparing the predictive values of three screening instruments: identification of seniors at risk, care complexity prediction instrument and hospital admission risk profile.
After being hospitalised, 30-60% of older patients experience a decline in functioning, resulting in a decreased quality of life and autonomy.
A prospective cohort study.
Included were patients, aged 65 years and older, acutely admitted to a general internal ward of a university teaching hospital. Within 48 hours after hospital admission, baseline data were completed--demographic, cognitive, social and pre-admission functional status and the screening instruments. Three months after discharge, functional status was measured by telephone interview. The Katz index was used to measure functional status (six activities). Functional decline was defined as a decline of at least one point on the Katz index at three months after discharge compared to pre-admission state.
Included were 177 patients; mean age was 77.6 years and 51.7 % were male. Functional decline was found in 27.8% of all patients. Sensitivity, specificity and area under receiver operating curve for identification of seniors at risk (ISAR) were 93, 39% and 0.67, respectively. The corresponding results for the care complexity prediction instrument (COMPRI) were 70, 62% and 0.69 and for the hospital admission risk profile (HARP) 21, 89% and 0.56.
The discriminative values of both identification of seniors at risk and care complexity prediction instrument are fair. Hospital admission risk profile shows the poorest results. Identification of seniors at risk shows the best ability to predict those patients at risk for functional decline and seems to be the easiest instrument in clinical practice.
Identifying patients at risk for functional decline is a first step in prevention, followed by geriatric assessment and targeted interventions. Studying the validity of existing instruments is necessary before implementation in clinical practice.
通过比较三种筛选工具的预测值,即老年人风险识别、护理复杂性预测工具和住院风险概况,为识别有功能下降风险的住院老年患者建立筛选工具。
老年人住院后,30-60%的患者会出现功能下降,导致生活质量和自主性下降。
前瞻性队列研究。
纳入年龄在 65 岁及以上、急性入住大学教学医院综合内科病房的患者。入院后 48 小时内完成基线数据——人口统计学、认知、社会和入院前功能状态以及筛选工具。出院后 3 个月通过电话访谈测量功能状态。Katz 指数用于测量功能状态(六项活动)。功能下降定义为与入院前状态相比,出院后 3 个月时 Katz 指数至少下降 1 分。
共纳入 177 例患者;平均年龄为 77.6 岁,51.7%为男性。所有患者中有 27.8%出现功能下降。老年人风险识别(ISAR)的敏感性、特异性和受试者工作特征曲线下面积分别为 93%、39%和 0.67。护理复杂性预测工具(COMPRI)的相应结果为 70%、62%和 0.69,住院风险概况(HARP)为 21%、89%和 0.56。
老年人风险识别和护理复杂性预测工具的鉴别价值均为中等。住院风险概况显示出最差的结果。老年人风险识别能够最好地预测有功能下降风险的患者,并且在临床实践中似乎是最简单的工具。
识别有功能下降风险的患者是预防的第一步,随后是老年评估和有针对性的干预。在将现有的工具应用于临床实践之前,有必要研究其有效性。