Alexander Gregory L
Sinclair School of Nursing, University of Missouri, Columbia, Missouri 65211, USA.
J Gerontol Nurs. 2008 Feb;34(2):15-20. doi: 10.3928/00989134-20080201-01.
This descriptive study evaluated a clinical decision support system (CDSS) in three nursing homes. The CDSS included alerts for decline in condition, improvement in condition, constipation, dehydration, loss of skin integrity, weight loss, and weight gain. Frequencies of alerts and their triggers were counted, and Spearman's rank correlations were determined between active alert frequency and number of secondary diagnoses. The most frequent alerts were for dehydration and improvement in condition. One significant positive correlation existed between number of secondary diagnoses and weight gain alert frequencies in residents with cerebral vascular accident. Health care leaders face challenges constructing an implementation strategy that addresses usability, ensures accuracy, and guides users to critical information about residents.
这项描述性研究评估了三家疗养院中的临床决策支持系统(CDSS)。该CDSS包括病情恶化、病情改善、便秘、脱水、皮肤完整性受损、体重减轻和体重增加的警报。统计了警报及其触发因素的频率,并确定了活跃警报频率与二级诊断数量之间的斯皮尔曼等级相关性。最常见的警报是脱水和病情改善。在脑血管意外患者中,二级诊断数量与体重增加警报频率之间存在显著正相关。医疗保健领导者在构建实施策略时面临挑战,该策略要解决可用性问题、确保准确性并引导用户获取有关居民的关键信息。