Colón-Emeric Cathleen S, Schmader Kenneth E, Twersky Jack, Kuchibhatla Maragantha, Kellum Sally, Weinberger Morris
Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
J Am Geriatr Soc. 2009 Sep;57(9):1644-53. doi: 10.1111/j.1532-5415.2009.02387.x. Epub 2009 Aug 4.
To develop order entry algorithms for five common nursing home problems and to test their acceptance, use, and preliminary effect on nine quality indicators and resource utilization.
Pre-post, quasi-experimental study.
Two Department of Veterans Affairs nursing homes.
Randomly selected residents (N=265) with one or more target conditions and 42 nursing home providers.
Expert panels developed computerized order entry algorithms based on clinical practice guidelines. Each was displayed on a single screen and included an array of diagnostic and treatment options and means to communicate with the interdisciplinary team.
Medical records were abstracted for the 6 months before and after deployment for quality indicators and resource utilization.
Despite positive provider attitudes toward the computerized order entry algorithms, their use was infrequent and varied according to condition: falls (73.0%), fever (9.0%), pneumonia (8.0%), urinary tract infection (7.0%), and osteoporosis (3.0%). In subjects with falls, trends for improvements in quality measures were observed for six of the nine measures: measuring orthostatic blood pressure (17.5-30.0%, P=.29), reducing neuroleptics (53.8-75.0%, P=.27), reducing sedative-hypnotics (16.7-50.0%, P=.50), prescription of calcium (22.5-32.5%, P=.45), vitamin D (20.0-35.0%, P=.21), and external hip protectors (25.0-47.5%, P=.06). Little improvement was observed in the other conditions (documentation of vital signs, physical therapy referrals, or reduction of benzodiazepines or antidepressants). There was no change in resource utilization.
Computerized order entry algorithms were used infrequently, except for falls. Further study may determine whether their use leads to improved care.
开发针对五种常见养老院问题的医嘱录入算法,并测试其在九个质量指标和资源利用方面的接受度、使用情况及初步效果。
前后对照的准实验研究。
两家退伍军人事务部养老院。
随机选取的患有一种或多种目标疾病的居民(N = 265)以及42名养老院工作人员。
专家小组根据临床实践指南开发了计算机化医嘱录入算法。每个算法都显示在单个屏幕上,包括一系列诊断和治疗选项以及与跨学科团队沟通的方式。
在部署前后6个月抽取医疗记录,以获取质量指标和资源利用情况。
尽管工作人员对计算机化医嘱录入算法持积极态度,但使用频率不高,且因疾病而异:跌倒(73.0%)、发热(9.0%)、肺炎(8.0%)、尿路感染(7.0%)和骨质疏松症(3.0%)。在跌倒患者中,九个指标中的六个观察到质量指标改善趋势:测量直立性血压(17.5 - 30.0%,P = 0.29)、减少抗精神病药物使用(53.8 - 75.0%,P = 0.27)、减少镇静催眠药使用(16.7 - 50.0%,P = 0.50)、开具钙处方(22.5 - 32.5%,P = 0.45)、开具维生素D处方(20.0 - 35.0%,P = 0.21)以及使用外部髋部保护器(25.0 - 47.5%,P = 0.06)。在其他疾病方面(生命体征记录、物理治疗转诊或减少苯二氮䓬类药物或抗抑郁药使用)改善甚微。资源利用情况没有变化。
除跌倒外,计算机化医嘱录入算法使用频率不高。进一步研究可能会确定其使用是否能改善护理。