Lee J, Dalack G W, Casher M I, Eappen S A, Bostwick J R
University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
University of Michigan Department of Psychiatry, Ann Arbor, MI, USA.
J Clin Pharm Ther. 2016 Apr;41(2):209-13. doi: 10.1111/jcpt.12368. Epub 2016 Feb 26.
Monitoring and intervention for metabolic abnormalities secondary to second-generation antipsychotics (SGAs) remain weak areas of performance in mental health care. This study evaluated the sustained impact of a computerized physician order entry (CPOE) pop-up alert designed to improve rates of laboratory metabolic monitoring of patients treated with SGAs in an inpatient psychiatry unit. Interventions carried out by the psychiatry team to manage metabolic abnormalities found on screening were also identified.
A retrospective chart review of patients treated with scheduled SGAs at a large Midwestern academic medical centre's inpatient adult psychiatry unit was conducted nearly 4 years after the initial implementation of a pop-up alert. Rates of laboratory monitoring (blood glucose level, haemoglobin A1C [HbA1c], lipid panel) were compared to those following the initial implementation. Medical charts of patients with abnormal laboratory results were also reviewed to summarize interventions made by the psychiatry team to manage identified abnormalities.
Patient demographics in the current study population (n = 129) were similar to those in the initial test cohort (n = 157). There was no significant decrease in monitoring of glucose levels and lipid panels (fasting or random). Nine patients with abnormally elevated laboratories were identified. Interventions by the psychiatry team included referrals to appropriate healthcare professionals and initiation of medication.
The rate of metabolic monitoring for inpatients on SGA therapy did not significantly change over time with the continued use of the CPOE pop-up alert. Optimal monitoring utilizing a CPOE pop-up alert may allow the psychiatry team, including psychiatric pharmacists, to better manage metabolic conditions.
对第二代抗精神病药物(SGA)所致代谢异常的监测与干预仍是精神卫生保健工作中表现薄弱的环节。本研究评估了一种计算机化医嘱录入(CPOE)弹出式警报的持续影响,该警报旨在提高住院精神科病房中接受SGA治疗患者的实验室代谢监测率。同时还确定了精神科团队为处理筛查中发现的代谢异常而采取的干预措施。
在弹出式警报首次实施近4年后,对美国中西部一家大型学术医疗中心住院成人精神科病房中接受常规SGA治疗的患者进行回顾性病历审查。将实验室监测率(血糖水平、糖化血红蛋白[HbA1c]、血脂谱)与首次实施后的监测率进行比较。还对实验室检查结果异常患者的病历进行了审查,以总结精神科团队为处理已确定异常情况而采取的干预措施。
本研究人群(n = 129)的患者人口统计学特征与初始测试队列(n = 157)相似。血糖水平和血脂谱(空腹或随机)的监测率没有显著下降。确定了9名实验室检查结果异常升高的患者。精神科团队的干预措施包括转介至适当的医疗保健专业人员并开始用药。
随着CPOE弹出式警报的持续使用,接受SGA治疗的住院患者的代谢监测率并未随时间显著变化。利用CPOE弹出式警报进行最佳监测可能使精神科团队(包括精神科药剂师)能够更好地管理代谢状况。