Rarrick Christine, Hebbard Amy
Ment Health Clin. 2020 Mar 30;10(2):64-69. doi: 10.9740/mhc.2020.03.064. eCollection 2020 Mar.
Urinary tract infection (UTI) is considered a common cause of mental status changes, particularly in elderly patients and patients with a psychiatric condition. Genitourinary symptoms are essential to confirm UTI diagnosis but may be unobtainable in patients with a communication barrier. Sparse guidance suggests assessing specific symptoms that do not rely on patient report. The primary objective of this project was to provide assistance in diagnosis and treatment of UTIs in noncommunicative patients through the creation of an algorithm.
Through extensive interdisciplinary collaboration, the authors developed criteria to identify UTI symptoms that do not require communication. In order to make the algorithm comprehensive, we chose to include general information related to UTI diagnosis and treatment. The algorithm was implemented within the psychiatric emergency department as this is where patients are evaluated to determine need for psychiatric admission. Providers in the psychiatric emergency department were provided with detailed education on the algorithm as well as information about UTI diagnosis and treatment.
Creating an algorithm within our institution required significant interdisciplinary collaboration. Providers were receptive to and appreciative of a comprehensive resource to assist in this difficult clinical situation. The authors plan to study the effects of algorithm implementation, specifically assessing changes in symptom documentation and antibiotic use.
尿路感染(UTI)被认为是精神状态改变的常见原因,尤其是在老年患者和患有精神疾病的患者中。泌尿生殖系统症状对于确诊UTI至关重要,但对于存在沟通障碍的患者可能无法获取。现有少量指南建议评估不依赖患者报告的特定症状。本项目的主要目标是通过创建一种算法,为无法沟通的患者的UTI诊断和治疗提供帮助。
通过广泛的跨学科合作,作者制定了识别无需沟通即可发现的UTI症状的标准。为使算法全面,我们选择纳入与UTI诊断和治疗相关的一般信息。该算法在精神科急诊科实施,因为患者在此接受评估以确定是否需要精神科住院治疗。精神科急诊科的医护人员接受了关于该算法以及UTI诊断和治疗信息的详细培训。
在我们机构创建一种算法需要大量的跨学科合作。医护人员对有助于应对这一困难临床情况的综合资源表示接受和感激。作者计划研究算法实施的效果,特别是评估症状记录和抗生素使用的变化。