Fowler Nyles T, Garcia Michael, Hankins Cynthia
Providence Portland Medical Center, Portland, Oreg.
Providence St. Vincent Medical Center, Portland, Oreg.
Pediatr Qual Saf. 2019 Nov 6;4(6):e235. doi: 10.1097/pq9.0000000000000235. eCollection 2019 Nov-Dec.
Investigators from Kaiser Permanente developed a risk-assessment calculator as a tool for evaluation of early-onset sepsis (EOS) to narrow antibiotic use for the treatment of EOS. The integration of the EOS risk calculator into an electronic health record will minimize manual calculations and data entry and improve compliance and accuracy through automation.
We performed a retrospective chart review for neonates ≥34 weeks and 0 days gestational age. We collected data pre-integration and post-integration of the EOS risk calculator. The primary outcome measure is the accuracy of user input into the calculator. Secondary outcomes include compliance with using the EOS risk calculator, impact on clinical recommendation when incorrectly calculated, assessment of antibiotic utilization rate (AUR), and comparison of EOS risk calculator recommendations with Centers for Disease Control and American Academy of Pediatrics recommendations.
Miscalculations occurred in 52% of instances pre-integration and 19% of instances post-integration; < 0.001. Compliance was 93% pre-integration and 98% post-integration; = 0.138. Clinical recommendations were changed for 21% (13/62) of miscalculations pre-integration and 4% (1/23) of miscalculations post-integration; = 0.099. The AUR for combined NICU and nursery patients was 47 pre-integration and 47 post-integration; > 0.999. Six cases of culture-positive sepsis were identified, and all recommendations generated by the EOS risk calculator were in alignment with current Centers for Disease Control/American Academy of Pediatrics treatment guidelines.
Integration of the EOS risk calculator into the electronic health record significantly increased calculator accuracy, although it did not show statistically significant differences with regards to compliance, clinical recommendations, or AUR.
凯撒医疗集团的研究人员开发了一种风险评估计算器,作为评估早发性败血症(EOS)的工具,以减少EOS治疗中抗生素的使用。将EOS风险计算器集成到电子健康记录中,将最大限度地减少人工计算和数据录入,并通过自动化提高依从性和准确性。
我们对孕周≥34周0天的新生儿进行了回顾性病历审查。我们收集了EOS风险计算器集成前后的数据。主要结局指标是用户输入计算器的准确性。次要结局包括使用EOS风险计算器的依从性、计算错误时对临床建议的影响、抗生素使用率(AUR)评估,以及将EOS风险计算器的建议与疾病控制中心和美国儿科学会的建议进行比较。
集成前52%的病例计算错误,集成后为19%;P<0.001。集成前依从性为93%,集成后为98%;P = 0.138。集成前21%(13/62)的计算错误改变了临床建议,集成后为4%(1/23);P = 0.099。新生儿重症监护病房(NICU)和新生儿室合并患者的AUR在集成前为47,集成后为47;P>0.999。确定了6例培养阳性败血症病例,EOS风险计算器生成的所有建议均符合当前疾病控制中心/美国儿科学会的治疗指南。
将EOS风险计算器集成到电子健康记录中显著提高了计算器的准确性,尽管在依从性、临床建议或AUR方面未显示出统计学上的显著差异。