Goertzen Rebecca, Pillay Yashodani, Karugaba James, Ishebukara Ivan Aine Aye, Asdo Ahmad, Dunsmuir Dustin, Behan Justine, Huxford Charly, Novakowski Stefanie K, Tusingwire Fredson, Kasyaba Ronald, Kakuru Gloria, Khisa John, Businge Stephen, Kyewalyanga Mike, Kissoon Niranjan, Ansermino J Mark
Institute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.
Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC, Canada.
PLoS One. 2025 Aug 7;20(8):e0329369. doi: 10.1371/journal.pone.0329369. eCollection 2025.
This is a retrospective review of the feasibility study and implementation of the Smart Triage and Quality Improvement (QI) initiative at Holy Innocents Children's Hospital (HICH), a dedicated pediatric hospital in Mbarara, Uganda, over a 5-year period. The aim of this QI initiative was to improve triaging rates and the time-to-antimicrobials in HICH's outpatient department (OPD).
Smart Triage is a risk prediction algorithm and digital platform that enables healthcare workers to triage patients and track treatments effectively. Following the feasibility study, the QI program was implemented in September 2021 using three Plan-Do-Study-Act cycles: 1) Standardize Training, 2) Adjust Workflows, and 3) QI Team Communication. Data sources were triage and hospital reports. Monthly run charts of OPD attendance, acuity of illness, triaging rates, median-time-to-antimicrobials, and mortality rates of admitted patients were created. The trajectories of the variables were assessed using linear regression with time as the explanatory variable.
121,521 children attended HICH OPD from November 2018 to October 2023. The OPD triaging rate increased to 91% by October 2023, with a sustained plateau above 90% since July 2022. There was a significant reduction in the median time-to-antimicrobials during the 5-year period, from 77.6 to 53.6 minutes, with a slope of -0.4 minutes per month (CI: -0.73 to -0.04, p-value: 0.029). The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.
The impact of Smart Triage was sustained beyond the end of the feasibility trial and showed sustained improvements in processes such as treatment times and clinical outcomes including a reduction in mortality. HICH's leadership integrated a culture of QI across disciplines and departments, contributing to this initiative's sustainability and impact.
这是一项对乌干达姆巴拉拉一家专门的儿童医院——圣婴儿童医院(HICH)在5年期间开展的智能分诊与质量改进(QI)计划的可行性研究及实施情况的回顾性分析。该QI计划的目的是提高HICH门诊部(OPD)的分诊率以及缩短使用抗菌药物的时间。
智能分诊是一种风险预测算法和数字平台,可使医护人员有效地对患者进行分诊并跟踪治疗情况。在可行性研究之后,QI项目于2021年9月实施,采用了三个计划-执行-研究-行动循环:1)标准化培训,2)调整工作流程,3)QI团队沟通。数据来源为分诊和医院报告。创建了关于OPD就诊人数、疾病严重程度、分诊率、使用抗菌药物的中位时间以及住院患者死亡率的月度运行图。使用以时间为解释变量的线性回归评估变量的轨迹。
2018年11月至2023年10月期间,121,521名儿童前往HICH的OPD就诊。到2023年10月,OPD分诊率提高到91%,自2022年7月以来一直维持在90%以上的稳定水平。在这5年期间,使用抗菌药物的中位时间显著缩短,从77.6分钟降至53.6分钟,每月下降斜率为-0.4分钟(置信区间:-0.73至-0.04,p值:0.029)。住院死亡率从2018年8月的5.1%降至2023年10月的2.6%,病情严重程度相当的病例数量显著增加。
智能分诊的影响在可行性试验结束后仍持续存在,并在治疗时间和临床结果等方面持续改善,包括死亡率降低。HICH的领导层在各学科和部门中融入了QI文化,促进了该计划的可持续性和影响力。