Tillekeratne L Gayani, De Soyza Warsha, Iglesias-Ussel Maria D, Olague Stefany, Palangasinghe Dhammika, Nagahawatte Ajith, Wickramatunga Thilini, Gamage Jayani, Kurukulasooriya Ruvini, Premamali Madureka, Ngocho James, Obale Armstrong, Sanborn Kate, Gallis John, Woods Christopher W, Naggie Susanna, Ostbye Truls, Chakraborty Hrishikesh, Laber Eric, Myers Evan, Watt Melissa, Bodinayake Champica K
Duke University School of Medicine, Department of Medicine, Durham, North Carolina.
Duke Global Health Institute, Durham, North Carolina.
Am J Trop Med Hyg. 2024 Oct 8;111(6):1173-1177. doi: 10.4269/ajtmh.24-0126. Print 2024 Dec 4.
Lower respiratory tract infection (LRTI) is a common reason for hospitalization and antibacterial use globally. There is considerable overlap in the clinical presentation of bacterial and viral LRTIs. Low- or middle-income countries (LMICs) face the dual challenge of appropriately targeting antibacterials for bacterial LRTI while reducing inappropriate antibacterials for viral LRTI. We propose a framework by which an electronic clinical decision support tool (eCDST) for diagnosing LRTI and reducing unnecessary antibacterial use may be developed, validated, and prospectively evaluated in an LMIC. The developed tool would be data driven, low-cost, feasible in the local setting, adaptable based on resource availability, and updated in real time, with prospective assessment to identify its clinical impact. We draw upon our team's recent experience developing an eCDST for LRTI management in Sri Lanka. Publicly sharing such processes and data is valuable, such that we can collectively improve clinical care in LMICs and other settings.
下呼吸道感染(LRTI)是全球范围内住院治疗和使用抗菌药物的常见原因。细菌性和病毒性下呼吸道感染的临床表现有相当大的重叠。低收入和中等收入国家(LMICs)面临着双重挑战,既要为细菌性下呼吸道感染合理使用抗菌药物,又要减少对病毒性下呼吸道感染的不当抗菌药物使用。我们提出了一个框架,通过该框架可以在低收入和中等收入国家开发、验证并前瞻性评估用于诊断下呼吸道感染和减少不必要抗菌药物使用的电子临床决策支持工具(eCDST)。所开发的工具将以数据为驱动,成本低廉,在当地环境中可行,可根据资源可用性进行调整,并实时更新,同时进行前瞻性评估以确定其临床影响。我们借鉴了我们团队最近在斯里兰卡开发用于下呼吸道感染管理的电子临床决策支持工具的经验。公开分享此类流程和数据很有价值,这样我们就能共同改善低收入和中等收入国家及其他环境中的临床护理。