Department of Disease Surveillance, Infectious Diseases Research Collaboration, Kampala, Uganda.
Department of Pharmacy, Makerere University School of Health Sciences, Kampala, Uganda.
Clin Infect Dis. 2023 Jul 25;77(Suppl 2):S156-S170. doi: 10.1093/cid/ciad341.
Increasing trends of antimicrobial resistance are observed around the world, driven in part by excessive use of antimicrobials. Limited access to diagnostics, particularly in low- and middle-income countries, contributes to diagnostic uncertainty, which may promote unnecessary antibiotic use. We investigated whether introducing a package of diagnostic tools, clinical algorithm, and training-and-communication messages could safely reduce antibiotic prescribing compared with current standard-of-care for febrile patients presenting to outpatient clinics in Uganda.
This was an open-label, multicenter, 2-arm randomized controlled trial conducted at 3 public health facilities (Aduku, Nagongera, and Kihihi health center IVs) comparing the proportions of antibiotic prescriptions and clinical outcomes for febrile outpatients aged ≥1 year. The intervention arm included a package of point-of-care tests, a diagnostic and treatment algorithm, and training-and-communication messages. Standard-of-care was provided to patients in the control arm.
A total of 2400 patients were enrolled, with 49.5% in the intervention arm. Overall, there was no significant difference in antibiotic prescriptions between the study arms (relative risk [RR]: 1.03; 95% CI: .96-1.11). In the intervention arm, patients with positive malaria test results (313/500 [62.6%] vs 170/473 [35.9%]) had a higher RR of being prescribed antibiotics (1.74; 1.52-2.00), while those with negative malaria results (348/688 [50.6%] vs 376/508 [74.0%]) had a lower RR (.68; .63-.75). There was no significant difference in clinical outcomes.
This study found that a diagnostic intervention for management of febrile outpatients did not achieve the desired impact on antibiotic prescribing at 3 diverse and representative health facility sites in Uganda.
世界各地都观察到抗生素耐药性呈上升趋势,部分原因是抗生素的过度使用。诊断方法有限,特别是在中低收入国家,导致诊断不确定,这可能会促进不必要的抗生素使用。我们研究了在乌干达的 3 家公立卫生机构(Aduku、Nagongera 和 Kihihi 卫生中心 IV)中,引入一套诊断工具、临床算法和培训与沟通信息是否能安全地减少发热门诊患者的抗生素处方量,而不是目前的标准治疗方案。
这是一项开放标签、多中心、2 臂随机对照试验,在 3 家公立卫生机构(Aduku、Nagongera 和 Kihihi 卫生中心 IV)进行,比较了年龄≥1 岁的发热门诊患者的抗生素处方比例和临床结局。干预组包括一套即时检测、诊断和治疗算法以及培训和沟通信息。对照组为患者提供标准治疗方案。
共纳入 2400 例患者,其中干预组 49.5%。总体而言,研究组之间的抗生素处方量没有显著差异(相对风险 [RR]:1.03;95%置信区间:.96-1.11)。在干预组中,疟原虫检测结果阳性的患者(313/500 [62.6%] 比 170/473 [35.9%])抗生素处方的 RR 更高(1.74;1.52-2.00),而疟原虫检测结果阴性的患者(348/688 [50.6%] 比 376/508 [74.0%])RR 较低(.68;.63-.75)。临床结局没有显著差异。
本研究发现,在乌干达的 3 家多样化和有代表性的卫生机构中,针对发热门诊患者管理的诊断干预措施并没有达到预期的抗生素处方量减少效果。