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A Randomized Trial to Assess the Impact of a Package of Diagnostic Tools and Diagnostic Algorithm on Antibiotic Prescriptions for the Management of Febrile Illnesses Among Children and Adolescents in Primary Health Facilities in Burkina Faso.

Kiemde, F; Valia, D; Kabore, B; Rouamba, T; Kone, AN; Sawadogo, S; Compaore, A; Salami, O; Horgan, P; Moore, CE; et al. Kiemde, F; Valia, D; Kabore, B; Rouamba, T; Kone, AN; Sawadogo, S; Compaore, A; Salami, O; Horgan, P; Moore, CE; Dittrich, S; Nkeramahame, J; Olliaro, P; Tinto, H (2023) A Randomized Trial to Assess the Impact of a Package of Diagnostic Tools and Diagnostic Algorithm on Antibiotic Prescriptions for the Management of Febrile Illnesses Among Children and Adolescents in Primary Health Facilities in Burkina Faso. Clin Infect Dis, 77 (Suppl 2). S134-S144. ISSN 1537-6591 https://doi.org/10.1093/cid/ciad331
SGUL Authors: Moore, Catrin Elisabeth

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Abstract

BACKGROUND: Low- and middle-income countries face significant challenges in differentiating bacterial from viral causes of febrile illnesses, leading to inappropriate use of antibiotics. This trial aimed to evaluate the impact of an intervention package comprising diagnostic tests, a diagnostic algorithm, and a training-and-communication package on antibiotic prescriptions and clinical outcomes. METHODS: Patients aged 6 months to 18 years with fever or history of fever within the past 7 days with no focus, or a suspected respiratory tract infection, arriving at 2 health facilities were randomized to either the intervention package or standard practice. The primary outcomes were the proportions of patients who recovered at day 7 (D7) and patients prescribed antibiotics at day 0. RESULTS: Of 1718 patients randomized, 1681 (97.8%; intervention: 844; control: 837) completed follow-up: 99.5% recovered at D7 in the intervention arm versus 100% in standard practice (P = .135). Antibiotics were prescribed to 40.6% of patients in the intervention group versus 57.5% in the control arm (risk ratio: 29.3%; 95% CI: 21.8-36.0%; risk difference [RD]: -16.8%; 95% CI: -21.7% to -12.0%; P < .001), which translates to 1 additional antibiotic prescription saved every 6 (95% CI: 5-8) consultations. This reduction was significant regardless of test results for malaria, but was greater in patients without malaria (RD: -46.0%; -54.7% to -37.4%; P < .001), those with a respiratory diagnosis (RD: -38.2%; -43.8% to -32.6%; P < .001), and in children 6-59 months old (RD: -20.4%; -26.0% to -14.9%; P < .001). Except for the period July-September, the reduction was consistent across the other quarters (P < .001). CONCLUSIONS: The implementation of the package can reduce inappropriate antibiotic prescription without compromising clinical outcomes. CLINICAL TRIALS REGISTRATION: clinicaltrials.gov; NCT04081051.

Item Type: Article
Additional Information: © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: acute febrile illness, antibiotic prescription, antibiotic reduction, antimicrobial resistance, Humans, Child, Adolescent, Infant, Child, Preschool, Burkina Faso, Anti-Bacterial Agents, Prescriptions, Malaria, Health Facilities, Algorithms, Humans, Malaria, Anti-Bacterial Agents, Algorithms, Adolescent, Child, Child, Preschool, Infant, Health Facilities, Burkina Faso, Prescriptions, antibiotic prescription, antibiotic reduction, antimicrobial resistance, acute febrile illness, 06 Biological Sciences, 11 Medical and Health Sciences, Microbiology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Clin Infect Dis
ISSN: 1537-6591
Language: eng
Dates:
DateEvent
25 July 2023Published Online
15 July 2023Published
25 May 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
PubMed ID: 37490742
Web of Science ID: WOS:001043098000002
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115646
Publisher's version: https://doi.org/10.1093/cid/ciad331

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