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.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
25 07 2023
Historique:
received: 13 02 2023
medline: 27 7 2023
pubmed: 25 7 2023
entrez: 25 7 2023
Statut: ppublish

Résumé

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. 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. 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). The implementation of the package can reduce inappropriate antibiotic prescription without compromising clinical outcomes. clinicaltrials.gov; NCT04081051.

Sections du résumé

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.

Identifiants

pubmed: 37490742
pii: 7230999
doi: 10.1093/cid/ciad331
pmc: PMC10368409
doi:

Substances chimiques

Anti-Bacterial Agents 0

Banques de données

ClinicalTrials.gov
['NCT04081051']

Types de publication

Randomized Controlled Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

S134-S144

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Déclaration de conflit d'intérêts

Potential conflicts of interest. J. N., P. O., P. H., and S. D. were all employed by FIND, or member of ADIP, during the design and conduct of the study and writing of the manuscript. P. H. reports research funding from FIND and an honoraria payment from Oxford International Biomedical Centre (OIBC). All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Francois Kiemde (F)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Daniel Valia (D)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Berenger Kabore (B)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Toussaint Rouamba (T)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Alima Nadine Kone (AN)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Seydou Sawadogo (S)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Adelaide Compaore (A)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

Olawale Salami (O)

FIND, Geneva, Switzerland.

Philip Horgan (P)

FIND, Geneva, Switzerland.
Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Evidence and Impact Oxford, Oxford, United Kingdom.

Catrin E Moore (CE)

Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Centre for Neonatal and Pediatric Infection, Institute for Infection and Immunity, St George's University of London, London, United Kingdom.

Sabine Dittrich (S)

FIND, Geneva, Switzerland.
Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Deggendorf Institute of Technology, European Campus Rottal Inn, Pfarrkirchen, Germany.

Juvenal Nkeramahame (J)

FIND, Geneva, Switzerland.

Piero Olliaro (P)

FIND, Geneva, Switzerland.
International Severe Acute Respiratory and Emerging Infection Consortium, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.

Halidou Tinto (H)

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.

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