A digital health algorithm to guide antibiotic prescription in pediatric outpatient care: a cluster randomized controlled trial

Author:

Tan RainerORCID,Kavishe Godfrey,Luwanda Lameck B.,Kulinkina Alexandra V.ORCID,Renggli Sabine,Mangu Chacha,Ashery Geofrey,Jorram Margaret,Mtebene Ibrahim Evans,Agrea Peter,Mhagama Humphrey,Vonlanthen Alan,Faivre Vincent,Thabard Julien,Levine Gillian,Le Pogam Marie-Annick,Keitel Kristina,Taffé Patrick,Ntinginya Nyanda,Masanja Honorati,D’Acremont ValérieORCID

Abstract

AbstractExcessive antibiotic use and antimicrobial resistance are major global public health threats. We developed ePOCT+, a digital clinical decision support algorithm in combination with C-reactive protein test, hemoglobin test, pulse oximeter and mentorship, to guide health-care providers in managing acutely sick children under 15 years old. To evaluate the impact of ePOCT+ compared to usual care, we conducted a cluster randomized controlled trial in Tanzanian primary care facilities. Over 11 months, 23,593 consultations were included from 20 ePOCT+ health facilities and 20,713 from 20 usual care facilities. The use of ePOCT+ in intervention facilities resulted in a reduction in the coprimary outcome of antibiotic prescription compared to usual care (23.2% versus 70.1%, adjusted difference −46.4%, 95% confidence interval (CI) −57.6 to −35.2). The coprimary outcome of day 7 clinical failure was noninferior in ePOCT+ facilities compared to usual care facilities (adjusted relative risk 0.97, 95% CI 0.85 to 1.10). There was no difference in the secondary safety outcomes of death and nonreferred secondary hospitalizations by day 7. Using ePOCT+ could help address the urgent problem of antimicrobial resistance by safely reducing antibiotic prescribing. Clinicaltrials.gov Identifier: NCT05144763

Funder

Fondation Botnar, Switzerland (grant number 6278) Swiss Development Cooperation

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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