Digital clinical decision support algorithm substantially reduced antibiotic prescribing without compromising clinical recovery, according to non-randomized controlled trial in 32 Rwandan health centers

In a pragmatic cluster non-randomized trial, Alexandra Kulinkina and colleagues investigate the effectiveness of a clinical decision support algorithm for guiding antibiotic prescribing in pediatric outpatient care in Rwanda.

In your coverage, please use this URL to provide access to the freely available paper in PLOS Medicine: https://plos.io/4qCUT92 

Video 1 caption: DYNAMIC: Digital clinical decision support for sick children in primary healthcare in Rwanda

Video 1 credit: Swiss Tropical and Public Health Institute (SwissTPH), YouTube

High-resolution video 1 link: https://plos.io/4bnIGk0

Video 2 caption: Dissemination of DYNAMIC findings & discussion on next steps with Rwandan government & stakeholders

Video 2 credit: Swiss Tropical and Public Health Institute (SwissTPH), YouTube

High-resolution video 2 link: https://plos.io/49OUs4c

Article title: Effectiveness of a digital clinical decision support algorithm for guiding antibiotic prescribing in pediatric outpatient care in Rwanda: A pragmatic cluster non-randomized controlled trial

Author countries: Switzerland, Rwanda

Funding: The study received funding from the Swiss Agency for Development and Cooperation (project #: 7F-10361.01.01; https://www.eda.admin.ch/deza/en/home/projekte/projekte.filterResults.html/content/de zaprojects/SDC/en/2019/7F10361/phase1?oldPagePath=/content/deza/en/home/proje kte/projekte.html; VDA, KW, AVK) and Foundation Botnar (grant #: 6278; https://www.fondationbotnar.org/project/dynamic/, VDA). The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.