4.6 Article

New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania

Journal

PLOS ONE
Volume 10, Issue 7, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0132316

Keywords

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Funding

  1. Swiss National Science Foundation [IZ70Z0 - 124023]
  2. Swiss National Science Foundation (SNF) [IZ70Z0_124023] Funding Source: Swiss National Science Foundation (SNF)

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Introduction The decline of malaria and scale-up of rapid diagnostic tests calls for a revision of IMCI. A new algorithm (ALMANACH) running on mobile technology was developed based on the latest evidence. The objective was to ensure that ALMANACH was safe, while keeping a low rate of antibiotic prescription. Methods Consecutive children aged 2-59 months with acute illness were managed using ALMANACH (2 intervention facilities), or standard practice (2 control facilities) in Tanzania. Primary outcomes were proportion of children cured at day 7 and who received antibiotics on day 0. Results 130/842 (15.4%) in ALMANACH and 241/623 (38.7%) in control arm were diagnosed with an infection in need for antibiotic, while 3.8% and 9.6% had malaria. 815/838 (97.3%; 97.3%;96.1-98.4%) were cured at D7 using ALMANACH versus 573/623 (92.0%; 89.8-94.1%) using standard practice (p<0.001). Of 23 children not cured at D7 using ALMANACH, 44% had skin problems, 30% pneumonia, 26% upper respiratory infection and 13% likely viral infection at DO. At DO, antibiotics were prescribed to 15.4% (12.9-17.9%) using ALMANACH versus 84.3% (81.4-87.1%) using standard practice (p<0.001). 2.3%(1.3-3.3) versus 3.2% (1.8-4.6%) received an antibiotic secondarily. Conclusion Management of children using ALMANACH improve clinical outcome and reduce antibiotic prescription by 80%. This was achieved through more accurate diagnoses and hence better identification of children in need of antibiotic treatment or not. The building on mobile technology allows easy access and rapid update of the decision chart.

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