Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58116, first published .
Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Jonathan Mayito   1 * , MBChB, MMed, PhD ;   Conrad Tumwine   1 * , MBChB ;   Ronald Galiwango   1, 2 , BSc, MPhil, PhD ;   Elly Nuwamanya   1 , BSc, MScEcon ;   Suzan Nakasendwa   1 , BScStatistics, MScBiostatistics ;   Mackline Hope   1 , MBChB, MPH, DTMH ;   Reuben Kiggundu   1 , MBChB, MScPhysiology, MPH ;   Dathan M Byonanebye   1 , MBChB, MMed, MPH, PhD ;   Flavia Dhikusooka   1 , BSc ;   Vivian Twemanye   1 , BPharm, MPH ;   Andrew Kambugu   1 , MBChB, MMed ;   Francis Kakooza   1 , PhD

1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda

2 African Center of Excellence in Bioinformatics and Data Intensive Sciences, The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda

*these authors contributed equally

Corresponding Author:

  • Conrad Tumwine, MBChB
  • Infectious Diseases Institute
  • College of Health Sciences
  • Makerere University
  • IDI-McKinnell Knowledge Centre
  • P.O. Box 22418
  • Kampala, 10208
  • Uganda
  • Phone: 256 0704976874
  • Fax: 256 0704976874
  • Email: tconrad@idi.co.ug