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

Journals

  1. Saleem Z, Mekonnen B, Orubu E, Islam M, Nguyen T, Ubaka C, Buma D, Thuy N, Sant Y, Sono T, Bochenek T, Kalungia A, Abdullah S, Miljković N, Yeika E, Niba L, Akafity G, Sefah I, Opanga S, Kitutu F, Khuluza F, Zaranyika T, Parajuli A, Darweesh O, Islam S, Kumar S, Nabayiga H, Jairoun A, Chigome A, Ogunleye O, Fadare J, Massele A, Cook A, Jelić A, Godói I, Phillip A, Meyer J, Funiciello E, Lorenzetti G, Kurdi A, Haseeb A, Moore C, Campbell S, Godman B, Sharland M. Current access, availability and use of antibiotics in primary care among key low- and middle-income countries and the policy implications. Expert Review of Anti-infective Therapy 2025:1 View
  2. Hassan S, Huda N. “Letter to the editor: Health care associated infections and antimicrobial use: The third point prevalence survey on 42 acute care hospitals in Piedmont, Italy, 2022”. American Journal of Infection Control 2025;53(9):1021 View