Effectiveness of a clinical decision support algorithm (CDSA) on reducing unnecessary antibiotic prescriptions for upper respiratory tract infections among ambulatory HIV-infected adults in Mozambique: a cluster randomized controlled trial.
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| Title: | Effectiveness of a clinical decision support algorithm (CDSA) on reducing unnecessary antibiotic prescriptions for upper respiratory tract infections among ambulatory HIV-infected adults in Mozambique: a cluster randomized controlled trial. |
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| Authors: | Faiela C; Department of Biological Science, Faculty of Science, Eduardo Mondlane University, Maputo, Mozambique. candido.faiela@gmail.com.; Department of Physiological Science, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique. candido.faiela@gmail.com., Moon TD; Department of Tropical Medicine and Infectious Diseases, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, USA., Amorim G; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA., Sidat M; Department of Community Health, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique., Sevene E; Department of Physiological Science, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2026 Mar 17; Vol. 26 (1). Date of Electronic Publication: 2026 Mar 17. |
| Publication Type: | Journal Article; Randomized Controlled Trial; Multicenter Study |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1471-2334 |
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| DOI: | 10.1186/s12879-026-13043-w |
