What question did this study set out to answer?

The study aimed to evaluate how effective a clinical decision support algorithm (CDSA) is in reducing unnecessary antibiotic prescriptions for upper respiratory tract infections (URTIs) among HIV-infected adults.

March 21, 2026BMC Infectious DiseasesOpen Access

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

CFCândido FaielaEduardo Mondlane University TMTroy D. MoonTulane University GAGustavo AmorimVanderbilt University

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Implication

A randomized controlled trial evaluates a CDSA's impact on antibiotic use in HIV-infected adults, suggesting its effectiveness.

Key Points

The study aimed to evaluate how effective a clinical decision support algorithm (CDSA) is in reducing unnecessary antibiotic prescriptions for upper respiratory tract infections (URTIs) among HIV-infected adults.
Conducted a multicenter, two-arm parallel, cluster-randomized controlled trial.
Involved six primary healthcare facilities in Mozambique.
Included applying the CDSA, educating clinicians, and conducting prescription audits.
Utilized Pearson’s chi-square test and relative risk for data analysis.
Participants in the intervention arm were less likely to receive an antibiotic prescription (RR 0.41).
The antibiotic prescribing rate was 23.1% in the intervention group compared to 56.3% in the control group.
The intervention resulted in a significant reduction in antibiotic prescribing by 33.2% (p < 0.001).
Complication rates were non-significantly reduced by 3.7% (p = 0.096).
Most patients (78%) recovered completely within five days.

Cite This Study

Faiela et al. (2026) studied this question.

synapsesocial.com/papers/69be35166e48c4981c6733c7 https://doi.org/10.1186/s12879-026-13043-w

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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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Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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