Evidence Hub

P-1918. Reduction in Antibiotic Use Due to Universal Decolonization in Nursing Homes (Secondary Analysis of the Protect Trial)

Seong Eun Kim, Gabrielle M. Gussin, Ken Kleinman, Thomas T. Tjoa, Raveena Signh, Raheeb Saavedra, Loren G. Miller, Susan S. Huang

Open Forum Infectious Diseases, 2026

Abstract

Abstract Background The Protect trial (NEJM 2023 PMID: 37815935) was a cluster randomized trial of 28 nursing homes that found that universal decolonization— CHG bathing and nasal iodophor— reduced infection-related hospitalizations per 1000 resident days by 31%. We evaluated whether this intervention also reduced antibiotic use. Methods We conducted a secondary analysis of the Protect trial to evaluate antibiotics given to residents in nursing homes assigned to routine care versus decolonization. Outcome was defined as the number of days of antibiotic administration during the 7 days reported for each Minimum Data Set (MDS) assessment (admission, quarterly, discharge). We conducted a difference-in-differences logistic regression analysis using generalized linear mixed models to account for clustering within facility using an interaction term between study arm and time period. Results Comparing the intervention to baseline period, decolonization nursing homes had a 57.5% lower odds of antibiotic prescription (OR=0.425, 95% CI: 0.403-0.448) compared to a 32.4% lower odds in routine care nursing homes (OR=0.676, 95% CI: 0.648-0.705), resulting in a 39.0% greater relative reduction (relative OR=0.610, 95% CI 0.585-0.635; p< 0.0001) after adjusting for age, gender, race, ethnicity, insurance, and coexisting conditions. Unadjusted analyses showed similar results, supporting the robustness of the findings. Predicted probabilities showed antibiotic use decreased from 6.3% to 2.8%…

How strong is the evidence?

Evidence Hub reads this as a secondary / pooled analysis, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free