Back
For best output, select "Paper Size" as "A4" and "Margin" as "0" or "None".
To save or print to PDF, please select Print Destination > Save as PDF, enable Background Graphics under "More Settings", then click "Save".
During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Acute kidney injury (AKI) affects millions worldwide and disproportionately impacts low‑ and middle‑income countries where infections and sepsis predominate. Timely detection and management can reverse AKI in many patients, but routine urine‑output (UO) monitoring is infrequent because it is labor intensive and staff are limited. We evaluated a pragmatic, multicomponent quality‑improvement (QI) task‑shift intervention that trained caregivers to perform bedside UO monitoring to improve AKI detection, management, and survival on infectious disease wards at a Ugandan national referral hospital.
We conducted a quasi‑experimental pre–post study on the infectious disease wards of Kiruddu National Referral Hospital. For the pre‑intervention period we reviewed a six‑month retrospective random sample of 121 patient files. During an eight‑week implementation period we prospectively reviewed 119 patient files. The QI intervention comprised two sequential components: (1) clinical staff education on AKI recognition and early management; (2) structured training of patient caregivers to perform UO monitoring and report findings. Primary outcomes were proportion with documented UO monitoring, proportion diagnosed with AKI, proportion receiving AKI management, and in‑hospital mortality. We compared proportions using Pearson’s chi‑square or Fisher’s exact tests and used mixed‑effects logistic regression to estimate associations at a 5% significance level.
Baseline cohort (n = 121): 60% female; median age 37 years (IQR 28–47). Implementation cohort (n = 119): 36% female; median age 38 years (IQR 29–48). At baseline AKI was documented in 12% with minimal UO monitoring. After staff education (phase 1) UO monitoring increased to 12% and AKI diagnoses to 25%. After caregiver training (phase 2) UO monitoring rose to 62% and AKI diagnoses to 31%. Overall during the QI period UO monitoring was 40%, AKI detection 29%, and 91% of diagnosed patients received AKI management. In‑hospital mortality decreased from 40% at baseline to 13% during the QI period (P < 0.001). In mixed‑effects models’ exposure to the full QI intervention was associated with lower odds of in‑hospital death after adjustment for age and sex (adjusted OR 0.20; 95% CI 0.09–0.45).
A low‑cost, scalable QI intervention that task‑shifted routine UO monitoring to trained caregivers substantially increased AKI detection and early management and was associated with a large reduction in in‑hospital mortality on infectious disease wards. This approach is feasible in resource‑limited settings and merits wider evaluation.
