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Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis
by
Kimutai, David
, Ouma, Mary
, Wiens, Matthew O.
, Mwaniki, Paul
, Nambuya, Harriet
, Kigo, Joyce
, Ahmed, Ismail
, Agaba, Collins
, Hwang, Bella
, Novakowski, Stefanie K
, Ansermino, J Mark
, Huxford, Charly
, Akech, Samuel
, Toliva, Bernard Opar
, Dunsmuir, Dustin
, Tenywa, Emmanuel
, Tagoola, Abner
, Pillay, Yashodani
, Oyella, Florence
, Aye, Ivan Aine
, Kissoon, Niranjan
, Kamau, Stephen
, Zhang, Cherri
, Kenya-Mugisha, Nathan
in
Algorithms
/ Antibiotics
/ Antimicrobial agents
/ Automation
/ Biology and Life Sciences
/ COVID-19
/ Data collection
/ Emergency medical care
/ Fatalities
/ Health care
/ Hospitals
/ Illnesses
/ Intervention
/ Medicine and Health Sciences
/ Mortality
/ Patients
/ Pediatrics
/ People and Places
/ Quality improvement
/ Risk assessment
/ Sepsis
/ Time series
/ Usability
2025
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Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis
by
Kimutai, David
, Ouma, Mary
, Wiens, Matthew O.
, Mwaniki, Paul
, Nambuya, Harriet
, Kigo, Joyce
, Ahmed, Ismail
, Agaba, Collins
, Hwang, Bella
, Novakowski, Stefanie K
, Ansermino, J Mark
, Huxford, Charly
, Akech, Samuel
, Toliva, Bernard Opar
, Dunsmuir, Dustin
, Tenywa, Emmanuel
, Tagoola, Abner
, Pillay, Yashodani
, Oyella, Florence
, Aye, Ivan Aine
, Kissoon, Niranjan
, Kamau, Stephen
, Zhang, Cherri
, Kenya-Mugisha, Nathan
in
Algorithms
/ Antibiotics
/ Antimicrobial agents
/ Automation
/ Biology and Life Sciences
/ COVID-19
/ Data collection
/ Emergency medical care
/ Fatalities
/ Health care
/ Hospitals
/ Illnesses
/ Intervention
/ Medicine and Health Sciences
/ Mortality
/ Patients
/ Pediatrics
/ People and Places
/ Quality improvement
/ Risk assessment
/ Sepsis
/ Time series
/ Usability
2025
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Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis
by
Kimutai, David
, Ouma, Mary
, Wiens, Matthew O.
, Mwaniki, Paul
, Nambuya, Harriet
, Kigo, Joyce
, Ahmed, Ismail
, Agaba, Collins
, Hwang, Bella
, Novakowski, Stefanie K
, Ansermino, J Mark
, Huxford, Charly
, Akech, Samuel
, Toliva, Bernard Opar
, Dunsmuir, Dustin
, Tenywa, Emmanuel
, Tagoola, Abner
, Pillay, Yashodani
, Oyella, Florence
, Aye, Ivan Aine
, Kissoon, Niranjan
, Kamau, Stephen
, Zhang, Cherri
, Kenya-Mugisha, Nathan
in
Algorithms
/ Antibiotics
/ Antimicrobial agents
/ Automation
/ Biology and Life Sciences
/ COVID-19
/ Data collection
/ Emergency medical care
/ Fatalities
/ Health care
/ Hospitals
/ Illnesses
/ Intervention
/ Medicine and Health Sciences
/ Mortality
/ Patients
/ Pediatrics
/ People and Places
/ Quality improvement
/ Risk assessment
/ Sepsis
/ Time series
/ Usability
2025
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Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis
Journal Article
Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis
2025
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Overview
Sepsis occurs predominantly in low-middle-income countries. Sub-optimal triage contributes to poor early case recognition and outcomes from sepsis. Improved recognition and quality of care can lead to improved outcomes. We evaluated the impact of Smart Triage using improved time to intravenous antimicrobial administration in a multisite interventional study. Smart Triage, a digital platform with a risk score and clinical dashboard, was implemented (with control sites) in Kenya (February 2021-December 2022) and Uganda (April 2020-April 2022). Children presenting to the outpatient departments with an acute illness were enrolled. A controlled interrupted time series was used to assess the effect on time from arrival at the facility to intravenous antimicrobial administration. Secondary analyses included antimicrobial use, admission rates and mortality (NCT04304235). During the baseline period, the time to antimicrobials decreased significantly in Kenya (132 and 58 minutes) at control and intervention sites. In Uganda, the time to antimicrobials marginally decreased (3 minutes) at the intervention site. Then, during the implementation period in Kenya, the time to antimicrobials at the intervention site decreased by 98 min (57%, 95% CI 81-114) but increased by 49 min (21%, 95% CI: 23-76) at the control site. In Uganda, the time to antimicrobials initially decreased but was not sustained and there was no significant difference between intervention and control sites. At both intervention sites, there was a significant reduction in antimicrobial utilization of 47% (Kenya) and 33% (Uganda) compared to baseline. There was a reduction in admission rates of 47% (Kenya) and 33% (Uganda) compared to baseline. Mortality reduced by 25% (Kenya) and 75% (Uganda) compared to the baseline period. We showed significant improvements in time to intravenous antibiotics in Kenya but not Uganda, likely due to COVID-19, a short study period and resource constraints. The reduced antimicrobial use and admission and mortality rates are remarkable and welcome benefits. The admission and mortality rates should be interpreted cautiously as these were secondary outcomes. This study underlines the difficulty of implementing technologies and sustaining quality improvement in health systems.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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