Evidence map›Paper›PMID 40773450›Full record

ArticlePloS one2025

Improving pediatric care in Uganda with a digital platform and quality improvement initiative: A retrospective review of Smart Triage + QI.

Rebecca Goertzen, Yashodani Pillay, James Karugaba, Ivan Aine Aye Ishebukara, Ahmad Asdo, Dustin Dunsmuir, Justine Behan, Charly Huxford, Stefanie K Novakowski, Fredson Tusingwire and 7 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Rebecca GoertzenInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.ORCID https://orcid.org/0009-0008-2267-5670
Yashodani PillayInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.
James KarugabaHoly Innocents Children's Hospital, Mbarara, Uganda.
Ivan Aine Aye IshebukaraHoly Innocents Children's Hospital, Mbarara, Uganda.
Ahmad AsdoInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-7570-027X
Dustin DunsmuirInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-9717-3685
Justine BehanInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.
Charly HuxfordInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.
Stefanie K NovakowskiInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.
Fredson TusingwireWalimu, Kampala, Uganda.
Ronald KasyabaUganda Catholic Medical Bureau, Kampala, Uganda.
Gloria KakuruUganda Catholic Medical Bureau, Kampala, Uganda.
John KhisaUganda Catholic Medical Bureau, Kampala, Uganda.ORCID https://orcid.org/0009-0008-6327-8890
Stephen BusingeHoly Innocents Children's Hospital, Mbarara, Uganda.
Mike KyewalyangaHoly Innocents Children's Hospital, Mbarara, Uganda.
Niranjan KissoonDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC, Canada.
J Mark AnserminoInstitute for Global Health at BC Children's and Women's Hospital+Health Centre, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-8427-2035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis is a retrospective review of the feasibility study and implementation of the Smart Triage and Quality Improvement (QI) initiative at Holy Innocents Children's Hospital (HICH), a dedicated pediatric hospital in Mbarara, Uganda, over a 5-year period. The aim of this QI initiative was to improve triaging rates and the time-to-antimicrobials in HICH's outpatient department (OPD).

methodsSmart Triage is a risk prediction algorithm and digital platform that enables healthcare workers to triage patients and track treatments effectively. Following the feasibility study, the QI program was implemented in September 2021 using three Plan-Do-Study-Act cycles: 1) Standardize Training, 2) Adjust Workflows, and 3) QI Team Communication. Data sources were triage and hospital reports. Monthly run charts of OPD attendance, acuity of illness, triaging rates, median-time-to-antimicrobials, and mortality rates of admitted patients were created. The trajectories of the variables were assessed using linear regression with time as the explanatory variable.

results121,521 children attended HICH OPD from November 2018 to October 2023. The OPD triaging rate increased to 91% by October 2023, with a sustained plateau above 90% since July 2022. There was a significant reduction in the median time-to-antimicrobials during the 5-year period, from 77.6 to 53.6 minutes, with a slope of -0.4 minutes per month (CI: -0.73 to -0.04, p-value: 0.029). The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.

conclusionThe impact of Smart Triage was sustained beyond the end of the feasibility trial and showed sustained improvements in processes such as treatment times and clinical outcomes including a reduction in mortality. HICH's leadership integrated a culture of QI across disciplines and departments, contributing to this initiative's sustainability and impact.

Indexed as

PediatricsQuality ImprovementTriageChildChild, PreschoolFeasibility StudiesFemaleHospitals, PediatricHumansInfantMaleRetrospective StudiesUganda

Identifiers

PMID40773450
PMCPMC12331088

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.