HEALTH SYSTEM FACTORS IN ANTIMICROBIAL RESISTANCE MANAGEMENT AMONG NEONATES WITH SEPSIS IN KIAMBU COUNTY, KENYA: A MULTICENTRE QUASI-EXPERIMENTAL STUDY

Background: Antimicrobial resistance (AMR) threatens neonatal survival in low-resource settings, yet the contribution of health system factors—infrastructure, staffing, guidelines, laboratory capacity, and healthcare worker (HCW) training—to AMR management outcomes remains poorly characterized. Methods: This was a multicentre quasi-experimental study across six hospitals (three intervention and three control) in Kiambu County. The AMS intervention comprised clinical guidelines, HCW training, audit-and-feedback, and laboratory strengthening with 214 neonates (105 intervention, 109 comparison) enrolled and 154 HCWs. Outcomes included appropriate prescribing, guideline adherence, empiric-to-target switch, multidrug-resistant (MDR) organism isolation, mortality, and length of stay. Results: Pre-post improvements were significant for all stewardship outcomes (McNemar χ2 range 66–71, all p < 0.001) and mortality (χ2 ≈ 18.0, p < 0.001). Between-group differences favoured the intervention arm for appropriate prescribing (81.2% vs 64.9%, χ2 = 7.32, p = 0.007, V = 0.186), guideline adherence (75.2% vs 60.8%, p = 0.034), and empiric-to-target switch (68.4% vs 52.6%, p = 0.026). Culture-before-therapy was strongly associated with MDR isolation (OR = 3.70, 95% CI 1.82–7.51, p < 0.001), reflecting detection bias. Guideline adherence predicted appropriate prescribing (OR = 2.94, 95% CI 1.56–5.52, p = 0.001). Empiric-to-target switch predicted survival (OR = 2.67, 95% CI 1.31–5.47, p = 0.007). Conclusion: Health system factors—particularly guideline availability, laboratory capacity, and HCW training—are modifiable determinants of AMS outcomes. Strengthening these system-level pillars is essential for containing AMR in neonatal sepsis across Kenyan county hospitals.

Authors

Publication Details

Journal
European Journal Pharmaceutical and Medical Research
Published
2026-09-10
DOI
https://doi.org/10.5281/zenodo.22687047
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HEALTH SYSTEM FACTORS IN ANTIMICROBIAL RESISTANCE MANAGEMENT AMONG NEONATES WITH SEPSIS IN KIAMBU COUNTY, KENYA: A MULTICENTRE QUASI-EXPERIMENTAL STUDY

Amos Mureithi Njeru1*, Joseph Choge2, Manaseh Bocha2
European Journal Pharmaceutical and Medical Research
Neonatal and Maternal Infections
article

HEALTH SYSTEM FACTORS IN ANTIMICROBIAL RESISTANCE MANAGEMENT AMONG NEONATES WITH SEPSIS IN KIAMBU COUNTY, KENYA: A MULTICENTRE QUASI-EXPERIMENTAL STUDY

Amos Mureithi Njeru1*, Joseph Choge2, Manaseh Bocha2
article en

Abstract

Background: Antimicrobial resistance (AMR) threatens neonatal survival in low-resource settings, yet the contribution of health system factors—infrastructure, staffing, guidelines, laboratory capacity, and healthcare worker (HCW) training—to AMR management outcomes remains poorly characterized. Methods: This was a multicentre quasi-experimental study across six hospitals (three intervention and three control) in Kiambu County. The AMS intervention comprised clinical guidelines, HCW training, audit-and-feedback, and laboratory strengthening with 214 neonates (105 intervention, 109 comparison) enrolled and 154 HCWs. Outcomes included appropriate prescribing, guideline adherence, empiric-to-target switch, multidrug-resistant (MDR) organism isolation, mortality, and length of stay. Results: Pre-post improvements were significant for all stewardship outcomes (McNemar χ2 range 66–71, all p < 0.001) and mortality (χ2 ≈ 18.0, p < 0.001). Between-group differences favoured the intervention arm for appropriate prescribing (81.2% vs 64.9%, χ2 = 7.32, p = 0.007, V = 0.186), guideline adherence (75.2% vs 60.8%, p = 0.034), and empiric-to-target switch (68.4% vs 52.6%, p = 0.026). Culture-before-therapy was strongly associated with MDR isolation (OR = 3.70, 95% CI 1.82–7.51, p < 0.001), reflecting detection bias. Guideline adherence predicted appropriate prescribing (OR = 2.94, 95% CI 1.56–5.52, p = 0.001). Empiric-to-target switch predicted survival (OR = 2.67, 95% CI 1.31–5.47, p = 0.007). Conclusion: Health system factors—particularly guideline availability, laboratory capacity, and HCW training—are modifiable determinants of AMS outcomes. Strengthening these system-level pillars is essential for containing AMR in neonatal sepsis across Kenyan county hospitals.

European Journal Pharmaceutical and Medical Research
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Neonatal and Maternal Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.