Evaluation of the Saving Little Lives Program Scale-Up: Implementation of an Evidence-Based Minimum Care Package for Preterm and Low-Birth-Weight Newborns in Ethiopia

Background: In 2019, Ethiopia’s neonatal mortality rate was 33 deaths per 1000 live births, far from the Sustainable Development Goal 3.2 of 12 or fewer deaths per 1000 live births by 2030. With funding from the Global Financing Facility, the Ministry of Health designed the Saving Little Lives (SLL) program in collaboration with local universities to address the gap. The SLL program aimed to decrease 28-day neonatal mortality by 35% by implementing evidence-based Minimum Care Package (MCP) interventions in 290 hospitals in Ethiopia, prioritizing preterm and low-birth-weight newborns. Methods: From June 2021 to May 2024, we conducted a pragmatic before-and-after evaluation within the planned non-randomized stepped-wedge implementation study, including 290 hospitals in four regions of Ethiopia. We selected 36 primary hospitals as evaluation sites to compare neonatal mortality rate (NMR) before and after the implementation of the SLL program. The implementation occurred in three phases, with Regional Health Bureaus (RHBs) purposively selecting SLL-supported hospitals. The SLL MCP interventions consisted of strengthening care at the labor and delivery (LD) unit, including preparation for birth and essential newborn care components, including resuscitation for asphyxiated newborns, CPAP initiation at birth when indicated, and safe referral of small and sick neonates. At the Neonatal Intensive Care Unit (NICU), interventions included CPAP for respiratory distress syndrome, sepsis management, thermal care, and feeding management. At the Kangaroo Mother Care (KMC) Unit, interventions included skin-to-skin care and exclusive breastfeeding for preterm or LBW newborns. We strengthened care through hands-on training, mentoring, provision of essential equipment and devices, and infrastructure improvements. After addressing missing values using multiple imputations, we applied descriptive statistics to estimate the neonatal mortality rate (NMR), defined as the 28-day mortality among newborns born in or admitted to participating primary hospitals per 1000 live births, before and after the SLL MCP implementation, and a mixed-effects logistic regression model to estimate the pooled mean predicted probability of mortality before and after the program’s implementation. Results: We recorded 63,624 live births across the 36 evaluation hospitals; 59,086 (92.9%) were inborn (born in the same hospital), and 4538 (7.1%) were outborn (born elsewhere and admitted to the evaluation hospitals). We excluded 31,839 live births (50.0%) (all live births from 16 of the 36 hospitals) from the final analysis because they lacked observations in the pre- or post-intervention period. In nine hospitals, the Ministry of Health (MoH) and RHBs initiated the interventions before baseline measurements were taken. In three hospitals in Tigray, the war in the region suspended implementation and evaluation activities, leading to missing baseline evaluation data. Post-intervention data could not be collected at two hospitals in Amhara due to armed conflict, and at two hospitals in the Southern Nations, Nationalities, and Peoples (SNNP) region because research staff left the team. The predicted neonatal mortality rate using data from 20 primary hospitals with 31,785 mother-baby dyads was significantly reduced from 42.9 (95% CI: 34.2–51.6) per 1000 live births during the pre-intervention period to 30.2 (95% CI: 24.2–36.5) per 1000 live births during the post-intervention period (adjusted relative risk of 0.71; 95% CI: 0.58–0.84), showing a 29% reduction in neonatal mortality. Conclusions: The SLL program implemented a large-scale and complex package of interventions in a resource-limited setting and was associated with a significant reduction in neonatal mortality.

Authors

Institutions

Publication Details

Journal
Children
Published
2026-11-11
DOI
https://doi.org/10.3390/children13111565
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Evaluation of the Saving Little Lives Program Scale-Up: Implementation of an Evidence-Based Minimum Care Package for Preterm and Low-Birth-Weight Newborns in Ethiopia

Lamesgin Alamineh Endalamaw, Siren Rettedal, Abebech Demissie Aredo, Tiyese Jean Chimuna et al.
Children
Global Maternal and Child Health
article

Evaluation of the Saving Little Lives Program Scale-Up: Implementation of an Evidence-Based Minimum Care Package for Preterm and Low-Birth-Weight Newborns in Ethiopia

Lamesgin Alamineh Endalamaw, Siren Rettedal, Abebech Demissie Aredo, Tiyese Jean Chimuna, Kehabtimer Shiferaw Kotiso, Akalewold Alemayehu, Mekdes Shifeta, Samson Yohannes Amare, Abiy Seifu Estifanos, Yayeh Negash, Araya Abrha Medhanyie, Damen Hailemariam, Dereje Duguma, Gurmesa Tura Debelew, Znabu Hadush Kahsay, Berhan Tassew Woldehana, Abebe Gebremaraim Gobezayehu, Meles Solomon Mehari
article en

Abstract

Background: In 2019, Ethiopia’s neonatal mortality rate was 33 deaths per 1000 live births, far from the Sustainable Development Goal 3.2 of 12 or fewer deaths per 1000 live births by 2030. With funding from the Global Financing Facility, the Ministry of Health designed the Saving Little Lives (SLL) program in collaboration with local universities to address the gap. The SLL program aimed to decrease 28-day neonatal mortality by 35% by implementing evidence-based Minimum Care Package (MCP) interventions in 290 hospitals in Ethiopia, prioritizing preterm and low-birth-weight newborns. Methods: From June 2021 to May 2024, we conducted a pragmatic before-and-after evaluation within the planned non-randomized stepped-wedge implementation study, including 290 hospitals in four regions of Ethiopia. We selected 36 primary hospitals as evaluation sites to compare neonatal mortality rate (NMR) before and after the implementation of the SLL program. The implementation occurred in three phases, with Regional Health Bureaus (RHBs) purposively selecting SLL-supported hospitals. The SLL MCP interventions consisted of strengthening care at the labor and delivery (LD) unit, including preparation for birth and essential newborn care components, including resuscitation for asphyxiated newborns, CPAP initiation at birth when indicated, and safe referral of small and sick neonates. At the Neonatal Intensive Care Unit (NICU), interventions included CPAP for respiratory distress syndrome, sepsis management, thermal care, and feeding management. At the Kangaroo Mother Care (KMC) Unit, interventions included skin-to-skin care and exclusive breastfeeding for preterm or LBW newborns. We strengthened care through hands-on training, mentoring, provision of essential equipment and devices, and infrastructure improvements. After addressing missing values using multiple imputations, we applied descriptive statistics to estimate the neonatal mortality rate (NMR), defined as the 28-day mortality among newborns born in or admitted to participating primary hospitals per 1000 live births, before and after the SLL MCP implementation, and a mixed-effects logistic regression model to estimate the pooled mean predicted probability of mortality before and after the program’s implementation. Results: We recorded 63,624 live births across the 36 evaluation hospitals; 59,086 (92.9%) were inborn (born in the same hospital), and 4538 (7.1%) were outborn (born elsewhere and admitted to the evaluation hospitals). We excluded 31,839 live births (50.0%) (all live births from 16 of the 36 hospitals) from the final analysis because they lacked observations in the pre- or post-intervention period. In nine hospitals, the Ministry of Health (MoH) and RHBs initiated the interventions before baseline measurements were taken. In three hospitals in Tigray, the war in the region suspended implementation and evaluation activities, leading to missing baseline evaluation data. Post-intervention data could not be collected at two hospitals in Amhara due to armed conflict, and at two hospitals in the Southern Nations, Nationalities, and Peoples (SNNP) region because research staff left the team. The predicted neonatal mortality rate using data from 20 primary hospitals with 31,785 mother-baby dyads was significantly reduced from 42.9 (95% CI: 34.2–51.6) per 1000 live births during the pre-intervention period to 30.2 (95% CI: 24.2–36.5) per 1000 live births during the post-intervention period (adjusted relative risk of 0.71; 95% CI: 0.58–0.84), showing a 29% reduction in neonatal mortality. Conclusions: The SLL program implemented a large-scale and complex package of interventions in a resource-limited setting and was associated with a significant reduction in neonatal mortality.

ChildrenVol. 13(11)
United Nations Children's Fund (US), Emory University (US), Hawassa University (ET), Stavanger University Hospital (NO), Federal Ministry of Health (ET), Addis Ababa University (ET), Mekelle University (ET), University of Stavanger (NO)
Global Maternal and Child Health
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.

Laika access coming soon