TY - JOUR
T1 - Small and sick newborn care
T2 - Changes in service readiness scoring between baseline and 2023 for 65 neonatal units implementing with NEST360 in Kenya, Malawi, Nigeria, and Tanzania
AU - Penzias, Rebecca E.
AU - Ogero, Morris Ondieki
AU - Tillya, Robert
AU - Kassim, Irabi
AU - Dosunmu, Olabisi
AU - Odedere, Opeyemi
AU - Mwaniki, Hannah
AU - Ochieng, Vincent O.
AU - Mochache, Dolphine
AU - Ngwala, Samuel K.
AU - Zimba, Evelyn
AU - Soko, Grace T.
AU - Bohne, Christine
AU - Gathara, David
AU - Cross, James H.
AU - Shabani, Josephine
AU - Paul, Catherine
AU - Shamba, Donat
AU - Masanja, Honorati
AU - Salim, Nahya
AU - Osuagwu, Charles
AU - Idowu, Afeez
AU - Ogueji, Ifeanyichukwu Anthony
AU - Tongo, Olukemi
AU - Ogunsola, Olabanjo Okunlola
AU - Ezeaka, Veronica Chinyere
AU - Rashid, Ekran
AU - Okello, George
AU - Wainaina, John
AU - Macharia, William M.
AU - Chiume, Msandeni
AU - Chalira, Alfred
AU - Dube, Queen
AU - Gicheha, Edith
AU - Molyneux, Elizabeth M.
AU - Alooh, Millicent
AU - Cousens, Simon
AU - Oden, Maria
AU - Richards-Kortum, Rebecca
AU - Lawn, Joy E.
AU - Ohuma, Eric O.
N1 - Publisher Copyright:
© 2025 Penzias et al.
PY - 2025/6
Y1 - 2025/6
N2 - Health Facility Assessments (HFAs) are important for measuring and tracking service readiness for small and sick newborn care (SSNC). NEST360 Alliance aims to reduce neonatal mortality in four countries (Kenya, Malawi, Nigeria, Tanzania). NEST360 and UNICEF facilitated HFA tool design with ministries of health in four African countries and developed two complimentary approaches to summarise readiness. Using the NEST360/UNICEF HFA tool, we collected data, developed two service readiness scoring approaches for SSNC (standards-based scoring by adapted World Health Organization (WHO) health system building blocks (HSBBs) and assessing service readiness across the health system, and level-2+ scoring by WHO clinical interventions), and applied across 65 neonatal units implementing NEST360. Service readiness change was assessed between baseline (Sept 2019-March 2021) and follow-up HFA (May-July 2023). For each neonatal unit, a percentage difference score was computed between baseline and 2023 HFA scores. Scores were calculated for each neonatal unit as the unit of analysis, and disaggregated by HSBB, clinical intervention, and sub-modules. Data from 65 neonatal units were analysed, i.e., 36 in Malawi, 13 in Kenya, 7 in Tanzania, and 9 in Nigeria. Median time between baseline and 2023 HFAs was 31 months [IQR 29–34 months]. Median baseline and 2023 scores were 41% [IQR 35–52%] and 55% [IQR 46–62%] respectively with 14% median score change [IQR 4–18%] for level-2+ scores. For standards-based scores, median baseline and 2023 scores were 51% [IQR 48–58%] and 60% [IQR 54–66%] respectively with a 9% median score change [IQR 3–11%]. Hospitals in Tanzania [Median 24%, IQR 16–30%] and Nigeria [Median 28%, IQR 17–30%] showed greater improvements on average for level-2+ scores compared to hospitals in Kenya and Tanzania. Data on changes in service readiness scores can be used to track service readiness over time, benchmark between hospitals, identify gaps, and assess progress towards newborn targets.
AB - Health Facility Assessments (HFAs) are important for measuring and tracking service readiness for small and sick newborn care (SSNC). NEST360 Alliance aims to reduce neonatal mortality in four countries (Kenya, Malawi, Nigeria, Tanzania). NEST360 and UNICEF facilitated HFA tool design with ministries of health in four African countries and developed two complimentary approaches to summarise readiness. Using the NEST360/UNICEF HFA tool, we collected data, developed two service readiness scoring approaches for SSNC (standards-based scoring by adapted World Health Organization (WHO) health system building blocks (HSBBs) and assessing service readiness across the health system, and level-2+ scoring by WHO clinical interventions), and applied across 65 neonatal units implementing NEST360. Service readiness change was assessed between baseline (Sept 2019-March 2021) and follow-up HFA (May-July 2023). For each neonatal unit, a percentage difference score was computed between baseline and 2023 HFA scores. Scores were calculated for each neonatal unit as the unit of analysis, and disaggregated by HSBB, clinical intervention, and sub-modules. Data from 65 neonatal units were analysed, i.e., 36 in Malawi, 13 in Kenya, 7 in Tanzania, and 9 in Nigeria. Median time between baseline and 2023 HFAs was 31 months [IQR 29–34 months]. Median baseline and 2023 scores were 41% [IQR 35–52%] and 55% [IQR 46–62%] respectively with 14% median score change [IQR 4–18%] for level-2+ scores. For standards-based scores, median baseline and 2023 scores were 51% [IQR 48–58%] and 60% [IQR 54–66%] respectively with a 9% median score change [IQR 3–11%]. Hospitals in Tanzania [Median 24%, IQR 16–30%] and Nigeria [Median 28%, IQR 17–30%] showed greater improvements on average for level-2+ scores compared to hospitals in Kenya and Tanzania. Data on changes in service readiness scores can be used to track service readiness over time, benchmark between hospitals, identify gaps, and assess progress towards newborn targets.
UR - https://www.scopus.com/pages/publications/105009138885
U2 - 10.1371/journal.pgph.0004367
DO - 10.1371/journal.pgph.0004367
M3 - Article
AN - SCOPUS:105009138885
SN - 2767-3375
VL - 5
JO - PLOS Global Public Health
JF - PLOS Global Public Health
IS - 6 June
M1 - e0004367
ER -