Evidence map›Paper›PMID 38475761›Full record

ArticleBMC pediatrics2024

Quantifying health facility service readiness for small and sick newborn care: comparing standards-based and WHO level-2 + scoring for 64 hospitals implementing with NEST360 in Kenya, Malawi, Nigeria, and Tanzania.

Rebecca E Penzias, Christine Bohne, Edith Gicheha, Elizabeth M Molyneux, David Gathara, Samuel K Ngwala, Evelyn Zimba, Ekran Rashid, Opeyemi Odedere, Olabisi Dosunmu and 24 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

34 authors at 16 institutions in 6 countries.

Rebecca E Penzias *Maternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK. rebecca.penzias@lshtm.ac.uk.
Christine Bohne *Rice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Edith GichehaRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Elizabeth M MolyneuxKamuzu University of Health Sciences (Formerly College of Medicine, University of Malawi), Blantyre, Malawi.
David GatharaMaternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Samuel K NgwalaKamuzu University of Health Sciences (Formerly College of Medicine, University of Malawi), Blantyre, Malawi.
Evelyn ZimbaRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Ekran RashidRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Opeyemi OdedereRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Olabisi DosunmuAPIN Public Health Initiatives, Abuja, Nigeria.
Robert TillyaIfakara Health Institute, Ifakara, Tanzania.
Josephine ShabaniIfakara Health Institute, Ifakara, Tanzania.
James H CrossMaternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Christian OchiengMaternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Harriet H WebsterMaternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Msandeni ChiumeKamuzu University of Health Sciences (Formerly College of Medicine, University of Malawi), Blantyre, Malawi.
Queen DubeMinistry of Health, Lilongwe, Malawi.
John WainainaKenya Medical Research Institute (KEMRI)-Wellcome Trust, Nairobi, Kenya.
Irabi KassimIfakara Health Institute, Ifakara, Tanzania.
Grace IrimuDepartment of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya.
Steve AdudansAcademy for Novel Channels in Health and Operations Research (ACANOVA) Africa, Nairobi, Kenya.
Femi JamesNewborn Branch, Federal Ministry of Health, Abuja, Nigeria.
Olukemi TongoDepartment of Paediatrics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Veronica Chinyere EzeakaDepartment of Paediatrics, College of Medicine, University of Lagos, Lagos, Nigeria.
Nahya SalimDepartment of Paediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Honorati MasanjaIfakara Health Institute, Ifakara, Tanzania.
Maria OdenRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Rebecca Richards-KortumRice360 Institute for Global Health Technologies, Rice University, Texas, USA.
Tedbabe HailegabrielProgram Group, Health Programme UNICEF Headquarters, New York, NY, USA.
Gagan GuptaProgram Group, Health Programme UNICEF Headquarters, New York, NY, USA.
Simon CousensMaternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Joy E Lawn *Maternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Eric O Ohuma *Maternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
with the Health Facility Assessment Data Collection Learning Collaborative Group
Collaborative Group (United States) · USLondon School of Hygiene & Tropical Medicine · GBIfakara Health Institute · TZRice University · USUniversity of Malawi · MWAIDS Prevention Initiative in Nigeria · NGUnited Nations Children's Fund · USAga Khan University Hospital Nairobi · KEFederal Ministry of Health · NGKamuzu Central Hospital · MWKenya Medical Research Institute · KEMinistry of Health · MWMuhimbili University of Health and Allied Sciences · TZUniversity of Ibadan · NGUniversity of Lagos · NGUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundService readiness tools are important for assessing hospital capacity to provide quality small and sick newborn care (SSNC). Lack of summary scoring approaches for SSNC service readiness means we are unable to track national targets such as the Every Newborn Action Plan targets.

methodsA health facility assessment (HFA) tool was co-designed by Newborn Essential Solutions and Technologies (NEST360) and UNICEF with four African governments. Data were collected in 68 NEST360-implementing neonatal units in Kenya, Malawi, Nigeria, and Tanzania (September 2019-March 2021). Two summary scoring approaches were developed: a) standards-based, including items for SSNC service readiness by health system building block (HSBB), and scored on availability and functionality, and b) level-2 + , scoring items on readiness to provide WHO level-2 + clinical interventions. For each scoring approach, scores were aggregated and summarised as a percentage and equally weighted to obtain an overall score by hospital, HSBB, and clinical intervention.

resultsOf 1508 HFA items, 1043 (69%) were included in standards-based and 309 (20%) in level-2 + scoring. Sixty-eight neonatal units across four countries had median standards-based scores of 51% [IQR 48-57%] at baseline, with variation by country: 62% [IQR 59-66%] in Kenya, 49% [IQR 46-51%] in Malawi, 50% [IQR 42-58%] in Nigeria, and 55% [IQR 53-62%] in Tanzania. The lowest scoring was family-centred care [27%, IQR 18-40%] with governance highest scoring [76%, IQR 71-82%]. For level-2 + scores, the overall median score was 41% [IQR 35-51%] with variation by country: 50% [IQR 44-53%] in Kenya, 41% [IQR 35-50%] in Malawi, 33% [IQR 27-37%] in Nigeria, and 41% [IQR 32-52%] in Tanzania. Readiness to provide antibiotics by culture report was the highest-scoring intervention [58%, IQR 50-75%] and neonatal encephalopathy management was the lowest-scoring [21%, IQR 8-42%]. In both methods, overall scores were low (< 50%) for 27 neonatal units in standards-based scoring and 48 neonatal units in level-2 + scoring. No neonatal unit achieved high scores of > 75%. DISCUSSION: Two scoring approaches reveal gaps in SSNC readiness with no neonatal units achieving high scores (> 75%). Government-led quality improvement teams can use these summary scores to identify areas for health systems change. Future analyses could determine which items are most directly linked with quality SSNC and newborn outcomes.

Indexed as

Health FacilitiesHospitalsHumansInfant, NewbornKenyaMalawiNigeriaTanzaniaWorld Health OrganizationENAP coverage targetsHealth facility assessmentHealth systems scoringInpatient careLow- and middle-income countriesNewbornService readinessSmall and sick newborn care

Identifiers

PMID38475761
PMCPMC10935770
OpenAlexW4392717595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.