Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: systematic development and multi-country operationalisation with NEST360

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dc.citation.articleNumber567
dc.citation.issueNumberSuppl 2
dc.citation.journalTitleBMC Pediatrics
dc.citation.volumeNumber23
dc.contributor.authorCross, James H.
dc.contributor.authorBohne, Christine
dc.contributor.authorNgwala, Samuel K.
dc.contributor.authorShabani, Josephine
dc.contributor.authorWainaina, John
dc.contributor.authorDosunmu, Olabisi
dc.contributor.authorKassim, Irabi
dc.contributor.authorPenzias, Rebecca E.
dc.contributor.authorTillya, Robert
dc.contributor.authorGathara, David
dc.contributor.authorZimba, Evelyn
dc.contributor.authorEzeaka, Veronica Chinyere
dc.contributor.authorOdedere, Opeyemi
dc.contributor.authorChiume, Msandeni
dc.contributor.authorSalim, Nahya
dc.contributor.authorKawaza, Kondwani
dc.contributor.authorLufesi, Norman
dc.contributor.authorIrimu, Grace
dc.contributor.authorTongo, Olukemi O.
dc.contributor.authorMalla, Lucas
dc.contributor.authorPaton, Chris
dc.contributor.authorDay, Louise T.
dc.contributor.authorOden, Maria
dc.contributor.authorRichards-Kortum, Rebecca
dc.contributor.authorMolyneux, Elizabeth M.
dc.contributor.authorOhuma, Eric O.
dc.contributor.authorLawn, Joy E.
dc.contributor.authorAsibon, Aba
dc.contributor.authorAdudans, Steve
dc.contributor.authorOtiangala, Dickson
dc.contributor.authorMchoma, Christina
dc.contributor.authorYosefe, Simeon
dc.contributor.authorBalogun, Adeleke
dc.contributor.authorOmoke, Sylvia
dc.contributor.authorRashid, Ekran
dc.contributor.authorMasanja, Honorati
dc.contributor.authorEnglish, Mike
dc.contributor.authorHagel, Christiane
dc.contributor.authorwith NEST360 Neonatal Inpatient Dataset Learning Group
dc.contributor.orgRice360 Institute for Global Health Technologies
dc.date.accessioned2024-05-03T15:51:16Z
dc.date.available2024-05-03T15:51:16Z
dc.date.issued2023
dc.description.abstractEvery Newborn Action Plan (ENAP) coverage target 4 necessitates national scale-up of Level-2 Small and Sick Newborn Care (SSNC) (with Continuous Positive Airway Pressure (CPAP)) in 80% of districts by 2025. Routine neonatal inpatient data is important for improving quality of care, targeting equity gaps, and enabling data-driven decision-making at individual, district, and national-levels. Existing neonatal inpatient datasets vary in purpose, size, definitions, and collection processes. We describe the co-design and operationalisation of a core inpatient dataset for use to track outcomes and improve quality of care for small and sick newborns in high-mortality settings.
dc.identifier.citationCross, J. H., Bohne, C., Ngwala, S. K., Shabani, J., Wainaina, J., Dosunmu, O., Kassim, I., Penzias, R. E., Tillya, R., Gathara, D., Zimba, E., Ezeaka, V. C., Odedere, O., Chiume, M., Salim, N., Kawaza, K., Lufesi, N., Irimu, G., Tongo, O. O., … with NEST360 Neonatal Inpatient Dataset Learning Group. (2023). Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: Systematic development and multi-country operationalisation with NEST360. BMC Pediatrics, 23(2), 567. https://doi.org/10.1186/s12887-023-04341-2
dc.identifier.digitals12887-023-04341-2
dc.identifier.doihttps://doi.org/10.1186/s12887-023-04341-2
dc.identifier.urihttps://hdl.handle.net/1911/115595
dc.language.isoeng
dc.publisherSpringer Nature
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleNeonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: systematic development and multi-country operationalisation with NEST360
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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