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

Every 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.

Type

Journal article

Citation

Cross, 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

Published Version

https://doi.org/10.1186/s12887-023-04341-2

Rights

Except 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.