Browsing by Author "Kassim, Irabi"
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Item Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: systematic development and multi-country operationalisation with NEST360(Springer Nature, 2023) Cross, James H.; Bohne, Christine; Ngwala, Samuel K.; Shabani, Josephine; Wainaina, John; Dosunmu, Olabisi; Kassim, Irabi; Penzias, Rebecca E.; Tillya, Robert; Gathara, David; Zimba, Evelyn; Ezeaka, Veronica Chinyere; Odedere, Opeyemi; Chiume, Msandeni; Salim, Nahya; Kawaza, Kondwani; Lufesi, Norman; Irimu, Grace; Tongo, Olukemi O.; Malla, Lucas; Paton, Chris; Day, Louise T.; Oden, Maria; Richards-Kortum, Rebecca; Molyneux, Elizabeth M.; Ohuma, Eric O.; Lawn, Joy E.; Asibon, Aba; Adudans, Steve; Otiangala, Dickson; Mchoma, Christina; Yosefe, Simeon; Balogun, Adeleke; Omoke, Sylvia; Rashid, Ekran; Masanja, Honorati; English, Mike; Hagel, Christiane; with NEST360 Neonatal Inpatient Dataset Learning Group; Rice360 Institute for Global Health TechnologiesEvery 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.