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

• Váldodahkkit: James H. Cross (Dahkki), Christine Bohne (Dahkki), Samuel K. Ngwala (Dahkki), Josephine Shabani (Dahkki), John Wainaina (Dahkki), Olabisi Dosunmu (Dahkki), Irabi Kassim (Dahkki), Rebecca E. Penzias (Dahkki), Robert Tillya (Dahkki), David Gathara (Dahkki), Evelyn Zimba (Dahkki), Veronica Chinyere Ezeaka (Dahkki), Opeyemi Odedere (Dahkki), Msandeni Chiume (Dahkki), Nahya Salim (Dahkki), Kondwani Kawaza (Dahkki), Norman Lufesi (Dahkki), Grace Irimu (Dahkki), Olukemi O. Tongo (Dahkki), Lucas Malla (Dahkki), Chris Paton (Dahkki), Louise T. Day (Dahkki), Maria Oden (Dahkki), Rebecca Richards-Kortum (Dahkki), Elizabeth M. Molyneux (Dahkki), Eric O. Ohuma (Dahkki), Joy E. Lawn (Dahkki), with NEST360 Neonatal Inpatient Dataset Learning Group (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: BMC, 2023-11-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

Abstract Background 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 car...