Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Issue 5 (28th September 2019)

• Record Type: Journal Article
• Authors: Knight, Hannah Ellin; Oddie, Sam J; Harron, Katie L; Aughey, Harriet K; van der Meulen, Jan H; Gurol-Urganci, Ipek; Cromwell, David A
• Is Part Of: Archives of disease in childhood. Volume 104:Issue 5(2019)
• Page Start: F502
• Publication Date: 2019-09-28
• Subjects: neonatal morbidity -- outcome measure -- administrative data -- international classification of diseases; Infants -- Diseases -- Periodicals; Newborn infants -- Diseases -- Periodicals; Fetus -- Diseases -- Periodicals; 618.920105
• DOI: 10.1136/archdischild-2018-315147
• Languages: English
• ISSNs: 1359-2998

Abstract

Abstract : Objective: We adapted a composite neonatal adverse outcome indicator (NAOI), originally derived in Australia, and assessed its feasibility and validity as an outcome indicator in English administrative hospital data. Design: We used Hospital Episode Statistics (HES) data containing information infants born in the English National Health Service (NHS) between 1 April 2014 and 31 March 2015. The Australian NAOI was mapped to diagnoses and procedure codes used within HES and modified to reflect data quality and neonatal health concerns in England. To investigate the concurrent validity of the English NAOI (E-NAOI), rates of NAOI components were compared with population-based studies. To investigate the predictive validity of the E-NAOI, rates of readmission and death in the first year of life were calculated for infants with and without E-NAOI components. Results: The analysis included 484 007 (81%) of the 600 963 eligible babies born during the timeframe. 114/148 NHS trusts passed data quality checks and were included in the analysis. The modified E-NAOI included 23 components (16 diagnoses and 7 procedures). Among liveborn infants, 5.4% had at least one E-NAOI component recorded before discharge. Among newborns discharged alive, the E-NAOI was associated with a significantly higher risk of death (0.81% vs 0.05%; p<0.001) and overnight hospital readmission (15.7% vs 7.1%; p<0.001) in the first year of life. Conclusions: A composite NAOI can be derived from English hospital administrative data. This E-NAOI demonstrates good concurrent and predictive validity in the first year of life. It is a cost-effective way to monitor neonatal outcomes.