UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Establishing a composite neonatal adverse outcome indicator using English hospital administrative data

Knight, HE; Oddie, SJ; Harron, KL; Aughey, HK; Van der Meulen, JH; Gurol-Urganci, I; Cromwell, DA; (2018) Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Archives of Disease in Childhood: Fetal & Neonatal 10.1136/archdischild-2018-315147. (In press). Green open access

[thumbnail of Knight 2019. Establishing a composite neonatal adverse outcome indicator.pdf]
Preview
Text
Knight 2019. Establishing a composite neonatal adverse outcome indicator.pdf - Published Version

Download (571kB) | Preview

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.

Type: Article
Title: Establishing a composite neonatal adverse outcome indicator using English hospital administrative data
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/archdischild-2018-315147
Publisher version: https://doi.org/10.1136/archdischild-2018-315147
Language: English
Additional information: Copyright © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Keywords: administrative data, international classification of diseases, neonatal morbidity, outcome measure
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10068382
Downloads since deposit
80Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item