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

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  • Additional Information
    • Source:
      Publisher: British Medical Association Country of Publication: England NLM ID: 9501297 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-2052 (Electronic) Linking ISSN: 13592998 NLM ISO Abbreviation: Arch. Dis. Child. Fetal Neonatal Ed. Subsets: Core Clinical (AIM); MEDLINE
    • Publication Information:
      Original Publication: London : British Medical Association,
    • Subject Terms:
    • 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.
      (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
    • Grant Information:
      103975 United Kingdom Wellcome Trust
    • Contributed Indexing:
      Keywords: administrative data; international classification of diseases; neonatal morbidity; outcome measure
    • Publication Date:
      Date Created: 20181130 Date Completed: 20190827 Latest Revision: 20191008
    • Publication Date:
      20191009
    • Accession Number:
      10.1136/archdischild-2018-315147
    • Accession Number:
      30487299
  • Citations
    • ABNT:
      KNIGHT, H. E. et al. Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Archives Of Disease In Childhood. Fetal And Neonatal Edition, [s. l.], v. 104, n. 5, p. F502–F509, 2019. Disponível em: . Acesso em: 17 out. 2019.
    • AMA:
      Knight HE, Oddie SJ, Harron KL, et al. Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Archives Of Disease In Childhood Fetal And Neonatal Edition. 2019;104(5):F502-F509. doi:10.1136/archdischild-2018-315147.
    • APA:
      Knight, H. E., Oddie, S. J., Harron, K. L., Aughey, H. K., van der Meulen, J. H., Gurol-Urganci, I., & Cromwell, D. A. (2019). Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Archives Of Disease In Childhood. Fetal And Neonatal Edition, 104(5), F502–F509. https://doi.org/10.1136/archdischild-2018-315147
    • Chicago/Turabian: Author-Date:
      Knight, Hannah Ellin, Sam J Oddie, Katie L Harron, Harriet K Aughey, Jan H van der Meulen, Ipek Gurol-Urganci, and David A Cromwell. 2019. “Establishing a Composite Neonatal Adverse Outcome Indicator Using English Hospital Administrative Data.” Archives Of Disease In Childhood. Fetal And Neonatal Edition 104 (5): F502–9. doi:10.1136/archdischild-2018-315147.
    • Harvard:
      Knight, H. E. et al. (2019) ‘Establishing a composite neonatal adverse outcome indicator using English hospital administrative data’, Archives Of Disease In Childhood. Fetal And Neonatal Edition, 104(5), pp. F502–F509. doi: 10.1136/archdischild-2018-315147.
    • Harvard: Australian:
      Knight, HE, Oddie, SJ, Harron, KL, Aughey, HK, van der Meulen, JH, Gurol-Urganci, I & Cromwell, DA 2019, ‘Establishing a composite neonatal adverse outcome indicator using English hospital administrative data’, Archives Of Disease In Childhood. Fetal And Neonatal Edition, vol. 104, no. 5, pp. F502–F509, viewed 17 October 2019, .
    • MLA:
      Knight, Hannah Ellin, et al. “Establishing a Composite Neonatal Adverse Outcome Indicator Using English Hospital Administrative Data.” Archives Of Disease In Childhood. Fetal And Neonatal Edition, vol. 104, no. 5, Sept. 2019, pp. F502–F509. EBSCOhost, doi:10.1136/archdischild-2018-315147.
    • Chicago/Turabian: Humanities:
      Knight, Hannah Ellin, Sam J Oddie, Katie L Harron, Harriet K Aughey, Jan H van der Meulen, Ipek Gurol-Urganci, and David A Cromwell. “Establishing a Composite Neonatal Adverse Outcome Indicator Using English Hospital Administrative Data.” Archives Of Disease In Childhood. Fetal And Neonatal Edition 104, no. 5 (September 2019): F502–9. doi:10.1136/archdischild-2018-315147.
    • Vancouver/ICMJE:
      Knight HE, Oddie SJ, Harron KL, Aughey HK, van der Meulen JH, Gurol-Urganci I, et al. Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Archives Of Disease In Childhood Fetal And Neonatal Edition [Internet]. 2019 Sep [cited 2019 Oct 17];104(5):F502–9. Available from: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=30487299&authtype=sso&custid=s5834912