Evidence map›Paper›PMID 30487299›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2019

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

Hannah Ellin Knight, Sam J Oddie, Katie L Harron, Harriet K Aughey, Jan H van der Meulen, Ipek Gurol-Urganci, David A Cromwell

Abstract read
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  11. Morbidity and mortality of newborns born to immigrant and nonimmigrant females residing in low-income neighbourhoods.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hannah Ellin KnightHealth Services Research and Policy, London School of Hygiene & Tropical Medicine Faculty of Public Health and Policy, London, UK.
Sam J OddieBradford Neonatology, Bradford Royal Infirmary, West Yorkshire, UK.
Katie L HarronUCL Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-3418-2856
Harriet K AugheyLindsay Stewart Centre for Audit and Clinical Informatics, Royal College of Obstetricians and Gynaecologists, London, UK.
Jan H van der MeulenHealth Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Ipek Gurol-UrganciHealth Services Research and Policy, London School of Hygiene & Tropical Medicine Faculty of Public Health and Policy, London, UK.
David A CromwellHealth Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.

Funding

Wellcome Trust 103975
6 · The paper itself

Abstract

objectiveWe 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.

designWe 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.

resultsThe 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.

conclusionsA 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.

Indexed as

Infant MortalityInfant, Newborn, DiseasesPatient ReadmissionEnglandFemaleHospitalizationHumansInfantInfant, NewbornMaleOutcome Assessment, Health CarePredictive Value of TestsPregnancyPregnancy OutcomeQuality Indicators, Health CareReproducibility of Resultsadministrative datainternational classification of diseasesneonatal morbidityoutcome measure

Identifiers

PMID30487299
PMCPMC6703994

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.