Altmetric

A systematic review of administrative and clinical databases of infants admitted to neonatal units

File Description SizeFormat 
REVISION Systematic Review of neonatal databases v3.1docx.docxAccepted version178.66 kBMicrosoft WordView/Open
Figure 1. Flowchart of the search strategy used in the review .jpegSupporting information220.25 kBJPEGView/Open
Systematic Review of neonatal databases Appendix 1 vs2.9.docxSupporting information19.15 kBMicrosoft WordView/Open
Systematic Review of neonatal databases Appendix 2 v2.9.docxSupporting information169.39 kBMicrosoft WordView/Open
Title: A systematic review of administrative and clinical databases of infants admitted to neonatal units
Authors: Statnikov, Y
Ibrahim, B
Modi, N
Item Type: Journal Article
Abstract: Objectives: High quality information, increasingly captured in clinical databases, is a useful resource for evaluating and improving newborn care. We conducted a systematic review to identify neonatal databases, and define their characteristics. Methods We followed a preregistered protocol using MesH terms to search MEDLINE, EMBASE, CINAHL, Web of Science and OVID Maternity and Infant Care Databases for articles identifying patient level databases covering more than one neonatal unit. Full-text articles were reviewed and information extracted on geographic coverage, criteria for inclusion, data source, and maternal and infant characteristics. Results We identified 82 databases from 2,037 publications. Of the country specific databases there were 39 regional and 39 national. Sixty databases restricted entries to neonatal unit admissions by birth characteristic or insurance cover; 22 had no restrictions. Data were captured specifically for 53 databases; 21 administrative sources; 8 clinical sources. Two clinical databases hold the largest range of data on patient characteristics, USA’s Pediatrix BabySteps Clinical Data Warehouse and UK’s National Neonatal Research Database. Conclusion A number of neonatal databases exist that have potential to contribute to evaluating neonatal care. The majority are created by entering data specifically for the database, duplicating information likely already captured in other administrative and clinical patient records. This repetitive data entry represents an unnecessary burden in an environment where electronic patient records are increasingly used. Standardisation of data items is necessary to facilitate linkage within and between countries.
Issue Date: 19-Apr-2017
Date of Acceptance: 30-Nov-2016
URI: http://hdl.handle.net/10044/1/43251
DOI: https://dx.doi.org/10.1136/archdischild-2016-312010
ISSN: 1468-2052
Publisher: BMJ Publishing Group
Start Page: F270
End Page: F276
Journal / Book Title: Archives of Disease in Childhood-Fetal and Neonatal Edition
Volume: 102
Copyright Statement: © 2017 The Authors. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Sponsor/Funder: National Institute for Health Research
Funder's Grant Number: N/A
Keywords: Science & Technology
Life Sciences & Biomedicine
Pediatrics
BIRTH-WEIGHT INFANTS
INTENSIVE-CARE UNITS
GESTATIONAL DIABETES-MELLITUS
EARLY-TERM BIRTH
PRETERM BIRTH
HEALTH-CARE
PERINATAL OUTCOMES
CESAREAN-SECTION
RISK-FACTORS
NECROTIZING ENTEROCOLITIS
database
electronic health records
infant
international
neonatal unit
Birth Weight
Databases, Factual
Electronic Health Records
Female
Gestational Age
Hospitalization
Humans
Infant, Newborn
Intensive Care Units, Neonatal
Mothers
Patient Admission
Sex Factors
1114 Paediatrics And Reproductive Medicine
Publication Status: Published
Appears in Collections:Department of Medicine
Faculty of Medicine



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons