Internal Audit of the Canadian Neonatal Network Data Collection System

American Journal of Perinatology

Volumn 34, Issue 12, 2017, Pages 1241-1249

  Shah, Prakesh S ^a,b   Seidlitz, Wendy ^c   Chan, Priscilla ^a   Yeh, Sonny ^a   Musrap, Natasha ^a   Lee, Shoo K ^a,b  

^a MOUNT SINAI HOSPITAL   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c MCMASTER CHILDREN S HOSPITAL   (Canada)

Author keywords

audit; benchmarking; database; neonatal network

Indexed keywords

ARTICLE; CANADA; CLINICAL AUDIT; DATA BASE; DATA EXTRACTION; HUMAN; MEASUREMENT ACCURACY; PRIORITY JOURNAL; BENCHMARKING; CLASSIFICATION; FACTUAL DATABASE; INFORMATION PROCESSING; NEWBORN; PERINATAL CARE; STANDARDS; VALIDATION STUDY;

BENCHMARKING; CANADA; CLINICAL AUDIT; DATA COLLECTION; DATABASES, FACTUAL; HUMANS; INFANT, NEWBORN; PERINATAL CARE;

EID: 85019180487     PISSN: 07351631     EISSN: 10988785     Source Type: Journal    
DOI: 10.1055/s-0037-1603325     Document Type: Article

References (19)

1. Slagle T. A. Gould J. B. Database use in neonatal intensive care units: success or failure. Pediatrics: 1992; 90 06 959 970
2. Shah V. Warre R. Lee S. K. Quality improvement initiatives in neonatal intensive care unit networks: achievements and challenges. Acad Pediatr: 2013; 13 (6, Suppl): S75 S83
3. Shah P. S. Lui K. Sjörs G., et al. International Network for Evaluating Outcomes (iNeo) of Neonates. Neonatal outcomes of very low birth weight and very preterm neonates: an international comparison. J Pediatr: 2016; 177 144 152.e6
4. Zozus M. N. Pieper C. Johnson C. M., et al. Factors affecting accuracy of data abstracted from medical records. PLoS One: 2015; 10 10 e0138649. Doi: 10.1371/journal.pone.0138649
5. Newgard C. D. Zive D. Jui J. Weathers C. Daya M. Electronic versus manual data processing: evaluating the use of electronic health records in out-of-hospital clinical research. Acad Emerg Med: 2012; 19 02 217 227
6. Salem H. Roth E. Fornango J. A comparison of automated data collection and manual data collection for toxicology studies. Arch Toxicol Suppl: 1983; 6 361 364
7. Paulsen A. Overgaard S. Lauritsen J. M. Quality of data entry using single entry, double entry and automated forms processing - an example based on a study of patient-reported outcomes. PLoS One: 2012; 7 04 e35087. Doi: 10.1371/journal.pone.0035087
8. Eder C. Fullerton J. Benroth R. Lindsay S. P. Pragmatic strategies that enhance the reliability of data abstracted from medical records. Appl Nurs Res: 2005; 18 01 50 54
9. Liddy C. Wiens M. Hogg W. Methods to achieve high interrater reliability in data collection from primary care medical records. Ann Fam Med: 2011; 9 01 57 62
10. Byrne M. D. Jordan T. R. Welle T. Comparison of manual versus automated data collection method for an evidence-based nursing practice study. Appl Clin Inform: 2013; 4 01 61 74
11. Lee S. K. McMillan D. D. Ohlsson A., et al. Variations in practice and outcomes in the Canadian NICU network: 1996-1997. Pediatrics: 2000; 106 05 1070 1079
12. The Canadian Neonatal Network. The Canadian Neonatal Network abstractor's manual, v.3.0.0. 2017;. Available at: http://www.canadianneonatalnetwork.org/portal/CNNHome/Publications.aspx. Accessed December 4, 2015.
13. The Canadian Neonatal Network. The Canadian Neonatal Network Annual Report: 2013;. Available at: http://www.canadianneonatalnetwork.org/portal/CNNHome/Publications.aspx. Accessed December 4, 2015.
14. Joseph K. S. Fahey J.; Canadian Perinatal Surveillance System. Validation of perinatal data in the Discharge Abstract Database of the Canadian Institute for Health Information. Chronic Dis Can: 2009; 29 03 96 100
15. Horbar J. D. Leahy K. A. An assessment of data quality in the Vermont-Oxford Trials Network database. Control Clin Trials: 1995; 16 01 51 61
16. Dunn S. Bottomley J. Ali A. Walker M. 2008 Niday Perinatal Database quality audit: report of a quality assurance project. Chronic Dis Inj Can: 2011; 32 01 32 42
17. Davey M. A. Sloan M. L. Palma S. Riley M. King J. Methodological processes in validating and analysing the quality of population-based data: a case study using the Victorian Perinatal Data Collection. HIM J: 2013; 42 03 12 19
18. Cook S. F. Visscher W. A. Hobbs C. L. Williams R. L.; Project IMPACT Clinical Implementation Committee. Project IMPACT: results from a pilot validity study of a new observational database. Crit Care Med: 2002; 30 12 2765 2770
19. Herbert M. A. Prince S. L. Williams J. L. Magee M. J. Mack M. J. Are unaudited records from an outcomes registry database accurate? Ann Thorac Surg: 2004; 77 06 1960 1964, discussion 1964-1965