Linkage, evaluation and analysis of national electronic healthcare data: Application to providing enhanced blood-stream infection surveillance in paediatric intensive care

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Harron, Katie ^a   Goldstein, Harvey ^a,b   Wade, Angie ^a   Muller Pebody, Berit ^c   Parslow, Roger ^d   Gilbert, Ruth ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c PUBLIC HEALTH ENGLAND   (United Kingdom)

^d UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; BLOOD CULTURE; BLOODSTREAM INFECTION; CONTROLLED STUDY; DATA ANALYSIS; DISEASE SURVEILLANCE; ELECTRONIC MEDICAL RECORD; GOLD STANDARD; HOSPITAL ADMISSION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MEDICAL AUDIT; MEDICAL INFORMATION SYSTEM; UNITED KINGDOM;

BACTEREMIA; CHILD; DATA COLLECTION; ELECTRONIC HEALTH RECORDS; EPIDEMIOLOGICAL MONITORING; HUMANS; INFORMATION DISSEMINATION; INTENSIVE CARE UNITS, PEDIATRIC;

EID: 84893199080     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0085278     Document Type: Article

References (22)

1. Nosocomial Infection National Surveillance Service (2007) Surveillance of Hospital-acquired Bacteraemia in English Hospitals. pp. 1997-2002. Public Health Laboratory Service.
2. Yogaraj JS, Elward AM, Fraser VJ (2002) Rate, risk factors, and outcomes of nosocomial primary bloodstream infection in pediatric intensive care unit patients. Pediatrics 110: 481-485. doi:10.1542/peds.110.3.481. PubMed: 12205248. (Pubitemid 34976674)
3. Urrea M, Pons M, Serra M, Latorre C, Palomeque A (2003) Prospective incidence study of nosocomial infections in a pediatric intensive care unit. Pediatr Infect Dis J 22: 490-494. doi:10.1097/01.inf.0000069758.00079.d3. PubMed: 12799503.
4. Elward AM, Hollenbeak CS, Warren DK, Fraser VJ (2005) Attributable cost of nosocomial primary bloodstream infection in pediatric intensive care unit patients. Pediatrics 115: 868-872. doi:10.1542/peds.2004-0256. PubMed: 15805357.
5. Wilson J, Elgohari S, Livermore DM, Cookson B, Johnson A et al. (2011) Trends among pathogens reported as causing bacteraemia in England, 2004-2008. Clin Microbiol Infect 17: 451-458. doi:10.1111/j.1469-0691.2010.03262.x. PubMed: 20491834.
6. Universities of Leeds and Leicester (2012) Paediatric Intensive Care Audit Network National Report 2009-2011 ISBN 9780853163121. Available:http:// www.picanetorg.uk/Documents/General/Annual-Report-2012/Ninth-PICANet-Annual- Report-2009-2011-Summary-Report.pdf. Accessed 26 April 2013
7. Harron K, Wade A, Muller-Pebody B, Goldstein H, Parslow R et al. (2013) Risk-adjusted monitoring of blood-stream infection in paediatric intensive care: a data linkage study. Intensive Care Med 39: 1080-1087. doi:10.1007/s00134-013- 2841-z. PubMed: 23404472.
8. García Álvarez L, Aylin P, Tian J, King C, Catchpole M et al. (2011) Data linkage between existing healthcare databases to support hospital epidemiology. J Hosp Infect 79: 231-235. doi:10.1016/j.jhin.2011.06. 016. PubMed: 21868128.
9. Pearson A, Chronias A, Murray M (2009) Voluntary and mandatory surveillance for methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-susceptible S. aureus (MSSA) bacteraemia in England. J Antimicrob Chemother 64: i11-i17. doi:10.1093/jac/dkp260. PubMed: 19675013.
10. Jaro MA (1995) Probabilistic linkage of large public health data files. Stat Med 14: 491-498. doi:10.1002/sim.4780140510. PubMed: 7792443.
11. Clark DE (2004) Practical introduction to record linkage for injury research. Injury Prev 10: 186-191. doi:10.1136/ip.2003.004580. PubMed: 15178677. (Pubitemid 39186474)
12. Goldstein H, Harron K, Wade A (2012) The analysis of record-linked data using multiple imputation with data value priors. Stat Med 31: 3481-3493. doi:10.1002/sim.5508. PubMed: 22807145.
13. Bohensky MA, Jolley D, Sundararajan V, Evans S, Pilcher DV et al. (2010) Data Linkage: A powerful research tool with potential problems. BMC Health Serv Res 10: 346-352. doi:10.1186/1472-6963-10-346. PubMed: 21176171.
14. Schmidlin K, Clough-Gorr KM, Spoerri A, Egger M, Zwahlen M (2013) Impact of unlinked deaths and coding changes on mortality trends in the Swiss National Cohort. BMC Med Inform Decis Mak 13: 1-11. doi: 10.1186/1472-6947-13-S2-S1. PubMed: 23289362.
15. Ford JB, Roberts CL, Taylor LK (2006) Characteristics of unmatched maternal and baby records in linked birth records and hospital discharge data. Paediatr Perinat EP 20: 329-337. doi:10.1111/j.1365-3016.2006.00715.x. PubMed: 16879505. (Pubitemid 43882166)
16. Lariscy JT (2011) Differential Record Linkage by Hispanic Ethnicity and Age in Linked Mortality Studies. J Aging Health 23: 1263-1284. doi: 10.1177/0898264311421369. PubMed: 21934120.
17. Fellegi IP, Sunter AB (1969) A theory for record linkage. J Am Stat Assoc 64: 1183-1210. doi:10.1080/01621459.1969.10501049.
18. DuVall SL, Kerber RA, Thomas A (2010) Extending the Fellegi-Sunter probabilistic record linkage method for approximate field comparators. J Biomed Inform 43: 24-30. doi:10.1016/j.jbi.2009.08.004. PubMed: 19683070.
19. Charlton CMJ, Michaelides DT, Cameron B, Szmaragd C, Parker RMA et al. (2012) Stat-JR software. Center for Multilevel Modelling, University of Bristol and Electronics and Computer Science. University of Southampton.
20. Rubin D (1987) Multiple imputation for nonresponse in surveys: Wiley.
21. Harron K, Wade A, Muller-Pebody B, Goldstein H, Gilbert R. (2012) Opening the Black Box of Record Linkage. J Epidemiol Commun H Online First
22. Kelman CW, Bass AJ, Holman CDJ (2002) Research use of linked health data-a best practice protocol. Aust Nz. J Publ Heal 26: 251-255. (Pubitemid 35446374)