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Using record linkage to validate notification and laboratory data for a more accurate assessment of notifiable infectious diseases

Authors :
Faye J. Lim
Christopher C. Blyth
Avram Levy
Parveen Fathima
Nicholas de Klerk
Carolien Giele
Hannah C. Moore
Source :
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-9 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract Background Infectious disease burden is commonly assessed using notification data. Using retrospective record linkage in Western Australia, we described how well notification data captures laboratory detections of influenza, pertussis and invasive pneumococcal disease (IPD). Methods We linked data from the Western Australian Notifiable Infectious Diseases Database (WANIDD) and the PathWest Laboratory Database (PathWest) pertaining to the Triple I birth cohort, born in Western Australia in 1996–2012. These were combined to calculate the number of unique cases captured in each dataset alone or in both datasets. To assess the impact of under-ascertainment, we compared incidence rates calculated using WANIDD data alone and using combined data. Results Overall, there were 5550 influenza, 513 IPD (2001–2012) and 4434 pertussis cases (2000–2012). Approximately 2% of pertussis and IPD cases and 7% of influenza cases were solely recorded in PathWest. Notification of influenza and pertussis cases to WANIDD improved over time. Overall incidence rates of influenza in children aged

Details

Language :
English
ISSN :
14726947
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.2171d234cebe4173ae7fd90ae42bea43
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-017-0484-7