A retrospective assessment of the completeness and timeliness of meningococcal disease notifications in the Republic of Ireland over a 16-year period, 1999–2015

Abstract Objectives To assess how invasive meningococcal disease (IMD) records held by the Irish Meningitis & Sepsis Reference Laboratory (IMSRL) compare to records of IMD notifications reported on the national integrated electronic Computerised Infectious Disease Reporting (CIDR) system. Study design We assessed the completeness, data quality and timeliness of IMD notifications and reference laboratory records for the period between 01 July 1999 and 30 June 2015 by identifying discrepant and/or missing data items in a matched case data set and by measuring the timeliness of case reporting. Methods We matched anonymised cases notified to CIDR to records based at the IMSRL using birth, reporting and onset dates with gender and laboratory parameters of meningococcal strain characteristics and method of confirmation. Completeness, data quality and the timeliness of notifications were assessed by a stratified sensitivity-based technique and by calculating the average difference between IMSRL and CIDR reporting dates. Results CIDR recorded a total of 3163 notifications, of which 2759 (87.2%) were matched to IMSRL records. Completeness of IMD case classification as confirmed was estimated to be >99%. Examining the levels of discrepant or missing data in both matched CIDR and IMSRL records as a measure of data quality, recording of demographic items and meningococcal group showed least differences, recording of laboratory case confirmation method and meningococcal strain characteristics were less well recorded, with detail on clinical presentation/diagnosis least well recorded. Overall average annual difference between CIDR and IMSRL recording dates was 3.2 days (95% confidence interval 2.6–3.8). Conclusions A high quality of IMD surveillance in Ireland was demonstrated, but scope for improvements in timeliness and capture of enhanced surveillance data regarding date of onset and strain-specific characteristics were identified.