Using linked birth, notification, hospital and mortality data to examine false-positive meningococcal disease reporting and adjust disease incidence estimates for children in New South Wales, Australia

Gibson, Amy; Jorm, Louisa; McIntyre, Peter

doi:10.1017/s0950268814003355

Cited by 6 publications

(8 citation statements)

References 20 publications

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“…We identified 12 deaths due to meningococcal disease over the 10‐year study period, substantially less than the 26 deaths identified in NSW in children less than 15 years between 2000 and 2007 . There has been a dramatic decline in meningococcal C disease since the introduction of the meningococcal C immunisation programme in 2003 .…”

Section: Discussionmentioning

confidence: 99%

Vaccine‐preventable child deaths in New South Wales from 2005 to 2014: How much is preventable?

Phillips

Beard

Macartney

et al. 2018

J Paediatrics Child Health

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Section: Discussionmentioning

confidence: 99%

Vaccine‐preventable child deaths in New South Wales from 2005 to 2014: How much is preventable?

Phillips

Beard

Macartney

et al. 2018

J Paediatrics Child Health

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“…1 Data linkage represents a platform enabling longitudinal health studies, epidemiological surveillance on rare diseases, 2 the examination of variations in and long-term outcomes, such as survival, can be assessed via linkage to mortality databases. 9,10 It can be an efficient and cost-effective 11 approach to research and health service improvement because data are acquired from routinely collected hospital data.…”

Section: Introductionmentioning

confidence: 99%

Growth of linked hospital data use in Australia: a systematic review

Tew¹,

Dalziel²,

Petrie³

et al. 2017

Aust. Health Review

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Objective. The aim of the present study was to quantify and understand the utilisation of linked hospital data for research purposes across Australia over the past two decades.Methods. A systematic review was undertaken guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 checklist. Medline OVID, PsycINFO, Embase, EconLit and Scopus were searched to identify articles published from 1946 to December 2014. Information on publication year, state(s) involved, type of data linkage, disease area and purpose was extracted.Results. The search identified 3314 articles, of which 606 were included; these generated 629 records of hospital data linkage use across all Australian states and territories. The major contributions were from Western Australia (WA; 51%) and New South Wales (NSW; 32%) with the remaining states and territories having significantly fewer publications (total contribution only 17%). WA's contribution resulted from a steady increase from the late 1990s, whereas NSW's contribution is mostly from a rapid increase from 2010. Current data linkage is primarily used in epidemiological research (73%).Conclusion. More than 80% of publications were from WA and NSW, whereas other states significantly lag behind. The observable growth in these two states clearly demonstrates the underutilised opportunities for data linkage to add value in health services research in the other states.What is known about the topic? Linking administrative hospital data to other data has the potential to be a cost-effective method to significantly improve health policy. Over the past two decades, Australia has made significant investments in improving its data linkage capabilities. However, several articles have highlighted the many barriers involved in using linked hospital data. What does this paper add? This paper quantitatively evaluates the performance across all Australian states in terms of the use of their administrative hospital data for research purposes. The performance of states varies considerably, with WA and NSW the clear stand-out performers and limited outputs currently seen for the other Australian states and territories. What are the implications for practitioners? Given the significant investments made into data linkage, it is important to continue to evaluate and monitor the performance of the states in terms of translating this investment into outputs. Where the outputs do not match the investment, it is important to identify and overcome those barriers limiting the gains from this investment. More generally, there is a need to think about how we improve the effective and efficient use of data linkage investments in Australia.

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“…The strength of laboratory evidence has also varied. Australian public health authorities regard notification data for the most recent years assessed, and following wide availability of nucleic acid detection assays from 2002, as robust — recent studies linking notification data with birth, hospital and death records 14 have found only a low level of missed cases — allowing an accurate estimate of disease incidence.…”

Section: Discussionmentioning

confidence: 99%

“…Given the high ascertainment rate of IMD cases by the NNDSS 14 , we assumed that notifications accurately reflected the incidence of disease. Denominators for calculating incidence rates were based on published Australian 1999–2015 mid‐year resident population projections, including estimates of total population by age in single years and state or territory 15 and of the Aboriginal and Torres Strait Islander (Indigenous) population 16 .…”

Section: Methodsmentioning

confidence: 99%

Epidemiology of invasive meningococcal B disease in Australia, 1999–2015: priority populations for vaccination

Archer

Chiu

Jayasinghe

et al. 2017

Medical Journal of Australia

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Objectives: To describe trends in the age‐specific incidence of serogroup B invasive meningococcal disease (IMD) in Australia, 1999–2015. Design, setting, participants: Analysis in February 2017 of de‐identified notification data from the Australian National Notifiable Diseases Surveillance System of all notifications of IMD in Australia with a recorded diagnosis date during 1999–2015. Major outcomes: IMD notification rates in Australia, 1999–2015, by age, serogroup, Indigenous status, and region. Results: The incidence of meningococcal serogroup B (MenB) disease declined progressively from 1.52 cases per 100 000 population in 2001 to 0.47 per 100 000 in 2015. During 2006–2015, MenB accounted for 81% of IMD cases with a known serogroup; its highest incidence was among infants under 12 months of age (11.1 [95% CI, 9.81–12.2] per 100 000), children aged 1–4 years (2.82 [95% CI, 2.52–3.15] per 100 000), and adolescents aged 15–19 years (2.40 [95% CI, 2.16–2.67] per 100 000). Among the 473 infants under 2 years of age with MenB, 43% were under 7 months and 69% under 12 months of age. The incidence of meningococcal serogroup C (MenC) disease prior to the introduction of the MenC vaccine in 2003 was much lower in infants than for MenB (2.60 cases per 100 000), the rate peaking in people aged 15–19 years (3.32 per 100 000); the overall case fatality rate was also higher (MenC, 8%; MenB, 4%). The incidence of MenB disease was significantly higher among Indigenous than non‐Indigenous Australians during 2006–2015 (incidence rate ratio [IRR], 3.8; 95% CI, 3.3–4.5). Conclusions: Based on disease incidence at its current low endemic levels, priority at risk age/population groups for MenB vaccination include all children between 2 months and 5 years of age, Indigenous children under 10 years of age, and all adolescents aged 15–19 years. Given marked variation in meningococcal disease trends over time, close scrutiny of current epidemiologic data is essential.

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Using linked birth, notification, hospital and mortality data to examine false-positive meningococcal disease reporting and adjust disease incidence estimates for children in New South Wales, Australia

Cited by 6 publications

References 20 publications

Vaccine‐preventable child deaths in New South Wales from 2005 to 2014: How much is preventable?

Vaccine‐preventable child deaths in New South Wales from 2005 to 2014: How much is preventable?

Growth of linked hospital data use in Australia: a systematic review

Epidemiology of invasive meningococcal B disease in Australia, 1999–2015: priority populations for vaccination

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