Australia produces only 38% of its Ig domestically, manufactured by CSL Behring from voluntary, non-remunerated Australian plasma donations. The remaining 62% is imported — a proportion that grew by nearly 24% in 2023–24 alone, while domestic collections grew by only 3.2%. Imported product is also more expensive, contributing to a 9% rise in direct expenditure ($666.5 million) year-on-year. This growing import dependence exposes Australia’s Ig supply to global shortages, price pressures, and supply chain disruption. The line chart shows that while established use dominates, the emerging category is growing fastest — up 56% since 2019–20 — as the approved indications list continues to expand.
Neurology accounts for nearly half of all Ig dispensed — driven by conditions like CIDP and myasthenia gravis, where Ig is often the only effective treatment available. Haematology and immunology together make up most of the remainder, reflecting Ig’s role in patients whose immune systems have been compromised by blood cancers or bone marrow transplants. The top 3 conditions alone — acquired hypogammaglobulinaemia, CIDP, and primary immunodeficiency — account for 55.7% of all Ig use nationally. As the population ages and more conditions gain approval for Ig treatment, the pressure on an already strained supply system will only intensify.
References
Cairo, A. (2014). The functional
art: An introduction to information graphics and visualization. New
Riders.
Few, S. (2006). Information dashboard design: The
effective visual communication of data. O’Reilly Media.
Iannone, R., Allaire, J. J., & Borges, B. (2024).
flexdashboard. https://pkgs.rstudio.com/flexdashboard/
National
Blood Authority. (2024). National report on the issue and use of
immunoglobulin (Ig): Annual report 2023–24. Australian Government.
https://www.blood.gov.au/data-and-research/data-and-reporting
R Core Team. (2024). R: A language and environment for statistical
computing. https://www.R-project.org/
Segel, E., & Heer, J.
(2010). Narrative visualization: Telling stories with data. IEEE
Transactions on Visualization and Computer Graphics, 16(6),
1139–1148.
Sievert, C. (2020). Interactive web-based data
visualization with R, plotly, and shiny. Chapman and Hall/CRC.
Wickham, H. (2010). A layered grammar of graphics. Journal of
Computational and Graphical Statistics, 19(1), 3–28.
Wickham,
H. (2016). ggplot2: Elegant graphics for data analysis.
Springer.
Yi, J. S., Kang, Y., & Stasko, J. (2007). Toward a
deeper understanding of the role of interaction in information
visualization. IEEE Transactions on Visualization and Computer
Graphics, 13(6), 1224–1231.