Standard mortality statistics report only the underlying cause of death, yet death certificates in Australia record an average of 3.5 conditions per decedent. This study quantified the “hidden burden” of mortality across all ICD-10 conditions in Australia using the multiple-to-underlying ratio (total death certificate mentions divided by underlying cause deaths) in a cross-sectional analysis of Australian Bureau of Statistics Causes of Death 2023 data ( N = 187,268 deaths). The ratio was computed for all 663 ICD-10 with at least 10 underlying cause deaths, and three pre-registered hypotheses tested sex differences and geographic variation. The underlying cause accounted for only ~ 29% of all conditions recorded on death certificates. The median ratio was 2.5 (range 1.0 to 281.1), with 71 conditions (10.7%) exceeding a ratio of 10, meaning over 90% of their death certificate burden is hidden from standard statistics. Among stable estimates, complications of medical care (94.3), respiratory failure (82.4), and cognitive symptoms (77.3) had the highest ratios. Males showed consistently higher ratios than females, particularly for mental health disorders (62% higher); a counterfactual analysis found that suicide coding rules explained 6 to 15% of this sex difference under conservative assumptions and did not fully account for it under any scenario tested. Two pre-registered sex difference hypotheses were structurally underpowered but showed large effect sizes ( r = 0.77 to 0.80); the geographic variation hypothesis was null. These findings demonstrate that the hidden burden of mortality is substantial and unevenly distributed, with implications for burden-of-disease estimation, mortality surveillance, and health policy. The approach is transferable to any country publishing both underlying and multiple cause of death data.
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Hayden Farquhar (2026) studied this question.
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