AIMS: We aimed to: (i) update previous health system cost estimates (Blakely et al NZMJ 2014;127(1393)) using updated costing data and more refined methods; and (ii) provide context around current developments in the improved networking of health information systems in New Zealand. METHODS: As per our previous work, national health event data were linked for hospitalisations, inpatient procedures, outpatient events, pharmaceuticals, laboratory tests, and primary care consultations for the whole country. For each health event a cost was assigned. Health expenditure by sex and age, and proximity to @entity204 (last 6 or 12 months of life), was then calculated. RESULTS: The updated and more accurate method allocated lower amounts of total public health expenditure than the previous work:  6.1,  6.0 and  6.7 billion dollars (inflation-adjusted to 2011 NZ ) in 2007/08, 2008/09 and 2009/10 financial years, respectively. But the latter is still only 52% of total health system costs ( 6.7/ 12.98 billion). Health system costs for @entity1 not within six months of @entity204 were similar to the previous work, except for being reduced in the most elderly age groups (range:  495 per @entity1 -year in 10-14 year old females; to  5,239 per @entity1 -year in 85-89 year old males). Costs in the last six months of life remained highly variable by age group (by a factor of 14 and being maximal at  23,400 or more among 1-4 year olds). The proportion of cumulative health expenditure in the last year of life declined with increasing age of @entity204 : eg, 47%, 25%, 13% and 6% for individuals aged 40, 70, 80 and 90 respectively. CONCLUSIONS: Health system costs vary markedly across the life course, and are skewed to the last year of life. This analysis has benefited from quality improvements in cost data and method refinements, but further improvements in coming years are likely. This is particularly so with access to additional data sources, and with the move towards better integration of "big data" in the New Zealand health sector.

Updated New Zealand health system cost estimates from health events by sex, age and proximity to XXXX : further improvements in the age of 'big data'.

@entity1 :: ('9606', 'Species') :: ['people', 'person'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity204 :: (MESH:D003643,Disease) :: ['death']
