4: Timeliness of dementia diagnosis

The main activity proposed to improve available data on timeliness of diagnosis is:

Another activity in this plan which may also improve data available on timeliness of diagnosis is:

Each activity description provides information on the intended outcome, level of investment required, timeframe for completion of the activity and who is responsible for undertaking the activity.

Activity 4a: Investigate service use and health events preceding and following a diagnosis of dementia or mild cognitive impairment (MCI)

Understanding service use and health patterns preceding and following a diagnosis of dementia is currently a key gap in Australia. This activity follows on from 3a, which aims to incorporate dementia data in enduring linked data assets to meet the needs of dementia monitoring. As part of this activity, data from the Australian Dementia Network (ADNeT) Registry can be linked to enduring linked administrative health and aged care data sets (such as the National Health Data Hub) to explore service use and health patterns preceding a diagnosis of dementia. As both data sets develop over the 10-year period, this activity could be repeated with greater data availability to explore service use and health events following a diagnosis of dementia. 

OutcomeImportant insights for dementia health service and policy planning for pre- and post-diagnostic support.
Level of investmentLow
TimeframeMedium
Responsible stakeholderAIHW NCMD, ADNeT Registry
Progress

The AIHW has worked with ADNeT to link ADNeT Registry data to linked administrative health and aged care data sets in the National Health Data Hub (see activity 3a).

The AIHW is using this pilot linkage to examine the patterns of service use prior to a diagnosis of dementia or mild cognitive impairment. Results are expected to be published on the AIHW website in 2027.

With increasing use of genetic and biomarker testing for dementia, future work could explore emerging data sources, such as de-identified data from pathology clinics. Subject to adhering to relevant privacy provisions, such data has the potential to improve understanding of changing diagnostic pathways.