Overview of data improvement activities

To address the existing dementia data gaps and achieve the goals of this plan, the following pages outline what data improvement activities need to be undertaken for each data gap. Data improvement activities can be classified by:

  • data activity types
  • level of investment
  • timeframe
  • who will lead the activity.

Data activity types

Data activity types can include:

  • creation of a new data source, such as establishing a collection of new administrative data or conducting a new survey
  • expansion of existing data collections, for example, by including additional dementia data items in an administrative or survey collection, or through increasing the sample size of an existing survey to facilitate analysis and reporting on people with dementia
  • undertaking a one-off study, such as a small case study, to provide data that would help fill a key data gap or quality issue
  • data linkage to integrate data from more than one existing data set to expand and enhance dementia data resources and facilitate validation of dementia estimates
  • data harmonisation to improve the coherence of dementia data (such as through implementing standard concepts and classifications across data sets)
  • development of data analysis methods to improve estimates of dementia, including improved estimates of dementia prevalence
  • other activities that do not fit into the categories above.

Level of investment

The level of investment required to complete each activity is estimated. Investment may vary based on who is conducting the activity and what other related activities have been completed.

The level of investment is broadly categorised as:

  • Low – typically these activities can be conducted with existing data.
  • Medium – activities may require increased investment for processes such as methods development or establishment of a new data collection.
  • High – activities that require greater resourcing, consultation, or development of a large-scale and/or complex data collection.

Timeframe

Another consideration for implementation is the time needed to complete the activity. Not all activities will be able to commence at once; activities will be prioritised as some activities will need to be completed before others and activities will commence as resourcing allows. Some activities will also vary in duration.

The timeframes for completing the described activity once commenced are:

  • Short – less than 2 years
  • Medium – 2 to 6 years
  • Long – 6 years or more.

Who is responsible for undertaking data improvement activities?

The dementia data improvement activities identify the ‘responsible stakeholder(s)’ that would lead the activity. Several activities would be led by the Australian Institute of Health and Welfare (AIHW) National Centre for Monitoring Dementia (NCMD), but others may be led by other government agencies, service providers and/or organisations that manage existing data collection or service programs, as well as research consortiums or researchers.

The NCMD is well placed to undertake a range of dementia data improvement activities due to their experience in accessing, analysing and reporting on dementia. AIHW houses, and is the data custodian of, many national data sets that can provide national dementia data and is an accredited data integration service provider for data linkage.

Work under the NCMD data improvement stream will be directly informed by this improvement plan. Projects will be prioritised by the NCMD in consultation with the Department of Health, Disability and Ageing and Dementia Expert Advisory Panel, with consideration of:

  • alignment to the NDAP, the key goals of this plan, NCMD national dementia monitoring needs and policy needs
  • ability to provide foundational or enduring data that can be used in linkages and/or over time
  • dependency on other activities, governance, operational or legislative arrangements, or collaborations
  • ability to contribute information on dementia among priority populations
  • timeframe and funding limitations.

Below are some examples of responsible stakeholders for dementia data improvement activities.

The following pages present the 14 data gaps and outlines specific data improvement activities under each gap. These activities would improve the available evidence on dementia that is needed to improve the outcomes or experiences of people with dementia and their carers.