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Levels of health literacy among Australians with chronic conditions engaging with healthcare providers and navigating the health system
Health literacy plays an important role in improving person-centred care and population health outcomes. With the rate of chronic conditions increasing globally, it is important to understand the associations between levels of health literacy and the ability to navigate and engage with the healthcare system.
A 39-item survey was designed and distributed to Australian adults aged ≥ 18. Participants were recruited between 29 November and 14 December 2018.
In addition to researcher-devised and consumer-devised questions, items about self-reported health status, health conditions and PHI were drawn from the National Health Survey. Questions about financial stress were derived from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Questions about care affordability were drawn from the Commonwealth Fund survey and questions about accessibility were sourced from the Menzies-Nous surveys. Questions about diagnosed chronic conditions were defined by the AIHW. Minor post-weighting adjustments were made by age, sex and state to ensure the data accurately reflected population distribution according to the Australian Bureau of Statistics in June 2018. Data were analysed using descriptive and inferential statistics (IBM SPSS Statistics V24). Weighting was undertaken through a survey raking technique using the anesrake package in R.
The full survey questions are included in file 2, and with codes that correspond to the datasheet.
Funding
Partnership Centre: Health System Sustainability
National Health and Medical Research Council
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Q/A Log
- Institutional review completed
FAIR Self Assessment Summary
Findable Does the dataset have any identifiers assigned? Globally Unique, citable and persistent (e.g. DOI, PURL, ARK or Handle) Is the dataset identifier included in all metadata records/files describing the data? Yes How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema. What type of repository or registry is the metadata record in? Local institutional repository Accessible How accessible is the data? Access to metadata only Is the data available online without requiring specialised protocols or tools once access has been approved? By individual arrangement Will the metadata record be available even if the data is no longer available? Yes Interoperable What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? No standards have been applied in the description of data elements How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? There are no links to other metadata Reusable Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a text format Note: This self assessment used the Australian Research Data Commons online FAIR self assessment toolFAIR Self Assessment Rating
- 4 Stars
Data Sensitivity
- Sensitive
