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This paper brings intergenerational family literacy programs to the attention of both an education and a social welfare readership. It describes how they benefit both children of parents with unmet literacy needs and the parents themselves. The paper presents results, from a Department of Employment. Education and Training national study, which show an important overlap between adult literacy teachers and family support workers in their interests in their clients, and argues for the need for cross‐sectoral cooperation. Australian examples of such cooperation are provided and a scheme is proposed linking a number of government agencies to provide intergenerational family literacy programs offering a suite of needed services.

This paper is about intergenerational family literacy (IGFL) programs which are designed to benefit the children of parents in need of literacy education as well as the parents themselves. The paper reports results from a Department of Employment, Education and Training national study of these programs. Of particular importance is the issue of parents' self-esteem and the use of a student-centred approach in adult literacy classes. The issues of recruitment, control, networking and resources are also addressed. Studies are reported which indicate the considerable potential of these programs to benefit children and parents.

Background Historically, national programs for collecting stroke data in Australia required the use of multiple online tools. Clinicians were required to enter overlapping variables for the same patient in the different databases. From 2013 to 2016, the Australian Stroke Data Tool (AuSDaT) was built as an integrated data management solution. Objective In this article, we have described the development, implementation, and evaluation phases of establishing the AuSDaT. Method In the development phase, a governance structure with representatives from different data collection programs was established. Harmonisation of data variables, drawn from six programs used in hospitals for monitoring stroke care, was facilitated through creating a National Stroke Data Dictionary. The implementation phase involved a staged deployment for two national programs over 12 months. The evaluation included an online survey of people who had used the AuSDaT between March 2018 and May 2018. Results By July 2016, data entered for an individual patient was, for the first time, shared between national programs. Overall, 119/422 users (90% female, 61% aged 30–49 years, 57% nurses) completed the online evaluation survey. The two most positive features reported about the AuSDaT were (i) accessibility of the system (including simultaneous user access), and (ii) the ability to download reports to benchmark local data against peer hospitals or national performance. More than three quarters of respondents ( n = 92, 77%) reported overall satisfaction with the data collection tool. Conclusion The AuSDaT reduces duplication and enables users from different national programs for stroke to enter standardised data into a single system. Implications This example may assist others who seek to establish a harmonised data management solution for different disease areas where multiple programs of data collection exist. The importance of undertaking continuous evaluation of end-users to identify preferences and aspects of the tool that are not meeting current requirements were illustrated. We also highlighted the opportunities to increase interoperability, utility, and facilitate the exchange of accurate and meaningful data.

OBJECTIVE: To describe the challenges of obtaining state and nationally held data for linkage to a non-government national clinical registry. METHODS: We reviewed processes negotiated to achieve linkage between the Australian Stroke Clinical Registry (AuSCR), the National Death Index, and state held hospital data. Minutes from working group meetings, national workshop meetings, and documented communications with health department staff were reviewed and summarised. RESULTS: Time from first application to receipt of data was more than two years for most state data-sets. Several challenges were unique to linkages involving identifiable data from a non-government clinical registry. Concerns about consent, the re-identification of data, duality of data custodian roles and data ownership were raised. Requirements involved the development of data flow methods, separating roles and multiple governance and ethics approvals. Approval to link death data presented the fewest barriers. CONCLUSION: To our knowledge, this is the first time in Australia that person-level data from a clinical quality registry has been linked to hospital and mortality data across multiple Australian jurisdictions. Implications for Public Health: The administrative load of obtaining linked data makes projects such as this burdensome but not impossible. An improved national centralised strategy for data linkage in Australia is urgently needed.