Readability and beyond - Health literacy and numeracy and COVID-19 communications in early childhood education: Are we communicating effectively?

OBJECTIVE: Analyse the linguistic and numerical complexity of COVID-19-related health information communicated from Australian national and state governments and health agencies to national and local early childhood education (ECE) settings. METHODS: Publicly available health information (n = 630) was collected from Australian national and state governments and health agencies, and ECE agencies and service providers. A purposive sample of documents (n = 33) from 2020 to 2021 was analysed inductively and deductively combining readability, health numeracy and linguistic analyses and focusing on the most frequent actionable health advice topics. RESULTS: COVID-19 health advice most frequently related to hygiene, distancing and exclusion. Readability scores in 79% (n = 23) of documents were above the recommended grade 6 reading level for the public. Advice was delivered using direct linguistic strategies (n = 288), indirect strategies (n = 73), and frequent mitigating hedges (n = 142). Most numerical concepts were relatively simple, but lacked elaborative features (e.g., analogies) and/or required subjective interpretation. CONCLUSION: COVID-19 health advice available to the ECE sector included linguistic and numerical information open to mis/interpretation making it difficult to understand and implement. PRACTICE IMPLICATIONS: Combining readability scores with measures of linguistic and numerical complexity offers a more holistic approach to assessing accessibility of health advice and improving health literacy among its recipients.

The role of digital technologies in supporting quality improvement in Australian early childhood education and care settings.

This national study explored the role of digital technologies in early childhood education and care settings and whether they could contribute to quality improvement as reported by educators and assessors of quality in Australia. In this paper, data from Stage 2 of the Quality Improvement Research Project were used, which comprised 60 Quality Improvement Plans from educators linked with 60 Assessment and Rating reports from the assessors who visited early childhood centres as part of the administration of the National Quality Standards by each of Australia's State and Territory jurisdictions. Bronfenbrenner's ecological systems theory ( Bronfenbrenner, U. (1995). Developmental ecology through space and time: A future perspective. In P. Moen, G. H. Elder, Jr., & K. Lüscher (Eds.), Examining lives in context: Perspectives on the ecology of human development (pp. 619-647). American Psychological Association. 10.1037/10176-018; Bronfenbrenner & Ceci, Bronfenbrenner and Ceci, Psychological Review 101:568-586, 1994) was adopted to facilitate a systemic and dynamic view on the use of digital technologies in these 60 ECEC settings. References (e.g. comments/ suggestions/ examples) made by the educators about the implementation of digital technologies were counted and thematically analysed. Results revealed the strong role new technologies (e.g. documentation and management platforms, tablets, apps, etc.) play in the majority of ECEC settings and especially in relation to three of the seven Quality Areas: Educational programme and practice (Quality Area 1); Collaborative partnerships with families and communities (Quality Area 6) and Governance and leadership (Quality Area 7). Future directions for research are suggested and implications for embracing a more holistic, integrated and broad view on the use of digital technologies are discussed.

Structures and systems influencing quality improvement in Australian early childhood education and care centres.

This study assessed the impact of structural characteristics on quality rating and improvement systems (QRIS) outcomes in an Australian national study. Data from the Australian Children's Education and Care Quality Authority (ACECQA) repository of National Quality Standard (NQS) ratings were used to identify long day care services that had improved from Working Towards NQS to Meeting or Exceeding NQS or had no change over two assessments. QRIS outcomes were examined for state/territory jurisdiction, urban-rural location, community socio-economic status, type and size of provider organisation, centre size and stability of centre owner/provider using multinomial logistic regression analyses. Controlling for jurisdiction, results showed that improvement to Meeting NQS was more likely for not-for-profit versus for-profit providers and for large multi-site provider organisations versus small, stand-alone providers. Improvement to Exceeding NQS was also associated with not-for-profit and larger provider organisations, as well as larger versus smaller centres, and centres that had stable ownership.