Producing health information that people can easily understand is challenging and time-consuming. Existing guidance is often subjective and lacks specificity. With advances in software that reads and analyzes text, there is an opportunity to develop tools that provide objective, specific, and automated guidance on the complexity of health information. This paper outlines the development of the SHeLL (Sydney Health Literacy Lab) Health Literacy Editor, an automated tool to facilitate the implementation of health literacy guidelines for the production of easy-to-read written health information. Target users were any person or organization that develops consumer-facing education materials, with or without prior experience with health literacy concepts. Anticipated users included health professionals, staff, and government and nongovernment agencies. To develop this tool, existing health literacy and relevant writing guidelines were collated. Items amenable to programmable automated assessment were incorporated into the Editor. A set of natural language processing methods were also adapted for use in the SHeLL Editor, though the approach was primarily procedural (rule-based). As a result of this process, the Editor comprises 6 assessments: readability (school grade reading score calculated using the Simple Measure of Gobbledygook (SMOG)), complex language (percentage of the text that contains public health thesaurus entries, words that are uncommon in English, or acronyms), passive voice, text structure (eg, use of long paragraphs), lexical density and diversity, and person-centered language. These are presented as global scores, with additional, more specific feedback flagged in the text itself. Feedback is provided in real-time so that users can iteratively revise and improve the text. The design also includes a “text preparation” mode, which allows users to quickly make adjustments to ensure accurate calculation of readability. A hierarchy of assessments also helps users prioritize the most important feedback. Lastly, the Editor has a function that exports the analysis and revised text. The SHeLL Health Literacy Editor is a new tool that can help improve the quality and safety of written health information. It provides objective, immediate feedback on a range of factors, complementing readability with other less widely used but important objective assessments such as complex and person-centered language. It can be used as a scalable intervention to support the uptake of health literacy guidelines by health services and providers of health information. This early prototype can be further refined by expanding the thesaurus and leveraging new machine learning methods for assessing the complexity of the written text. User-testing with health professionals is needed before evaluating the Editor’s ability to improve the health literacy of written health information and evaluating its implementation into existing Australian health services.

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Background Health literacy interventions and research outcomes are not routinely or systematically implemented within healthcare systems. Co‐creation with stakeholders is a potential vehicle through which to accelerate and scale up the implementation of innovation from research. Methods This narrative case study describes an example of the application of a co‐creation approach to improve health literacy in an Australian public health system that provides hospital and community health services to one million people from socioeconomically and culturally diverse backgrounds. We provide a detailed overview of the value co‐creation stages and strategies used to build a practical and sustainable working relationship between a University‐based academic research group and the local health district focussed on improving health literacy. Results Insights from our experience over a 5‐year period informed the development of a revised model of co‐creation. The model incorporates a practical focus on the structural enablers of co‐creation, including the development of a Community of Practice, co‐created strategic direction and shared management systems. The model also includes a spectrum of partnership modalities (spanning relationship‐building, partnering and co‐creating), acknowledging the evolving nature of research partnerships and reinforcing the flexibility and commitment required to achieve meaningful co‐creation in research. Four key facilitators of health literacy co‐creation are identified: (i) local champions, (ii) co‐generated resources, (iii) evolving capability and understanding and (iv) increasing trust and partnership synergy. Conclusion Our case study and co‐creation model provide insights into mechanisms to create effective and collaborative ways of working in health literacy which may be transferable to other health fields in Australia and beyond. Patient and Public Contribution Our co‐creation approach brought together a community of practice of consumers, healthcare professionals and researchers as equal partners.

ObjectiveTo explore the psychological, social and financial outcomes of COVID-19—and the sociodemographic predictors of those outcomes—among culturally and linguistically diverse communities in Sydney, Australia.DesignCross-sectional survey informed by the Framework for Culturally Competent Health Research conducted between March and July 2021.SettingParticipants who primarily speak a language other than English at home were recruited from Greater Western Sydney, New South Wales.Participants708 community members (mean age: 45.4 years (range 18–91)). 88% (n=622) were born outside of Australia, 31% (n=220) did not speak English well or at all, and 41% (n=290) had inadequate health literacy.Outcome measuresThirteen items regarding COVID-19-related psychological, social and financial outcomes were adapted from validated scales, previous surveys or co-designed in partnership with Multicultural Health and interpreter service staff. Logistic regression models (using poststratification weighted frequencies) were used to identify sociodemographic predictors of outcomes. Surveys were available in English or translated (11 languages).ResultsIn this analysis, conducted prior to the 2021 COVID-19 outbreak in Sydney, 25% of the sample reported feeling nervous or stressed most/all of the time and 22% felt lonely or alone most/all of the time. A quarter of participants reported negative impacts on their spousal relationships as a result of COVID-19 and most parents reported that their children were less active (64%), had more screen time (63%) and were finding school harder (45%). Mean financial burden was 2.9/5 (95% CI 2.8 to 2.9). Regression analyses consistently showed more negative outcomes for those with comorbidities and differences across language groups.ConclusionCulturally and linguistically diverse communities experience significant psychological, social and financial impacts of COVID-19. A whole-of-government approach is needed to support rapid co-design of culturally safe support packages in response to COVID-19 and other national health emergencies, tailored appropriately to specific language groups and accounting for pre-existing health disparities.

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