Objective: The Sydney Health Literacy Lab (SHeLL) Editor is an online text-editing tool that provides real-time assessment and feedback on written health information (assesses grade reading score, complex language, passive voice). This study aimed to explore how the design could be further enhanced to help health information providers interpret and act on automated feedback.
Methods: The prototype was iteratively refined across four rounds of user-testing with health services staff ( = 20). Participants took part in online interviews and a brief follow-up survey using validated usability scales (System Usability Scale, Technology Acceptance Model). After each round, Yardley's (2021) optimisation criteria guided which changes would be implemented.
Results: Participants rated the Editor as having adequate usability (M = 82.8 out of 100, SD = 13.5). Most modifications sought to reduce information overload (e.g. simplifying instructions for new users) or make feedback motivating and actionable (e.g. using frequent incremental feedback to highlight changes to the text altered assessment scores).
Conclusion: terative user-testing was critical to balancing academic values and the practical needs of the Editor's target users. The final version emphasises actionable real-time feedback and not just assessment.
Innovation: The Editor is a new tool that will help health information providers apply health literacy principles to written text.
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http://dx.doi.org/10.1016/j.pecinn.2023.100162 | DOI Listing |
Global Health
January 2025
Research Group: Implementation Research, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Background: Adequate knowledge and awareness regarding diseases are essential for appropriate, high-quality healthcare. Female Genital Schistosomiasis (FGS) is a non-sexually transmitted gynaecological disease that is caused by the presence of Schistosoma haematobium eggs in the female genital tract and the resulting immune response that causes tissue damage. It is estimated to affect 56 million women, mostly in sub-Saharan Africa (SSA), where healthcare workers (HCWs) have limited awareness and knowledge of FGS.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Public Health, Faculty of Health, University of Technology Sydney, Level 8, Building 10, 235-253 Jones St, Ultimo, NSW, Australia.
Background: While some general patterns and trends of health information seeking and literacy in the Australian population are known, there is a need to understand these behaviours and skills specific to the focus areas outlined in the National Preventive Health Strategy (NPHS).
Methods: In response, this study employed a cross-sectional online survey of adults in the Australian general population (n = 1509) to investigate their knowledge and health information seeking behaviour regarding the NPHS' seven focus areas. It also explored primary care practitioners as a preventive health information source.
Psychooncology
January 2025
Department of Medical Psychology and Medical Sociology, Comprehensive Cancer Center Central Germany (CCCG), University Medical Center Leipzig, Leipzig, Germany.
Objective: Individuals with low socioeconomic status (SES) exhibit higher rates of mental disorders; however, data in oncological populations are insufficient. This study investigated the course of DSM-5 mental disorders in cancer patients, stratified by SES, over a period of 1.5 years following initial cancer diagnosis.
View Article and Find Full Text PDFLancet Digit Health
January 2025
Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address:
Large language models (LLMs) offer promising applications in mental health care to address gaps in treatment and research. By leveraging clinical notes and transcripts as data, LLMs could improve diagnostics, monitoring, prevention, and treatment of mental health conditions. However, several challenges persist, including technical costs, literacy gaps, risk of biases, and inequalities in data representation.
View Article and Find Full Text PDFJMIR Aging
January 2025
Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.
Background: Many members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for the care of individuals with ADRD, these caregivers often lack sufficient knowledge about ADRD-related health literacy and feel ill-prepared for their caregiving responsibilities. Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities.
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