Self-management of Chronic Diseases and Conditions

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https://hdl.handle.net/10125/109925

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    Supporting Self-Management for Autism Spectrum Disorder through Telehealth
    (2025-01-07) Sumanasekera, Kulani; Todorova, Nelly; Mills, Annette
    Autism spectrum disorder (ASD) is a complex chronic condition, impacting the individual and their family, as they require life-long care starting at an early age. Self-management assists these individuals transition to adulthood without needing continued systematic support externally. Telehealth reduces the challenges these families experience when accessing self-management programs. However, current research on telehealth programs in this context are often aimed at early childhood or utilize a deficit-based approach to care, therefore fails to capture all aspects of self-management. This study employed a case-study approach to investigate how a clinically adopted telehealth program supports comprehensive self-management of autism. The results demonstrate the program provided self-management support through three processes: focusing on illness needs, activating resources and living with a chronic condition. The paper suggests further improvements are needed to achieve intended healthcare outcomes for the child and their families.
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    AI-Driven Grief Chatbots: Transforming Grief Management for Individuals with Chronic Illness
    (2025-01-07) Jia, Shizhen; Chi, Oscar Hengxuan; Tseng, Hsiao-Ting
    Chronic illness precipitates numerous challenges and often leading to a multifaceted grieving process. Traditional grief management approaches, such as counseling, support groups, and medication, often fall short of providing immediate and personalized support. The integration of artificial intelligence (AI) in healthcare, particularly AI-driven chatbots, offers promising enhancements for grief support. However, ethical considerations must be addressed. This study examines the application of AI-driven chatbots in managing grief among individuals with chronic illness using the Value Sensitive Design (VSD) framework and two kernel theories. By exploring and integrating human values and technical features, this research proposes guidelines for designing AI-driven grief chatbots.
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    Codesigning a Multilingual Virtual Helper for Dementia Carers in Australia: A Case Study
    (2025-01-07) Ulapane, Nalika; Wickramasinghe, Nilmini; Dang, Thu Ha; Thodis, Antonia; Brijnath, Bianca
    Dementia is becoming a commonly prevalent chronic disease worldwide impacting communities that are culturally and ethnically diverse. Despite the burden on family carers (hereafter, carers) of people with dementia in these communities, research on how to support these communities is lacking. Research is limited, especially regarding the design and development of multilingual online resources that are culturally appropriate and usable for these target groups. In such a backdrop, this study aimed to co-design a digital health intervention named DrawCare, including a multilingual virtual helper with carers from nine linguistic groups across Australia. Six co-design workshops were conducted online. Convenience and snowball sampling were used for carer recruitment (n=21), and data were thematically analyzed. Participants desired a helper with aesthetic and user-friendly design and problem-framing prompts in language to navigate the website for supporting resources. This feedback was used to improve the virtual helper for user testing and a randomized control trial to evaluate the effectiveness of the DrawCare intervention.