A Personalised Digital Health Intervention for Prediabetes...Health Innovation Community, August 18-20, 2025, Melbourne Convention and Exhibition Centre, Melbourne, Australia.
Prediabetes presents a critical window to prevent type 2 diabetes, a rising global health crisis, yet young adults often lack engaging preventive tools. This ongoing study aims to design and evaluate a web application to enhance health knowledge, engagement, and self-management for this at-risk grou...
| Publicado en: | Studies in Health Technology & Informatics Vol. 333; pp. 28 - 34 |
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| Autores principales: | , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189355121&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189355121 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2025 vid: 333 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 189355121 189355121 189355121 10.3233/SHTI251571 189355121 ppf: 28 ppct: 6 formats: tig: atl: A Personalised Digital Health Intervention for Prediabetes...Health Innovation Community, August 18-20, 2025, Melbourne Convention and Exhibition Centre, Melbourne, Australia. aug: au: THANTHRIGE, Ayesha ULAPANE, Nalika WICKRAMASINGHE, Nilmini affil: School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia sug: subj: Digital Health Prediabetic State Prevention and Control Prediabetic State Risk Factors Individualized Medicine Health Knowledge Evaluation World Wide Web Applications Evaluation Software Design Self-Management Telemedicine Human Congresses and Conferences Australia Australia Machine Learning Gamification Artificial Intelligence, Generative Chatbot Pilot Studies Usability Study Personal Satisfaction Descriptive Statistics Thematic Analysis User-Computer Interface Adolescence Adult Adolescent: 13-18 years Adult: 19-44 years ab: Prediabetes presents a critical window to prevent type 2 diabetes, a rising global health crisis, yet young adults often lack engaging preventive tools. This ongoing study aims to design and evaluate a web application to enhance health knowledge, engagement, and self-management for this at-risk group. This theoretical lens combines Design Science Research Methodology (DSRM), the theory of Task-Technology Fit (TTF), and the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed solution incorporates a unique combination of features learned through a previously conducted systematic literature review (SLR). Features include Machine Learning (ML)-based recommendations, educational modules, goal setting, gamification elements, and an artificial intelligence (AI)-incorporated chatbot. The proposed design to date is presented, in addition to the planned scenario-driven use cases to highlight the relevance of the proposed solution. A pilot study will assess usability, usefulness, satisfaction, and health knowledge via initial, midway, and final surveys mapped along with the design process. The data will be analysed via descriptive statistics and thematic analysis. This work-in-progress paper offers a streamlined, usercentred approach to designing and developing digital health interventions for prediabetes prevention while contributing insights for personalised digital health interventions. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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