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Take it personally: accounting for individual difference in designing diabetes management systems

Published: 16 August 2010 Publication History

Abstract

The goal of this study was to investigate how diabetes patients use health information to support their daily disease management. A qualitative interview study was conducted with type-2 diabetes patients and healthcare providers. The analysis suggests that individual diabetes patients have a unique way of managing their care through the interpretation of personal health experiences. The ways in which patients learn to interact with their diabetes are detailed in this paper in four themes: understanding typical life routine, accommodating atypical activities, disproving & discovering healthy tips and reevaluating personal expectations. The findings of this study call for a diabetes management system that addresses a patient's physiological, social and psychological activities within the process of individual disease management. The finding opens up new opportunities for designing interactive systems to account for individual differences, encouraging positive patient involvement and sustaining long-term health outcomes.

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          cover image ACM Other conferences
          DIS '10: Proceedings of the 8th ACM Conference on Designing Interactive Systems
          August 2010
          457 pages
          ISBN:9781450301039
          DOI:10.1145/1858171
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 16 August 2010

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          1. diabetes management
          2. individual experience
          3. personal health experience

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          • (2024)Flexible Minimalist Self-Tracking to Support Individual ReflectionACM Transactions on Computer-Human Interaction10.1145/366033931:3(1-35)Online publication date: 23-Apr-2024
          • (2024)“Obviously, Nothing's Gonna Happen in Five Minutes”: How Adolescents and Young Adults Infrastructure Resources to Learn Type 1 Diabetes ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642612(1-16)Online publication date: 11-May-2024
          • (2024)GlucoMaker: Enabling Collaborative Customization of Glucose MonitorsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642435(1-21)Online publication date: 11-May-2024
          • (2024)"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642234(1-21)Online publication date: 11-May-2024
          • (2023)Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning ModelsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581424(1-20)Online publication date: 19-Apr-2023
          • (2023)Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to UniversityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580901(1-16)Online publication date: 19-Apr-2023
          • (2022)Patient Work Personas of Type 2 Diabetes—A Data-Driven Approach to Persona Development and ValidationFrontiers in Digital Health10.3389/fdgth.2022.8386514Online publication date: 23-Jun-2022
          • (2021)Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care TechnologiesProceedings of the ACM on Human-Computer Interaction10.1145/34796015:CSCW2(1-26)Online publication date: 18-Oct-2021
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