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MAHI: investigation of social scaffolding for reflective thinking in diabetes management
Abstract
In the recent years, the number of individuals engaged in self-care of chronic diseases has grown exponentially. Advances in computing technologies help individuals with chronic diseases collect unprecedented volumes of health-related data. However, engaging in reflective analysis of the collected data may be challenging for the untrained individuals. We present MAHI, a health monitoring application that assists newly diagnosed individuals with diabetes in acquiring and developing reflective thinking skills through social interaction with diabetes educators. The deployment study with twenty five newly diagnosed individuals with diabetes demonstrated that MAHI significantly contributed to individuals' achievement of their diabetes management goals (changing diet). More importantly, MAHI inspired individuals to adopt Internal Locus of Control, which often leads to persistent engagement in self-care and positive health outcomes.
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“The first deployment study [27] for newly diagnosed patients revealed that many participants considered that intensive and focused exchange with the educator by using MAHI would be “most beneficial at the beginning of their engagement with diabetes management”.”
From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [27]
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Metadata
- Authors
- Mamykina, L., Mynatt, E., Davidson, P., & Greenblatt, D.
- Affiliations
- Siemens (United States) (US)
- Georgia Institute of Technology (US)
- St. Clair Hospital, Dover, NJ, USA
- Motorola (United States) (US)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2008-04-06
- Pages
- 477-486
- OpenAlex
- W2142477234
- Cited by
- 355
- References
- 25
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 18 · 2023: 21 · 2022: 14 · 2021: 20 · 2020: 15 · 2019: 24 · 2018: 21 · 2017: 32 · 2016: 25 · 2015: 27 · 2014: 22 · 2013: 23 · 2012: 19
- FWCI
- 107.50
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- diabetes self-management, newly diagnosed diabetes, health monitoring applications, reflective thinking, internal locus of control, dietary change, chronic disease self-management
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