research-article

Adherence to Personal Health Devices: A Case Study in Diabetes Management

Authors:

Temiloluwa PrioleauAuthors Info & Claims

PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 62 - 72

https://doi.org/10.1145/3421937.3421977

Published: 02 February 2021 Publication History

Abstract

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper takes a data mining approach to study continuous glucose monitor use in diabetes management. We evaluate two independent datasets from a total of 44 subjects for 60 - 270 days. Our results show that: 1) missed target goals (i.e. suboptimal outcomes) is a factor that is associated with wearing behavior of personal health devices, and 2) longer duration of non-adherence, identified through missing data or data gaps, is significantly associated with poorer outcomes. More specifically, we found that up to 33% of data gaps occurred when users were in abnormal blood glucose categories. The longest data gaps occurred in the most severe (i.e. very low / very high) glucose categories. Additionally, subjects with poorly-controlled diabetes had longer average data gap duration than subjects with well-controlled diabetes. This work contributes to the literature on the design of context-aware systems that can leverage data-driven approaches to understand factors that influence non-wearing behavior. The results can also support targeted interventions to improve health outcomes.

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Index Terms

Adherence to Personal Health Devices: A Case Study in Diabetes Management
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. User studies

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cover image ACM Other conferences

PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2020

446 pages

ISBN:9781450375320

DOI:10.1145/3421937

Editors:
Sean A. Munson
Human Centered Design & Engineering, University of Washington
,
Stephen M. Schueller
University of California, Irvine
,
General Chair:
Rosa Arriaga
Georgia Institute of Technology, USA

Copyright © 2020 ACM.

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: 02 February 2021

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PervasiveHealth '20

PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 18 - 20, 2020

GA, Atlanta, USA

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PervasiveHealth '20 Paper Acceptance Rate 55 of 116 submissions, 47%;

Overall Acceptance Rate 55 of 116 submissions, 47%

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Cited By

Fallah MBickmore TOlafsson SPaasche-Orlow MMrkva AMagnani J(2024)Exploring the Potential of Virtual Agents in Atrial Fibrillation Management: Insights from a Randomized TrialProceedings of the 24th ACM International Conference on Intelligent Virtual Agents10.1145/3652988.3673955(1-9)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3652988.3673955
Lien CVhaduri S(2023)Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A SurveyACM Computing Surveys10.1145/360370556:1(1-37)Online publication date: 13-Jun-2023
https://dl.acm.org/doi/10.1145/3603705
Bartolome AShah SPrioleau T(2021)GlucoMineProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781095:3(1-24)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478109
Prioleau TSabharwal AVasudevan MArriaga R(2020)Understanding Reflection Needs for Personal Health Data in DiabetesProceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3421937.3421972(263-273)Online publication date: 18-May-2020
https://dl.acm.org/doi/10.1145/3421937.3421972
Vhaduri S(2020)Nocturnal Cough and Snore Detection Using Smartphones in Presence of Multiple Background-NoisesProceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3378393.3402273(174-186)Online publication date: 15-Jun-2020
https://dl.acm.org/doi/10.1145/3378393.3402273

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