research-article

Designing mobile health technology for bipolar disorder: a field trial of the monarca system

Authors:

Jakob E. Bardram,

Károly Szántó,

Maria Faurholt-Jepsen,

Lars Vedel KessingAuthors Info & Claims

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2627 - 2636

https://doi.org/10.1145/2470654.2481364

Published: 27 April 2013 Publication History

Abstract

An increasing number of pervasive healthcare systems are being designed, that allow people to monitor and get feedback on their health and wellness. To address the challenges of self-management of mental illnesses, we have developed the MONARCA system - a personal monitoring system for bipolar patients. We conducted a 14 week field trial in which 12 patients used the system, and we report findings focusing on their experiences. The results were positive; compared to using paper-based forms, the adherence to self-assessment improved; the system was considered very easy to use; and the perceived usefulness of the system was high. Based on this study, the paper discusses three HCI questions related to the design of personal health technologies; how to design for disease awareness and self-treatment, how to ensure adherence to personal health technologies, and the roles of different types of technology platforms.

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Index Terms

Designing mobile health technology for bipolar disorder: a field trial of the monarca system
1. Human-centered computing

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cover image ACM Conferences

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2013

3550 pages

ISBN:9781450318990

DOI:10.1145/2470654

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Copyright © 2013 ACM.

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Published: 27 April 2013

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Cited By

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https://doi.org/10.32628/IJSRST24116186
Adler DYang YViranda TXu XMohr DVan Meter ATartaglia JJacobson NWang FEstrin DChoudhury T(2024)Beyond Detection: Towards Actionable Sensing Research in Clinical Mental HealthcareProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997558:4(1-33)Online publication date: 21-Nov-2024
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Jo EZehrung RGenuario KPapoutsaki AEpstein D(2024)Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered CommunicationProceedings of the ACM on Human-Computer Interaction10.1145/36869978:CSCW2(1-26)Online publication date: 8-Nov-2024
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Faurholt‐Jepsen MBusk JTønning MRohani DBardram JKessing L(2024)Mood, Activity, and Instability in Bipolar Disorder and Unipolar Disorder—An Exploratory Post Hoc Study Using Digital DataActa Psychiatrica Scandinavica10.1111/acps.13771151:3(426-433)Online publication date: Dec-2024
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Volpe UElkholy HGargot TPinto da Costa MOrsolini L(2024)Devices, Mobile Health, and Digital PhenotypingTasman’s Psychiatry10.1007/978-3-030-51366-5_151(5191-5216)Online publication date: 5-Sep-2024
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