research-article

Opportunities for Collaborative Clinical Work: Predicting Relapse Onset in Bipolar Disorder from Online Behavior

Authors:

Johnna Blair,

Dahlia Mukherjee,

Erika F.H. Saunders,

Saeed AbdullahAuthors Info & Claims

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

Pages 234 - 238

https://doi.org/10.1145/3421937.3421947

Published: 02 February 2021 Publication History

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Abstract

Bipolar disorder (BD) can negatively impact the lives of individuals. Symptoms of BD can manifest not only in their offline behaviors, but online as well. Being able to identify manic and depressive mood episodes early on can lead to more effective interventions. In this work, we focus on understanding the feasibility and acceptance of an early warning system for patients with BD that leverages online behavioral data to infer mood episode onset. For this, we interview three participants with BD to probe how they envision this type of intervention system and might use it to manage BD. Our goal is to uncover the opportunities and constraints of the future of work in BD healthcare that connects intelligent tools and objective data to provide an effective partnership between patients, caregivers, and clinicians. Toward this goal, in this paper, we focused on understanding concerns and gathering design ideas from patients with BD. We present this study as a case for a new type of work, incorporating clinical perspectives from start to finish-both as collaborators and active participants---to enhance clinical work experiences and provide better care.

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Cited By

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Qiu LBlair JAbdullah S(2024)Managing Finances for Persons Living with Dementia: Current Practices and Challenges for Care PartnersExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650809(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650809
Brozena JBlair JRichardson TMatthews MMukherjee DSaunders EAbdullah S(2024)Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642645(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642645
Blair JMukherjee DSaunders EAbdullah S(2023)Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar DisorderProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581563(1-12)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581563

Index Terms

Opportunities for Collaborative Clinical Work: Predicting Relapse Onset in Bipolar Disorder from Online Behavior
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Collaborative and social computing

Index terms have been assigned to the content through auto-classification.

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Published In

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

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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

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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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Qiu LBlair JAbdullah S(2024)Managing Finances for Persons Living with Dementia: Current Practices and Challenges for Care PartnersExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650809(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650809
Brozena JBlair JRichardson TMatthews MMukherjee DSaunders EAbdullah S(2024)Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642645(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642645
Blair JMukherjee DSaunders EAbdullah S(2023)Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar DisorderProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581563(1-12)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581563

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Recommendations

Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar Disorder

Designing for Serious Mental Illnesses: Enabling Early Detection and Supporting Financial Wellbeing in Bipolar Disorder

The Multiplicative Patient and the Clinical Workflow: Clinician Perspectives on Social Interfaces for Self-Tracking and Managing Bipolar Disorder

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