Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management

Author:

Schroeder Jessica1,Karkar Ravi1,Murinova Natalia2,Fogarty James1,Munson Sean A.3

Affiliation:

1. Computer Science & Engineering, University of Washington

2. Headache Clinic, University of Washington

3. Human Centered Design & Engineering, University of Washington

Abstract

Although self-tracking offers potential for a more complete, accurate, and longer-term understanding of personal health, many people struggle with or fail to achieve their goals for health-related self-tracking. This paper investigates how to address challenges that result from current self-tracking tools leaving a person's goals for their data unstated and lacking explicit support. We examine supporting people and health providers in expressing and pursuing their tracking-related goals via goal-directed self-tracking, a novel method to represent relationships between tracking goals and underlying data. Informed by a reanalysis of data from a prior study of migraine tracking goals, we created a paper prototype to explore whether and how goal-directed self-tracking could address current disconnects between the goals people have for data in their chronic condition management and the tools they use to support such goals. We examined this prototype in interviews with 14 people with migraine and 5 health providers. Our findings indicate the potential for scaffolding goal-directed self-tracking to: 1) elicit different types and hierarchies of management and tracking goals; 2) help people prepare for all stages of self-tracking towards a specific goal; and 3) contribute additional expertise in patient-provider collaboration. Based on our findings, we present implications for the design of tools that explicitly represent and support an individual's specific self-tracking goals.

Funder

National Institutes of Health

National Science Foundation

National Center for Advancing Translational Sciences

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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1. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors;JMIR Diabetes;2023-10-31

2. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27

3. Goals for Goal Setting: A Scoping Review on Personal Informatics;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

4. “I left my legacy, told my story”: Understanding Older Adults’ Tracking Practices to Promote Active Aging;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

5. Designing for Integration: Promoting Self-Congruence to Sustain Behavior Change;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

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