The increasing adoption of smartphones and fitness devices creates an opportunity for collection of vast amounts of health and wellness data, including diet, physical activity, location, sleep, and symptoms. The ability for individuals or medical teams to make use of this data in ways that improve wellness or quality of healthcare, however, has not kept pace with the ability to collect it. We propose to apply contextual inquiry and user centered design to understand patient and provider attitudes, values, and aspirations for sharing patient lifelog data with medical teams. Such sharing has the potential to increase patient engagement and to support the medical team's guidance and decision- making. We will focus on how this data might be used to improve care for patients with irritable bowel syndrome (an example of a chronic disease) and patients who seek to maintain or reduce their weight (an example of preventive medicine). These two conditions have high individual and economic costs. Based on identified opportunities and values, we will iteratively develop and gather feedback on prototype summaries and visualizations. Finally, we will conduct a feasibility evaluation of the most promising approaches, in which we prepare summaries of actual patient data, make it available for use by providers, observe patient-provider interactions, and conduct semi-structured interviews. The end result will be prototype visualizations and summaries that use patient lifelog data to support IBS and weight loss/maintenance care, an understanding of patient and medical team concerns, aspirations, and values related to the use of such HIT systems, and generalized design principles for designing HIT systems that make patient lifelog data available to health providers. We will publish the design principles, our software for generating summaries, and design artifacts (e.g. low-fidelity prototypes). To accomplish this work; we have assembled a multidisciplinary team, including experts in human centered design and engineering, computer science, family medicine care, and gastroenterology. The project team has experience with contextual inquiry, user-centered design, and evaluation of health and wellness applications.

Public Health Relevance

We will apply contextual inquiry and user centered design to understand patient and health provider attitudes, values, and aspirations for sharing patient lifelog data with medical teams, and how this data might be used to improve care for chronic disease and preventive medicine. We will conduct a feasibility evaluation of the most promising summaries and representations of this data and develop generalized design principles.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HS023654-02
Application #
8927543
Study Section
Health Care Technology and Decision Science (HTDS)
Program Officer
AL-Showk, Shafa
Project Start
2014-09-30
Project End
2017-09-29
Budget Start
2015-09-30
Budget End
2017-09-29
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Chung, Chia-Fang; Agapie, Elena; Schroeder, Jessica et al. (2017) When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating. Proc SIGCHI Conf Hum Factor Comput Syst 2017:1674-1687
Epstein, Daniel A; Lee, Nicole B; Kang, Jennifer H et al. (2017) Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. Proc SIGCHI Conf Hum Factor Comput Syst 2017:6876-6888
Schroeder, Jessica; Hoffswell, Jane; Chung, Chia-Fang et al. (2017) Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals. CSCW Conf Comput Support Coop Work 2017:1726-1739
Zia, J K; Chung, C-F; Schroeder, J et al. (2017) The feasibility, usability, and clinical utility of traditional paper food and symptom journals for patients with irritable bowel syndrome. Neurogastroenterol Motil 29:
Karkar, Ravi; Schroeder, Jessica; Epstein, Daniel A et al. (2017) TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers. Proc SIGCHI Conf Hum Factor Comput Syst 2017:6850-6863
Zia, Jasmine; Chung, Chia-Fang; Xu, Kaiyuan et al. (2017) Inter-Rater Reliability of Provider Interpretations of Irritable Bowel Syndrome Food and Symptom Journals. J Clin Med 6:
Karkar, Ravi; Zia, Jasmine; Vilardaga, Roger et al. (2016) A framework for self-experimentation in personalized health. J Am Med Inform Assoc 23:440-8
Epstein, Daniel A; Caraway, Monica; Johnston, Chuck et al. (2016) Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use. Proc SIGCHI Conf Hum Factor Comput Syst 2016:1109-1113
Zia, Jasmine; Schroeder, Jessica; Munson, Sean et al. (2016) Feasibility and Usability Pilot Study of a Novel Irritable Bowel Syndrome Food and Gastrointestinal Symptom Journal Smartphone App. Clin Transl Gastroenterol 7:e147
Chung, Chia-Fang; Dew, Kristin; Cole, Allison et al. (2016) Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data. CSCW Conf Comput Support Coop Work 2016:770-786

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