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Identifying and Planning for Individualized Change: Patient-Provider Collaboration Using Lightweight Food Diaries in Healthy Eating and Irritable Bowel Syndrome

Published: 29 March 2019 Publication History

Editorial Notes

A corrigendum was issued for this article on June 18, 2019. You can download the corrigendum from the source materials section of this citation page.

Abstract

Identifying and planning strategies that support a healthy lifestyle or manage a chronic disease often require patient-provider collaboration. For example, people with healthy eating goals often share everyday food, exercise, or sleep data with health coaches or nutritionists to find opportunities for change, and patients with irritable bowel syndrome (IBS) often gather food and symptom data as part of working with providers to diagnose and manage symptoms. However, a lack of effective support often prevents health experts from reviewing large amounts of data in time-constrained visits, prevents focusing on individual goals, and prevents generating correct, individualized, and actionable recommendations. To examine how to design photo-based diaries to help people and health experts exchange knowledge and focus on collaboration goals when reviewing the data together, we designed and developed Foodprint, a photo-based food diary. Foodprint includes three components: (1) A mobile app supporting lightweight data collection, (2) a web app with photo-based visualization and quantitative visualizations supporting collaborative reflection, and (3) a pre-visit note communicating an individual's expectations and questions to experts. We deployed Foodprint in two studies: (1) with 17 people with healthy eating goals and 7 health experts, and (2) with 16 IBS patients and 8 health experts. Building upon the lens of boundary negotiating artifacts and findings from two field studies, our research contributes design principles to (1) prepare individuals to collect data relevant to their health goals and for collaboration, (2) help health experts focus on an individual's eating context, experiences, and goals in collaborative review, and (3) support individuals and experts to develop individualized, actionable plans and strategies.

Supplementary Material

a7-Chung (imwut2019-chung-corrigendum.pdf)
Corrigendum to "Identifying and Planning for Individualized Change: Patient-Provider Collaboration Using Lightweight Food Diaries in Healthy Eating and Irritable Bowel Syndrome," by Chung et al., Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 3, Issue 1 (March 2019).

References

[1]
David J. Albers, Matthew Levine, Bruce Gluckman, Henry Ginsberg, George Hripcsak, and Lena Mamykina. 2017. Personalized glucose forecasting for type 2 diabetes using data assimilation.
[2]
American Gastroenterological Association. 2002. American Gastroenterological Association Medical Position Statement: Irritable Bowel Syndrome. Gastroenterology 123, 1: 2105--2107.
[3]
Tariq Andersen, Pernille Bjørn, Finn Kensing, and Jonas Moll. 2011. Designing for collaborative interpretation in telemonitoring: Reintroducing patients as diagnostic agents. International Journal of Medical Informatics 80, 8: e112--e126.
[4]
Stinne Aaløkke Ballegaard, Thomas Riisgaard Hansen, and Morten Kyng. 2008. Healthcare in everyday life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2008), 1807--1816.
[5]
Pamela Barney, Margaret Heitkemper, Monica Jarrett, and Rona L. Levy. 2010. Master your IBS: An 8-week plan to control the symptoms of irritable bowel syndrome.
[6]
Eric P. S. Baumer. 2018. Socioeconomic Inequalities in the Non use of Facebook. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), 1--14.
[7]
Eric P S Baumer, Sherri Jean Katz, Jill E Freeman, Phil Adams, Amy L Gonzales, John Pollak, Daniela Retelny, Jeff Niederdeppe, Christine M Olson, and Geri K Gay. 2012. Prescriptive Persuasion and Open-Ended Social Awareness: Expanding the Design Space of Mobile Health. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2012), 475--484.
[8]
Yves Béland. 2002. Canadian Community Health Survey - Methodological overview. Health Reports 13, 3: 9--14.
[9]
Wendy L. Bennett, Nae Yuh Wang, Kimberly A. Gudzune, Arlene T. Dalcin, Sara N. Bleich, Lawrence J. Appel, and Jeanne M. Clark. 2015. Satisfaction with primary care provider involvement is associated with greater weight loss: Results from the practice-based POWER trial. Patient Education and Counseling 98, 9: 1099--1105.
[10]
Frank Bentley, Konard Tollmar, Peter Stephenson, Laura Levy, Brian Johns, Jones Robertson, Ed Price, Richard Catrambone, and Jeff Willson. 2013. Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change. ACM Transactions on Computer-Human Interaction (TOCHI) 20, 5: 30.
[11]
Andrew B. L. Berry, Catherine Lim, Andrea L. Hartzler, Tad Hirsch, Edward H. Wagner, Evette Ludman, and James D. Ralston. 2017. How Values Shape Collaboration Between Patients with Multiple Chronic Conditions and Spousal Caregivers. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017), 5257--5270.
[12]
Leonard L. Berry, Janet Turner Parish, Ramkumar Janakiraman, Ogburn-Russell Lee, Glen R. Couchman, William L. Rayburn, and Jedidiah Grisel. 2008. Physician and Why It Matters. Annals Of Family Medicine: 6--13.
[13]
Lora E. Burke, Melanie Warziski, Terry Starrett, Jina Choo, Edvin Music, Susan Sereika, Susan Stark, and Mary Ann Sevick. 2005. Self-monitoring dietary intake: Current and future practices. Journal of Renal Nutrition 15, 3: 281--290.
[14]
Caroline Canavan, Joe West, and Timothy Card. 2014. The epidemiology of irritable bowel syndrome. Clinical Epidemiology 6, 1: 71--80.
[15]
Patsy Catsos. 2012. IBS-Free at Last. Change Your Carbs, Change Your Life with the FODMAP Elimination Diet. Verlag: Pond Cove Press.
[16]
Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel A. Epstein, Felicia Cordeiro, Matthew Kay, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, and Julie A. Kientz. 2017. Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. IEEE Pervasive Computing 16, 1: 74--84.
[17]
Eun Kyoung Choe, Bongshin Lee, Haining Zhu, Nathalie Henry Riche, and Dominikus Baur. 2017. Understanding Self-Reflection: How People Reflect on Personal Data Through Visual Data Exploration. In In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 173--182.
[18]
Chia-Fang Chung, Elena Agapie, Jessica Schroeder, Sonali Mishra, James Fogarty, and Sean A. Munson. 2017. When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2017), 1674--1687.
[19]
Chia-Fang Chung, Jonathan Cook, Elizabeth Bales, Jasmine Zia, and Sean A. Munson. 2015. More than telemonitoring: Health provider use and nonuse of life-log data in irritable bowel syndrome and weight management. Journal of Medical Internet Research 17, 8.
[20]
Chia-Fang Chung, Kristin Dew, Allison Cole, Jasmine Zia, James Fogarty, Julie A. Kientz, and Sean A. Munson. 2016. Boundary negotiating artifacts in personal informatics: Patient-provider collaboration with patient-generated data. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2016), 770--786.
[21]
James Clawson, Jessica Pater, Andrew Miller, Elizabeth Mynatt, and Lena Mamykina. 2015. No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist. ACM International Joint Conference on Pervasive and Ubiquitous Computing: 647--658.
[22]
Deborah J Cohen, Sara R Keller, Gillian R Hayes, David A Dorr, Joan S Ash, and Dean F Sittig. 2016. Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign. JMIR Human Factors 3, 2: e26.
[23]
Felicia Cordeiro, Elizabeth Bales, Erin Cherry, and James Fogarty. 2015. Rethinking the Mobile Food Journal. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2015), 3207--3216.
[24]
Felicia Cordeiro, Daniel A. Epstein, Edison Thomaz, Elizabeth Bales, Arvind K Jagannathan, Gregory D. Abowd, and James Fogarty. 2015. Barriers and negative nudges: exploring challenges in food journaling. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2015), 1159--1162.
[25]
Mary Jo Deering. 2013. Issue Brief: Patient-Generated Health Data and Health IT. The Office of the National Coordinator for Health Information Technology: 11. Retrieved from https://www.healthit.gov/sites/default/files/pghd_brief_final122013.pdf
[26]
Daniel A. Epstein, Felicia Cordeiro, Elizabeth Bales, James Fogarty, and Sean A. Munson. 2014. Taming data complexity in lifelogs:Exploring Visual Cuts of Personal Informatics Data. In In Proceedings of the 2014 conference on Designing interactive systems (DIS 2014), 667--676.
[27]
Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A Lived Informatics Model of Personal Informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 731--742.
[28]
Renée M. Ferrari, Anna Maria Siega-Riz, Kelly R. Evenson, Merry K. Moos, and Kathryn S. Carrier. 2013. A qualitative study of women's perceptions of provider advice about diet and physical activity during pregnancy. Patient Education and Counseling 91, 3: 372--377.
[29]
Katleen Gabriels and Tania Moerenhout. 2018. Exploring entertainment medicine and professionalization of self-care: Interview study among doctors on the potential effects of digital self-Tracking. Journal of Medical Internet Research 20, 1: 1--12.
[30]
Meghan Griffin. 2012. Ruptured feedback loops: Body image/schema and food journaling technologies. Feminism & Psychology 22, 3: 376--387.
[31]
Andrea Grimes and Richard Harper. 2008. Celebratory Technology: New Directions for Food Research in HCI. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2008): 467--476.
[32]
Albena Halpert, Christine B. Dalton, Olafur Palsson, Ae Carolyn, Morris Ae, Yuming Hu, Ae Shrikant, Bangdiwala Ae, Jane Hankins, Nancy Norton, and Douglas A. Drossman. 2010. Irritable Bowel Syndrome Patients' Ideal Expectations and Recent Experiences with Healthcare Providers: A National Survey. Digestive diseases and sciences 55, 2: 375--383.
[33]
F Hardin-Fanning and Y Gokun. 2014. Gender and age are associated with healthy food purchases via grocery voucher redemption. Rural Remote Health 14, 3: 2830.
[34]
Health Data Exploration Project. 2014. Personal Data for the Public Good: New Opportunities to Enrich Understanding of Individual and Population Health. Retrieved from https://www.rwjf.org/content/dam/farm/reports/reports/2014/rwjf411080
[35]
Reetta Heinonen, Riitta Luoto, Pirjo Lindfors, and Clas-Håkan Nygård. 2012. Usability and Feasibility of Mobile Phone Diaries in an Experimental Physical Exercise Study. Telemedicine and e-Health 18, 2: 115--119.
[36]
Karen Holtzblatt, Jessamyn Burns Wendell, and Shelley. Wood. 2004. Rapid contextual design: a how-to guide to key techniques for user-centered design. Elsevier, San Francisco, US.
[37]
Hsiu-Fang Hsieh and Sarah E. Shannon. 2005. Three Approaches to Qualitative Content Analysis. Qualitative Health Research 15, 9: 1277--1288.
[38]
Anne E Jamieson, Paula C Fletcher, and Margaret a Schneider. 2007. Seeking control through the determination of diet: a qualitative investigation of women with irritable bowel syndrome and inflammatory bowel disease. Clinical Nurse Specialist 21, 3: 152--160.
[39]
Haik Kalantarian, Nabil Alshurafa, and Majid Sarrafzadeh. 2017. A Survey of Diet Monitoring Technology. IEEE Pervasive Computing 16, 1: 57--65.
[40]
Ravi Karkar, Jessica Schroeder, Daniel A. Epstein, Laura R. Pina, Jeffrey Scofield, James Fogarty, Julie A. Kientz, Sean A. Munson, Roger Vilardaga, and Jasmine Zia. 2017. TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers.
[41]
Ravi Karkar, Jasmine Zia, Roger Vilardaga, Sonali R. Mishra, James Fogarty, Sean A. Munson, and Julie A. Kientz. 2016. A framework for self-experimentation in personalized health. Journal of the American Medical Informatics Association 23, 3: 440--448.
[42]
Yoojung Kim, Sookyoung Ji, Hyunjeong Lee, Jeong-whun Kim, Sooyoung Yoo, and Joongseek Lee. 2016. "My Doctor is Keeping an Eye on Me!": Exploring the Clinical Applicability of a Mobile Food Logger. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI 2016), 5620--5631.
[43]
Young-Ho Kim. 2017. OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol 1, 3.
[44]
Robert F. Kushner. 1995. Barriers to Providing Nutrition Counseling Cited by Physicians: A Survey of Primary Care Practitioners. Preventive Medicine 24, 5: 546--552.
[45]
Amanda Lazar, Christian Koehler, Joshua Tanenbaum, and David H. Nguyen. 2015. Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 635--646.
[46]
Charlotte P. Lee. 2007. Boundary negotiating artifacts: Unbinding the routine of boundary objects and embracing chaos in collaborative work. Computer Supported Cooperative Work 16, 3: 307--339.
[47]
Min Kyung Lee, Junsung Kim, Jodi Forlizzi, and Sara Kiesler. 2015. Personalization Revisited: A Reflective Approach Helps People Better Personalize Health Services and Motivates Them To Increase Physical Activity Personalization. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 743--754.
[48]
Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A Stage-Based Model of Personal Informatics Systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), 557--566.
[49]
Lena Mamykina, Elizabeth Heitkemper, Arlene M. Smaldone, Rita Kukafka, Heather Cole-Lewis, Patricia G. Davidson, Elizabeth D. Mynatt, Andrea Cassells, Jonathan N. Tobin, and George Hripcsak. 2017. Personal Discovery in Diabetes Self-Management: Discovering Cause and Effect Using Self-Monitoring Data. Journal of Biomedical Informatics 76, September: 1-8.
[50]
Lena Mamykina, E lizabeth D. Mynatt, Patricia R. Davidson, and Daniel Greenblatt. 2008. MAHI: Investigation of Social Scaffolding for Reflective Thinking in Diabetes Management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2008): 477--486.
[51]
Lena Mamykina, Arlene M. Smaldone, and Suzanne R. Bakken. 2015. Adopting the Sensemaking Perspective for Chronic Disease Self-Management. J Biomed Inform 56: 406--417.
[52]
Gabriela Marcu, Anind Dey, and Sara Kiesler. 2014. Designing for Collaborative Reflection. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, 9--16.
[53]
Amanda Martin and S Gerhardt. 2016. A third of people track their health or fitness. Who are they and why are they doing it? GfK Global studies: 1--3. Retrieved from http://www.gfk.com/global-studies/global-studies-fitness-tracking/
[54]
Helena M. Mentis, Anita Komlodi, Katrina Schrader, Michael Phipps, Ann Gruber-Baldini, Karen Yarbrough, and Lisa Shulman. 2017. Crafting a View of Self-Tracking Data in the Clinical Visit. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017), 5800--5812.
[55]
Helena M. Mentis, Rita Shewbridge, Sharon Powell, Melissa Armstrong, Paul Fishman, and Lisa Shulman. 2016. Co-Interpreting Movement With Sensors: Assessing Parkinson's Patients' Deep Brain Stimulation Programming. Human-Computer Interaction 31, 3--4: 227--260.
[56]
Nutrition Coordinating Center. 2008. Nutrition Data System for Research (NDS-R). Version 4: 34.
[57]
Andrea Grimes Parker. 2014. Reflection-through-performance: personal implications of documenting health behaviors for the collective. Personal and Ubiquitous Computing 18, 7: 1737--1752.
[58]
Laura R Pina, Sang-Wha Sien, Teresa Ward, Jason C Yip, Sean A Munson, James Fogarty, and Julie A Kientz. 2017. From Personal Informatics to Family Informatics: Understanding Family Practices around Health Monitoring.
[59]
Iris Posserud, Hans Strid, Stine Störsrud, Hans Törnblom, Ulla Svensson, Jan Tack, Lukas Van Oudenhove, and Magnus Simrén. 2013. Symptom pattern following a meal challenge test in patients with irritable bowel syndrome and healthy controls. United European gastroenterology journal 1, 5: 358--67.
[60]
Parisa Pouladzadeh and Shervin Shirmohammadi. 2017. Mobile Multi-Food Recognition Using Deep Learning. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 13, 3s: 36.
[61]
Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, and Tanzeem Choudhury. 2015. MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 707--718.
[62]
Shriti Raj, Mark W Newman, Joyce M Lee, and Mark S Ackerman. 2017. Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data: Challenges and Opportunities. Proceedings of the ACM on Human-Computer Interaction 1, CSCW: 88:1--88:18.
[63]
Meghan J Reading, Jacqueline A Merrill, and Meghan Reading. 2018. Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review. 0, February: 1-13.
[64]
Robyn Richmond, South Wales, Linda Kehoe, Nick Heather, Alex Wodak, South West, Sydney Area, Health Service, and Ian Webster. 1996. What Patients Think. 2.
[65]
Jessica Schroeder, Chia-Fang Chung, Daniel A Epstein, Ravi Karkar, Adele Parsons, Natalia Murinova, James Fogarty, and Sean A Munson. 2018. Examining Self-Tracking by People with Migraine: Goals, Needs, and Opportunities in a Chronic Health Condition. In In Proceedings of the 2018 on Designing Interactive Systems Conference 2018 (DIS 2018), 135--148.
[66]
Jessica Schroeder, Jane Hoffswell, Chia-Fang Chung, James Fogarty, Sean Munson, and Jasmine Zia. 2017. Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017), 1726--1739.
[67]
Brian K. Smith, Jeana Frost, Meltem Albayrak, and Rajneesh Sudhakar. 2007. Integrating glucometers and digital photography as experience capture tools to enhance patient understanding and communication of diabetes self-management practices. Personal and Ubiquitous Computing 11, 4: 273--286.
[68]
Ming Tai-Seale, Thomas G. McGuire, and Weimin Zhang. 2007. Time allocation in primary care office visits. Health Services Research 42, 5: 1871--1894.
[69]
Frances E Thompson and Amy F Subar. 2013. Dietary assessment methodology. In Nutrition in the Prevention and Treatment of Disease (Third Edition). Elsevier, 5--46.
[70]
USDA. ChooseMyPlate.gov. Retrieved from https://www.choosemyplate.gov/
[71]
US Department of Health and Human Services USDHHS. 2015. 2015-2020 Dietary Guidelines for Americans. Washington (DC): USDA.
[72]
Peter West, Richard Giordano, Max Van Kleek, and Nigel Shadbolt. 2016. The Quantified Patient in the Doctor's Office: Challenges & Opportunities. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI 2016), 3066--3078.
[73]
Peter West, Max Van Kleek, Richard Giordano, Mark J. Weal, and Nigel Shadbolt. 2018. Common Barriers to the Use of Patient-Generated Data Across Clinical Settings. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), 1--13.
[74]
Peter West, Max Van Kleek, Richard Giordano, Mark Weal, and Nigel Shadbolt. 2017. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 5, November 2017.
[75]
WHO. 2013. Global action plan for the prevention and control of noncommunicable diseases 2013-2020. World Health Organization: 102. https://doi.org/9789241506236
[76]
Sue Wilson, Lesley Roberts, Andrea Roalfe, Pam Bridge, and Sukhdev Singh. 2004. Prevalence of irritable bowel syndrome: a community survey. British Journal of General Practice 54, 504: 495--502. Retrieved August 21, 2017 from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1324800/pdf/bjpg54-495.pdf
[77]
Jasmine Zia, Chia-Fang Chung, Jessica Schroeder, Sean A. Munson, Julie A. Kientz, James Fogarty, Elizabeth Bales, Jeanette Schenk, and Margaret M. Heitkemper. 2016. The feasibility, usability, and clinical utility of traditional paper food and symptom journals for patients with irritable bowel syndrome. Neurogastroenterology and motility: the official journal of the European Gastrointestinal Motility Society.
[78]
Jasmine Zia, Chia-Fang Chung, Kaiyuan Xu, Yi Dong, Jeanette Schenk, Kevin Cain, Sean Munson, and Margaret Heitkemper. 2017. Inter-Rater Reliability of Provider Interpretations of Irritable Bowel Syndrome Food and Symptom Journals. Journal of Clinical Medicine 6, 11: 105.

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    cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 3, Issue 1
    March 2019
    786 pages
    EISSN:2474-9567
    DOI:10.1145/3323054
    Issue’s Table of Contents
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    Publication History

    Published: 29 March 2019
    Accepted: 01 January 2019
    Revised: 01 November 2018
    Received: 01 August 2018
    Published in IMWUT Volume 3, Issue 1

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    Author Tags

    1. Self-tracking
    2. collaboration
    3. food
    4. patient-generated health data
    5. patient-provider collaboration
    6. personal informatics

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