ABSTRACT
When self-tracking encounters clinical practices, the data is reshaped by goals and expertise that exist within a healthcare framework. To uncover these shaping practices, we provided a Fitbit Zip step-count sensor to nine patients with Parkinson's disease. Each patient wore the sensor for four weeks and then returned for a clinical visit with their neurologist. Our analysis focuses on this first clinical visit after four weeks of data had been collected. Our use of conversation analysis of both talk and action makes visible the practices engaged in by both collaborative members to 'craft a view' of the data toward shared decision making. Our findings reveal the deliberate guiding of attention to specific interpretations of the data through both talk and actions and we explain how our systematic analysis has uncovered tools for the mutually beneficial crafting practices of the clinician and patient.
- Margunn Aanestad. 2003. The Camera as an Actor. Design-in-Use of Telemedicine Infrastructure in Surgery. Computer Supported Cooperative Work (CSCW) 12, 1: 1--20. Google ScholarDigital Library
- Rikke Aarhus, Stinne Aaløkke Ballegaard, and Thomas Riisgaard Hansen. 2009. The eDiary: Bridging home and hospital through healthcare technology. In ECSCW 2009. Springer London, London, 63--83.Google ScholarCross Ref
- Morana Alac. 2008. Working with Brain Scans: Digital Images and Gestural Interaction in fMRI Laboratory. Social Studies of Science 38, 4: 483--508.Google ScholarCross Ref
- Tariq Andersen, Pernille Bjørn, Finn Kensing, and Jonas Moll. 2011. Designing for collaborative interpretation in telemonitoring: Re-introducing patients as diagnostic agents. International Journal of Medical Informatics 80, 8: e112--e126.Google ScholarCross Ref
- Arlene S. Bierman. 2001. Functional status: the six vital sign. Journal of general internal medicine 16, 11: 785--6.Google ScholarCross Ref
- Chia-Fang Chung, Kristin Dew, Allison M. Cole, et al. 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 '16, 768--784. Google ScholarDigital Library
- Terry Ellis, James T. Cavanaugh, Gammon M. Earhart, et al. 2011. Factors associated with exercise behavior in people with Parkinson disease. Physical therapy 91, 12: 1838--48.Google Scholar
- Terry Ellis, Nancy K. Latham, Tamara R. DeAngelis, Cathi A. Thomas, Marie Saint-Hilaire, and Timothy W. Bickmore. 2013. Feasibility of a virtual exercise coach to promote walking in community-dwelling persons with Parkinson disease. American journal of physical medicine & rehabilitation / Association of Academic Physiatrists 92, 6: 472--81--5.Google Scholar
- Brittany Fiore-Gartland and Gina Neff. 2015. Communication, Mediation, and the Expectations of Data: Data Valences Across Health and Wellness Communities. International Journal of Communication 9, 0: 19.Google Scholar
- Claire F. Fitzsimons, Graham Baker, Stuart R. Gray, et al. 2012. Does physical activity counselling enhance the effects of a pedometer-based intervention over the long-term: 12-month findings from the Walking for Wellbeing in the west study. BMC Public Health 12, 1: 206.Google ScholarCross Ref
- Lauren J. Frensham, Dorota M. Zarnowiecki, Gaynor Parfitt, Sharron King, and James Dollman. 2014. The experiences of participants in an innovative online resource designed to increase regular walking among rural cancer survivors: a qualitative pilot feasibility study. Supportive Care in Cancer 22, 7: 1923--1929.Google ScholarCross Ref
- Merrill Funk and E. Laurette Taylor. Pedometer-Based Walking Interventions for Free-Living Adults with Type 2 Diabetes: A Systematic Review.Google Scholar
- Nicholas D. Gilson, Guy Faulkner, Marie H. Murphy, et al. 2013. Walk@Work: An automated intervention to increase walking in university employees not achieving 10,000 daily steps. Preventive medicine 56, 5: 283--7.Google Scholar
- Charles Goodwin. 1981. Conversational Organization: Interaction Between Speakers and Hearers.Google Scholar
- Charles Goodwin. 1994. Professional Vision. American Anthropologist 96, 3: 606--633.Google ScholarCross Ref
- Christian Heath, Jon Hindmarsh, and Paul Luff. 2010. Video in Qualitative Research. SAGE Publications.Google Scholar
- Christian Heath and Paul Luff. 2012. Embodied Action and Organizational Activity. In The Handbook of Conversation Analysis. John Wiley & Sons, Ltd, Chichester, UK, 281--307.Google Scholar
- Alexa Hepburn and Galina B. Bolden. 2012. The Conversation Analytic Approach to Transcription. In The Handbook of Conversation Analysis. John Wiley & Sons, Ltd, Chichester, UK, 57--76.Google Scholar
- Stefan Hirschauer. 1991. The Manufacture of Bodies in Surgery. Social Studies of Science 21, 2: 279--319.Google ScholarCross Ref
- Kelly Joyce. 2005. Appealing Images: Magnetic Resonance Imaging and the Production of Authoritative Knowledge. Social Studies of Science 35, 3: 437--462.Google ScholarCross Ref
- Bonnie Kaplan. 1995. Objectification and negotiation in interpreting clinical images: implications for computer-based patient records. Artificial Intelligence in Medicine 7, 5: 439--454.Google ScholarCross Ref
- Yoojung Kim, Sookyoung Ji, Hyunjeong Lee, Jeong-Whun Kim, Sooyoung Yoo, and Joongseek Lee. 2016. "My Doctor is Keeping an Eye on Me!" In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems CHI '16, 5620--5631. Google ScholarDigital Library
- Clemens Scott Kruse, Darcy A. Argueta, Lynsey Lopez, and Anju Nair. 2015. Patient and provider attitudes toward the use of patient portals for the management of chronic disease: a systematic review. Journal of medical Internet research 17, 2: e40.Google ScholarCross Ref
- Lonneke M. L. de Lau and Monique M. B. Breteler. 2006. Epidemiology of Parkinson's disease. The Lancet Neurology 5, 6: 525--535.Google ScholarCross Ref
- Charlotte P. Lee. 2007. Boundary Negotiating Artifacts: Unbinding the Routine of Boundary Objects and Embracing Chaos in Collaborative Work. Computer Supported Cooperative Work (CSCW) 16, 3: 307--339. Google ScholarDigital Library
- Suzanne M. McDonough, Mark A. Tully, Adele Boyd, et al. 2013. Pedometer-driven walking for chronic low back pain: a feasibility randomized controlled trial. The Clinical journal of pain 29, 11: 972--81.Google Scholar
- Helena M. Mentis and Carolina Johansson. 2013. Seeing movement qualities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems CHI '13, 3375. Google ScholarDigital Library
- Helena M. Mentis, Ahmed Rahim, and Pierre Theodore. 2016. Crafting the Image in Surgical Telemedicine. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing CSCW '16, 742--753. Google ScholarDigital Library
- 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. Google ScholarDigital Library
- Helena M. Mentis, Rita Shewbridge, Sharon Powell, Paul Fishman, and Lisa Shulman. 2015. Being Seen. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems CHI '15, 511--520. Google ScholarDigital Library
- Annemarie Mol. 2002. The Body Multiple: Ontology in Medical Practice. Duke University Press, Durham, NC.Google Scholar
- Annemarie Mol. 2008. The Logic of Care: Health and the Problem of Patient Choice. Routledge, NY.Google Scholar
- Marilyn L. Moy, Nicole A. Weston, Elizabeth J. Wilson, Michael L. Hess, and Caroline R. Richardson. 2012. A pilot study of an Internet walking program and pedometer in COPD. Respiratory medicine 106, 9: 1342--50.Google Scholar
- Gina Neff and Dawn Nafus. 2016. Self-Tracking. MIT Press, Cambridge, MA. Google ScholarDigital Library
- Marlies van Nimwegen, Arlène D. Speelman, Esther J. M. Hofman-van Rossum, et al. 2011. Physical inactivity in Parkinson's disease. Journal of Neurology 258, 12: 2214--2221.Google ScholarCross Ref
- Mitesh S. Patel, David A. Asch, Kevin G. Volpp, et al. 2015. Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change. JAMA 313, 5: 459.Google ScholarCross Ref
- Amit Prasad. 2005. Making Images/Making Bodies: Visibilizing and Disciplining through Magnetic Resonance Imaging (MRI). Science, Technology & Human Values 30, 2: 291--316.Google ScholarCross Ref
- D. A. Redelmeier and A. Tversky. 1996. On the belief that arthritis pain is related to the weather. Proceedings of the National Academy of Sciences 93, 7: 2895--2896.Google ScholarCross Ref
- Ronel Roos, Hellen Myezwa, Helena van Aswegen, and Eustasius Musenge. 2014. Effects of an Education and Home-Based Pedometer Walking Program on Ischemic Heart Disease Risk Factors in People Infected with HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes 67, 3: 268--276.Google ScholarCross Ref
- Hanneke Schuurmans, Nardi Steverink, Siegwart Lindenberg, Nynke Frieswijk, and Joris P. J. Slaets. 2004. Old or frail: what tells us more? The journals of gerontology. Series A, Biological sciences and medical sciences 59, 9: M962-5.Google Scholar
- Lisa M. Shulman, Leslie I. Katzel, Frederick M. Ivey, et al. 2013. Randomized Clinical Trial of 3 Types of Physical Exercise for Patients With Parkinson Disease. JAMA Neurology 70, 2: 183.Google ScholarCross Ref
- Cristiano Storni. The politics of design in Sociotechnical dispositif. Reconciling Healthcare toward a future patient-centric perspective. In Interact.Google Scholar
- Thomas Sue and Doug MacMahon. 2004. Parkinson's disease, palliative care and older people: part 2: by reading this article and writing a practice profile, you can gain ten continuing education points (CEPs). You have up to a year to send in your practice profile. Guidelines on how to write. Nursing Older People 16, 2: 22--28.Google Scholar
- Jane E. Sullivan, Lauren E. Espe, Amanda M. Kelly, Laura E. Veilbig, and Mary J. Kwasny. 2014. Feasibility and Outcomes of a Community-Based, Pedometer-Monitored Walking Program in Chronic Stroke: A Pilot Study. Topics in Stroke Rehabilitation 21, 2: 101--110.Google ScholarCross Ref
- Sara Urowitz, David Wiljer, Kourtney Dupak, et al. 2012. Improving diabetes management with a patient portal: a qualitative study of diabetes self-management portal. Journal of medical Internet research 14, 6: e158.Google ScholarCross Ref
- Peter West, Richard Giordano, Max Van Kleek, and Nigel Shadbolt. 2016. The Quantified Patient in the Doctor's Office. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems CHI '16, 3066--3078. Google ScholarDigital Library
Index Terms
- Crafting a View of Self-Tracking Data in the Clinical Visit
Recommendations
Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing SystemsPrevious research suggests an important role for self-tracking in promoting mental wellness. Recent studies with college student populations have examined the feasibility of collecting everyday mood, activity, and social data. However, these studies do ...
On the Integration of Self-tracking Data amongst Quantified Self Members
BCS-HCI '14: Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014 - Sand, Sea and Sky - Holiday HCISelf-tracking, the process of recording one's own behaviours, thoughts and feelings, is a popular approach to enhance one's self-knowledge. While dedicated self-tracking apps and devices support data collection, previous research highlights that the ...
Looking for the unusual: how older adults utilize self-tracking techniques for health management
PervasiveHealth '16: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for HealthcareSelf-tracking applications for health management have become popular both in industry and in academia. Half of older adults in the U.S. track health indicators, but they rarely use technology for that purpose. We conduct a qualitative study to ...
Comments