Erik Grönvall
Nervo Verdezoto
ABSTRACT
Monitoring of health parameters in non-clinical settings is one strategy to address the increasingly aging population and age-related disabilities and diseases. However, challenges exist when introducing self-monitoring activities in people's everyday life. An active lifestyle can challenge the appropriation of healthcare technologies and people with comorbidity may have diverse but co-existing monitoring needs. In this paper, we seek to understand home-based health monitoring practices to better design and integrate them into people's everyday life. We perform an analysis of socio-technical complexities in home-based healthcare technologies through three case studies of self-monitoring: 1) pre-eclampsia (i.e. pregnancy poisoning), 2) heart conditions, and 3) preventive care. Through the analysis seven themes emerged (people, resources, places, routines, knowledge, control and motivation) that can facilitate the understanding of home-based healthcare activities. We present three modes of self-monitoring use and provide a set of design recommendations for future Ubicomp designs of home-based healthcare technology.
- Andreassen, H.K. What does an e-mail address add? - Doing health and technology at home. Social Science & Medicine, 72(2011), 521--528.Google Scholar
Cross Ref
- Arnrich, B., Mayora, O., Bardram, J., Tröster, G. Pervasive healthcare: paving the way for a pervasive, user-centered and preventive healthcare model. Methods of information in medicine, 49(2010), 67.Google Scholar
- Ashiful, A., Zarifi Eslami, M., and Sikkel, K. Elderly and homecare tasks: A literature review on problems. In Proc. eHealth 2012, IADIS Press (2012).Google Scholar
- Axelrod, L., Fitzpatrick, G., Burridge, J., et al. The reality of homes fit for heroes: design challenges for rehabilitation technology at home. Journal of Assistive Technologies, 3(2009).Google Scholar
- Ballegaard, S.A., Hansen, T.R., and Kyng, M. Healthcare in everyday life: designing healthcare services for daily life. In Proc.CHI 2008, ACM Press (2008), 1807--1816. Google ScholarDigital Library
- Bates, M. Toward An Integrated Model of Information Seeking and Searching. Graduate School of Education and Information Studies, 2003.Google Scholar
- Bossen, C. The parameters of common information spaces:: the heterogeneity of cooperative work at a hospital ward. In Proc. CSCW 2002, ACM Press (2002). Google ScholarDigital Library
- Chen, Y. Take it personally: accounting for individual difference in designing diabetes management systems. In Proc. DIS 2010, ACM Press (2010), 252--261. Google ScholarDigital Library
- Chen, Y. Health information use in chronic care cycles. In Proc.CSCW 2011, ACM Press (2011), 485--488. Google ScholarDigital Library
- Clemensen, J., Craggs, M.A., Marcussen, C. et al. Chronically Ill Citizens and Home Monitoring: "Nothing to talk about!". In Proc. eTELEMED 2013, IARIA (2013).Google Scholar
- Consolvo, S., Roessler, P., and Shelton, B. The CareNet Display: Lessons Learned from an In Home Evaluation of an Ambient Display. In Proc. UbiComp 2004, Springer (2004). p. 1--17.Google ScholarCross Ref
- Dalgaard, L.G., Grönvall, E., and Verdezoto, N. Accounting for Medication Particularities: Designing for Everyday Medication Management. In Proc. Pervasive Health 2013, IEEE (2013).Google ScholarDigital Library
- Grönvall, E. and Kyng, M. On participatory design of home-based healthcare. Cognition, Technology & Work, 2012, 1--13.Google Scholar
- Grönvall, E. and Verdezoto, N. Understanding Challenges and Opportunities of Preventive Blood Pressure Self-Monitoring at Home. In Proc. ECCE 2013, ACM Press (2013). Google ScholarDigital Library
- Heart, T. and Kalderon, E. Older adults: Are they ready to adopt health-related ICT? International Journal of Medical Informatics (in press).Google Scholar
- Kalpana, S. Aging, Privacy, and Home-Based Computing: Developing a Design Framework. Perv. Comp, 2012, 11(4), p. 46--54. Google ScholarDigital Library
- Korhonen, I., Parkka, J., and Van Gils, M. Health monitoring in the home of the future. EMBS Mag., IEEE, 22(2003), 66--73.Google ScholarCross Ref
- Li, I., Dey, A.K., and Forlizzi, J. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proc. UbiComp, ACM Press (2011). Google ScholarDigital Library
- Lupton, D. M-health and health promotion: The digital cyborg and surveillance society. Soc Theory Health, 10(2012), 229--244.Google ScholarCross Ref
- Mamykina, L., Mynatt, E., Davidson, P., et al. MAHI: investigation of social scaffolding for reflective thinking in diabetes management. In Proc. CHI 2008, ACM Press (2008), 477--486. Google ScholarDigital Library
- Milligan, C., Roberts, C., and Mort, M. Telecare and older people: Who cares where? Social Science & Medicine, 72(2011), 347--354.Google ScholarCross Ref
- Morris, M., Intille, S., and Beaudin, J. Embedded assessment: Overcoming barriers to early detection with pervasive computing. Pervasive Computing, 2005. Google ScholarDigital Library
- Palen, L. and Ballegaard, S. Of pill boxes and piano benches: "home-made" methods for managing medication. In Proc. CSCW 2006, ACM Press (2006). Google ScholarDigital Library
- Patton, M.Q. Qualitative research & evaluation methods. 2001: Sage Publications, Incorporated.Google Scholar
- Rogers, Y. Moving on from Weiser's Vision of Calm Computing: Engaging UbiComp Experiences. In Proc. UbiComp 2006, Springer (2006). p. 404--42 Google ScholarDigital Library
- Slovák, P., Janssen, J., and Fitzpatrick, G. Understanding heart rate sharing: towards unpacking physiosocial space. In Proc. CHI 2012, ACM Press (2012), 859--868. Google ScholarDigital Library
- Steele, R. and Lo, A. Future Personal Health Records as a Foundation for Computational Health. ICCSA 2009, Springer (2009), 719--733. Google ScholarDigital Library
- Tentori, M., Hayes, G.R., and Reddy, M. Pervasive Computing for Hospital, Chronic, and Preventive Care. Found. Trends Hum.-Comput. Interact., 5(2012), 1--95. Google ScholarDigital Library
- Wallston, K.A., Strudler Wallston, B., and DeVellis, R. Development of the Multidimensional Health Locus of Control (MHLC) Scales. HEB, 6(1978), 160--170.Google Scholar
- Yin, R.K. Case study research: Design and methods. Vol. 5. 2008: SAGE Publications, Incorporated.Google Scholar
- Aarhus, R. and Ballegaard, S. Negotiating boundaries: managing disease at home. In Proc. CHI 2010, ACM Press (2010), 1223--1232 Google ScholarDigital Library
- Aarhus, R., Ballegaard, S., and Hansen, T. The eDiary: Bridging home and hospital through healthcare technology. In Proc. ECSCW 2009, Springer (2009).Google ScholarCross Ref
Index Terms
- Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology
Recommendations
Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsDigital self-tracking technologies offer many potential benefits over self-tracking with paper notebooks. However, they are often too rigid to support people's practical and emotional needs in everyday settings. To inform the design of more flexible ...
Understanding challenges and opportunities of preventive blood pressure self-monitoring at home
ECCE '13: Proceedings of the 31st European Conference on Cognitive ErgonomicsThe herein presented study explores socio-technical complexities that may occur when introducing preventive health-measurement technologies in older adults' daily routines and everyday lives. Using mainly blood pressure measurements in private homes, ...
On preventive blood pressure self-monitoring at home
Self-monitoring activities are increasingly becoming part of people's everyday lives. Some of these measurements are taken voluntarily rather than being referred by a physician and conducted because of either a preventive health interest or to better ...
Comments