‘That’s when I put it on’: stakeholder perspectives in large-scale remote health monitoring for older adults
Tóm tắt
Remote health monitoring (RHM) provides various benefits to older adults, but its use is still limited. Remote monitoring may help in avoiding emergencies and prolong users’ independence. To understand how to design systems which support older adults, we studied a large-scale remote health monitoring system. The system used fitness-grade smartwatches to monitor the vital signs of more than 2000 users constantly. To probe the lived experience of using RHM, we conducted an explorative interview study (N = 41) with operators, carers, and users of the RHM system. Our thematic analysis reveals that personalisation of care ecology is crucial for developing users’ confidence and trust in the system. We found that participation in RHM may catalyse positive changes in older adults’ lifestyles. Based on our findings, we formulate five recommendations for designing future health monitoring systems. Our work contributes to insights into the lived experience and stakeholder ecology of health monitoring systems.
Tài liệu tham khảo
Razin A, Sadka E, Swagel P (2002) The aging population and the size of the welfare state. J Polit Econ 110(4):900–918
Thalassinos E, Cristea M, Noja GG (2019) Measuring active ageing within the european union: implications on economic development. Equilib Q J Econ Econ Policy 14(4):591–609. https://doi.org/10.24136/eq.2019.028
Åberg AC, Sidenvall B, Hepworth M et al (2005) On loss of activity and independence, adaptation improves life satisfaction in old age - a qualitative study of patients’ perceptions. Qual Life Res 14(4):1111–1125. https://doi.org/10.1007/s11136-004-2579-8
Ruggeri K, Garcia-Garzon E, Maguire Á et al (2020) Well-being is more than happiness and life satisfaction: a multidimensional analysis of 21 countries. Health Qual Life Outcomes 18(1):1–16. https://doi.org/10.1186/s12955-020-01423-y
Gerling KM, Mandryk RL, Linehan C (2015) Long-term use of motion-based video games in care home settings. Association for Computing Machinery, New York, NY, USA, pp 1573–1582. https://doi.org/10.1145/2702123.2702125
Uzor S, Baillie L (2013) Exploring & designing tools to enhance falls rehabilitation in the home. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp 1233–1242. https://doi.org/10.1145/2470654.2466159
Epstein DA, Ping A, Fogarty J et al (2015) A lived informatics model of personal informatics. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, New York, NY, USA, UbiComp ’15, pp 731–742. https://doi.org/10.1145/2750858.2804250
Vargemidis D, Gerling K, Spiel K et al (2020) Wearable physical activity tracking systems for older adults-a systematic review. ACM Trans Comput Healthc 1(4):1–37. https://doi.org/10.1145/3402523
Vines J, Lindsay S, Pritchard GW et al (2013) Making family care work: dependence, privacy and remote home monitoring telecare systems. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. pp 607–616
Arreola I, Morris Z, Francisco M, et al (2014) From checking on to checking in: designing for low socio-economic status older adults. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp 1933–1936. https://doi.org/10.1145/2556288.2557084
Mahoney FI, Barthel DW (1965) Functional evaluation: the barthel index. Md State Med J 14(2):61–65
Braun V, Clarke V (2019) Reflecting on reflexive thematic analysis. Qual Res Sport Exerc Health 11(4):589–597. https://doi.org/10.1080/2159676X.2019.1628806
Gerling K, Ray M, Evans A (2017) Designing for agency and compassion: critical reflections on technology to support physical activity in late life. In: 1st GetAMoveOn Annual Symposium, London, UK
McNaney R, Balaam M, Holden A, et al (2015) Designing for and with people with Parkinson’s: a focus on exergaming. Association for Computing Machinery, New York, NY, USA, p 501-510. https://doi.org/10.1145/2702123.2702310
Shany T, Redmond SJ, Narayanan MR et al (2012) Sensors-based wearable systems for monitoring of human movement and falls. IEEE Sensors J 12(3):658–670. https://doi.org/10.1109/JSEN.2011.2146246
Sun M, Burke LE, Mao ZH et al (2014) ebutton: a wearable computer for health monitoring and personal assistance. In: Proceedings of the 51st Annual Design Automation Conference. pp 1–6. https://doi.org/10.1145/2593069.2596678
Gerling K, Ray M, Abeele VV et al (2020) Critical reflections on technology to support physical activity among older adults: an exploration of leading hci venues. ACM Trans Access Comput (TACCESS) 13(1):1–23. https://doi.org/10.1145/3374660
Baig MM, Afifi S, GholamHosseini H et al (2019) A systematic review of wearable sensors and iot-based monitoring applications for older adults-a focus on ageing population and independent living. J Med Syst 43(8):1–11. https://doi.org/10.1007/s10916-019-1365-7
Fox S, Duggan M (2013) Tracking for health. Pew Research Center’s Internet & American Life Project; 2013. Google Scholar
Rasche P, Schäfer K, Wille M et al (2016) Self monitoring - an age-related comparison. In: Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference ; Human Factors & User Experience in everyday life, medicine, and work ; Groningen, The Netherlands 2015 / Edited by Dick de Waard, Karel Brookhuis, Antonella Toffetti, Arjan Stuiver, Clemens Weikert, Denis Coelho, Dietrich Manzey, Berfu Ünal, Stefan Röttger, and Natasha Merat, Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference, Groningen (Netherlands), p 13 Seiten. https://publications.rwth-aachen.de/record/661636
Schlomann A, von Storch K, Rasche P et al (2016) Means of motivation or of stress? the use of fitness trackers for self-monitoring by older adults. HeilberufeScience 7(3):111–116. https://doi.org/10.1007/s16024-016-0275-6
Karshmer JF, Karshmer AI (2004) A computer-based self-health monitoring system for the elderly living in a low income housing environment. In: International Conference on Computers for Handicapped Persons. Springer, pp 385–391. https://doi.org/10.1007/978-3-540-27817-7_57
Ancker JS, Witteman HO, Hafeez B et al (2015) “You get reminded you’re a sick person’’: personal data tracking and patients with multiple chronic conditions. J Med Internet Res 17(8):e202. https://doi.org/10.2196/jmir.4209
Noortman R, Schulte BF, Marshall P et al (2019) HawkEye - deploying a design fiction probe. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, pp 1–14. https://doi.org/10.1145/3290605.3300652
Farber N, Shinkle D, Lynott J et al (2011) Aging in place: a state survey of livability policies and practices
Kucharski P, Pagacz K, Szadkowska A et al (2018) Resistance to data loss of glycemic variability measurements in long-term continuous glucose monitoring. Diabetes Technol Ther 20(12):833–842. https://doi.org/10.1089/dia.2018.0247
Rowan J, Mynatt ED (2005) Digital family portrait field trial: support for aging in place. In: Proceedings of the SIGCHI conference on Human Factors in Computing Systems. pp 521–530. https://doi.org/10.1145/1054972.1055044
Demiris G, Rantz MJ, Aud MA et al (2004) Older adults’ attitudes towards and perceptions of ‘smart home’ technologies: a pilot study. Med Inform Internet Med 29(2):87–94. https://doi.org/10.1080/14639230410001684387
Mort M, Roberts C, Callén B (2013) Ageing with telecare: care or coercion in austerity? Sociol Health Illn 35(6):799–812. https://doi.org/10.1111/j.1467-9566.2012.01530.x
Heinbüchner B, Hautzinger M, Becker C et al (2010) Satisfaction and use of personal emergency response systems. Zeitschrift für Gerontologie und Geriatrie 43(4):219–223. https://doi.org/10.1007/s00391-010-0127-4
Goldwater J, Harris Y (2011) Using technology to enhance the aging experience: a market analysis of existing technologies. Ageing Int 36(1):5–28. https://doi.org/10.1007/s12126-010-9071-2
Merilahti J, Pärkkä J, Antila K et al (2009) Compliance and technical feasibility of long-term health monitoring with wearable and ambient technologies. J Telemed Telecare 15(6):302–309. https://doi.org/10.1258/jtt.2009.081106. pMID: 19720768
Peek ST, Wouters EJ, Van Hoof J et al (2014) Factors influencing acceptance of technology for aging in place: a systematic review. Int J Med Inform 83(4):235–248. https://doi.org/10.1016/j.ijmedinf.2014.01.004
Grönvall E, Verdezoto N (2013) Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology. In: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pp 587–596. https://doi.org/10.1145/2493432.2493495
Rogers WA, Fisk AD (2010) Toward a psychological science of advanced technology design for older adults. J Gerontol Ser B Psychol Sci Soc Sci 65(6):645–653. https://doi.org/10.1093/geronb/gbq065
Huber LL, Shankar K, Caine K et al (2013) How in-home technologies mediate caregiving relationships in later life. Int J Hum Comput Interact 29(7):441–455. https://doi.org/10.1080/10447318.2012.715990
Unbehaun D, Aal K, Vaziri DD et al (2020) social technology appropriation in Dementia: investigating the role of caregivers in engaging people with Dementia with a videogame-based training system. Association for Computing Machinery, New York, NY, USA, pp 1–15. https://doi.org/10.1145/3313831.3376648
Caldeira C, Bietz M, Vidauri M et al (2017) Senior care for aging in place: balancing assistance and independence. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, New York, NY, USA, CSCW ’17, p 1605-1617. https://doi.org/10.1145/2998181.2998206
Morgan DL, Zhao PZ (1993) The doctor-caregiver relationship: managing the care of family members with Alzheimer’s disease. Qual Health Res 3(2):133–164. https://doi.org/10.1177/104973239300300202
Grünloh C, Myreteg G, Cajander Å et al (2018) “Why do they need to check me?’’ Patient participation through ehealth and the doctor-patient relationship: qualitative study. J Med Internet Res 20(1):e11. https://doi.org/10.2196/jmir.8444
Auerswald T, Meyer J, von Holdt K, et al (2020) Application of activity trackers among nursing home residents-a pilot and feasibility study on physical activity behavior, usage behavior, acceptance, usability and motivational impact. Int J Environ Res Public Health 17(18). https://doi.org/10.3390/ijerph17186683. https://www.mdpi.com/1660-4601/17/18/6683
Meyer J, Poppinga B, Boll S (2010) Wellness 2.0 - sharing personal health experiences. Wellness Informatics Workshop, co-located with ACM CHI 2010
Meyer J, Beck E, Wasmann M et al (2017) Making sense in the long run: long-term health monitoring in real lives. In: 2017 IEEE International Conference on Healthcare Informatics (ICHI). pp 285–294. https://doi.org/10.1109/ICHI.2017.11
Ayobi A, Marshall P, Cox AL (2016) Reflections on 5 years of personal informatics: rising concerns and emerging directions. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. pp 2774–2781
Meyer J, Hein A (2013) Live long and prosper: potentials of low-cost consumer devices for the prevention of cardiovascular diseases. Medicine 20 2(2). https://doi.org/10.2196/med20.2667
Binda J, Park H, Carroll JM, et al (2017) Intergenerational sharing of health data among family members. In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery, New York, NY, USA, PervasiveHealth ’17, pp 468–471. https://doi.org/10.1145/3154862.3154895
Williams KL, Morrison V, Robinson CA (2014) Exploring caregiving experiences: caregiver coping and making sense of illness. Aging Ment Health 18(5):600–609. https://doi.org/10.1080/13607863.2013.860425. pMID: 24304370
Hovland CA, Mallett CA (2021) Positive aspects of family caregiving for older adults at end-of-life: a qualitative examination. J Soc Work End Life Palliat Care 17(1):64–82. https://doi.org/10.1080/15524256.2021.1888845. pMID: 33682635
Babbie ER (2020) The practice of social research, 15th edn. Cengage Learning, Boston, MA, USA
Bruner J (2004) Life as narrative. Social Research: An International Quarterly 71(3):691–710
Blandford A, Furniss D, Makri S (2016) Qualitative HCI research: going behind the scenes. Synthesis Lectures on Human-Centered Informatics 9(1):1–115
Deterding NM, Waters MC (2021) Flexible coding of in-depth interviews: a twenty-first-century approach. Sociol Methods Res 50(2):708–739. https://doi.org/10.1177/0049124118799377
Mateevitsi V, Reda K, Leigh J et al (2014) The health bar: a persuasive ambient display to improve the office worker’s well being. In: Proceedings of the 5th Augmented Human International Conference. Association for Computing Machinery, New York, NY, USA, AH ’14, pp 1–2. https://doi.org/10.1145/2582051.2582072
Zárate-Bravo E, García-Vázquez JP, Rodríguez MD (2016) An ambient medication display to heighten the peace of mind of family caregivers of older adults: a study of feasibility. In: Serino S, Matic A, Giakoumis D et al (eds) Pervasive Computing Paradigms for Mental Health. Springer International Publishing, Cham, Communications in Computer and Information Science, pp 274–283. https://doi.org/10.1007/978-3-319-32270-4_28
Golsteijn C, van den Hoven E, Frohlich D et al (2012) Towards a more cherishable digital object. In: Proceedings of the Designing Interactive Systems Conference. Association for Computing Machinery, New York, NY, USA, DIS ’12, pp 655–664. https://doi.org/10.1145/2317956.2318054
Rogers Y (2006) Moving on from Weiser’s vision of calm computing: engaging UbiComp experiences. In: UbiComp 2006: Ubiquitous Computing: 8th International Conference, UbiComp 2006 Orange County, CA, USA, September 17–21, 2006 Proceedings 8, Springer, pp 404–421
Beach S, Schulz R, Bruin W, et al (2008) Privacy attitudes and quality of life technology in disabled and non-disabled baby boomers and older adults. In: Gerontologist, GERONTOLOGICAL SOC AMER 1030 15TH ST NW, STE 250, WASHINGTON, DC 20005202, pp 23–24