Published on in Vol 5, No 11 (2017): November

User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study

User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study

User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study

Journals

  1. Guillodo E, Lemey C, Simonnet M, Walter M, Baca-García E, Masetti V, Moga S, Larsen M, Ropars J, Berrouiguet S. Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e10733 View
  2. Kajiwara K, Kako J, Noto H, Oosono Y, Kobayashi M. Reply to: Breast cancer survivors’ perspectives on a home-based physical activity intervention utilizing wearable technology. Supportive Care in Cancer 2020;28(4):1541 View
  3. Soliño-Fernandez D, Ding A, Bayro-Kaiser E, Ding E. Willingness to adopt wearable devices with behavioral and economic incentives by health insurance wellness programs: results of a US cross-sectional survey with multiple consumer health vignettes. BMC Public Health 2019;19(1) View
  4. Abdi S, de Witte L, Hawley M. Emerging Technologies With Potential Care and Support Applications for Older People: Review of Gray Literature. JMIR Aging 2020;3(2):e17286 View
  5. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B. Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mHealth and uHealth 2019;7(6):e13084 View
  6. Chabot M, Delaware L, McCarley S, Little C, Nye A, Anderson E. Living In Place: the Impact of Smart Technology. Current Geriatrics Reports 2019;8(3):232 View
  7. Ehn M, Eriksson L, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34 View
  8. Kokts-Porietis R, Stone C, Friedenreich C, Froese A, McDonough M, McNeil J. Reply to a letter to the editor referencing “Breast cancer survivors’ perspectives on a home-based physical activity intervention utilizing wearable technology”. Supportive Care in Cancer 2020;28(4):1543 View
  9. Chen K, Lou V, Pak R. Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale. Innovation in Aging 2020;4(3) View
  10. Wiesner M, Zowalla R, Suleder J, Westers M, Pobiruchin M. Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study. JMIR mHealth and uHealth 2018;6(12):e201 View
  11. Auerswald T, Meyer J, von Holdt K, Voelcker-Rehage C. Application of Activity Trackers among Nursing Home Residents—A Pilot and Feasibility Study on Physical Activity Behavior, Usage Behavior, Acceptance, Usability and Motivational Impact. International Journal of Environmental Research and Public Health 2020;17(18):6683 View
  12. Henriksen A, Sand A, Deraas T, Grimsgaard S, Hartvigsen G, Hopstock L. Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach. BMC Public Health 2020;20(1) View
  13. Ding E, Han D, Whitcomb C, Bashar S, Adaramola O, Soni A, Saczynski J, Fitzgibbons T, Moonis M, Lubitz S, Lessard D, Hills M, Barton B, Chon K, McManus D. Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study. JMIR Cardio 2019;3(1):e13850 View
  14. Mueller C, Stollfuss B, Roitenberg A, Harder J, Richter M. Evaluation of Clinical Outcomes and Simultaneous Digital Tracking of Daily Physical Activity, Heart Rate, and Inhalation Behavior in Patients With Pulmonary Arterial Hypertension Treated With Inhaled Iloprost: Protocol for the Observational VENTASTEP Study. JMIR Research Protocols 2019;8(4):e12144 View
  15. Abbas M, Jeannes R. Characterizing Peaks in Acceleration Signals–Application to Physical Activity Detection Using Wearable Sensors. IEEE Sensors Journal 2020;20(20):12384 View
  16. Lam C, Milne-Ives M, Van Velthoven M, Meinert E. Internet of Things–Enabled Technologies for Weight Management in Children and Adolescents: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(3):e16930 View
  17. Ummels D, Braun S, Stevens A, Beekman E, Beurskens A. Measure It Super Simple (MISS) activity tracker: (re)design of a user-friendly interface and evaluation of experiences in daily life. Disability and Rehabilitation: Assistive Technology 2020:1 View
  18. Liao J, Xiao H, Li X, Sun S, Liu S, Yang Y, Xu D. A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14969 View
  19. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2020:1 View
  20. Andersen T, Langstrup H, Lomborg S. Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study. Journal of Medical Internet Research 2020;22(7):e15873 View
  21. Galvin H, DeMuro P. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032 View
  22. Zhong R, Rau P. Are cost-effective technologies feasible to measure gait in older adults? A systematic review of evidence-based literature. Archives of Gerontology and Geriatrics 2020;87:103970 View
  23. Zhou J, Zhang B, Tan R, Tseng M, Zhang Y. Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis. Sustainability 2020;12(7):2864 View
  24. Ehn M, Johansson A, Revenäs Å. Technology-Based Motivation Support for Seniors’ Physical Activity—A Qualitative Study on Seniors’ and Health Care Professionals’ Views. International Journal of Environmental Research and Public Health 2019;16(13):2418 View
  25. Kim S, Choudhury A. Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers. JMIR mHealth and uHealth 2020;8(10):e18312 View
  26. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth 2019;7(4):e9832 View
  27. Reeder B, Chung J, Lyden K, Winters J, Jankowski C. Older women’s perceptions of wearable and smart home activity sensors. Informatics for Health and Social Care 2020;45(1):96 View
  28. Shahrokni A, Maggiore R, Ghassemzadeh H. New technologies in geriatric oncology care. Journal of Geriatric Oncology 2018;9(6):687 View
  29. Zhong R, Rau P, Yan X. Gait Assessment of Younger and Older Adults with Portable Motion-Sensing Methods: A User Study. Mobile Information Systems 2019;2019:1 View
  30. Duff O, Walsh D, Malone S, McDermott L, Furlong B, O'Connor N, Moran K, Woods C. MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development. JMIR Formative Research 2018;2(1):e8 View
  31. Grundstrom C, Korhonen O, Väyrynen K, Isomursu M. Insurance Customers’ Expectations for Sharing Health Data: Qualitative Survey Study. JMIR Medical Informatics 2020;8(3):e16102 View
  32. Lin D, Papi E, McGregor A. Exploring the clinical context of adopting an instrumented insole: a qualitative study of clinicians’ preferences in England. BMJ Open 2019;9(4):e023656 View
  33. Goodspeed R, Yan X, Hardy J, Vydiswaran V, Berrocal V, Clarke P, Romero D, Gomez-Lopez I, Veinot T. Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study. JMIR mHealth and uHealth 2018;6(8):e168 View
  34. Hawkins J, Charles J, Edwards M, Hallingberg B, McConnon L, Edwards R, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, Moore G. Acceptability and Feasibility of Implementing Accelorometry-Based Activity Monitors and a Linked Web Portal in an Exercise Referral Scheme: Feasibility Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(3):e12374 View
  35. Ummels D, Beekman E, Moser A, Braun S, Beurskens A. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2020;42(23):3284 View
  36. Soon S, Svavarsdottir H, Downey C, Jayne D. Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field. BMJ Innovations 2020;6(2):55 View
  37. Kadylak T, Cotten S. United States older adults’ willingness to use emerging technologies. Information, Communication & Society 2020;23(5):736 View
  38. Mettler T, Wulf J. Physiolytics at the workplace: Affordances and constraints of wearables use from an employee's perspective. Information Systems Journal 2019;29(1):245 View
  39. Grym K, Niela-Vilén H, Ekholm E, Hamari L, Azimi I, Rahmani A, Liljeberg P, Löyttyniemi E, Axelin A. Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth. BMC Pregnancy and Childbirth 2019;19(1) View
  40. Keogh A, Dorn J, Walsh L, Calvo F, Caulfield B. Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study. JMIR mHealth and uHealth 2020;8(4):e15704 View
  41. Bonci T, Keogh A, Del Din S, Scott K, Mazzà C. An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. Sensors 2020;20(22):6509 View
  42. Jennings M, Guilfoyle A, Green J, Cleary Y, Gowran R. Octopus Watch Fosters Family Resilience by Enhancing Occupational Engagement for Children with Spina Bifida and/or Hydrocephalus: Pilot Study. International Journal of Environmental Research and Public Health 2020;17(22):8316 View
  43. Degerli M, Ozkan Yildirim S. Identifying critical success factors for wearable medical devices: a comprehensive exploration. Universal Access in the Information Society 2020 View
  44. Vargemidis D, Gerling K, Spiel K, Abeele V, Geurts L. Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review. ACM Transactions on Computing for Healthcare 2020;1(4):1 View
  45. Joshi M, Archer S, Morbi A, Arora S, Kwasnicki R, Ashrafian H, Khan S, Cooke G, Darzi A. Short-Term Wearable Sensors for In-Hospital Medical and Surgical Patients: Mixed Methods Analysis of Patient Perspectives. JMIR Perioperative Medicine 2021;4(1):e18836 View
  46. Concheiro-Moscoso P, Martínez-Martínez F, Miranda-Duro M, Pousada T, Nieto-Riveiro L, Groba B, Mejuto-Muiño F, Pereira J. Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands. International Journal of Environmental Research and Public Health 2021;18(3):1106 View
  47. Sarradon-Eck A, Bouchez T, Auroy L, Schuers M, Darmon D. Attitudes of General Practitioners Toward Prescription of Mobile Health Apps: Qualitative Study. JMIR mHealth and uHealth 2021;9(3):e21795 View
  48. Domingos C, Correia Santos N, Pêgo J. Association between Self-Reported and Accelerometer-Based Estimates of Physical Activity in Portuguese Older Adults. Sensors 2021;21(7):2258 View
  49. Nickerson G, Shade K. Effect of Increasing Physical Activity on Cognitive Function in Individuals With Mild Cognitive Impairment: A Knowledge Translation to Practice Pilot Project. Journal of Gerontological Nursing 2021;47(5):14 View
  50. Miranda-Duro M, Nieto-Riveiro L, Concheiro-Moscoso P, Groba B, Pousada T, Canosa N, Pereira J. Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2. Sensors 2021;21(10):3341 View
  51. Moore K, O'Shea E, Kenny L, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis. JMIR mHealth and uHealth 2021;9(6):e23832 View
  52. Simmich J, Mandrusiak A, Russell T, Smith S, Hartley N. Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity. DIGITAL HEALTH 2021;7:205520762110199 View
  53. Gerhardsson K, Laike T. User acceptance of a personalised home lighting system based on wearable technology. Applied Ergonomics 2021;96:103480 View
  54. Domingos C, Costa P, Santos N, Pêgo J. European Portuguese Version of the User Satisfaction Evaluation Questionnaire (USEQ): Transcultural Adaptation and Validation Study. JMIR mHealth and uHealth 2021;9(6):e19245 View
  55. Ocagli H, Lorenzoni G, Lanera C, Schiavo A, D’Angelo L, Liberti A, Besola L, Cibin G, Martinato M, Azzolina D, D’Onofrio A, Tarantini G, Gerosa G, Cabianca E, Gregori D. Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices: Insights on Feasibility and Capability Study: Feasibility Results. International Journal of Environmental Research and Public Health 2021;18(13):7171 View

Books/Policy Documents

  1. Khakurel J, Knutas A, Melkas H, Penzenstadler B, Fu B, Porras J. Universal Access in Human-Computer Interaction. Methods, Technologies, and Users. View
  2. Cruz-Sandoval D, Favela J, Lopez-Nava I, Morales A. IoT in Healthcare and Ambient Assisted Living. View
  3. Degerli M, Ozkan Yildirim S. IoT in Healthcare and Ambient Assisted Living. View
  4. Tung J, Gower S, Ooteghem K, Nouredanesh M, Gage W. Digital Health. View