Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23832, first published .
Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Journals

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  2. Hofbauer L, Rodriguez F. How is the usability of commercial activity monitors perceived by older adults and by researchers? A cross-sectional evaluation of community-living individuals. BMJ Open 2022;12(11):e063135 View
  3. Kenny L, Moore K, O' Riordan C, Fox S, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration. JMIR Formative Research 2022;6(1):e27418 View
  4. Vasquez B, Betriana F, Nemenzo E, Inabangan A, Tanioka R, Garcia L, Juntasopeepun P, Tanioka T, Locsin R. Effects of Healthcare Technologies on the Promotion of Physical Activities in Older Persons: A Systematic Review. Informatics for Health and Social Care 2023;48(2):196 View
  5. Van Wier M, Urry E, Lissenberg-Witte B, Kramer S. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2024;63(1):49 View
  6. Kari T, Makkonen M, Carlsson C. Physical Activity Tracker Application in Promoting Physical Activity Behavior among Older Adults: A 24-month Follow-Up Study. Journal of Aging and Health 2023;35(7-8):466 View
  7. Kumar S, Victoria-Castro A, Melchinger H, O’Connor K, Psotka M, Desai N, Ahmad T, Wilson F. Wearables in Cardiovascular Disease. Journal of Cardiovascular Translational Research 2023;16(3):557 View
  8. Félix J, Moreira J, Santos R, Kontio E, Pinheiro A, Sousa A. Health-Related Telemonitoring Parameters/Signals of Older Adults: An Umbrella Review. Sensors 2023;23(2):796 View
  9. Hechinger M, Hentschel D, Aumer C, Rester C. A Conceptual Model of Experiences With Digital Technologies in Aging in Place: Qualitative Systematic Review and Meta-synthesis. JMIR Aging 2022;5(3):e34872 View
  10. Tuominen M, Koski P, Axelin A, Stenholm S, Leskinen T. Acceptable, useful, and ineffective? Recent retirees’ experiences of a 12-month activity tracker-based physical activity intervention. DIGITAL HEALTH 2023;9:205520762211474 View
  11. Suh A, Li M. How the use of mobile fitness technology influences older adults’ physical and psychological well-being. Computers in Human Behavior 2022;131:107205 View
  12. Zytnick D, Folta S, Reid K, Chomitz V. Better Understanding Wearable Activity Monitor Use and Non-Use Among Older Adults: A Qualitative Study. Journal of Applied Gerontology 2023;42(3):447 View
  13. Chen J, Li T, You H, Wang J, Peng X, Chen B. Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(4):3247 View
  14. Friedrich B, Lübbe C, Steen E, Bauer J, Hein A. Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults. Sensors 2022;22(2):493 View
  15. Faro J, Yue K, Singh A, Soni A, Ding E, Shi Q, McManus D. Wearable device use and technology preferences in cancer survivors with or at risk for atrial fibrillation. Cardiovascular Digital Health Journal 2022;3(6):S23 View
  16. Czaja S, Ceruso M. The Promise of Artificial Intelligence in Supporting an Aging Population. Journal of Cognitive Engineering and Decision Making 2022;16(4):182 View
  17. Paolillo E, Lee S, VandeBunte A, Djukic N, Fonseca C, Kramer J, Casaletto K. Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors. Frontiers in Digital Health 2022;4 View
  18. Neef C, Linden K, Richert A. Exploring the Influencing Factors on User Experience in Robot-Assisted Health Monitoring Systems Combining Subjective and Objective Health Data. Applied Sciences 2023;13(6):3537 View
  19. Debelle H, Packer E, Beales E, Bailey H, Mc Ardle R, Brown P, Hunter H, Ciravegna F, Ireson N, Evers J, Niessen M, Shi J, Yarnall A, Rochester L, Alcock L, Del Din S. Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease. Frontiers in Neurology 2023;14 View
  20. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637 View
  21. Garcia Reyes E, Kelly R, Buchanan G, Waycott J. Understanding Older Adults’ Experiences With Technologies for Health Self-management: Interview Study. JMIR Aging 2023;6:e43197 View
  22. Paulauskaite-Taraseviciene A, Siaulys J, Sutiene K, Petravicius T, Navickas S, Oliandra M, Rapalis A, Balciunas J. Geriatric Care Management System Powered by the IoT and Computer Vision Techniques. Healthcare 2023;11(8):1152 View
  23. Avella-Rodríguez E, Gómez L, Ramirez-Scarpetta J, Rosero E. Colombian Stakeholder Perceptions and Recommendations Regarding Fall Detection Systems for Older Adults. Geriatrics 2023;8(3):51 View
  24. TEKİNDAL M, TONBALAK K. NİTEL ARAŞTIRMALARDA META-SENTEZİN KAPSAMI VE YAŞLILIK ALANINDA META-SENTEZ ÖRNEKLERİ. Ufkun Ötesi Bilim Dergisi 2021;21(2):235 View
  25. Jiang Y, Gao J, Sun P, Nan J, Zou X, Sun M, Song X. Factors Associated with the e-Health Literacy Among Older Adults with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study. Telemedicine and e-Health 2023 View
  26. Brem A, Kuruppu S, de Boer C, Muurling M, Diaz-Ponce A, Gove D, Curcic J, Pilotto A, Ng W, Cummins N, Malzbender K, Nies V, Erdemli G, Graeber J, Narayan V, Rochester L, Maetzler W, Aarsland D. Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities. Frontiers in Neurology 2023;14 View
  27. G Ravindran K, della Monica C, Atzori G, Lambert D, Hassanin H, Revell V, Dijk D. Three Contactless Sleep Technologies Compared With Actigraphy and Polysomnography in a Heterogeneous Group of Older Men and Women in a Model of Mild Sleep Disturbance: Sleep Laboratory Study. JMIR mHealth and uHealth 2023;11:e46338 View
  28. Chang C, Lien W, Chiu T, Yang T, Wei C, Kuo Y, Yeh C, Liu B, Chen P, Lin Y. A novel smart somatosensory wearable assistive device for older adults’ home rehabilitation during the COVID-19 pandemic. Frontiers in Public Health 2023;11 View
  29. Choma E, Hayes S, Lewis B, Rothman A, Wyman J, Guan W, McMahon S. Technical Assistance Received by Older Adults to Use Commercially Available Physical Activity Monitors (Ready Steady 3.0 Trial): Ad-Hoc Descriptive Longitudinal Study. JMIR mHealth and uHealth 2023;11:e47891 View
  30. Das J, Walker R, Barry G, Vitório R, Stuart S, Morris R, Pani D. Stroboscopic visual training: The potential for clinical application in neurological populations. PLOS Digital Health 2023;2(8):e0000335 View
  31. Seifer A, Dorschky E, Küderle A, Moradi H, Hannemann R, Eskofier B. EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors. Sensors 2023;23(14):6565 View
  32. Kokorelias K, Grigorovich A, Harris M, Rehman U, Ritchie L, Levy A, Denecke K, McMurray J. Coadaptation Between Smart Technologies and Older Adults Over Time: Protocol for a Scoping Review. JMIR Research Protocols 2023;12:e51129 View
  33. Fotteler M, Kocar T, Dallmeier D, Kohn B, Mayer S, Waibel A, Swoboda W, Denkinger M. Use and benefit of information, communication, and assistive technology among community-dwelling older adults – a cross-sectional study. BMC Public Health 2023;23(1) View
  34. Smith S, Ayuk V, Scalzo P. Barriers to Technology Adoption by Patients and Providers in Diabetes and Hypertension Care Management. Digital Medicine and Healthcare Technology 2023;2 View
  35. Zhu D, Al Mahmud A, Liu W. Social connections and participation among people with mild cognitive impairment: barriers and recommendations. Frontiers in Psychiatry 2023;14 View
  36. Goodman A, Mahoney R, Spurling G, Lawler S. Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review. JMIR mHealth and uHealth 2023;11:e45162 View
  37. Ravindran K, della Monica C, Atzori G, Lambert D, Hassanin H, Revell V, Dijk D. Contactless and longitudinal monitoring of nocturnal sleep and daytime naps in older men and women: a digital health technology evaluation study. SLEEP 2023;46(10) View
  38. Alpert J, Sharma B, Cenko E, Zapata R, Karnati Y, Fillingim R, Gill T, Marsiske M, Ranka S, Manini T. Identifying barriers and facilitators for using a smartwatch to monitor health among older adults. Educational Gerontology 2024;50(4):282 View
  39. D’Amore C, Saunders S, Bhatnagar N, Griffith L, Richardson J, Beauchamp M. Determinants of physical activity in community-dwelling older adults: an umbrella review. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  40. Casabona E, Campagna S, Charrier L, Viotti D, Castello A, Di Giulio P, Dimonte V. Evaluation of a Telemergency Service for Older People Living at Home: A Cross-Sectional Study. Electronics 2023;12(23):4786 View
  41. Daniels K, Lemmens R, Knippenberg E, Marinus N, Vonck S, Baerts J, Bergs J, Spooren A, Hansen D, Bonnechère B. Promoting physical activity and a healthy active lifestyle in community-dwelling older adults: a design thinking approach for the development of a mobile health application. Frontiers in Public Health 2023;11 View
  42. Imamura K, Matsunaga A. Management of Frailty in Patients on Chronic Kidney Disease. The Japanese Journal of Rehabilitation Medicine 2023;60(10):857 View
  43. Kim M, Kim B, Park S. Social Support, eHealth Literacy, and mHealth Use in Older Adults With Diabetes. CIN: Computers, Informatics, Nursing 2024;42(2):136 View
  44. Shiwani T, Relton S, Evans R, Kale A, Heaven A, Clegg A, Abuzour A, Alderman J, Anand A, Bhanu C, Bunn J, Collins J, Cutillo L, Hall M, Keevil V, Mitchell L, Ogliari G, Penfold R, van Oppen J, Vardy E, Walesby K, Wilkinson C, Zucker K, Todd O. New Horizons in artificial intelligence in the healthcare of older people. Age and Ageing 2023;52(12) View
  45. Clay I, Peerenboom N, Connors D, Bourke S, Keogh A, Wac K, Gur-Arie T, Baker J, Bull C, Cereatti A, Cormack F, Eggenspieler D, Foschini L, Ganea R, Groenen P, Gusset N, Izmailova E, Kanzler C, Leyens L, Lyden K, Mueller A, Nam J, Ng W, Nobbs D, Orfaniotou F, Perumal T, Piwko W, Ries A, Scotland A, Taptiklis N, Torous J, Vereijken B, Xu S, Baltzer L, Vetter T, Goldhahn J, Hoffmann S. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation. Digital Biomarkers 2023:28 View
  46. Lu C, Tsai-Lin T. Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT. SAGE Open 2024;14(1) View
  47. Goerss D, Köhler S, Rong E, Temp A, Kilimann I, Bieber G, Teipel S. User-centered design for smartwatch-based interventions for people with dementia (Preprint). JMIR Aging 2023 View
  48. Jin W, Montoya C, Rich B, Taswell C, Noy M, Kwon D, Spieler B, Mahal B, Abramowitz M, Yechieli R, Pollack A, Dal Pra A. HidrateSpark™ 3, A Smart Water Bottle and Companion App to Improve Bladder-Filling Compliance in Prostate Cancer Patients Receiving Radiotherapy: A Non-Randomized Trial of Feasibility and Acceptability (Preprint). JMIR Cancer 2023 View
  49. Gerber S, Silver R, Das S, Greene S, Dix S, Ramirez I, Morcos C, Dao M, Ceglia L, Roberts S. Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults—Results from a Randomized Control Pilot Study. Nutrients 2024;16(7):930 View
  50. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  51. Del-Valle-Soto C, López-Pimentel J, Vázquez-Castillo J, Nolazco-Flores J, Velázquez R, Varela-Aldás J, Visconti P. A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being. Sensors 2024;24(8):2429 View
  52. Gündüz N, Zaim S, Erzurumlu Y. Investigating impact of health belief and trust on technology acceptance in smartwatch usage: Turkish senior adults case. International Journal of Pharmaceutical and Healthcare Marketing 2024 View

Books/Policy Documents

  1. Mondragón-González S, Burguière E, N’diaye K. Machine Learning for Brain Disorders. View
  2. Shahrokni A, Pozdniakova H, Nightingale B. Geriatric Medicine. View
  3. Wall C, McMeekin P, Walker R, Godfrey A. Reference Module in Biomedical Sciences. View
  4. Shahrokni A, Pozdniakova H, Nightingale B. Geriatric Medicine. View