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Citing this Article

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Published on 08.09.14 in Vol 16, No 9 (2014): September

This paper is in the following e-collection/theme issue:

Works citing "Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3049):

(note that this is only a small subset of citations)

  1. Kuivila H, Mikkonen K, Sjögren T, Koivula M, Koskimäki M, Männistö M, Lukkarila P, Kääriäinen M. Health science student teachers' perceptions of teacher competence: A qualitative study. Nurse Education Today 2020;84:104210
    CrossRef
  2. Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147
    CrossRef
  3. Sterling R, LeRouge C. On-Demand Telemedicine as a Disruptive Health Technology: Qualitative Study Exploring Emerging Business Models and Strategies Among Early Adopter Organizations in the United States. Journal of Medical Internet Research 2019;21(11):e14304
    CrossRef
  4. Tao D, Shao F, Wang H, Yan M, Qu X. Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal. Health Informatics Journal 2019;:146045821987933
    CrossRef
  5. Ramos RF, Rita P, Moro S. From institutional websites to social media and mobile applications: A usability perspective. European Research on Management and Business Economics 2019;25(3):138
    CrossRef
  6. Lee H, Lyu J. Exploring factors which motivate older consumers’ self-service technologies (SSTs) adoption. The International Review of Retail, Distribution and Consumer Research 2019;29(2):218
    CrossRef
  7. Seale DE, LeRouge CM, Ohs JE, Tao D, Lach HW, Jupka K, Wray R. Exploring Early Adopter Baby Boomers' Approach to Managing Their Health and Healthcare. International Journal of E-Health and Medical Communications 2019;10(1):94
    CrossRef
  8. Gerido LH, Tang X, Ernst B, Langford A, He Z. Patient Engagement in Medical Research Among Older Adults: Analysis of the Health Information National Trends Survey. Journal of Medical Internet Research 2019;21(10):e15035
    CrossRef
  9. Faiola A, Papautsky EL, Isola M. Empowering the Aging with Mobile Health: A mHealth Framework for Supporting Sustainable Healthy Lifestyle Behavior. Current Problems in Cardiology 2019;44(8):232
    CrossRef
  10. Gallagher R, Parker H, Zhang L, Kirkness A, Roach K, Belshaw J, Glinatsis H, Gallagher P, Neubeck L. Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study. Heart, Lung and Circulation 2019;
    CrossRef
  11. Duan-Porter W, Van Houtven CH, Mahanna EP, Chapman JG, Stechuchak KM, Coffman CJ, Hastings SN. Internet Use and Technology-Related Attitudes of Veterans and Informal Caregivers of Veterans. Telemedicine and e-Health 2018;24(7):471
    CrossRef
  12. Black DA, O'Loughlin K, Wilson LA. Climate change and the health of older people in Australia: A scoping review on the role of mobile applications (apps) in ameliorating impact. Australasian Journal on Ageing 2018;37(2):99
    CrossRef
  13. Schneider BC, Schröder J, Berger T, Hohagen F, Meyer B, Späth C, Greiner W, Hautzinger M, Lutz W, Rose M, Vettorazzi E, Moritz S, Klein JP. Bridging the “digital divide”: A comparison of use and effectiveness of an online intervention for depression between Baby Boomers and Millennials. Journal of Affective Disorders 2018;236:243
    CrossRef
  14. Immonen M, Sintonen S, Koivuniemi J. The value of human interaction in service channels. Computers in Human Behavior 2018;78:316
    CrossRef
  15. Waterworth S, Honey M. On-line health seeking activity of older adults: an integrative review of the literature. Geriatric Nursing 2018;39(3):310
    CrossRef
  16. Hyunjoo LEE . Determinants of Self-Service Technology(SST) Usage Behavior by U.S. Older Consumers in their 50’s and 60’s: Focusing on the Mediating Effect of SST Self-Efficacy. Journal of Consumption Culture 2018;21(4):1
    CrossRef
  17. Corey KL, McCurry MK, Sethares KA, Bourbonniere M, Hirschman KB, Meghani SH. Utilizing Internet-based recruitment and data collection to access different age groups of former family caregivers. Applied Nursing Research 2018;44:82
    CrossRef
  18. Hardy M, Oprescu F, Millear P, Summers M. Let me tell you about healthy ageing and about my quality of life: listening to the baby boomer voice. Quality in Ageing and Older Adults 2018;19(3):167
    CrossRef
  19. McQueen L, Cockroft M, Mullins N. Imogene King's Theory of Goal Attainment and the Millennial Nurse: An Important Mentoring Tool for Nurse Educators. Teaching and Learning in Nursing 2017;12(3):223
    CrossRef
  20. Seifert A, Schlomann A, Rietz C, Schelling HR. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008
    CrossRef
  21. Ware P, Bartlett SJ, Paré G, Symeonidis I, Tannenbaum C, Bartlett G, Poissant L, Ahmed S. Using eHealth Technologies: Interests, Preferences, and Concerns of Older Adults. Interactive Journal of Medical Research 2017;6(1):e3
    CrossRef
  22. Keränen NS, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29
    CrossRef
  23. . The American Telemedicine Association ATA 2017 Telehealth 2.0 Conference Abstracts. Telemedicine and e-Health 2017;23(4):A-1
    CrossRef
  24. Boodoo C, Perry JA, Hunter PJ, Duta DI, Newhook SCP, Leung G, Cross K. Views of Patients on Using mHealth to Monitor and Prevent Diabetic Foot Ulcers: Qualitative Study. JMIR Diabetes 2017;2(2):e22
    CrossRef
  25. Stellefson M, Paige SR, Tennant B, Alber JM, Chaney BH, Chaney D, Grossman S. Reliability and Validity of the Telephone-Based eHealth Literacy Scale Among Older Adults: Cross-Sectional Survey. Journal of Medical Internet Research 2017;19(10):e362
    CrossRef
  26. Gallagher R, Roach K, Sadler L, Glinatsis H, Belshaw J, Kirkness A, Zhang L, Gallagher P, Paull G, Gao Y, Partridge SR, Parker H, Neubeck L. Mobile Technology Use Across Age Groups in Patients Eligible for Cardiac Rehabilitation: Survey Study. JMIR mHealth and uHealth 2017;5(10):e161
    CrossRef
  27. Yoke MM. Research Bites. ACSMʼs Health & Fitness Journal 2017;21(3):31
    CrossRef
  28. Fung CH, Alessi C, Truong C, Josephson K, Hays RD, Col N, Patterson ES, Martin JL. Patient-Provider Communication With Older Adults About Sleep Apnea Diagnosis and Treatment. Behavioral Sleep Medicine 2017;15(6):423
    CrossRef
  29. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. Journal of Medical Internet Research 2016;18(6):e135
    CrossRef
  30. M Barbara A, Dobbins M, Haynes RB, Iorio A, Lavis JN, Levinson AJ. User Experiences of the McMaster Optimal Aging Portal’s Evidence Summaries and Blog Posts: Usability Study. JMIR Human Factors 2016;3(2):e22
    CrossRef
  31. Tao D, Shao F, Liu S, Wang T, Qu X. Predicting Factors of Consumer Acceptance of Health Information Technologies. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2016;60(1):598
    CrossRef
  32. Barbara AM, Dobbins M, Haynes RB, Iorio A, Lavis JN, Raina P, Levinson AJ. The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website. JMIR Human Factors 2016;3(1):e14
    CrossRef
  33. Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1
    CrossRef
  34. Brochado A, Rita P, Margarido A. High tech meets high touch in upscale hotels. Journal of Hospitality and Tourism Technology 2016;7(4):347
    CrossRef
  35. Tulu B, Trapp AC, Strong DM, Johnson SA, Hoque M, Trudel J, Garber L. An analysis of patient portal utilization: what can we learn about online patient behavior by examining portal click data?. Health Systems 2016;5(1):66
    CrossRef
  36. Portz JD, Miller A, Foster B, Laudeman L. Persuasive features in health information technology interventions for older adults with chronic diseases: a systematic review. Health and Technology 2016;6(2):89
    CrossRef
  37. Weigold A, Weigold IK, Drakeford NM, Dykema SA, Smith CA. Equivalence of paper-and-pencil and computerized self-report surveys in older adults. Computers in Human Behavior 2016;54:407
    CrossRef
  38. Tennant B, Stellefson M, Dodd V, Chaney B, Chaney D, Paige S, Alber J. eHealth Literacy and Web 2.0 Health Information Seeking Behaviors Among Baby Boomers and Older Adults. Journal of Medical Internet Research 2015;17(3):e70
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3049)

:
  1. McLaughlin AC, Pryor M, Feng J. Critical Issues Impacting Science, Technology, Society (STS), and Our Future. 2019. chapter 10:218
    CrossRef
  2. Ngenye L, Wright K. Global Perspectives on Health Communication in the Age of Social Media. 2018. chapter 1:1
    CrossRef
  3. Pohl A, Trill R. Building Sustainable Health Ecosystems. 2016. Chapter 4:37
    CrossRef
  4. Insel K, Lee JK, Einstein GO, Morrow DG. Human Aspects of IT for the Aged Population. Design for Everyday Life. 2015. Chapter 8:82
    CrossRef