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Citing this Article

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Published on 06.04.18 in Vol 20, No 4 (2018): April

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

Works citing "Understanding Older People’s Readiness for Receiving Telehealth: Mixed-Method Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8407):

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

  1. Wichmann F, Sill J, Hassenstein MJ, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität. Prävention und Gesundheitsförderung 2019;14(2):93
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  4. Ghaddar S, Vatcheva KP, Alvarado SG, Mykyta L. Understanding the Intention to Use Telehealth Services in Underserved Hispanic Border Communities: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21012
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  5. Su Z, Chengbo Z, Mackert M. Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption. Journal of Communication in Healthcare 2019;12(3-4):170
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  6. Harst L, Lantzsch H, Scheibe M. Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review. Journal of Medical Internet Research 2019;21(5):e13117
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  7. Chen K, Lou VWQ, Pak R. Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale. Innovation in Aging 2020;4(3)
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  8. Hantke N, Lajoy M, Gould CE, Magwene EM, Sordahl J, Hirst R, O'Hara R. Patient Satisfaction With Geriatric Psychiatry Services via Video Teleconference. The American Journal of Geriatric Psychiatry 2020;28(4):491
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  9. Portz JD, Fruhauf C, Bull S, Boxer RS, Bekelman DB, Casillas A, Gleason K, Bayliss EA. “Call a Teenager… That’s What I Do!” - Grandchildren Help Older Adults Use New Technologies: Qualitative Study. JMIR Aging 2019;2(1):e13713
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  10. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023
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  11. Huisman C, Kort H. Two-Year Use of Care Robot Zora in Dutch Nursing Homes: An Evaluation Study. Healthcare 2019;7(1):31
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  12. Severe J, Tang R, Horbatch F, Onishchenko R, Naini V, Blazek MC. Factors Influencing Patients’ Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey. JMIR Formative Research 2020;4(12):e25469
    CrossRef
  13. Oh-Park M, Lew HL, Raghavan P. Telerehabilitation for Geriatrics. Physical Medicine and Rehabilitation Clinics of North America 2021;32(2):291
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  14. Kowalska M, Gładyś A, Kalańska-Łukasik B, Gruz-Kwapisz M, Wojakowski W, Jadczyk T. Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(12):e20456
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  15. Vergouw JW, Smits-Pelser H, Kars MC, van Houwelingen T, van Os-Medendorp H, Kort H, Bleijenberg N. Needs, barriers and facilitators of older adults towards eHealth in general practice: a qualitative study. Primary Health Care Research & Development 2020;21
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  16. Furness K, Huggins CE, Truby H, Croagh D, Haines TP. Attitudes of Australian Patients Undergoing Treatment for Upper Gastrointestinal Cancers to Different Models of Nutrition Care Delivery: Qualitative Investigation. JMIR Formative Research 2021;5(3):e23979
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  17. Choukou M, Maddahi A, Polyvyana A, Monnin C. Digital health technology for Indigenous older adults: A scoping review. International Journal of Medical Informatics 2021;148:104408
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  18. Serrano KM, Mendes GH, Lizarelli FL, Ganga GM. Assessing the telemedicine acceptance for adults in Brazil. International Journal of Health Care Quality Assurance 2020;34(1):35
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  19. Kato-Lin Y, Thelen ST. Telemedicine for Acute Conditions During COVID-19: A Nationwide Survey Using Crowdsourcing. Telemedicine and e-Health 2021;27(7):714
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  20. Paldán K, Steinmetz M, Simanovski J, Rammos C, Ullrich G, Jánosi RA, Moebus S, Rassaf T, Lortz J. Supervised Exercise Therapy Using Mobile Health Technology in Patients With Peripheral Arterial Disease: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e24214
    CrossRef
  21. Terp R, Kayser L, Lindhardt T. Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study. JMIR Human Factors 2021;8(2):e27005
    CrossRef
  22. Adrien TV, Kim HJ, Cray HV, Vahia IV. Training Older Adults to Use Telemedicine for Mental Health may have Limited Impact. The American Journal of Geriatric Psychiatry 2022;30(2):262
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  23. Chen S, Edwards I, Jayasena R, Ding H, Karunanithi M, Dowling A, Layland J, Maiorana A. Innovative Telemonitoring Enhanced Care program for CHF (ITEC-CHF): Usability and Patient Perspectives (Preprint). JMIR Cardio 2020;
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  24. Chattu VK, Lopes CA, Javed S, Yaya S. Fulfilling the promise of digital health interventions (DHI) to promote women’s sexual, reproductive and mental health in the aftermath of COVID-19. Reproductive Health 2021;18(1)
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  25. Ismond KP, Eslamparast T, Farhat K, Stickland M, Spence JC, Bailey RJ, Abraldes JG, Spiers JA, Tandon P. Assessing Patient Proficiency with Internet-Connected Technology and Their Preferences for E-Health in Cirrhosis. Journal of Medical Systems 2021;45(7)
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  26. Miyatake H, Kosaka M, Arita S, Tsunetoshi C, Masunaga H, Kotera Y, Nishikawa Y, Ozaki A, Beniya H. Videoconferencing for Home Care Delivery in Japan: Observational Study. Journal of Medical Internet Research 2021;23(9):e23539
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  27. Fleisher JE, Hess S, Sennott BJ, Myrick E, Wallace EK, Lee J, Sanghvi M, Woo K, Ouyang B, Wilkinson JR, Beck J, Johnson TJ, Hall DA, Chodosh J. Longitudinal, Interdisciplinary Home Visits Versus Usual Care for Homebound People With Advanced Parkinson Disease: Protocol for a Controlled Trial. JMIR Research Protocols 2021;10(9):e31690
    CrossRef
  28. Yu K, Wu S, Liu R, Chi I. Harnessing mobile technology to support type 2 diabetes self-management among Chinese and Hispanic immigrants: a mixed-methods acceptability study. Journal of Ethnic & Cultural Diversity in Social Work 2023;32(4):171
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  29. Liu J, Gao L. Are Diverse Media Better than a Single Medium? The Relationship between Mixed Media and Perceived Effect from the Perspective of Online Psychological Counseling. International Journal of Environmental Research and Public Health 2021;18(16):8603
    CrossRef
  30. Ho V, Merchant RA. The Acceptability of Digital Technology and Tele-Exercise in the Age of COVID-19: Cross-sectional Study. JMIR Aging 2022;5(2):e33165
    CrossRef
  31. Macariola AD, Santarin TMC, Villaflor FJM, Villaluna LMG, Yonzon RSL, Fermin JL, Kee SL, AlDahoul N, Karim HA, Tan MJT. Breaking Barriers Amid the Pandemic: The Status of Telehealth in Southeast Asia and its Potential as a Mode of Healthcare Delivery in the Philippines. Frontiers in Pharmacology 2021;12
    CrossRef
  32. Md Fadzil NH, Shahar S, Rajikan R, Singh DKA, Mat Ludin AF, Subramaniam P, Ibrahim N, Vanoh D, Mohamad Ali N. A Scoping Review for Usage of Telerehabilitation among Older Adults with Mild Cognitive Impairment or Cognitive Frailty. International Journal of Environmental Research and Public Health 2022;19(7):4000
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  33. Maria ARJ, Serra H, Castro MG, Heleno B. Interaction at the primary–secondary care interface: Patients’ and physicians’ perceptions of teleconsultations. DIGITAL HEALTH 2022;8:205520762211336
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  34. Rotenberg S, Oreper JS, Bar Y, Davids-Brumer N, Dawson DR. “It’s better than nothing, but I do not find it to be ideal”: Older adults’ experience of TeleRehab during the first COVID-19 lockdown. Journal of Applied Gerontology 2023;42(5):811
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  35. De Veirman AEM, Thewissen V, Spruijt MG, Bolman CAW. Factors Associated With Intention and Use of e–Mental Health by Mental Health Counselors in General Practices: Web-Based Survey. JMIR Formative Research 2022;6(12):e34754
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  36. Brownie SM, Chalmers LM, Broman P, Andersen P. Evaluating an undergraduate nursing student telehealth placement for community‐dwelling frail older people during the COVID‐19 pandemic. Journal of Clinical Nursing 2023;32(1-2):147
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  37. Sabbir MM, Taufique KMR, Nomi M. Telemedicine acceptance during the COVID-19 pandemic: User satisfaction and strategic healthcare marketing considerations. Health Marketing Quarterly 2021;38(2-3):168
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  38. Bally ELS, Cheng D, van Grieken A, Ferri Sanz M, Zanutto O, Carroll A, Darley A, Roozenbeek B, Dippel DWJ, Raat H. Patients’ Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e42556
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  39. Gillie M, Ali D, Vadlamuri D, Carstarphen KJ. Telehealth Literacy as a Social Determinant of Health: A Novel Screening Tool to Support Vulnerable Patient Equity. Journal of Alzheimer's Disease Reports 2022;6(1):67
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  40. Pool J, Akhlaghpour S, Fatehi F, Gray LC. Data privacy concerns and use of telehealth in the aged care context: An integrative review and research agenda. International Journal of Medical Informatics 2022;160:104707
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  41. Esber A, Teufel M, Jahre L, in der Schmitten J, Skoda E, Bäuerle A. Predictors of patients’ acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model. DIGITAL HEALTH 2023;9:205520762211493
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  42. Yu J, de Antonio A, Villalba-Mora E. Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis. Journal of Medical Internet Research 2022;24(1):e31920
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  43. Campanozzi LL, Gibelli F, Bailo P, Nittari G, Sirignano A, Ricci G. The role of digital literacy in achieving health equity in the third millennium society: A literature review. Frontiers in Public Health 2023;11
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  44. Schutz S, Walthall H, Snowball J, Vagner R, Fernandez N, Bartram E, Merriman C. Patient and clinician experiences of remote consultation during the SARS-CoV-2 pandemic: A service evaluation. DIGITAL HEALTH 2022;8:205520762211150
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  45. Musbahi O, Syed L, Le Feuvre P, Cobb J, Jones G. Public patient views of artificial intelligence in healthcare: A nominal group technique study. DIGITAL HEALTH 2021;7:205520762110636
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  46. Kato-Lin Y, Thelen ST. Privacy Concerns and Continued Use Intention of Telemedicine During COVID-19. Telemedicine and e-Health 2022;28(10):1440
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  47. Rochmawati E, Kamilah F, Iskandar AC. Acceptance of e‐health technology among older people: A qualitative study. Nursing & Health Sciences 2022;24(2):437
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  48. Rodrigues NG, Han CQY, Su Y, Klainin‐Yobas P, Wu XV. Psychological impacts and online interventions of social isolation amongst older adults during COVID‐19 pandemic: A scoping review. Journal of Advanced Nursing 2022;78(3):609
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  49. Chua CH, Seow FC, Tang FM, Lim LM. Factors affecting telepractice use in COVID-19. Proceedings of Singapore Healthcare 2022;31:201010582210741
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  50. . Yaşlılarda Telerehabilitasyon. Geriatrik Bilimler Dergisi 2022;5(2):46
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  51. Spronk R, van der Zaag-Loonen HJ, Bottenberg-Wigbold N, Bovee N, Smits R, van Offenbeek M, Vos JFJ, Luttik ML, van Munster BC. The perceived quality of video consultations in geriatric outpatient care by early adopters. European Geriatric Medicine 2022;13(5):1169
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  52. Morrow C, Woodbury M, Simpson AN, Almallouhi E, Simpson KN. Determining the Marginal Cost Differences of a Telehealth Versus an In-person Occupational Therapy Evaluation Session for Stroke Survivors Using Time-driven Activity-based Costing. Archives of Physical Medicine and Rehabilitation 2023;104(4):547
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  53. Tan YR, Tan MP, Khor MM, Hoh HB, Saedon N, Hasmukharay K, Tan KM, Chin AV, Kamaruzzaman SB, Ong T, Davey G, Khor HM. Acceptance of virtual consultations among older adults and caregivers in Malaysia: a pilot study during the COVID-19 pandemic. Postgraduate Medicine 2022;134(2):224
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  54. Chen H, Zhang Y, Wang L. A study on the quality evaluation index system of smart home care for older adults in the community ——based on Delphi and AHP. BMC Public Health 2023;23(1)
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  55. Baudier P, Kondrateva G, Ammi C, Chang V, Schiavone F. Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs. Technovation 2023;120:102547
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  56. Terp R, Lindhardt T, Kayser L. Theory-driven development of an educative nutritional intervention (ENI) supporting older hospital patients to eat sufficiently, assisted by an eHealth solution: an intervention mapping approach. BMC Health Services Research 2022;22(1)
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  57. Wong GJ, Lau J, Chew E, Chow W, Choo J, Tan K. Patients’ perception of colorectal cancer surveillance in the community: an exploratory study. BMC Public Health 2022;22(1)
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  58. Sevcenko K, Lindgren I. The effects of virtual reality training in stroke and Parkinson’s disease rehabilitation: a systematic review and a perspective on usability. European Review of Aging and Physical Activity 2022;19(1)
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  59. Chan YK, Tang YM, Teng L. A comparative analysis of digital health usage intentions towards the adoption of virtual reality in telerehabilitation. International Journal of Medical Informatics 2023;174:105042
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  60. Ilali M, Le Berre M, Vedel I, Khanassov V. Telemedicine in the primary care of older adults: a systematic mixed studies review. BMC Primary Care 2023;24(1)
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  61. Auener SL, van Dulmen SA, Atsma F, van der Galiën O, Bellersen L, van Kimmenade R, Westert GP, Jeurissen PPT. Characteristics Associated With Telemonitoring Use Among Patients With Chronic Heart Failure: Retrospective Cohort Study. Journal of Medical Internet Research 2023;25:e43038
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  62. Beasley JM, Johnston EA, Costea D, Sevick MA, Rogers ES, Jay M, Zhong J, Chodosh J. Adapting the Diabetes Prevention Program for Older Adults: Descriptive Study. JMIR Formative Research 2023;7:e45004
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  63. Zhang N, Li Q, Chen S, Wu Y, Xin B, Wan Q, Shi P, He Y, Yang S, Jiang W. Effectiveness of nurse-led electronic health interventions on illness management in patients with chronic heart failure: A systematic review and meta-analysis. International Journal of Nursing Studies 2024;150:104630
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  64. Rush KL, Burton L, Seaton CL, Loewen P, O'Connor BP, Moroz L, Corman K, Smith MA, Andrade JG. Telehealth Satisfaction in Patients Receiving Virtual Atrial Fibrillation Care: Quantitative Exploratory Study. JMIR Human Factors 2023;10:e50232
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  65. Rauzi MR, Mealer ML, Abbate LM, Stevens-Lapsley JE, Nearing KA. Older Veterans’ Experiences of a Multicomponent Telehealth Program: Qualitative Program Evaluation Study. JMIR Formative Research 2023;7:e46081
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  66. Mackenzie L, DuToit S, McGrath M, Fang Y, Loton C. An Online, Self-Report Version of the Home Falls and Accidents Screening Tool (HOME FAST-SR) to Identify Fall-Related Hazards in the Homes of Older People. Home Health Care Management & Practice 2024;36(2):112
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  67. Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624
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  68. Aranha M, Shemie J, James K, Deasy C, Heavin C. Behavioural intention of mobile health adoption: A study of older adults presenting to the emergency department. Smart Health 2024;31:100435
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.8407):

  1. Waligóra J, Bujnowska–Fedak MM. Medical Science and Research. 2019. Chapter 335:19
    CrossRef
  2. Liu T, Li X. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. 2022. Chapter 36:521
    CrossRef
  3. Aria R, Archer N, Baskaran V, Shah B. Current and Future Trends in Health and Medical Informatics. 2023. Chapter 8:173
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