Published on in Vol 2, No 3 (2014): Jul-Sep

Attitudes and Preferences on the Use of Mobile Health Technology and Health Games for Self-Management: Interviews With Older Adults on Anticoagulation Therapy

Attitudes and Preferences on the Use of Mobile Health Technology and Health Games for Self-Management: Interviews With Older Adults on Anticoagulation Therapy

Attitudes and Preferences on the Use of Mobile Health Technology and Health Games for Self-Management: Interviews With Older Adults on Anticoagulation Therapy

Journals

  1. Senteio C. Investigating the Enduring Impact of a Community-Based Health Education Program to Promote African American Elders’ Use of Technology Designed to Support Chronic Disease Self-Management. Geriatrics 2018;3(4):70 View
  2. Lee J, Evangelista L, Moore A, Juth V, Guo Y, Gago-Masague S, Lem C, Nguyen M, Khatibi P, Baje M, Amin A. Feasibility Study of a Mobile Health Intervention for Older Adults on Oral Anticoagulation Therapy. Gerontology and Geriatric Medicine 2016;2 View
  3. Kassianos A, Emery J, Murchie P, Walter F. Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review. British Journal of Dermatology 2015;172(6):1507 View
  4. Russell A, Smith S, Bailey S, Belter L, Pandit A, Hedlund L, Bojarski E, Rush S, Wolf M. Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management. Journal of Health Communication 2018;23(12):1064 View
  5. Subhi Y, Bube S, Rolskov Bojsen S, Skou Thomsen A, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79 View
  6. Portz J, Fruhauf C, Bull S, Boxer R, Bekelman D, Casillas A, Gleason K, Bayliss E. “Call a Teenager… That’s What I Do!” - Grandchildren Help Older Adults Use New Technologies: Qualitative Study. JMIR Aging 2019;2(1):e13713 View
  7. Carlo A, Hosseini Ghomi R, Renn B, Areán P. By the numbers: ratings and utilization of behavioral health mobile applications. npj Digital Medicine 2019;2(1) View
  8. Naderi Haji M, Moghaddasi H, Sharif-Kashani B, Kazemi A, Rahimi F. Characteristics of software used in self-management of vitamin K antagonist therapy: A systematic review. European Journal of Cardiovascular Nursing 2019;18(5):358 View
  9. Abbasi R, Zare S, Ahmadian L. Investigating the attitude of patients with chronic diseases about using mobile health. International Journal of Technology Assessment in Health Care 2020;36(2):139 View
  10. Jiang J, Zhu Q, Zheng Y, Zhu Y, Li Y, Huo Y. Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(2):e10117 View
  11. Lin T, Bautista J, Core R. Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors. Informatics for Health and Social Care 2020;45(4):360 View
  12. Hill N, Mogle J, Colancecco E, Dick R, Hannan J, Lin F. Feasibility study of an attention training application for older adults. International Journal of Older People Nursing 2015;10(3):241 View
  13. Li P, Luo Y, Yu X, Wen J, Mason E, Li W, Jalali M. Patients’ Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China. Journal of Medical Internet Research 2020;22(6):e17221 View
  14. Waring M, Hills M, Lessard D, Saczynski J, Libby B, Holovatska M, Kapoor A, Kiefe C, McManus D. Characteristics Associated With Facebook Use and Interest in Digital Disease Support Among Older Adults With Atrial Fibrillation: Cross-Sectional Analysis of Baseline Data From the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) Cohort. JMIR Cardio 2019;3(2):e15320 View
  15. Evangelista L, Ghasemzadeh H, Lee J, Fallahzadeh R, Sarrafzadeh M, Moser D. Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure. Technology and Health Care 2017;25(3):425 View
  16. Miah S, Gammack J, Hasan N. Extending the framework for mobile health information systems Research: A content analysis. Information Systems 2017;69:1 View
  17. Arean P, Hallgren K, Jordan J, Gazzaley A, Atkins D, Heagerty P, Anguera J. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research 2016;18(12):e330 View
  18. Shade M, Boron J, Manley N, Kupzyk K, Pullen C. Ease of Use and Usefulness of Medication Reminder Apps among Rural Aging Adults. Journal of Community Health Nursing 2019;36(3):105 View
  19. Park L, Ng F, K Shim J, Elnaggar A, Villero O. Perceptions and experiences of using mobile technology for medication adherence among older adults with coronary heart disease: A qualitative study. DIGITAL HEALTH 2020;6 View
  20. Sun L, Wang Y, Greene B, Xiao Q, Jiao C, Ji M, Wu Y. Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases. BMC Medical Informatics and Decision Making 2017;17(1) View
  21. 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 View
  22. Shilbayeh S, Ismail S, Qian M. Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population. Cogent Psychology 2020;7(1) View
  23. 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 View
  24. Tu J, Shen M, Zhong J, Yuan G, Chen M. The Perceptions and Experiences of Mobile Health Technology by Older People in Guangzhou, China: A Qualitative Study. Frontiers in Public Health 2021;9 View
  25. Foster M, Xiong W, Quintiliani L, Hartmann C, Gaehde S. Preferences of Older Adult Veterans With Heart Failure for Engaging With Mobile Health Technology to Support Self-care: Qualitative Interview Study Among Patients With Heart Failure and Content Analysis. JMIR Formative Research 2022;6(12):e41317 View
  26. Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare 2021;9(11):1494 View
  27. Lyu M, Zhao Q, Yang Y, Hao X, Qin Y, Li K. Benefits of and barriers to telehealth for the informal caregivers of elderly individuals in rural areas: A scoping review. Australian Journal of Rural Health 2022;30(4):442 View
  28. Costello R, Smith L. An Innovative Approach of Using Mobile Gaming to Bridge Well-Being, Anxiety, Depression, and Isolation. International Journal of Adult Education and Technology 2022;13(1):1 View
  29. Praus F, Krzowski B, Walther T, Gratzke C, Balsam P, Miernik A, Pohlmann P. Smartphone Apps for Managing Antithrombotic Therapy: Scoping Literature Review. JMIR Cardio 2022;6(1):e29481 View
  30. Cooper L, Fuzesi P, Jacob S, Kamalakannan S, Lennon M, Macaden L, Smith A, Welsh T, Broadfoot K, Watson M. Assistive technologies and strategies to support the medication management of individuals with hearing and/or visual impairment: A scoping review. Disability and Health Journal 2023;16(4):101500 View
  31. Lee P, DuMontier C, Yu W, Ask L, Zhou J, Testa M, Kim D, Abel G, Travison T, Manor B, Lo O. Validity and Reliability of a Smartphone Application for Home Measurement of Four-Meter Gait Speed in Older Adults. Bioengineering 2024;11(3):257 View
  32. Mondragón Gómez R, Martínez Vélez N, Tiburcio Sainz M, Fernández Torres M. Design, reliability, and validity of the acceptability of internet-based psychological interventions questionnaire in Mexican university students. Salud mental 2024;47(3):107 View

Books/Policy Documents

  1. John O, Fallavollita P. Connected Health in Smart Cities. View
  2. Miah S. Handbook of Large-Scale Distributed Computing in Smart Healthcare. View
  3. Chawla S, Sabharwal J, McCarthy B, Erhardt R. Broadening Cultural Horizons in Social Marketing. View