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Journal of Medical Internet Research

Citing this Article

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Published on 16.07.14 in Vol 16, No 7 (2014): July

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

Works citing "Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3117):

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

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  4. Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach. Journal of Medical Internet Research 2017;19(4):e125
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  7. Golsteijn RHJ, Bolman C, Peels DA, Volders E, de Vries H, Lechner L. A Web-Based and Print-Based Computer-Tailored Physical Activity Intervention for Prostate and Colorectal Cancer Survivors: A Comparison of User Characteristics and Intervention Use. Journal of Medical Internet Research 2017;19(8):e298
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  8. Deighan C, Michalova L, Pagliari C, Elliott J, Taylor L, Ranaldi H. The Digital Heart Manual: A pilot study of an innovative cardiac rehabilitation programme developed for and with users. Patient Education and Counseling 2017;100(8):1598
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  10. Tatara N, Hammer HL, Andreassen HK, Mirkovic J, Kjøllesdal MKR. The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2017;3(4):e68
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  11. Sander L, Paganini S, Lin J, Schlicker S, Ebert DD, Buntrock C, Baumeister H. Effectiveness and cost-effectiveness of a guided Internet- and mobile-based intervention for the indicated prevention of major depression in patients with chronic back pain—study protocol of the PROD-BP multicenter pragmatic RCT. BMC Psychiatry 2017;17(1)
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  12. Duroseau N, Abramson T, Pergament K, Chan V, Govindavari JP, Ciraco C, Tegay D, Krishnamachari B. Acceptance of technology-based tools in a sample of Parkinson’s patients. Chronic Illness 2017;13(1):3
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  13. Chae J. How we use the Internet matters for health: The relationship between various online health-related activities and preventive dietary behaviors. Health Informatics Journal 2017;:146045821773567
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  19. Schneider JA, Holland CP. eHealth Search Patterns: A Comparison of Private and Public Health Care Markets Using Online Panel Data. Journal of Medical Internet Research 2017;19(4):e117
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  23. McGrail KM, Ahuja MA, Leaver CA. Virtual Visits and Patient-Centered Care: Results of a Patient Survey and Observational Study. Journal of Medical Internet Research 2017;19(5):e177
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  24. Cordoş A, Bolboacă S, Drugan C. Social Media Usage for Patients and Healthcare Consumers: A Literature Review. Publications 2017;5(2):9
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  26. Elavsky S, Smahel D, Machackova H. Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics. Translational Behavioral Medicine 2017;
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  28. Penno E, Gauld R. Change, Connectivity, and Challenge: Exploring the Role of Health Technology in Shaping Health Care for Aging Populations in Asia Pacific. Health Systems & Reform 2017;3(3):224
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  29. De Cock N, Vangeel J, Lachat C, Beullens K, Vervoort L, Goossens L, Maes L, Deforche B, De Henauw S, Braet C, Eggermont S, Kolsteren P, Van Camp J, Van Lippevelde W. Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents. JMIR mHealth and uHealth 2017;5(4):e58
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  30. Müller KI, Alstadhaug KB, Bekkelund SI. Headache patients’ satisfaction with telemedicine: a 12-month follow-up randomized non-inferiority trial. European Journal of Neurology 2017;24(6):807
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  31. Rosenbaum AJ, Jones MT, Marinescu A, Ellis SJ. The Utilization of Internet Resources by Foot and Ankle Patients. Foot & Ankle Orthopaedics 2017;2(1):247301141668909
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  32. Duplaga M, Jan Y. Digital divide among people with disabilities: Analysis of data from a nationwide study for determinants of Internet use and activities performed online. PLOS ONE 2017;12(6):e0179825
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  33. Hong YA, Zhou Z, Fang Y, Shi L. The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications. Journal of Medical Internet Research 2017;19(9):e317
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  34. Hayat T, Brainin E, Neter E. With Some Help From My Network: Supplementing eHealth Literacy With Social Ties. Journal of Medical Internet Research 2017;19(3):e98
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  35. Myrick JG, Willoughby JF. Educated but anxious: How emotional states and education levels combine to influence online health information seeking. Health Informatics Journal 2017;:146045821771956
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  36. Rathert C, Mittler JN, Banerjee S, McDaniel J. Patient-centered communication in the era of electronic health records: What does the evidence say?. Patient Education and Counseling 2017;100(1):50
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  37. Strekalova YA. Electronic health record use among cancer patients: Insights from the Health Information National Trends Survey. Health Informatics Journal 2017;:146045821770424
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  38. Lämsä E, Timonen J, Mäntyselkä P, Ahonen R. Pharmacy customers’ experiences with the national online service for viewing electronic prescriptions in Finland. International Journal of Medical Informatics 2017;97:221
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  39. Tabor HK, Jamal SM, Yu J, Crouch JM, Shankar AG, Dent KM, Anderson N, Miller DA, Futral BT, Bamshad MJ. My46: a Web-based tool for self-guided management of genomic test results in research and clinical settings. Genetics in Medicine 2017;19(4):467
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  40. Latulippe K, Hamel C, Giroux D. Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies. Journal of Medical Internet Research 2017;19(4):e136
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  41. Supervía M, Medina-Inojosa JR, Yeung C, Lopez-Jimenez F, Squires RW, Pérez-Terzic CM, Brewer LC, Leth SE, Thomas RJ. Cardiac Rehabilitation for Women: A Systematic Review of Barriers and Solutions. Mayo Clinic Proceedings 2017;92(4):565
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  42. 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
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  43. Baumann E, Czerwinski F, Reifegerste D. Gender-Specific Determinants and Patterns of Online Health Information Seeking: Results From a Representative German Health Survey. Journal of Medical Internet Research 2017;19(4):e92
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  44. Nguyen A, Mosadeghi S, Almario CV. Persistent digital divide in access to and use of the Internet as a resource for health information: Results from a California population-based study. International Journal of Medical Informatics 2017;103:49
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  45. Kye SY, Shim M, Kim YC, Park K. Sharing health information online in South Korea: motives, topics, and antecedents. Health Promotion International 2017;
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  46. Serrano KJ, Thai CL, Greenberg AJ, Blake KD, Moser RP, Hesse BW. Progress on Broadband Access to the Internet and Use of Mobile Devices in the United States. Public Health Reports 2017;132(1):27
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  47. Sudbury-Riley L, FitzPatrick M, Schulz PJ. Exploring the Measurement Properties of the eHealth Literacy Scale (eHEALS) Among Baby Boomers: A Multinational Test of Measurement Invariance. Journal of Medical Internet Research 2017;19(2):e53
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  48. Marimwe C, Dowse R. Development of an Item Bank of health literacy questions appropriate for limited literacy public sector patients in South Africa. Journal of Communication in Healthcare 2017;:1
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  49. Hamilton EC, Saiyed F, Miller CC, Eguia A, Fonseca AC, Baum GP, Tsao K, Austin MT. The digital divide in adoption and use of mobile health technology among caregivers of pediatric surgery patients. Journal of Pediatric Surgery 2017;
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  50. Novillo-Ortiz D, Hernández-Pérez T, Saigí-Rubió F. Availability of information in Public Health on the Internet: An analysis of national health authorities in the Spanish-speaking Latin American and Caribbean countries. International Journal of Medical Informatics 2017;100:46
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  51. Strekalova YA, Krieger JL. Beyond Words: Amplification of Cancer Risk Communication on Social Media. Journal of Health Communication 2017;22(10):849
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  52. Sinclair M, Lagan B, Dolk H, McCullough JEM. An assessment of pregnant women's knowledge and use of the Internet for medication safety information and purchase. Journal of Advanced Nursing 2017;
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  53. Valdez RS, Guterbock TM, Fitzgibbon K, Williams IC, Wellbeloved-Stone CA, Bears JE, Menefee HK. From loquacious to reticent: understanding patient health information communication to guide consumer health IT design. Journal of the American Medical Informatics Association 2017;:ocw155
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  54. Wintner LM, Sztankay M, Aaronson N, Bottomley A, Giesinger JM, Groenvold M, Petersen MA, van de Poll-Franse L, Velikova G, Verdonck-de Leeuw I, Holzner B. The use of EORTC measures in daily clinical practice—A synopsis of a newly developed manual. European Journal of Cancer 2016;68:73
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  55. Hsieh RW, Chen L, Chen T, Liang J, Lin T, Chen Y, Tsai C. The Association Between Internet Use and Ambulatory Care-Seeking Behaviors in Taiwan: A Cross-Sectional Study. Journal of Medical Internet Research 2016;18(12):e319
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  56. Kim K, Seok H, Proctor RW. Comparison of national e-health implementation in the United States and South Korea. Human Factors and Ergonomics in Manufacturing & Service Industries 2016;26(6):692
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  57. Cutrona SL, Mazor KM, Agunwamba AA, Valluri S, Wilson PM, Sadasivam RS, Finney Rutten LJ. Health Information Brokers in the General Population: An Analysis of the Health Information National Trends Survey 2013-2014. Journal of Medical Internet Research 2016;18(6):e123
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  58. Chiauzzi E, DasMahapatra P, Cochin E, Bunce M, Khoury R, Dave P. Factors in Patient Empowerment: A Survey of an Online Patient Research Network. The Patient - Patient-Centered Outcomes Research 2016;9(6):511
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  59. Kruse CS, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting Telemedicine worldwide: A systematic review. Journal of Telemedicine and Telecare 2016;:1357633X1667408
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  60. Strekalova YA. Finding Motivation. Qualitative Health Research 2016;26(9):1180
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  61. Geryk LL, Blalock S, DeVellis RF, Morella K, Carpenter DM. Associations Between Patient Characteristics and the Amount of Arthritis Medication Information Patients Receive. Journal of Health Communication 2016;21(10):1122
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  62. O’Connor S, Hanlon P, O’Donnell CA, Garcia S, Glanville J, Mair FS. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Medical Informatics and Decision Making 2016;16(1)
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  63. Xesfingi S, Vozikis A. eHealth Literacy: In the Quest of the Contributing Factors. interactive Journal of Medical Research 2016;5(2):e16
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  64. Spooner KK, Salemi JL, Salihu HM, Zoorob RJ. eHealth patient-provider communication in the United States: interest, inequalities, and predictors. Journal of the American Medical Informatics Association 2016;:ocw087
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  65. McCloud RF, Okechukwu CA, Sorensen G, Viswanath K. Entertainment or Health? Exploring the Internet Usage Patterns of the Urban Poor: A Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(3):e46
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  66. Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics. JMIR mHealth and uHealth 2016;4(2):e41
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  67. Faith J, Thorburn S, Smit E. Body mass index and the use of the Internet for health information. Health Education Journal 2016;75(1):94
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  68. Amo L. Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach. Journal of Medical Internet Research 2016;18(10):e267
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  69. Frisbee KL. Variations in the Use of mHealth Tools: The VA Mobile Health Study. JMIR mHealth and uHealth 2016;4(3):e89
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  70. Manganello JA, Gerstner G, Pergolino K, Graham Y, Strogatz D. Understanding Digital Technology Access and Use Among New York State Residents to Enhance Dissemination of Health Information. JMIR Public Health and Surveillance 2016;2(1):e9
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  71. 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
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  72. Iskander M, Lou J, Wells M, Scarbecz M. A poster and a mobile healthcare application as information tools for dental trauma management. Dental Traumatology 2016;32(6):457
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  73. An LC, Wallner L, Kirch MA. Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey. JMIR Cancer 2016;2(2):e10
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  74. Shahrabani S, Mizrachi Y. Factors affecting compliance with use of online healthcare services among adults in Israel. Israel Journal of Health Policy Research 2016;5(1)
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  75. Ginossar T. Predictors of Online Cancer Prevention Information Seeking Among Patients and Caregivers Across the Digital Divide: A Cross-Sectional, Correlational Study. JMIR Cancer 2016;2(1):e2
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  76. Strekalova YA. Emergent health risks and audience information engagement on social media. American Journal of Infection Control 2016;44(3):363
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  77. Tatara N, Kjøllesdal MKR, Mirkovic J, Andreassen HK. eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol. JMIR Research Protocols 2016;5(2):e79
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  78. Blackstock OJ, Cunningham CO, Haughton LJ, Garner RY, Norwood C, Horvath KJ. Higher eHealth Literacy is Associated With HIV Risk Behaviors among HIV-Infected Women Who Use the Internet. Journal of the Association of Nurses in AIDS Care 2016;27(1):102
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  79. Mesch GS. Ethnic origin and access to electronic health services. Health Informatics Journal 2016;22(4):791
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  81. Hong YA, Cho J. Has the Digital Health Divide Widened? Trends of Health-Related Internet Use Among Older Adults From 2003 to 2011. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 2016;:gbw100
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  85. Kern R, Haase R, Eisele JC, Thomas K, Ziemssen T. Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System. interactive Journal of Medical Research 2016;5(1):e2
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  86. Torrent-Sellens J, Díaz-Chao , Soler-Ramos I, Saigí-Rubió F. Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users. Journal of Medical Internet Research 2016;18(7):e188
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3117)

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  1. Emerging Technologies in Healthcare. 2015. :121
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