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

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

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

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

Journals

  1. An L, Wallner L, Kirch M. Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey. JMIR Cancer 2016;2(2):e10 View
  2. Zhao X, Yang B, Wong C. Analyzing Trend for U.S. Immigrants’ e-Health Engagement from 2008 to 2013. Health Communication 2019;34(11):1259 View
  3. Bussey L, Sillence E. The role of internet resources in health decision-making: a qualitative study. DIGITAL HEALTH 2019;5:205520761988807 View
  4. Kye S, Shim M, Kim Y, Park K. Sharing health information online in South Korea: motives, topics, and antecedents. Health Promotion International 2019;34(2):182 View
  5. Jaffe D, Lee L, Huynh S, Haskell T. Health Inequalities in the Use of Telehealth in the United States in the Lens of COVID-19. Population Health Management 2020;23(5):368 View
  6. 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 View
  7. Walker D, Hefner J, Fareed N, Huerta T, McAlearney A. Exploring the Digital Divide: Age and Race Disparities in Use of an Inpatient Portal. Telemedicine and e-Health 2020;26(5):603 View
  8. Sudbury-Riley L, FitzPatrick M, Schulz P. 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 View
  9. 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;10(4):273 View
  10. Kerman H, Deshpande B, Selzer F, Losina E, Katz J. Willingness of older adults to participate in a randomized trial of conservative therapies for knee pain: A prospective preference assessment. Contemporary Clinical Trials Communications 2018;9:93 View
  11. Hamilton E, Saiyed F, Miller C, Eguia A, Fonseca A, Baum G, Tsao K, Austin M. The digital divide in adoption and use of mobile health technology among caregivers of pediatric surgery patients. Journal of Pediatric Surgery 2018;53(8):1478 View
  12. Alang S, Bornstein S. HIV testing history among young adults: The roles of sex, race, and sexual orientation. Journal of HIV/AIDS & Social Services 2018;17(3):180 View
  13. Wright C, Schwarzman J, Dietze P, Crockett B, Lim M. Barriers and opportunities in the translation of mobile phone and social media interventions between research and health promotion practice in Australia: a qualitative study of expert perspectives. Health Research Policy and Systems 2019;17(1) View
  14. Sotillos-González B, Buiza-Camacho B, Herrera-Usagre M, Escobar-Ubreva Á, Fernández-Bermejo M, Santana-López V, Ferrero-Álvarez-Rementería J. Visión ciudadana sobre la prescripción de aplicaciones móviles de salud y el uso de tecnologías de la información y la comunicación en el entorno sanitario en Andalucía. Journal of Healthcare Quality Research 2018;33(4):225 View
  15. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
  16. Tabor H, Jamal S, Yu J, Crouch J, Shankar A, Dent K, Anderson N, Miller D, Futral B, Bamshad M. 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 View
  17. Lopez J, Katic B, Fitz-Randolph M, Jackson R, Chow W, Mullins C. Understanding preferences for type 2 diabetes mellitus self-management support through a patient-centered approach: a 2-phase mixed-methods study. BMC Endocrine Disorders 2016;16(1) View
  18. Medlock S, Eslami S, Askari M, Arts D, Sent D, de Rooij S, Abu-Hanna A. Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research 2015;17(1):e10 View
  19. Kern R, Haase R, Eisele J, 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 View
  20. O’Keefe M, White K, Jennings J. Asynchronous telepsychiatry: A systematic review. Journal of Telemedicine and Telecare 2021;27(3):137 View
  21. de Jong C, Ros W, van Leeuwen M, Schrijvers G. Exploring the effects of patients taking a vigilant role in collaborating on their e-medication administration record. International Journal of Medical Informatics 2016;88:18 View
  22. Shen C, Wang M, Wan A, Viswanath K, Chan S, Lam T. Health information exposure from information and communication technologies and its associations with health behaviors: Population-based survey. Preventive Medicine 2018;113:140 View
  23. Li X. Understanding eHealth Literacy From a Privacy Perspective: eHealth Literacy and Digital Privacy Skills in American Disadvantaged Communities. American Behavioral Scientist 2018;62(10):1431 View
  24. Supervía M, Medina-Inojosa J, Yeung C, Lopez-Jimenez F, Squires R, Pérez-Terzic C, Brewer L, Leth S, Thomas R. Cardiac Rehabilitation for Women: A Systematic Review of Barriers and Solutions. Mayo Clinic Proceedings 2017;92(4):565 View
  25. Stagg B, Gupta D, Ehrlich J, Newman-Casey P, Stein J, Kawamoto K, Hess R. Evaluation for Disparities in Experience With Internet-Based Health Care Among US Patients With Chronic Eye Diseases. JAMA Ophthalmology 2020;138(10):1097 View
  26. Valdez R, Guterbock T, Fitzgibbon K, Williams I, Wellbeloved-Stone C, Bears J, Menefee H. From loquacious to reticent: understanding patient health information communication to guide consumer health IT design. Journal of the American Medical Informatics Association 2017;24(4):680 View
  27. Davis S, O’Malley D, Bator A, Ohman-Strickland P, Clemow L, Ferrante J, Crabtree B, Miller S, Findley P, Hudson S. Rationale and design of extended cancer education for longer term survivors (EXCELS): a randomized control trial of ‘high touch’ vs. ‘high tech’ cancer survivorship self-management tools in primary care. BMC Cancer 2019;19(1) View
  28. Schneider B, Schröder J, Berger T, Hohagen F, Meyer B, Späth C, Greiner W, Hautzinger M, Lutz W, Rose M, Vettorazzi E, Moritz S, Klein J. 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 View
  29. Devan H, Perry M, van Hattem A, Thurlow G, Shepherd S, Muchemwa C, Grainger R. Do pain management websites foster self-management support for people with persistent pain? A scoping review. Patient Education and Counseling 2019;102(9):1590 View
  30. Strekalova Y. Finding Motivation. Qualitative Health Research 2016;26(9):1180 View
  31. Wintner L, Sztankay M, Aaronson N, Bottomley A, Giesinger J, Groenvold M, Petersen M, 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 View
  32. Amo L. Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach. Journal of Medical Internet Research 2016;18(10):e267 View
  33. Hansen A, Claudi T, Årsand E. Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(4):e13678 View
  34. Chung J, Lee C. The impact of cancer information online on cancer fatalism: education and eHealth literacy as moderators. Health Education Research 2019;34(6):543 View
  35. Marrie R, Leung S, Tyry T, Cutter G, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13 View
  36. Kose T, Oymak C. E-health in Turkey: an analysis of consumer activities. Health and Technology 2019;9(2):113 View
  37. Patel D, Sarlati S, Martin-Tuite P, Feler J, Chehab L, Texada M, Marquez R, Orellana F, Henderson T, Nwabuo A, Plevin R, Dicker R, Juillard C, Sammann A. Designing an Information and Communications Technology Tool With and for Victims of Violence and Their Case Managers in San Francisco: Human-Centered Design Study. JMIR mHealth and uHealth 2020;8(8):e15866 View
  38. Tatara N, Hammer H, Andreassen H, Mirkovic J, Kjøllesdal M. 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 View
  39. Greenberg-Worisek A, Kurani S, Finney Rutten L, Blake K, Moser R, Hesse B. Assessing electronic personal health information use: An update on progress toward healthy people 2020 objectives. Health Policy and Technology 2019;8(3):211 View
  40. Marhefka S, Turner D, Lockhart E. Understanding Women's Willingness to Use e-Health for HIV-Related Services: A Novel Application of the Technology Readiness and Acceptance Model to a Highly Stigmatized Medical Condition. Telemedicine and e-Health 2019;25(6):511 View
  41. Meng J, Peng W, Tan P, Liu W, Cheng Y, Bae A. Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter. Computers in Human Behavior 2018;89:111 View
  42. Katic B, Heywood J, Turek F, Chiauzzi E, Vaughan T, Simacek K, Wicks P, Jain S, Winrow C, Renger J. New approach for analyzing self-reporting of insomnia symptoms reveals a high rate of comorbid insomnia across a wide spectrum of chronic diseases. Sleep Medicine 2015;16(11):1332 View
  43. Raber I, McCarthy C, Yeh R. Health Insurance and Mobile Health Devices. JAMA 2019;321(18):1767 View
  44. Lindeman D, Kim K, Gladstone C, Apesoa-Varano E, Hepburn K. Technology and Caregiving: Emerging Interventions and Directions for Research. The Gerontologist 2020;60(Supplement_1):S41 View
  45. Marcu A, Black G, Whitaker K. Variations in trust in Dr Google when experiencing potential breast cancer symptoms: exploring motivations to seek health information online. Health, Risk & Society 2018;20(7-8):325 View
  46. 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 2019;25(3):973 View
  47. Syrjala K, Crouch M, Leisenring W, Flowers M, Artherholt S, Fiscalini A, Romano E, Romano J, Martin P, Yi J. Engagement with INSPIRE, an Online Program for Hematopoietic Cell Transplantation Survivors. Biology of Blood and Marrow Transplantation 2018;24(8):1692 View
  48. Haluza D, Naszay M, Stockinger A, Jungwirth D. Prevailing Opinions on Connected Health in Austria: Results from an Online Survey. International Journal of Environmental Research and Public Health 2016;13(8):813 View
  49. Hong Y, Zhou Z. A Profile of eHealth Behaviors in China: Results From a National Survey Show a Low of Usage and Significant Digital Divide. Frontiers in Public Health 2018;6 View
  50. Spooner K, Salemi J, Salihu H, Zoorob R. eHealth patient-provider communication in the United States: interest, inequalities, and predictors. Journal of the American Medical Informatics Association 2017;24(e1):e18 View
  51. Seale D, LeRouge C, Ohs J, Tao D, Lach H, 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 View
  52. Massey P, Langellier B, Sentell T, Manganello J. Nativity and language preference as drivers of health information seeking: examining differences and trends from a U.S. population-based survey. Ethnicity & Health 2017;22(6):596 View
  53. Huvila I, Enwald H, Eriksson-Backa K, Hirvonen N, Nguyen H, Scandurra I. Anticipating ageing: Older adults reading their medical records. Information Processing & Management 2018;54(3):394 View
  54. Geneviève L, Martani A, Wangmo T, Paolotti D, Koppeschaar C, Kjelsø C, Guerrisi C, Hirsch M, Woolley-Meza O, Lukowicz P, Flahault A, Elger B. Participatory Disease Surveillance Systems: Ethical Framework. Journal of Medical Internet Research 2019;21(5):e12273 View
  55. Swoboda C, Van Hulle J, McAlearney A, Huerta T. Odds of talking to healthcare providers as the initial source of healthcare information: updated cross-sectional results from the Health Information National Trends Survey (HINTS). BMC Family Practice 2018;19(1) View
  56. Frick M, Vachani C, Bach C, Hampshire M, Arnold-Korzeniowski K, Metz J, Hill-Kayser C. Survivorship and the chronic cancer patient: Patterns in treatment-related effects, follow-up care, and use of survivorship care plans. Cancer 2017;123(21):4268 View
  57. Smail-Crevier R, Powers G, Noel C, Wang J. Health-Related Internet Usage and Design Feature Preference for E-Mental Health Programs Among Men and Women. Journal of Medical Internet Research 2019;21(3):e11224 View
  58. Gordon N, Hornbrook M. Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan. Journal of Medical Internet Research 2016;18(3):e50 View
  59. Mauz E, Hoffmann R, Houben R, Krause L, Kamtsiuris P, Gößwald A. Mode Equivalence of Health Indicators Between Data Collection Modes and Mixed-Mode Survey Designs in Population-Based Health Interview Surveys for Children and Adolescents: Methodological Study. Journal of Medical Internet Research 2018;20(3):e64 View
  60. Abdelhamid M, Gaia J, Sanders G. Putting the Focus Back on the Patient: How Privacy Concerns Affect Personal Health Information Sharing Intentions. Journal of Medical Internet Research 2017;19(9):e169 View
  61. Tates K, Antheunis M, Kanters S, Nieboer T, Gerritse M. The Effect of Screen-to-Screen Versus Face-to-Face Consultation on Doctor-Patient Communication: An Experimental Study with Simulated Patients. Journal of Medical Internet Research 2017;19(12):e421 View
  62. Senft N, Everson J. eHealth Engagement as a Response to Negative Healthcare Experiences: Cross-Sectional Survey Analysis. Journal of Medical Internet Research 2018;20(12):e11034 View
  63. Kim S, Hawkins K. The psychology of social media communication in influencing prevention intentions during the 2019 U.S. measles outbreak. Computers in Human Behavior 2020;111:106428 View
  64. Hackett C, Brennan K, Smith Fowler H, Leaver C. Valuing Citizen Access to Digital Health Services: Applied Value-Based Outcomes in the Canadian Context and Tools for Modernizing Health Systems. Journal of Medical Internet Research 2019;21(6):e12277 View
  65. Rad D, Balas V, Lile R, Demeter E, Dughi T, Rad G. Statistical Properties of a New Social Media Context Awareness Scale (SMCA)—A Preliminary Investigation. Sustainability 2020;12(12):5201 View
  66. van Straten A, Lancee J. Digital cognitive behavioural therapy for insomnia: the answer to a major public health issue?. The Lancet Digital Health 2020;2(8):e381 View
  67. Bryan M, Evans Y, Morishita C, Midamba N, Moreno M. Does the Narrative Voice Influence Parental Perceptions of Pediatrician Blogs?. Academic Pediatrics 2021;21(1):139 View
  68. Hung L, Lyons J, Wu C. Health information technology use among older adults in the United States, 2009–2018. Current Medical Research and Opinion 2020;36(5):789 View
  69. Bernecker S, Banschback K, Santorelli G, Constantino M. A Web-Disseminated Self-Help and Peer Support Program Could Fill Gaps in Mental Health Care: Lessons From a Consumer Survey. JMIR Mental Health 2017;4(1):e5 View
  70. Yoo W, Choi D. Predictors of expressing and receiving information on social networking sites during MERS-CoV outbreak in South Korea. Journal of Risk Research 2020;23(7-8):912 View
  71. Sherman L, Patterson M, Tomar A, Wigfall L. Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey. American Journal of Men's Health 2020;14(1):155798832090137 View
  72. Rising C, Bol N, Kreps G. Age-Related Use and Perceptions of eHealth in Men With Prostate Cancer: A Web-Based Survey. JMIR Cancer 2015;1(1):e6 View
  73. Desai T, Yee J, Soman S. Smartphone Apps: A Patient’s New Best Friend?. Clinical Journal of the American Society of Nephrology 2016;11(6):935 View
  74. Loiselle C. Cancer information-seeking preferences linked to distinct patient experiences and differential satisfaction with cancer care. Patient Education and Counseling 2019;102(6):1187 View
  75. Chang F, Chiu C, Chen P, Miao N, Lee C, Chiang J, Pan Y. Relationship Between Parental and Adolescent eHealth Literacy and Online Health Information Seeking in Taiwan. Cyberpsychology, Behavior, and Social Networking 2015;18(10):618 View
  76. Haluza D, Böhm I. The Quantified Woman: Exploring Perceptions on Health App Use among Austrian Females of Reproductive Age. Reproductive Medicine 2020;1(2):132 View
  77. Cnossen I, van Uden-Kraan C, Eerenstein S, Jansen F, Witte B, Lacko M, Hardillo J, Honings J, Halmos G, Goedhart-Schwandt N, de Bree R, Leemans C, Leeuw I. An online self-care education program to support patients after total laryngectomy: feasibility and satisfaction. Supportive Care in Cancer 2016;24(3):1261 View
  78. Benson T. Digital innovation evaluation: user perceptions of innovation readiness, digital confidence, innovation adoption, user experience and behaviour change. BMJ Health & Care Informatics 2019;26(1):e000018 View
  79. Mizrachi Y, Shahrabani S, Nachmani M, Hornik A. Obstacles to using online health services among adults age 50 and up and the role of family support in overcoming them. Israel Journal of Health Policy Research 2020;9(1) View
  80. James G, Nyman E, Fitz-Randolph M, Niklasson A, Hedman K, Hedberg J, Wittbrodt E, Medin J, Moreno Quinn C, Allum A, Emmas C. Characteristics, Symptom Severity, and Experiences of Patients Reporting Chronic Kidney Disease in the PatientsLikeMe Online Health Community: Retrospective and Qualitative Study. Journal of Medical Internet Research 2020;22(7):e18548 View
  81. Kim J, Wineinger N, Taitel M, Radin J, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292 View
  82. Suter P. Vom «Homo sapiens», zum «Homo zappiens», zum «Homo appiens» und schlussendlich zum IT-Zombie. Praxis 2018;107(1):5 View
  83. Groen W, Kuijpers W, Oldenburg H, Wouters M, Aaronson N, van Harten W. Empowerment of Cancer Survivors Through Information Technology: An Integrative Review. Journal of Medical Internet Research 2015;17(11):e270 View
  84. Wangberg S, Sørensen T, Andreassen H. Using the Internet to Support Exercise and Diet: A Stratified Norwegian Survey. Medicine 2.0 2015;4(2):e3 View
  85. Auwerx K, Debbaut P, Van Riel N, Vanhees S, Schoenmakers B. Ziek op internet of ziek door internet?. Huisarts Nu 2016;45(6):260 View
  86. Walton E, Deebajah M, Keeley J, Fakhouri S, Yaguchi G, Pantelic M, Rogers C, Park H, Menon M, Peabody J, Dabaja A, Alanee S. Barriers to obtaining prostate multi‐parametric magnetic resonance imaging in African‐American men on active surveillance for prostate cancer. Cancer Medicine 2019;8(8):3659 View
  87. Hong Y, Cho J. Assessment of eHealth behaviors in national surveys: a systematic review of instruments. Journal of the American Medical Informatics Association 2018;25(12):1675 View
  88. O’Connor S, Hanlon P, O’Donnell C, Garcia S, Glanville J, Mair F. 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) View
  89. Adu M, Malabu U, Malau-Aduli A, Malau-Aduli B, Rodda S. Enablers and barriers to effective diabetes self-management: A multi-national investigation. PLOS ONE 2019;14(6):e0217771 View
  90. Lloyd A, Antonioletti M, Sloan T. Able but not willing? Exploring divides in digital versus physical payment use in China. Information Technology & People 2016;29(2):250 View
  91. Haga S. Informational Quest. Circulation: Cardiovascular Genetics 2017;10(4) View
  92. Timmermans S, Kaufman R. Technologies and Health Inequities. Annual Review of Sociology 2020;46(1):583 View
  93. McCloud R, Okechukwu C, 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 View
  94. McCann L, McMillan K, Pugh G. Digital Interventions to Support Adolescents and Young Adults With Cancer: Systematic Review. JMIR Cancer 2019;5(2):e12071 View
  95. Müller K, Alstadhaug K, Bekkelund S. Headache patients’ satisfaction with telemedicine: a 12-month follow-up randomized non-inferiority trial. European Journal of Neurology 2017;24(6):807 View
  96. Liu T, Ohueri C, Schryver E, Bozic K, Koenig K. Patient-Identified Barriers and Facilitators to Pre-Visit Patient-Reported Outcomes Measures Completion in Patients With Hip and Knee Pain. The Journal of Arthroplasty 2018;33(3):643 View
  97. Cutilli C, Simko L, Colbert A, Bennett I. Health Literacy, Health Disparities, and Sources of Health Information in U.S. Older Adults. Orthopaedic Nursing 2018;37(1):54 View
  98. Baraitser P, Syred J, Spencer-Hughes V, Howroyd C, Free C, Holdsworth G. How online sexual health services could work; generating theory to support development. BMC Health Services Research 2015;15(1) View
  99. Armaou M, Araviaki E, Musikanski L. eHealth and mHealth Interventions for Ethnic Minority and Historically Underserved Populations in Developed Countries: an Umbrella Review. International Journal of Community Well-Being 2020;3(2):193 View
  100. Limbu Y, Giovannetti M, Cardinali S. Dietary supplement usage during pregnancy and lactation: role of online social capital and health information-seeking behaviour. British Food Journal 2020;123(1):31 View
  101. Stagg B, Gupta D, Ehrlich J, Newman-Casey P, Stein J, Kawamoto K, Hess R. The Use of eHealth Practices by United States Patients with Self-Reported Glaucoma. Ophthalmology Glaucoma 2021;4(1):71 View
  102. Laeeq Khan M, Welser H, Cisneros C, Manatong G, Idris I. Digital inequality in the Appalachian Ohio: Understanding how demographics, internet access, and skills can shape vital information use (VIU). Telematics and Informatics 2020;50:101380 View
  103. Bryan M, Evans Y, Morishita C, Midamba N, Moreno M. Parental Perceptions of the Internet and Social Media as a Source of Pediatric Health Information. Academic Pediatrics 2020;20(1):31 View
  104. Geryk L, Blalock S, DeVellis R, Morella K, Carpenter D. Associations Between Patient Characteristics and the Amount of Arthritis Medication Information Patients Receive. Journal of Health Communication 2016;21(10):1122 View
  105. Hong Y, 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 View
  106. Strekalova Y. When Trust Is Not Enough: A Serial Mediation Model Explaining the Effect of Race Identity, eHealth Information Efficacy, and Information Behavior on Intention to Participate in Clinical Research. Health Education & Behavior 2018;45(6):1036 View
  107. Khoong E, Rivadeneira N, Hiatt R, Sarkar U. The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey. Journal of Medical Internet Research 2020;22(4):e16951 View
  108. Kamiński M, Łoniewski I, Marlicz W. “Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data. International Journal of Environmental Research and Public Health 2020;17(3):954 View
  109. Hsieh R, 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 View
  110. Kim S, Castro Sweet C, Gibson E, Madero E, Rubino B, Morrison J, Rosen D, Imberg W, Cousineau M. Evaluation of a digital diabetes prevention program adapted for the Medicaid population: Study design and methods for a non-randomized, controlled trial. Contemporary Clinical Trials Communications 2018;10:161 View
  111. Wang Y, Do D, Wilson F. Immigrants’ Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015. Public Health Reports 2018;133(6):677 View
  112. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  113. 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;7(4):891 View
  114. Nadarzynski T, Bayley J, Llewellyn C, Kidsley S, Graham C. Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice. BMJ Sexual & Reproductive Health 2020;46(3):210 View
  115. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513 View
  116. Greenberg-Worisek A, Kurani S, Finney Rutten L, Blake K, Moser R, Hesse B. Tracking Healthy People 2020 Internet, Broadband, and Mobile Device Access Goals: An Update Using Data From the Health Information National Trends Survey. Journal of Medical Internet Research 2019;21(6):e13300 View
  117. Shen C, Wang M, Chu J, Wan A, Viswanath K, Chan S, Lam T. Sharing Family Life Information Through Video Calls and Other Information and Communication Technologies and the Association With Family Well-Being: Population-Based Survey. JMIR Mental Health 2017;4(4):e57 View
  118. Scott Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):4 View
  119. Paige S, Krieger J, Stellefson M. The Influence of eHealth Literacy on Perceived Trust in Online Health Communication Channels and Sources. Journal of Health Communication 2017;22(1):53 View
  120. Meyer C, Waite M, Atkins J, Scarinci N, Cowan R, Hickson L. Promoting Patient-Centered Hearing Care Through the Use of eHealth: Current Status and Future Possibilities. Perspectives of the ASHA Special Interest Groups 2019;4(2):331 View
  121. Semere W, Crossley S, Karter A, Lyles C, Brown W, Reed M, McNamara D, Liu J, Schillinger D. Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study. Journal of General Internal Medicine 2019;34(11):2490 View
  122. Holt J, Cusatis R, Winn A, Asan O, Spanbauer C, Williams J, Flynn K, Somai M, Laud P, Crotty B. The Impact of Previsit Contextual Data Collection on Patient-Provider Communication and Patient Activation: Study Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(9):e20309 View
  123. Brown-Johnson C, Boeckman L, White A, Burbank A, Paulson S, Beebe L. Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma. JMIR Public Health and Surveillance 2018;4(1):e8 View
  124. Bradley L, Thomas J, Hood M, Corsica J, Kelly M, Sarwer D. Remote assessments and behavioral interventions in post-bariatric surgery patients. Surgery for Obesity and Related Diseases 2018;14(10):1632 View
  125. Powell J, Deetjen U. Characterizing the Digital Health Citizen: Mixed-Methods Study Deriving a New Typology. Journal of Medical Internet Research 2019;21(3):e11279 View
  126. Lattie E, Kashima K, Duffecy J. An open trial of internet-based cognitive behavioral therapy for first year medical students. Internet Interventions 2019;18:100279 View
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  258. Choudhury S, Arora T, Alebbi S, Ahmed L, Aden A, Omar O, Taheri S, Ghezzi P. How Do Qataris Source Health Information?. PLOS ONE 2016;11(11):e0166250 View
  259. Ahmad N, Mat Ludin A, Shahar S, Mohd Noah S, Mohd Tohit N. Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol. BMJ Open 2020;10(3):e033870 View
  260. 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 View
  261. 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 View
  262. Graham R, Smith S. African American Digital Practices: Mobile E-Health and Residential Segregation. Sociological Focus 2018;51(3):186 View
  263. Russell E, Lloyd-Houldey A, Memon A, Yarker J. Factors Influencing Uptake and Use of a New Health Information App for Young People. Journal of Technology in Human Services 2018;36(4):222 View
  264. Swoboda C, Walker D, Huerta T. Odds of Meeting Cancer Prevention Behavior Recommendations by Health Information Seeking Behavior: a Cross-Sectional HINTS Analysis. Journal of Cancer Education 2021;36(1):56 View
  265. Almenara C, Machackova H, Smahel D. Sociodemographic, Attitudinal, and Behavioral Correlates of Using Nutrition, Weight Loss, and Fitness Websites: An Online Survey. Journal of Medical Internet Research 2019;21(4):e10189 View
  266. Leone S, Lokman S, Boon B, van der Poel A, Smit F, Zijlstra-Vlasveld M, Smeets O. Implementing complaint-directed mini-interventions for depressive complaints in primary care to increase participation among patients with a lower socioeconomic status: design of a cluster randomised controlled trial. Trials 2020;21(1) View
  267. Roystonn K, Vaingankar J, Chua B, Sambasivam R, Shafie S, Jeyagurunathan A, Verma S, Abdin E, Chong S, Subramaniam M. The Public Health Impact and Policy Implications of Online Support Group Use for Mental Health in Singapore: Cross-Sectional Survey. JMIR Mental Health 2020;7(8):e18114 View
  268. Coughlin S, Thind H, Liu B, Champagne N, Jacobs M, Massey R. Mobile Phone Apps for Preventing Cancer Through Educational and Behavioral Interventions: State of the Art and Remaining Challenges. JMIR mHealth and uHealth 2016;4(2):e69 View
  269. Rouzbehani K. Emotional Intelligence and Online Healthcare. International Journal of Applied Research on Public Health Management 2019;4(2):1 View
  270. Xesfingi S, Vozikis A. eHealth Literacy: In the Quest of the Contributing Factors. interactive Journal of Medical Research 2016;5(2):e16 View
  271. Wesley D, Schubel L, Hsiao C, Burn S, Howe J, Kellogg K, Lincoln A, Kim B, Ratwani R. A socio-technical systems approach to the use of health IT for patient reported outcomes: Patient and healthcare provider perspectives. Journal of Biomedical Informatics: X 2019;4:100048 View
  272. 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 View
  273. Rosenbaum A, Jones M, Marinescu A, Ellis S. The Utilization of Internet Resources by Foot and Ankle Patients. Foot & Ankle Orthopaedics 2017;2(1):247301141668909 View
  274. Nittas V, Mütsch M, Puhan M. Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study. JMIR Research Protocols 2020;9(2):e16087 View
  275. Fuller-Tyszkiewicz M, Richardson B, Little K, Teague S, Hartley-Clark L, Capic T, Khor S, Cummins R, Olsson C, Hutchinson D. Efficacy of a Smartphone App Intervention for Reducing Caregiver Stress: Randomized Controlled Trial. JMIR Mental Health 2020;7(7):e17541 View
  276. Christiansen T, Lipsitz S, Scanlan M, Yu S, Lindros M, Leung W, Adelman J, Bates D, Dykes P. Patient Activation Related to Fall Prevention: A Multisite Study. The Joint Commission Journal on Quality and Patient Safety 2020;46(3):129 View
  277. Frederix I, Caiani E, Dendale P, Anker S, Bax J, Böhm A, Cowie M, Crawford J, de Groot N, Dilaveris P, Hansen T, Koehler F, Krstačić G, Lambrinou E, Lancellotti P, Meier P, Neubeck L, Parati G, Piotrowicz E, Tubaro M, van der Velde E. ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine. European Journal of Preventive Cardiology 2019;26(11):1166 View
  278. 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 View
  279. Nguyen A, Somerville E, Espín-Tello S, Keglovits M, Stark S. A Mobile App Directory of Occupational Therapists Who Provide Home Modifications: Development and Preliminary Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2020;7(1):e14465 View
  280. Engelen M, van Dulmen S, Puijk-Hekman S, Vermeulen H, Nijhuis-van der Sanden M, Bredie S, van Gaal B. Evaluation of a Web-Based Self-Management Program for Patients With Cardiovascular Disease: Explorative Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e17422 View
  281. Nouri S, Adler-Milstein J, Thao C, Acharya P, Barr-Walker J, Sarkar U, Lyles C. Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review. Journal of the American Medical Informatics Association 2020;27(5):834 View
  282. Barnes L, Khojasteh J, Wheeler D. Cancer information seeking and scanning: Sources and patterns. Health Education Journal 2017;76(7):853 View
  283. Fakhoury M, Gordon B, Shorter B, Renson A, Borofsky M, Cohn M, Cabezon E, Wysock J, Bjurlin M. Perceptions of dietary factors promoting and preventing nephrolithiasis: a cross-sectional survey. World Journal of Urology 2019;37(8):1723 View
  284. Welbie M, Wittink H, Westerman M, Topper I, Snoei J, Devillé W. A Mobile Patient-Reported Outcome Measure App With Talking Touchscreen: Usability Assessment. JMIR Formative Research 2019;3(3):e11617 View
  285. Noblin A, Cortelyou-Ward K. Missing Link of the Health Information Exchange Loop. International Journal of User-Driven Healthcare 2016;6(2):46 View
  286. Langford A, Loeb S. Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis. Journal of Medical Internet Research 2019;21(5):e13512 View
  287. Watson N, Mull K, Heffner J, McClure J, Bricker J. Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions. Journal of Medical Internet Research 2018;20(8):e10351 View
  288. Schneider J, Holland C. 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 View
  289. Jabour S, Page A, Hall S, Rodriguez L, Shields W, Alvanzo A. Information and Communication Technologies Interest, Access, and Use: Cross-Sectional Survey of a Community Sample of Urban, Predominantly Black Women. Journal of Medical Internet Research 2018;20(8):e248 View
  290. Weber W, Reinhardt A, Rossmann C. Lifestyle Segmentation to Explain the Online Health Information–Seeking Behavior of Older Adults: Representative Telephone Survey. Journal of Medical Internet Research 2020;22(6):e15099 View
  291. 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 View
  292. Wieland D, Gibeau A, Dewey C, Roshto M, Frankel H. Patient portal readiness among postpartum patients in a safety net setting. Applied Clinical Informatics 2017;08(03):698 View
  293. Tatara N, Kjøllesdal M, Mirkovic J, Andreassen H. 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 View
  294. Rumbold J, O'Kane M, Philip N, Pierscionek B. Big Data and diabetes: the applications of Big Data for diabetes care now and in the future. Diabetic Medicine 2020;37(2):187 View
  295. Liao S, Zhou Y, Liu Y, Wang R. Variety, frequency, and type of Internet use and its association with risk of depression in middle- and older-aged Chinese: A cross-sectional study. Journal of Affective Disorders 2020;273:280 View
  296. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e210 View
  297. Richards R, Kinnersley P, Brain K, Staffurth J, Wood F. The Preferences of Patients With Cancer Regarding Apps to Help Meet Their Illness-Related Information Needs: Qualitative Interview Study. JMIR mHealth and uHealth 2019;7(7):e14187 View
  298. Gallagher R, Roach K, Sadler L, Glinatsis H, Belshaw J, Kirkness A, Zhang L, Gallagher P, Paull G, Gao Y, Partridge S, 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 View
  299. Öberg U, Isaksson U, Jutterström L, Orre C, Hörnsten Å. Perceptions of Persons With Type 2 Diabetes Treated in Swedish Primary Health Care: Qualitative Study on Using eHealth Services for Self-Management Support. JMIR Diabetes 2018;3(1):e7 View
  300. Peacock S, Reddy A, Leveille S, Walker J, Payne T, Oster N, Elmore J. Patient portals and personal health information online: perception, access, and use by US adults. Journal of the American Medical Informatics Association 2017;24(e1):e173 View
  301. Hong Y, 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 View
  302. Gazibara T, Cakic J, Cakic M, Pekmezovic T, Grgurevic A. eHealth and adolescents in Serbia: psychometric properties of eHeals questionnaire and contributing factors to better online health literacy. Health Promotion International 2019;34(4):770 View
  303. Lewis M, Dicker A. Social Media and Oncology: The Past, Present, and Future of Electronic Communication Between Physician and Patient. Seminars in Oncology 2015;42(5):764 View
  304. Koivumäki T, Pekkarinen S, Lappi M, Väisänen J, Juntunen J, Pikkarainen M. Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study. Journal of Medical Internet Research 2017;19(12):e429 View
  305. Thomas J, Cardinal B. Analyzing Suitability: Are Adult Web Resources on Physical Activity Clear and Useful?. Quest 2020;72(3):316 View
  306. Jin S, Lee Y, Dia D. Analyzing paths from online health information seeking to colorectal cancer screening using health literacy skills frame and cognitive mediation model. Patient Education and Counseling 2019;102(3):416 View
  307. 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 View
  308. 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) View
  309. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  310. Lobban F, Appelbe D, Appleton V, Aref-Adib G, Barraclough J, Billsborough J, Fisher N, Foster S, Gill B, Glentworth D, Harrop C, Johnson S, Jones S, Kovacs T, Lewis E, Mezes B, Morton C, Murray E, O’Hanlon P, Pinfold V, Rycroft-Malone J, Siddle R, Smith J, Sutton C, Viglienghi P, Walker A, Wintermeyer C. An online supported self-management toolkit for relatives of people with psychosis or bipolar experiences: the IMPART multiple case study. Health Services and Delivery Research 2020;8(37):1 View
  311. Calixte R, Rivera A, Oridota O, Beauchamp W, Camacho-Rivera M. Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2020;17(18):6856 View
  312. Melstrom L, Rodin A, Rossi L, Fu P, Fong Y, Sun V. Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning. Journal of Surgical Oncology 2021;123(1):52 View
  313. Kaminski M, Marlicz W, Koulaouzidis A. <p>Googling on Colonoscopy: A Retrospective Analysis of Search Engine Statistics</p>. Clinical and Experimental Gastroenterology 2020;Volume 13:397 View
  314. Kip H, Wentzel J, Kelders S. Shaping Blended Care: Adapting an Instrument to Support Therapists in Using eMental Health. JMIR Mental Health 2020;7(11):e24245 View
  315. Casillas A, Abhat A, Mahajan A, Moreno G, Brown A, Simmons S, Szilagyi P. Portals of Change: How Patient Portals Will Ultimately Work for Safety Net Populations. Journal of Medical Internet Research 2020;22(10):e16835 View
  316. Tauben D, Langford D, Sturgeon J, Rundell S, Towle C, Bockman C, Nicholas M. Optimizing telehealth pain care after COVID-19. Pain 2020;161(11):2437 View
  317. Yang X, Yang N, Lewis D, Parton J, Hudnall M. Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study. Journal of Medical Internet Research 2021;23(2):e25809 View
  318. Bollinger M, Pyne J, Goudie A, Han X, Hudson T, Thompson J. Enrollee Experience with Providers in the Arkansas Medicaid Expansion Program. Journal of General Internal Medicine 2021;36(6):1673 View
  319. Kor P, Leung A, Parial L, Wong E, Dadaczynski K, Okan O, Amoah P, Wang S, Deng R, Cheung T, Molassiotis A. Are People With Chronic Diseases Satisfied With the Online Health Information Related to COVID‐19 During the Pandemic?. Journal of Nursing Scholarship 2021;53(1):75 View
  320. Reinecke F, Dittrich F, Dudda M, Stang A, Polan C, Müller R, Beck P, Kauther M. Acceptance, Barriers, and Future Preferences of Mobile Health Among Patients Receiving Trauma and Orthopedic Surgical Care: Paper-Based Survey in a Prospective Multicenter Study. JMIR mHealth and uHealth 2021;9(4):e23784 View
  321. Schrauben S, Appel L, Rivera E, Lora C, Lash J, Chen J, Hamm L, Fink J, Go A, Townsend R, Deo R, Dember L, Feldman H, Diamantidis C, He J, Nelson R, Rao P, Rahman M, Shah V, Unruh M. Mobile Health (mHealth) Technology: Assessment of Availability, Acceptability, and Use in CKD. American Journal of Kidney Diseases 2021;77(6):941 View
  322. Blok A, Amante D, Hogan T, Sadasivam R, Shimada S, Woods S, Nazi K, Houston T. Impact of Patient Access to Online VA Notes on Healthcare Utilization and Clinician Documentation: a Retrospective Cohort Study. Journal of General Internal Medicine 2021;36(3):592 View
  323. Camacho-Rivera M, Rice S, Oh S, Paris M, Akpara E, Molina J, Obadina M, Mcmillan S, Aracena J, Morency J, Muniz R, Gany F, Brown C, Gonsky J, Osborne J. Cancer Health Impact Program (CHIP): Identifying Social and Demographic Associations of mHealth Access and Cancer Screening Behaviors Among Brooklyn, New York, Residents. Cancer Epidemiology Biomarkers & Prevention 2019;28(3):478 View
  324. Vent-Schmidt J, Goldsmith L, Steiner T. Patients’ Willingness and Perspectives Toward Chimeric Antigen Receptor T-Regulatory Cell Therapy for Inflammatory Bowel Diseases. Crohn's & Colitis 360 2020;2(4) View
  325. Alhusseini N, Banta J, Oh J, Montgomery S. Understanding the Use of Electronic Means to Seek Personal Health Information Among Adults in the United States. Cureus 2020 View
  326. Hunsaker A, Hargittai E, Micheli M. Relationship Between Internet Use and Change in Health Status: Panel Study of Young Adults. Journal of Medical Internet Research 2021;23(1):e22051 View
  327. Makowsky M, Jones C, Davachi S. Prevalence and Predictors of Health-Related Internet and Digital Device Use in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Results From a 2014 Community-Based Survey. JMIR Public Health and Surveillance 2021;7(1):e20671 View
  328. Chen Y, Perez-Cueto F, Giboreau A, Mavridis I, Hartwell H. The Promotion of Eating Behaviour Change through Digital Interventions. International Journal of Environmental Research and Public Health 2020;17(20):7488 View
  329. Areli E, Godfrey H, Perry M, Hempel D, Saipe B, Grainger R, Hale L, Devan H. ‘I think there is nothing . . . that is really comprehensive’: healthcare professionals’ views on recommending online resources for pain self-management. British Journal of Pain 2020:204946372097826 View
  330. Wadensten T, Nyström E, Franzén K, Lindam A, Wasteson E, Samuelsson E. A Mobile App for Self-management of Urgency and Mixed Urinary Incontinence in Women: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(4):e19439 View
  331. Camacho-Rivera M, Islam J, Rivera A, Vidot D. Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey. JMIR mHealth and uHealth 2020;8(12):e24693 View
  332. Missler M, van Straten A, Denissen J, Donker T, Beijers R. Effectiveness of a psycho-educational intervention for expecting parents to prevent postpartum parenting stress, depression and anxiety: a randomized controlled trial. BMC Pregnancy and Childbirth 2020;20(1) View
  333. Kim H, Mahmood A, Goldsmith J, Chang H, Kedia S, Chang C. Access to Broadband Internet and its Utilization for Health Information Seeking and Health Communication among Informal Caregivers in the United States. Journal of Medical Systems 2021;45(2) View
  334. Foley K, Freeman T, Ward P, Lawler A, Osborne R, Fisher M. Exploring access to, use of and benefits from population-oriented digital health services in Australia. Health Promotion International 2020 View
  335. Tamiru A, Rade B, Taye E, Azene Z, Merid M, Muluneh A, Kassa G, Yenit M, Taddese A, Gelaye K, Geberu D, Tilahun S, Mekonnen H, Azagew A, Wubneh C, Belay G, Assimamaw N, Agegnehu C, Azale T, Andualem Z, Dagne H, Gashaye K, Kabito G, Mekonnen T, Daba S, Azanaw J, Adane T, Alemayehu M. <p>Community Level of COVID-19 Information Exposure and Influencing Factors in Northwest Ethiopia</p>. Risk Management and Healthcare Policy 2020;Volume 13:2635 View
  336. Darrat I, Tam S, Boulis M, Williams A. Socioeconomic Disparities in Patient Use of Telehealth During the Coronavirus Disease 2019 Surge. JAMA Otolaryngology–Head & Neck Surgery 2021;147(3):287 View
  337. Chandrasekaran R, Katthula V, Moustakas E. Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey. Journal of Medical Internet Research 2020;22(10):e22443 View
  338. Kankaanranta M, Mehtälä S, Hankala M, Merjovaara O, Rousi R. Children’s conceptions of mental well-being and ideas for its promotion through digital environments. International Journal of Child-Computer Interaction 2021;27:100242 View
  339. Feeney M, Xu Y, Surface M, Shah H, Vanegas-Arroyave N, Chan A, Delaney E, Przedborski S, Beck J, Alcalay R. The impact of COVID-19 and social distancing on people with Parkinson’s disease: a survey study. npj Parkinson's Disease 2021;7(1) View
  340. Christie H, Boots L, Hermans I, Govers M, Tange H, Verhey F, de Vugt M. Business Models of eHealth Interventions to Support Informal Caregivers of People With Dementia in the Netherlands: Analysis of Case Studies. JMIR Aging 2021;4(2):e24724 View
  341. Camacho-Rivera M, Gonzalez C, Morency J, Blake K, Calixte R. Heterogeneity in Trust of Cancer Information among Hispanic Adults in the United States: An Analysis of the Health Information National Trends Survey. Cancer Epidemiology Biomarkers & Prevention 2020;29(7):1348 View
  342. Lu D, Girgis M, David J, Chung E, Atkins K, Kamrava M. Evaluation of Mobile Health Applications to Track Patient-Reported Outcomes for Oncology Patients: A Systematic Review. Advances in Radiation Oncology 2021;6(1):100576 View
  343. Chou W, Gaysynsky A, Trivedi N, Vanderpool R. Using Social Media for Health: National Data from HINTS 2019. Journal of Health Communication 2021;26(3):184 View
  344. Nwokeji U, Spaulding E, Shan R, Turkson-Ocran R, Baptiste D, Koirala B, Plante T, Martin S, Commodore-Mensah Y. Health Information Technology Use among Persons with Self-Reported Atherosclerotic Cardiovascular Disease: An analysis of the 2011-2018 National Health Interview Survey (Preprint). Journal of Medical Internet Research 2020 View
  345. Lahat A, Shatz Z. Telemedicine in clinical gastroenterology practice: what do patients prefer?. Therapeutic Advances in Gastroenterology 2021;14:175628482198917 View
  346. Horrell L, Hayes S, Herbert L, MacTurk K, Lawhon L, Valle C, Bhowmick A. Telemedicine Use and Health-Related Concerns of Patients With Chronic Conditions During COVID-19: Survey of Members of Online Health Communities. Journal of Medical Internet Research 2021;23(2):e23795 View
  347. Karim J, Talhouk A. Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(5):e26110 View
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Books/Policy Documents

  1. Bertschi I, Levin-Zamir D. Health Literacy im Kindes- und Jugendalter. View
  2. Rouzbehani K. Handbook of Research on Transdisciplinary Knowledge Generation. View
  3. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  4. Rossmann C, Stehr P. Handbuch Online-Kommunikation. View
  5. Marr M, Zillien N. Handbuch Online-Kommunikation. View
  6. Kushalnagar P, Kushalnagar R. eHealth: Current Evidence, Promises, Perils and Future Directions. View
  7. . Emerging Technologies in Healthcare. View
  8. Wright K. The Handbook of Applied Communication Research. View
  9. Rossmann C, Stehr P. Handbuch Online-Kommunikation. View
  10. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  11. Noblin A, Cortelyou-Ward K. Health Care Delivery and Clinical Science. View
  12. Pandey J, Saha S, Mukherjee S, Pandey V, Jha A. Advances in Communication, Devices and Networking. View
  13. Sayed M, Kubalski S. Digitales Betriebliches Gesundheitsmanagement. View
  14. Robinson S, Troosters T, Moy M. Enhancing Patient Engagement in Pulmonary Healthcare. View
  15. Marr M, Zillen N. Handbuch Organisationssoziologie. View
  16. Huo J, Turner K. Social Web and Health Research. View
  17. Holban I, Duca I, Gherghina R, Mândricel D, Nicolescu E. Encyclopedia of Organizational Knowledge, Administration, and Technology. View
  18. Pandey J, Saha S, Jha A. Advances in Power Systems and Energy Management. View
  19. Flahault A. Handbook of Global Health. View
  20. Mahmoud E, Sykes E, Eram B, Schwenger S, Poulin J, Cheers M. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3. View
  21. Rani J, Saha S, Pandey V, Jha A. Advances in Systems, Control and Automations. View
  22. Wright K. Communicating Science in Times of Crisis. View
  23. Flahault A. Handbook of Global Health. View
  24. Cronin R, Jimison H, Johnson K. Biomedical Informatics. View