Barriers and Facilitators to Home Computer and Internet Use Among Urban Novice Computer Users of Low Socioeconomic Position

Barriers and Facilitators to Home Computer and Internet Use Among Urban Novice Computer Users of Low Socioeconomic Position

Barriers and Facilitators to Home Computer and Internet Use Among Urban Novice Computer Users of Low Socioeconomic Position

Authors of this article:

Emily Kontos Author Orcid Image ;   Gary Bennett ;   K Viswanath

Journals

  1. Estrada E, Ramirez A, Gamboa S, Amezola de herrera P. Development of a Participatory Health Communication Intervention: An Ecological Approach to Reducing Rural Information Inequality and Health Disparities. Journal of Health Communication 2018;23(8):773 View
  2. Hovick S, Liang M, Kahlor L. Predicting Cancer Risk Knowledge and Information Seeking: The Role of Social and Cognitive Factors. Health Communication 2014;29(7):656 View
  3. Wright M, Grabowsky A. The role of the adult educator in helping learners access and select quality health information on the Internet. New Directions for Adult and Continuing Education 2011;2011(130):79 View
  4. Galarce E, Ramanadhan S, Weeks J, Schneider E, Gray S, Viswanath K. Class, race, ethnicity and information needs in post-treatment cancer patients. Patient Education and Counseling 2011;85(3):432 View
  5. Hovick S, Freimuth V, Johnson‐Turbes A, Chervin D. Multiple Health Risk Perception and Information Processing Among African Americans and Whites Living in Poverty. Risk Analysis 2011;31(11):1789 View
  6. Nakash O, Hayat T, Abu Kaf S, Cohen M. Association between Knowledge about How to Search for Mental Health Information and Emotional Distress among Older Adults: The Moderating Role of Immigration Status. Journal of Gerontological Social Work 2020;63(1-2):78 View
  7. Cheung C, Tong E, Cheung N, Chan W, Wang H, Kwan M, Fan C, Liu K, Wong M. Factors Associated With Adoption of the Electronic Health Record System Among Primary Care Physicians. JMIR Medical Informatics 2013;1(1):e1 View
  8. Willis E. The making of expert patients: The role of online health communities in arthritis self-management. Journal of Health Psychology 2014;19(12):1613 View
  9. Choi N. Relationship Between Health Service Use and Health Information Technology Use Among Older Adults: Analysis of the US National Health Interview Survey. Journal of Medical Internet Research 2011;13(2):e33 View
  10. Kim S. An exploratory study of inactive health information seekers. International Journal of Medical Informatics 2015;84(2):119 View
  11. 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 View
  12. Mishuris R, Stewart M, Fix G, Marcello T, McInnes D, Hogan T, Boardman J, Simon S. Barriers to patient portal access among veterans receiving home‐based primary care: a qualitative study. Health Expectations 2015;18(6):2296 View
  13. Kontos E, Emmons K, Puleo E, Viswanath K. Communication Inequalities and Public Health Implications of Adult Social Networking Site Use in the United States. Journal of Health Communication 2010;15(sup3):216 View
  14. Wigfall L, Friedman D. Cancer Information Seeking and Cancer-Related Health Outcomes: A Scoping Review of the Health Information National Trends Survey Literature. Journal of Health Communication 2016;21(9):989 View
  15. Taylor-Clark K, Viswanath K, Blendon R. Communication Inequalities During Public Health Disasters: Katrina's Wake. Health Communication 2010;25(3):221 View
  16. Mehlman M. Why Physicians Are Fiduciaries For Their Patients. Indiana Health Law Review 2015;12(1):1 View
  17. Ranney M, Choo E, Wang Y, Baum A, Clark M, Mello M. Emergency Department Patients' Preferences for Technology-Based Behavioral Interventions. Annals of Emergency Medicine 2012;60(2):218 View
  18. Kayser L, Kushniruk A, Osborne R, Norgaard O, Turner P. Enhancing the Effectiveness of Consumer-Focused Health Information Technology Systems Through eHealth Literacy: A Framework for Understanding Users' Needs. JMIR Human Factors 2015;2(1):e9 View
  19. Yingling L, Brooks A, Wallen G, Peters-Lawrence M, McClurkin M, Cooper-McCann R, Wiley Jr K, Mitchell V, Saygbe J, Johnson T, Curry R, Johnson A, Graham A, Graham L, Powell-Wiley T. Community Engagement to Optimize the Use of Web-Based and Wearable Technology in a Cardiovascular Health and Needs Assessment Study: A Mixed Methods Approach. JMIR mHealth and uHealth 2016;4(2):e38 View
  20. Jun J, Nan X. Comparative risk assessment and cessation information seeking among smokeless tobacco users. Addictive Behaviors 2018;80:14 View
  21. Kerr C, Murray E, Noble L, Morris R, Bottomley C, Stevenson F, Patterson D, Peacock R, Turner I, Jackson K, Nazareth I. The Potential of Web-based Interventions for Heart Disease Self-Management: A Mixed Methods Investigation. Journal of Medical Internet Research 2010;12(4):e56 View
  22. Kontos E, Blake K, Chou W, Prestin A. Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012. Journal of Medical Internet Research 2014;16(7):e172 View
  23. Andreassen C, Torsheim T, Pallesen S. Predictors of Use of Social Network Sites at Work - A Specific Type of Cyberloafing. Journal of Computer-Mediated Communication 2014;19(4):906 View
  24. Yingling L, Mitchell V, Ayers C, Peters-Lawrence M, Wallen G, Brooks A, Troendle J, Adu-Brimpong J, Thomas S, Henry J, Saygbe J, Sampson D, Johnson A, Graham A, Graham L, Wiley K, Powell-Wiley T. Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment. Translational Behavioral Medicine 2017;7(4):719 View
  25. Gené Badia J, Grau I, Sánchez E, Bernardo M. Klopi ha colgado un «post». Atención Primaria 2008;40(8):385 View
  26. Castillo-Arcos L, Benavides-Torres R, López-Rosales F, Onofre-Rodríguez D, Valdez-Montero C, Maas-Góngora L. The effect of an Internet-based intervention designed to reduce HIV/AIDS sexual risk among Mexican adolescents. AIDS Care 2016;28(2):191 View
  27. Crook B, Stephens K, Pastorek A, Mackert M, Donovan E. Sharing Health Information and Influencing Behavioral Intentions: The Role of Health Literacy, Information Overload, and the Internet in the Diffusion of Healthy Heart Information. Health Communication 2016;31(1):60 View
  28. SILVER M. Socio-economic status over the lifecourse and internet use in older adulthood. Ageing and Society 2014;34(6):1019 View
  29. Chiu T, Eysenbach G. Theorizing the health service usage behavior of family caregivers: A qualitative study of an internet-based intervention. International Journal of Medical Informatics 2011;80(11):754 View
  30. Sato A, Costa-i-Font J. Social networking for medical information: A digital divide or a trust inquiry?. Health Policy and Technology 2013;2(3):139 View
  31. Kontos E, Emmons K, Puleo E, Viswanath K. Determinants and beliefs of health information mavens among a lower-socioeconomic position and minority population. Social Science & Medicine 2011;73(1):22 View
  32. Orviska M, Hudson J. Dividing or uniting Europe? Internet usage in the EU. Information Economics and Policy 2009;21(4):279 View
  33. Taylor G, Dalili M, Semwal M, Civljak M, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2017;2017(9) View
  34. McNeill L, Puleo E, Bennett G, Emmons K. Exploring Social Contextual Correlates of Computer Ownership and Frequency of Use Among Urban, Low-Income, Public Housing Adult Residents. Journal of Medical Internet Research 2007;9(4):e35 View
  35. Jung M. Associations of Self-rated Health and Socioeconomic Status with Information Seeking and Avoiding Behavior among Post-Treatment Cancer Patients. Asian Pacific Journal of Cancer Prevention 2014;15(5):2231 View
  36. Rojas Castro D, Fugon L, Bourgeois-Fisson E, Le Gall J, Barbier F, Spire B. The “Swiss Statement”: Who knows about it? How do they know? What are its effects on people living with HIV/AIDS?. AIDS Care 2012;24(8):1013 View
  37. Cohall A, Nye A, Moon-Howard J, Kukafka R, Dye B, Vaughan R, Northridge M. Computer Use, Internet Access, and Online Health Searching among Harlem Adults. American Journal of Health Promotion 2011;25(5):325 View
  38. 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 View
  39. Neter E, Brainin E. eHealth Literacy: Extending the Digital Divide to the Realm of Health Information. Journal of Medical Internet Research 2012;14(1):e19 View
  40. Hovick S, Yamasaki J, Burton-Chase A, Peterson S. Patterns of Family Health History Communication Among Older African American Adults. Journal of Health Communication 2015;20(1):80 View
  41. Zhao J, Mir N, Ackermann N, Kaphingst K, Politi M. Dissemination of a Web-Based Tool for Supporting Health Insurance Plan Decisions (Show Me Health Plans): Cross-Sectional Observational Study. Journal of Medical Internet Research 2018;20(6):e209 View
  42. Guttman N, Lev E, Segev E, Ayecheh S, Ziv L, Gadamo F, Dayan N, Yavetz G. “I never thought I could get health information from the Internet!”: Unexpected uses of an Internet website designed to enable Ethiopian immigrants with low/no literacy skills to browse health information. New Media & Society 2018;20(7):2272 View
  43. Nagler R, Ramanadhan S, Minsky S, Viswanath K. Recruitment and Retention for Community-Based eHealth Interventions with Populations of Low Socioeconomic Position: Strategies and Challenges. Journal of Communication 2013;63(1):201 View
  44. Bell A. “I Think About Oprah”. Qualitative Health Research 2014;24(4):506 View
  45. Jung M. Identifying Social Characteristics of Health-Related Information Seeker: A Gender-Specific Approach for Cancer Survivors. Asian Pacific Journal of Cancer Prevention 2015;16(5):1865 View
  46. Watson A, Bickmore T, Cange A, Kulshreshtha A, Kvedar J. An Internet-Based Virtual Coach to Promote Physical Activity Adherence in Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(1):e1 View
  47. Bigsby E, Hovick S. Understanding Associations between Information Seeking and Scanning and Health Risk Behaviors: An Early Test of the Structural Influence Model. Health Communication 2018;33(3):315 View
  48. Torrent-Sellens J, Díaz-Chao Á, 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 View
  49. Atkinson N, Desmond S, Saperstein S, Billing A, Gold R, Tournas-Hardt A. Assets, Challenges, and the Potential of Technology for Nutrition Education in Rural Communities. Journal of Nutrition Education and Behavior 2010;42(6):410 View
  50. Jung M, Ramanadhan S, Viswanath K. Effect of information seeking and avoidance behavior on self-rated health status among cancer survivors. Patient Education and Counseling 2013;92(1):100 View
  51. Carroll J, Moorhead A, Bond R, LeBlanc W, Petrella R, 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 View
  52. Eysenbach G. Poverty, Human Development, and the Role of eHealth. Journal of Medical Internet Research 2007;9(4):e34 View
  53. Chung J, Gassert C, Kim H. Online health information use by participants in selected senior centres in Korea: current status of internet access and health information use by Korean older adults. International Journal of Older People Nursing 2011;6(4):261 View
  54. Perez S, Paterniti D, Wilson M, Bell R, Chan M, Villareal C, Nguyen H, Kravitz R. Characterizing the Processes for Navigating Internet Health Information Using Real-Time Observations: A Mixed-Methods Approach. Journal of Medical Internet Research 2015;17(7):e173 View
  55. Hovick S, Bigsby E, Wilson S, Thomas S. Information Seeking Behaviors and Intentions in Response to Environmental Health Risk Messages: A Test of A Reduced Risk Information Seeking Model. Health Communication 2021;36(14):1889 View
  56. Xie L, Itzkovitz A, Roy-Fleming A, Da Costa D, Brazeau A. Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence. Journal of Medical Internet Research 2020;22(8):e18355 View
  57. GOULBOURNE T, YANOVITZKY I. The Communication Infrastructure as a Social Determinant of Health: Implications for Health Policymaking and Practice. The Milbank Quarterly 2021;99(1):24 View
  58. Viswanath K, Nagler R, Bigman-Galimore C, McCauley M, Jung M, Ramanadhan S. The Communications Revolution and Health Inequalities in the 21st Century: Implications for Cancer Control. Cancer Epidemiology, Biomarkers & Prevention 2012;21(10):1701 View
  59. Hu Y, Chen Y, Ye M. Eager to belong: Social cyberloafing as a coping response to workplace ostracism. Current Psychology 2023;42(4):3372 View
  60. Freeman T, Fisher M, Foley K, Boyd M, Ward P, McMichael G, Zimmermann A, Dekker G. Barriers to digital health services among people living in areas of socioeconomic disadvantage: Research from hospital diabetes and antenatal clinics. Health Promotion Journal of Australia 2022;33(3):751 View
  61. Koch C. Patient im Netz – Gesundheitssystem und Digitale Kluft. Public Health Forum 2015;23(3):170 View
  62. Taieb-Maimon M, Vaisman-Fairstein E. Improving older adults’ accessibility to the web using real-time online interactive guides. International Journal of Human-Computer Studies 2022;164:102830 View
  63. Ikhwan R. Women in health: Social practices in online health information management. Masyarakat, Kebudayaan dan Politik 2020;33(4):371 View
  64. Lee J, Allen J, Lim H, Choi G. Dual Mediating Effects of Information and Communication Technology Resources and Family Satisfaction on COVID-19 Knowledge Among Middle School Students. SAGE Open 2022;12(1):215824402210798 View
  65. Huang Q, Lei S, Su S, Chen C. Explicating the health-related digital divide: A mediation mechanism between education level and online cancer information seeking frequency among Chinese adults. Information Development 2023;39(4):866 View
  66. Livingood W, Bautista M, Smotherman C, Azueta D, Coleman J, Grewal R, Stewart E, Orlando L, Scuderi C. Comparative study of different SES neighborhood clinics for health literacy and internet access. DIGITAL HEALTH 2022;8:205520762211237 View
  67. Bigsby E, Hovick S, Tan N, Thomas S, Wilson S. Information Seeking and Risk Reduction Intentions in Response to Environmental Threat Messages: The Role of Message Processing. Risk Analysis 2022;42(10):2160 View
  68. Morris A, Ibrahim Z, Heslin M, Moghraby O, Stringaris A, Grant I, Zalewski L, Pritchard M, Stewart R, Hotopf M, Pickles A, Dobson R, Simonoff E, Downs J. Assessing the feasibility of a web‐based outcome measurement system in child and adolescent mental health services – myHealthE a randomised controlled feasibility pilot study. Child and Adolescent Mental Health 2023;28(1):128 View
  69. Zuber S, Haas M, Framorando D, Ballhausen N, Gillioz E, Künzi M, Kliegel M. The Geneva Space Cruiser: a fully self-administered online tool to assess prospective memory across the adult lifespan. Memory 2022;30(2):117 View
  70. Lim V, Teo T. Cyberloafing: A review and research agenda. Applied Psychology 2024;73(1):441 View
  71. Marciano L, Viswanath K. Social media use and adolescents’ well-being: A note on flourishing. Frontiers in Psychology 2023;14 View
  72. Jankowiak M, Rój J, Wolniak R. The eHealth usage during COVID-19 pandemic 2020 year–Case of Poland. PLOS ONE 2023;18(9):e0290502 View
  73. Yoo W, Hong Y, Oh S. Communication inequalities in the COVID-19 pandemic: socioeconomic differences and preventive behaviors in the United States and South Korea. BMC Public Health 2023;23(1) View
  74. Arakawa Y, Haseda M, Inoue K, Nishioka D, Kino S, Nishi D, Hashimoto H, Kondo N. Effectiveness of mHealth consultation services for preventing postpartum depressive symptoms: a randomized clinical trial. BMC Medicine 2023;21(1) View
  75. Molina-Rogers N, Kam J, Cornejo M, Mendez Murillo R. Using the Structural Influence Model to Explore U.S. Latina/O/X/E Undocumented Immigrants’ COVID-19 Information Acquisition, Perceptions, and Prevention Behaviors. Health Communication 2024:1 View
  76. Boerkamp L, van Deursen A, Laar E, van der Zeeuw A, van der Graaf S. Exploring Barriers to and Outcomes of Internet Appropriation Among Households Living in Poverty: A Systematic Literature Review. SAGE Open 2024;14(1) View
  77. Choy M, O'Brien K, Barnes K, Sturgiss E, Rieger E, Douglas K. Evaluating the Digital Health Experience for Patients in Primary Care: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e50410 View
  78. Ayo-Ajibola O, Davis R, Lin M, Riddell J, Kravitz R. ChatGPT, MD: Characterizing the Adoption and Experiences of Users of AI-Generated Health Information in the United States – A Cross-sectional Survey Study (Preprint). Journal of Medical Internet Research 2023 View
  79. Lewis N, Andrews E, Keefe D, Walter N. A meta-analytical review of the relationship, antecedents, and consequences of information seeking and information scanning. Human Communication Research 2024 View

Books/Policy Documents

  1. Civljak M, Sheikh A, Stead L, Car J, Car J. Cochrane Database of Systematic Reviews. View
  2. Civljak M, Koshy E, Marlais M, Car J, Car J. Cochrane Database of Systematic Reviews. View
  3. Koshy E, Marlais M, Civljak M, Car J. Cochrane Database of Systematic Reviews. View
  4. Civljak M, Stead L, Hartmann-Boyce J, Sheikh A, Car J, Car J. Cochrane Database of Systematic Reviews. View
  5. Viswanath K, Emmons K. Toward the Elimination of Cancer Disparities. View
  6. Kostagiolas P, Parnavela S, Theodorou P. GeNeDis 2022. View