Published on in Vol 5, No 3 (2003):

Trusted Online Sources of Health Information: Differences in Demographics, Health Beliefs, and Health-Information Orientation

Trusted Online Sources of Health Information: Differences in Demographics, Health Beliefs, and Health-Information Orientation

Trusted Online Sources of Health Information: Differences in Demographics, Health Beliefs, and Health-Information Orientation

Authors of this article:

Mohan Dutta-Bergman


  1. Abanmy N, Al-quait N, Alami A, Al-Juhani M, Al-Aqeel S. The utilization of Arabic online drug information among adults in Saudi Arabia. Saudi Pharmaceutical Journal 2012;20(4):317 View
  2. Lin C, Atkin D, Cappotto C, Davis C, Dean J, Eisenbaum J, House K, Lange R, Merceron A, Metzger J, Mitchum A, Nicholls H, Vidican S. Ethnicity, digital divides and uses of the Internet for health information. Computers in Human Behavior 2015;51:216 View
  3. Jung W, Chung M, Rhee E. The Effects of Attractiveness and Source Expertise on Online Health Sites. Health Communication 2018;33(8):962 View
  4. Shiferaw K, Tilahun B, Endehabtu B, Gullslett M, Mengiste S. E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey. BMC Medical Informatics and Decision Making 2020;20(1) View
  5. Ye Y. Correlates of Consumer Trust in Online Health Information: Findings From the Health Information National Trends Survey. Journal of Health Communication 2010;16(1):34 View
  6. Rao P, Chandra S, Theng Y. Adoption and Usage of Healthcare Portals. International Journal of Organizational and Collective Intelligence 2011;2(3):50 View
  7. Park J, Lee J, Jang H, Kim Y. Factors Affecting Comsumer's Usage of Health Information on the Internet. Journal of Preventive Medicine and Public Health 2008;41(4):241 View
  8. Krishnan A, Zhou X. Modeling the effect of health antecedents and social media engagement on healthy eating and quality of life. Journal of Applied Communication Research 2019;47(4):365 View
  9. Horvath K, Harwood E, Courtenay-Quirk C, McFarlane M, Fisher H, Dickenson T, Kachur R, Rosser B, O'Leary A. Online Resources for Persons Recently Diagnosed With HIV/AIDS: An Analysis of HIV-Related Webpages. Journal of Health Communication 2010;15(5):516 View
  10. Dutta-Bergman M. The Readership of Health Magazines. Health Marketing Quarterly 2004;22(2):27 View
  11. Jamal A, Khan S, AlHumud A, Al-Duhyyim A, Alrashed M, Bin Shabr F, Alteraif A, Almuziri A, Househ M, Qureshi R. Association of Online Health Information–Seeking Behavior and Self-Care Activities Among Type 2 Diabetic Patients in Saudi Arabia. Journal of Medical Internet Research 2015;17(8):e196 View
  12. Lwin M, Panchapakesan C, Sheldenkar A, Calvert G, Lim L, Lu J. Determinants of eHealth Literacy among Adults in China. Journal of Health Communication 2020;25(5):385 View
  13. Hirakawa Y, Kuzuya M, Enoki H, Uemura K. Information needs and sources of family caregivers of home elderly patients. Archives of Gerontology and Geriatrics 2011;52(2):202 View
  14. Barnoy S, Volfin‐Pruss D, Ehrenfeld M, Kushnir T. Self‐epistemic authority and nurses' reactions to medical information that is retrieved from Internet sites of different credibility. Nursing & Health Sciences 2011;13(3):366 View
  15. Kim S, Kim J. Development and Preliminary Evaluation of Smartphone Application-Based Nutrition Education Material for Twin Pregnancy. Korean Journal of Women Health Nursing 2018;24(1):1 View
  16. Renahy E, Chauvin P. Internet uses for health information seeking. Revue d'Épidémiologie et de Santé Publique 2006;54(3):263 View
  17. 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
  18. Sbaffi L, Rowley J. Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. Journal of Medical Internet Research 2017;19(6):e218 View
  19. Crouch E, Gordon N. Prevalence and Factors Influencing Use of Internet and Electronic Health Resources by Middle-Aged and Older Adults in a US Health Plan Population: Cross-Sectional Survey Study. JMIR Aging 2019;2(1):e11451 View
  20. Hart A, Dey P. Echinacea for prevention of the common cold: An illustrative overview of how information from different systematic reviews is summarised on the internet. Preventive Medicine 2009;49(2-3):78 View
  21. Chang C, Huang M. Antecedents predicting health information seeking: A systematic review and meta-analysis. International Journal of Information Management 2020;54:102115 View
  22. Jin S, Phua J, Lee K. Telling stories about breastfeeding through Facebook: The impact of user-generated content (UGC) on pro-breastfeeding attitudes. Computers in Human Behavior 2015;46:6 View
  23. Liang Z, Ploderer B. How Does Fitbit Measure Brainwaves. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(1):1 View
  24. Ibrahim E, Boulos M. Access to Online Information by Adult Saudi Cancer Patients. Journal of Consumer Health On the Internet 2006;10(4):33 View
  25. Mou J, Shin D, Cohen J. Tracing College Students’ Acceptance of Online Health Services. International Journal of Human–Computer Interaction 2017;33(5):371 View
  26. Sakib M, Zolfagharian M, Yazdanparast A. Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics, consumer readiness, and health consciousness. Journal of Retailing and Consumer Services 2020;52:101733 View
  27. Xiao N, Sharman R, Rao H, Upadhyaya S. Factors influencing online health information search: An empirical analysis of a national cancer-related survey. Decision Support Systems 2014;57:417 View
  28. Grabner-Kräuter S, Waiguny M. Insights Into the Impact of Online Physician Reviews on Patients’ Decision Making: Randomized Experiment. Journal of Medical Internet Research 2015;17(4):e93 View
  29. Simmons R, Ellis J, Dellavalle R. Dermatology Internet Resources. Dermatologic Clinics 2009;27(2):193 View
  30. Ford B, Kaphingst K. Lay interpersonal sources for health information related to beliefs about the modifiability of cancer risk. Cancer Causes & Control 2009;20(10):1975 View
  31. Gupta R, Adeeb N, Griessenauer C, Moore J, Patel A, Kim C, Thomas A, Ogilvy C. Evaluating the complexity of online patient education materials about brain aneurysms published by major academic institutions. Journal of Neurosurgery 2017;127(2):278 View
  32. Kim Y. Trust in health information websites: A systematic literature review on the antecedents of trust. Health Informatics Journal 2016;22(2):355 View
  33. Cho J, Lee H, Quinlan M. Complementary Relationships Between Traditional Media and Health Apps Among American College Students. Journal of American College Health 2015;63(4):248 View
  34. Keselman A, Logan R, Smith C, Leroy G, Zeng-Treitler Q. Developing Informatics Tools and Strategies for Consumer-centered Health Communication. Journal of the American Medical Informatics Association 2008;15(4):473 View
  35. Park S, Straubhaar J, Strover S. Exploring Ambivalence in Technological Embeddedness: The Role of Technological Competence and Dependence in the Information Gap. Journal of Broadcasting & Electronic Media 2019;63(3):433 View
  36. Hendrick P, Ahmed O, Bankier S, Chan T, Crawford S, Ryder C, Welsh L, Schneiders A. Acute low back pain information online: An evaluation of quality, content accuracy and readability of related websites. Manual Therapy 2012;17(4):318 View
  37. Bidmon S, Terlutter R. Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why. Journal of Medical Internet Research 2015;17(6):e156 View
  38. Huh J, Marmor R, Jiang X. Lessons Learned for Online Health Community Moderator Roles: A Mixed-Methods Study of Moderators Resigning From WebMD Communities. Journal of Medical Internet Research 2016;18(9):e247 View
  39. Lee J, Sundar S. To Tweet or to Retweet? That Is the Question for Health Professionals on Twitter. Health Communication 2013;28(5):509 View
  40. Mou J, Cohen J. Trust and online consumer health service success. Information Development 2017;33(2):169 View
  41. Rodgers S, Stemmle J. Are “Well-Told” Stories of Cancer Worn Out? Insights on Persuasion Characteristics Used in Cancer Narrative PSAs. Journal of Current Issues & Research in Advertising 2020;41(3):257 View
  42. Kaphingst K, Ivanovich J, Lyons S, Biesecker B, Dresser R, Elrick A, Matsen C, Goodman M. Preferences for learning different types of genome sequencing results among young breast cancer patients: Role of psychological and clinical factors. Translational Behavioral Medicine 2018;8(1):71 View
  43. Ageeva E, Melewar T, Foroudi P, Dennis C. Cues adopted by consumers in examining corporate website favorability: An empirical study of financial institutions in the UK and Russia. Journal of Business Research 2019;98:15 View
  44. Sullivan H, O’Donoghue A, Rupert D, Willoughby J, Amoozegar J, Aikin K. Are Disease Awareness Links on Prescription Drug Websites Misleading? A Randomized Study. Journal of Health Communication 2016;21(11):1198 View
  45. Rowlands I, Loxton D, Dobson A, Mishra G. Seeking Health Information Online: Association With Young Australian Women’s Physical, Mental, and Reproductive Health. Journal of Medical Internet Research 2015;17(5):e120 View
  46. Flood-Grady E, Paige S, Karimipour N, Harris P, Cottler L, Krieger J. A content analysis of Clinical and Translational Science Award (CTSA) strategies for communicating about clinical research participation online. Journal of Clinical and Translational Science 2017;1(6):340 View
  47. Giudice K. Crowdsourcing credibility: The impact of audience feedback on Web page credibility. Proceedings of the American Society for Information Science and Technology 2010;47(1):1 View
  48. Montague E. Patient source of learning about health technologies and ratings of trust in technologies used in their care. Ergonomics 2010;53(11):1302 View
  49. Phua J. The effects of similarity, parasocial identification, and source credibility in obesity public service announcements on diet and exercise self-efficacy. Journal of Health Psychology 2016;21(5):699 View
  50. Rains S, Karmikel C. Health information-seeking and perceptions of website credibility: Examining Web-use orientation, message characteristics, and structural features of websites. Computers in Human Behavior 2009;25(2):544 View
  51. Lee T, Taylor L. The Motives for and Consequences of Viewing Television Medical Dramas. Health Communication 2014;29(1):13 View
  52. Vega L, DeHart T, Montague E. Trust between patients and health websites: a review of the literature and derived outcomes from empirical studies. Health and Technology 2011;1(2-4):71 View
  53. Lee K, Hoti K, Hughes J, Emmerton L. Consumer Use of “Dr Google”: A Survey on Health Information-Seeking Behaviors and Navigational Needs. Journal of Medical Internet Research 2015;17(12):e288 View
  54. Guo S, Goodman M, Kaphingst K. Comparing preferences for return of genome sequencing results assessed with rating and ranking items. Journal of Genetic Counseling 2020;29(1):131 View
  55. 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 View
  56. Dutta-Bergman M. The Impact of Completeness and Web Use Motivation on the Credibility of e-Health Information. Journal of Communication 2004;54(2):253 View
  57. Diviani N, van den Putte B, Giani S, van Weert J. Low Health Literacy and Evaluation of Online Health Information: A Systematic Review of the Literature. Journal of Medical Internet Research 2015;17(5):e112 View
  58. Lupiáñez-Villanueva F, Folkvord F, Vanden Abeele M. Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study. JMIR mHealth and uHealth 2020;8(6):e17272 View
  59. Battineni G, Baldoni S, Chintalapudi N, Sagaro G, Pallotta G, Nittari G, Amenta F. Factors affecting the quality and reliability of online health information. DIGITAL HEALTH 2020;6:205520762094899 View
  60. Lin W, Zhang X, Cao B. How Do New Media Influence Youths’ Health Literacy? Exploring the Effects of Media Channel and Content on Safer Sex Literacy. International Journal of Sexual Health 2018;30(4):354 View
  61. Stewart K, Kammer-Kerwick M, Koh H, Cunningham I. Examining digital advertising using an affect transfer hypothesis. Journal of Research in Interactive Marketing 2018;12(2):231 View
  62. Huang Y, Sundar S. Do We Trust the Crowd? Effects of Crowdsourcing on Perceived Credibility of Online Health Information. Health Communication 2022;37(1):93 View
  63. Gallant , Irizarry , Kreps . User-Centric Hospital Web Sites: A Case for Trust and Personalization. e-Service Journal 2007;5(2):5 View
  64. Hu Y, Haake J. Search Your Way to an Accurate Diagnosis: Predictors of Internet-Based Diagnosis Accuracy. Atlantic Journal of Communication 2010;18(2):79 View
  65. Dutta-Bergman M. Health Attitudes, Health Cognitions, and Health Behaviors among Internet Health Information Seekers: Population-Based Survey. Journal of Medical Internet Research 2004;6(2):e15 View
  66. Huh J, DeLorme D, Reid L, Kim J. How Korean and White Americans Evaluate and Use Online Advertising and Non-advertising Sources for Prescription Drug Information. Therapeutic Innovation & Regulatory Science 2013;47(1):116 View
  67. Mou J, Shin D, Cohen J. Health beliefs and the valence framework in health information seeking behaviors. Information Technology & People 2016;29(4):876 View
  68. Zulman D, Kirch M, Zheng K, An L. Trust in the Internet as a Health Resource Among Older Adults: Analysis of Data from a Nationally Representative Survey. Journal of Medical Internet Research 2011;13(1):e19 View
  69. Schiavo R. Digital MarketingThe rise of e-health: Current trends and topics on online health communications. Journal of Medical Marketing 2008;8(1):9 View
  70. Osman A, Kowitt S, Sheeran P, Jarman K, Ranney L, Goldstein A. Information to Improve Public Perceptions of the Food and Drug Administration (FDA’s) Tobacco Regulatory Role. International Journal of Environmental Research and Public Health 2018;15(4):753 View
  71. Ruppel E. Scanning Health Information Sources: Applying and Extending the Comprehensive Model of Information Seeking. Journal of Health Communication 2016;21(2):208 View
  72. Ageeva E, Melewar T, Foroudi P, Dennis C. Evaluating the factors of corporate website favorability: a case of UK and Russia. Qualitative Market Research: An International Journal 2019;22(5):687 View
  73. Hong S, Biesecker B, Ivanovich J, Goodman M, Kaphingst K. Factors affecting breast cancer patients' need for genetic risk information: From information insufficiency to information need. Journal of Genetic Counseling 2019;28(3):543 View
  74. Hyphantis T. In The Labyrinth of e-Health: Exploring Attitudes towards e-Health in Greece. Journal of Psychology & Clinical Psychiatry 2017;8(1) View
  75. Ginossar T. Disparities and antecedents to cancer prevention information seeking among cancer patients and caregivers attending a Minority-Serving Cancer Center. Journal of Communication in Healthcare 2014;7(2):93 View
  76. Díaz-Martín A, Schmitz A, Yagüe Guillén M. Are Health e-Mavens the New Patient Influencers?. Frontiers in Psychology 2020;11 View
  77. Rains S. Perceptions of Traditional Information Sources and Use of the World Wide Web to Seek Health Information: Findings From the Health Information National Trends Survey. Journal of Health Communication 2007;12(7):667 View
  78. Szumilas M, Kutcher S. Teen Suicide Information on the Internet: A Systematic Analysis of Quality. The Canadian Journal of Psychiatry 2009;54(9):596 View
  79. Takahashi Y, Ohura T, Ishizaki T, Okamoto S, Miki K, Naito M, Akamatsu R, Sugimori H, Yoshiike N, Miyaki K, Shimbo T, Nakayama T. Internet Use for Health-Related Information via Personal Computers and Cell Phones in Japan: A Cross-Sectional Population-Based Survey. Journal of Medical Internet Research 2011;13(4):e110 View
  80. Prybutok G, Ta A, Liu X, Prybutok V. An Integrated Structural Equation Model of eHealth Behavioral Intention. International Journal of Healthcare Information Systems and Informatics 2020;15(1):20 View
  81. Kitikannakorn N, Sitthiworanan C. Searching for health information on the Internet by undergraduate students in Phitsanulok, Thailand. International Journal of Adolescent Medicine and Health 2009;21(3) View
  82. Rice R. Influences, usage, and outcomes of Internet health information searching: Multivariate results from the Pew surveys. International Journal of Medical Informatics 2006;75(1):8 View
  83. Azadeh S, Fatemeh B, Sadollah R. Attitude and Performance of Health Staff Regarding Health Information Resources Kerman University of Medical Sciences. Journal of Education and Community Health 2014;1(1):27 View
  84. Zuccala A. The lay person and Open Access. Annual Review of Information Science and Technology 2009;43(1):1 View
  85. Garden R, Seiler W. Serious Illness Conversations With Doctors: Patients Using Information Obtained From Sources Other Than Their Doctors. Health Communication 2017;32(1):22 View
  86. López-Gómez M, Ortega C, Suárez I, Serralta G, Madero R, Gómez-Raposo C, Sereno M, Casado E, Espinosa E, Lobo F, Feliu J. Internet use by cancer patients: should oncologists ‘prescribe’ accurate web sites in combination with chemotherapy? A survey in a Spanish cohort. Annals of Oncology 2012;23(6):1579 View
  87. Meng J, McLaughlin M, Pariera K, Murphy S. A Comparison Between Caucasians and African Americans in Willingness to Participate in Cancer Clinical Trials: The Roles of Knowledge, Distrust, Information Sources, and Religiosity. Journal of Health Communication 2016;21(6):669 View
  88. McGloin R, Richards K, Embacher K. Examining the Potential Gender Gap in Online Health Information-Seeking Behaviors Among Digital Natives. Communication Research Reports 2016;33(4):370 View
  89. Prabhu A, Donovan A, Crihalmeanu T, Hansberry D, Agarwal N, Beriwal S, Kale H, Heller M. Radiology Online Patient Education Materials Provided by Major University Hospitals: Do They Conform to NIH and AMA Guidelines?. Current Problems in Diagnostic Radiology 2018;47(2):75 View
  90. Bates B, Romina S, Ahmed R, Hopson D. The effect of source credibility on consumers' perceptions of the quality of health information on the Internet. Medical Informatics and the Internet in Medicine 2006;31(1):45 View
  91. Christianson J, Volmar K, Alexander J, Scanlon D. A Report Card on Provider Report Cards: Current Status of the Health Care Transparency Movement. Journal of General Internal Medicine 2010;25(11):1235 View
  92. Dutta-Bergman M. A Formative Approach to Strategic Message Targeting Through Soap Operas: Using Selective Processing Theories. Health Communication 2006;19(1):11 View
  93. Lau A, Coiera E. Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment. Journal of Medical Internet Research 2008;10(1):e2 View
  94. Bhandari N, Scanlon D, Shi Y, Smith R. Why Do So Few Consumers Use Health Care Quality Report Cards? A Framework for Understanding the Limited Consumer Impact of Comparative Quality Information. Medical Care Research and Review 2019;76(5):515 View
  95. Brown A, Sutherland R, Janssen L, Hudson N, Chooi A, Reynolds R, Walton A, Lecathelinais C, Reilly K, Nathan N, Wolfenden L. Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes. Public Health Nutrition 2021;24(10):2867 View
  96. Chang Y, Zhang Y, Gwizdka J. The effects of information source and eHealth literacy on consumer health information credibility evaluation behavior. Computers in Human Behavior 2021;115:106629 View
  97. Yoo S, Li H, Xu Z. CAN I TALK TO AN ONLINE DOCTOR? UNDERSTANDING THE MEDIATING EFFECT OF TRUST ON PATIENTS’ ONLINE HEALTH CONSULTATION. Journal of Organizational Computing and Electronic Commerce 2021;31(1):59 View
  98. You (Ryu) K, Cho J. Investigation of the Influential Factors in Leading People to Seek Mobile Information for the Promotion of Health-Related Behaviors. Sustainability 2020;12(24):10512 View
  99. Srivastava M, Raina M. Consumers’ usage and adoption of e-pharmacy in India. International Journal of Pharmaceutical and Healthcare Marketing 2021;15(2):235 View
  100. Patel P, Gopali R, Reddy A, Patel K. The Readability of Ophthalmological Patient Education Materials Provided by Major Academic Hospitals. Seminars in Ophthalmology 2022;37(1):71 View
  101. Agrawal S, Irwin C, Dhillon-Smith R. An evaluation of the quality of online information on emergency contraception. The European Journal of Contraception & Reproductive Health Care 2021;26(4):343 View
  102. Nost E, Gehrke G, Poudrier G, Lemelin A, Beck M, Wylie S, Freeman J. Visualizing changes to US federal environmental agency websites, 2016–2020. PLOS ONE 2021;16(2):e0246450 View
  103. Afful-Dadzie E, Afful-Dadzie A. Online health consumer behaviour: What informs user decisions on information quality?. Computers in Human Behavior Reports 2021;3:100064 View
  104. Kirkpatrick C, Lee S. The Impact of Source and Message Relevance on Audience Responses to Health Podcasts. Communication Reports 2021;34(2):78 View
  105. Liu L, Shi L. Does the ownership of health website matter? A cross-sectional study on Chinese consumer behavior. International Journal of Medical Informatics 2021;152:104485 View
  106. Zheng X, Wu S, Nie D. Online Health Misinformation and Corrective Messages in China: A Comparison of Message Features. Communication Studies 2021;72(3):474 View
  107. Kaphingst K, Kohlmann W, Chambers R, Goodman M, Bradshaw R, Chan P, Chavez-Yenter D, Colonna S, Espinel W, Everett J, Gammon A, Goldberg E, Gonzalez J, Hagerty K, Hess R, Kehoe K, Kessler C, Kimball K, Loomis S, Martinez T, Monahan R, Schiffman J, Temares D, Tobik K, Wetter D, Mann D, Kawamoto K, Del Fiol G, Buys S, Ginsburg O. Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial. BMC Health Services Research 2021;21(1) View
  108. Colón-Morales C, Giang W, Alvarado M. Informed Decision-making for Health Insurance Enrollment: Survey Study. JMIR Formative Research 2021;5(8):e27477 View
  109. Li J, Kong T, Killow V, Wang L, Kobes K, Tekian A, Ingledew P. Quality Assessment of Online Resources for the Most Common Cancers. Journal of Cancer Education 2023;38(1):34 View
  110. Liu L, Shi L. Chinese Patients’ Intention to Use Different Types of Internet Hospitals: Cross-sectional Study on Virtual Visits. Journal of Medical Internet Research 2021;23(8):e25978 View
  111. Li S, Kallas Z, Rahmani D, Gil J. Trends in Food Preferences and Sustainable Behavior during the COVID-19 Lockdown: Evidence from Spanish Consumers. Foods 2021;10(8):1898 View
  112. Aslan A, Musmar B, Mamilly A, Saad Aldine A, De Alba L, Arevalo O, Ahuja C, Cuellar H. The Complexity of Online Patient Education Materials About Interventional Neuroradiology Procedures Published by Major Academic Institutions. Cureus 2023 View
  113. Buturoiu R, Corbu N, Oprea D, Boțan M. Trust in information sources during the COVID-19 pandemic. A Romanian case study. Communications 2022;47(3):375 View
  114. Ramjee D, Pollack C, Charpignon M, Gupta S, Rivera J, El Hayek G, Dunn A, Desai A, Majumder M. Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter. Journal of Medical Internet Research 2023;25:e40706 View
  115. Zhong L, Bather J, Daly B, Kohlmann W, Goodman M, Rothwell E, Kaphingst K. Investigation of interest in and timing preference for cancer predisposition testing and expanded carrier screening among women of reproductive age. PEC Innovation 2023;2:100128 View
  116. Nabi M, Zohora F, Misbauddin S. Social media links with social capital to trust in healthcare facilities: empirical evidence from Bangladesh. Library Hi Tech 2023;41(1):210 View
  117. Kaphingst K, Bather J, Daly B, Chavez-Yenter D, Vega A, Kohlmann W. Interest in Cancer Predisposition Testing and Carrier Screening Offered as Part of Routine Healthcare Among an Ethnically Diverse Sample of Young Women. Frontiers in Genetics 2022;13 View
  118. Marlow R, Turner A, Coates J. The use of social media within an adult autism and ADHD service. Clinical Psychology Forum 2017;1(295):13 View
  119. Lim H, Wong S, Yip K, Chang F, Chin A, Teo C, Abdullah A, Ng C. Online health information-seeking behaviour of patients attending a primary care clinic in Malaysia: a cross-sectional study. Family Practice 2022;39(1):38 View
  120. van Klaveren C, de Jong P, Hendriks R, Luk F, de Vries A, van der Boog P, Rabelink A, Reinders M. Didactical characteristics of Dutch websites about kidney transplantation targeted for kidney patients and living donors: An exploratory study. PEC Innovation 2022;1:100026 View
  121. Mącznik A, Mehta P, Kaur M. Can We Go Online for Sports Injury Prevention? A Systematic Review of English-Language Websites with Exercise-Based Sports Injury Risk Reduction Programmes. Sports Medicine - Open 2021;7(1) View
  122. Latifeh Y, Jaredh M, Nasri L, Shriedy D, Al-Mahdi A, Murtada M. Knowledge, stigma, and beliefs toward mental illnesses among schoolteachers in Damascus. International Journal of Social Psychiatry 2022;68(5):1054 View
  123. Davuluri S, Yannuzzi N, Kloosterboer A, Kuriyan A, Sridhar J. Assessing the Accuracy, Quality, and Readability of Patient Accessible Online Resources Regarding Ocular Gene Therapy and Voretigene Neparvovec. Clinical Ophthalmology 2021;Volume 15:3849 View
  124. Liu W, Huang Y. Does Relationship Matter during a Health Crisis: Examining the Role of Local Government- Public Relationship in the Public Acceptance of COVID-19 Vaccines. Health Communication 2023;38(6):1146 View
  125. Wilcox S, Huskey R, DeAndrea D. Attitude-Consistent Health Messages About Electronic Cigarettes Increase Processing Time. Journal of Media Psychology 2022;34(4):216 View
  126. Ngai C, Singh R, Lu W, Yao L, Koon A. Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak. Health Communication 2023;38(10):2141 View
  127. Vogels-Broeke M, Daemers D, Budé L, de Vries R, Nieuwenhuijze M. Sources of information used by women during pregnancy and the perceived quality. BMC Pregnancy and Childbirth 2022;22(1) View
  128. Lobo E, Johnson T, Frølich A, Kensing F, Rasmussen L, Hosking S, Page A, Livingston P, Islam S, Grundy J, Abdelrazek M, Renjith V. Utilization of social media communities for caregiver information support in stroke recovery: An analysis of content and interactions. PLOS ONE 2022;17(1):e0262919 View
  129. Syn S. Gaze movement analysis examined how people view and interact with health information on Facebook pages. Health Information & Libraries Journal 2023 View
  130. Aldahlawi S, Homeida L. YouTube as a Source of Patient Information on Oral Manifestations of COVID-19: A Cross-Sectional Evaluation of Its Utility, Dependability, and Content. Cureus 2023 View
  131. Stormacq C, Oulevey Bachmann A, Van den Broucke S, Bodenmann P, Al-Yateem N. How socioeconomically disadvantaged people access, understand, appraise, and apply health information: A qualitative study exploring health literacy skills. PLOS ONE 2023;18(8):e0288381 View
  132. Gu J, Baird G, Escamilla Guevara A, Sohn Y, Lydston M, Doyle C, Tevis S, Miles R. A systematic review and meta-analysis of English language online patient education materials in breast cancer: Is readability the only story?. The Breast 2024;75:103722 View
  133. Zhao B, Kong F, Nam E. Exploring COVID-19 Phobia among International Chinese College Students in South Korea Before Ending COVID-19 Restrictions. BMC Psychology 2024;12(1) View
  134. Mo Z, Guo Y, Pan D. Why are social media users susceptible to health misinformation? A perspective from complexity theory. Aslib Journal of Information Management 2024 View
  135. Odumegwu J, Chavez-Yenter D, Goodman M, Kaphingst K. Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age. Cancer Causes & Control 2024 View
  136. Au S, Soong A, Kyaw B, Tudor Car L. Protocol for a scoping review on information needs and information-seeking behaviour of people with dementia and their non-professional caregivers. BMJ Open 2019;9(12):e028324 View

Books/Policy Documents

  1. Pousti H, Urquhart C, Linger H. Information Systems and Global Assemblages. (Re)Configuring Actors, Artefacts, Organizations. View
  2. Dutta M, Bodie G. Web Search. View
  3. Pal S, Torres D, Sulli M. Pharmacy and the U.S. Health Care System, Third Edition. View
  4. Woolley M. Clinical and Translational Science. View
  5. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  6. Col N, Correa-de-Araujo R. Clinical Decision Support. View
  7. Colditz J, Woods M, Primack B. Technology and Adolescent Mental Health. View
  8. Choudhury A, Kaushik S, Dutt V. Disease Control Through Social Network Surveillance. View
  9. Campbell J, Bogueva D. Nutrition Science, Marketing Nutrition, Health Claims, and Public Policy. View