Published on in Vol 5, No 4 (2017): April

Usability of a Novel Mobile Health iPad App by Vulnerable Populations

Usability of a Novel Mobile Health iPad App by Vulnerable Populations

Usability of a Novel Mobile Health iPad App by Vulnerable Populations

Journals

  1. Alvarez-Mon M, Llavero-Valero M, Sánchez-Bayona R, Pereira-Sanchez V, Vallejo-Valdivielso M, Monserrat J, Lahera G, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2019;21(5):e14110 View
  2. Kelleher E, Moreno M, Wilt M. Recruitment of Participants and Delivery of Online Mental Health Resources for Depressed Individuals Using Tumblr: Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(4):e95 View
  3. Brandt H, Turner-McGrievy G, Friedman D, Gentile D, Schrock C, Thomas T, West D. Examining the Role of Twitter in Response and Recovery During and After Historic Flooding in South Carolina. Journal of Public Health Management and Practice 2019;25(5):E6 View
  4. Szlyk H, Deng J, Xu C, Krauss M, Cavazos‐Rehg P. Leveraging social media to explore the barriers to treatment among individuals with depressive symptoms. Depression and Anxiety 2020;37(5):458 View
  5. Khasawneh A, Chalil Madathil K, Dixon E, Wiśniewski P, Zinzow H, Roth R. Examining the Self-Harm and Suicide Contagion Effects of the Blue Whale Challenge on YouTube and Twitter: Qualitative Study. JMIR Mental Health 2020;7(6):e15973 View
  6. Schlichthorst M, King K, Turnure J, Sukunesan S, Phelps A, Pirkis J. Influencing the Conversation About Masculinity and Suicide: Evaluation of the Man Up Multimedia Campaign Using Twitter Data. JMIR Mental Health 2018;5(1):e14 View
  7. Harlow A, Willis S, Smith M, Rothman E. Bystander Prevention for Sexual Violence: #HowIWillChange and Gaps in Twitter Discourse. Journal of Interpersonal Violence 2018:088626051880885 View
  8. Giuntini F, Cazzolato M, dos Reis M, Campbell A, Traina A, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing 2020;11(11):4713 View
  9. Pan J, Liu B, Kreps G. A content analysis of depression-related discourses on Sina Weibo: attribution, efficacy, and information sources. BMC Public Health 2018;18(1) View
  10. Garcia-Rudolph A, Laxe S, Saurí J, Bernabeu Guitart M. Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective. Journal of Medical Internet Research 2019;21(8):e14077 View
  11. Michalak E, Morton E, Barnes S, Hole R, Murray G. Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study. JMIR Mental Health 2019;6(4):e13493 View
  12. Logghe H, Selby L, Boeck M, Stamp N, Chuen J, Jones C. The academic tweet: Twitter as a tool to advance academic surgery. Journal of Surgical Research 2018;226:viii View
  13. McCauley H, Bonomi A, Maas M, Bogen K, O'Malley T. #MaybeHeDoesntHitYou: Social Media Underscore the Realities of Intimate Partner Violence. Journal of Women's Health 2018;27(7):885 View
  14. Fonseka T, Bhat V, Kennedy S. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;53(10):954 View
  15. Reinisch A, Schröder S, Ulrich F, Padberg W, Liese J. Antibiotic-treated acute appendicitis—reception in social media. Langenbeck's Archives of Surgery 2019;404(3):343 View
  16. DeJohn A, Schulz E, Pearson A, Lachmar E, Wittenborn A. Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study. JMIR Mental Health 2018;5(4):e61 View
  17. Makita M, Mas-Bleda A, Morris S, Thelwall M. Mental Health Discourses on Twitter during Mental Health Awareness Week. Issues in Mental Health Nursing 2021;42(5):437 View
  18. Doan S, Yang E, Tilak S, Li P, Zisook D, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3) View
  19. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  20. Delanys S, Benamara F, Moriceau V, Olivier F, Mothe J. Psychiatry on Twitter: A content analysis of the use of psychiatric terms in French. (Preprint). JMIR Formative Research 2020 View
  21. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
  22. Sipocz D, Freeman J, Elton J, Bowers B. “A Toxic Trend?”: Generational Conflict and Connectivity in Twitter Discourse Under the #BoomerRemover Hashtag. The Gerontologist 2021;61(2):166 View
  23. Coll-Florit M, Climent S, Sanfilippo M, Hernández-Encuentra E. Metaphors of Depression. Studying First Person Accounts of Life with Depression Published in Blogs. Metaphor and Symbol 2021;36(1):1 View
  24. Nicholas J, Onie S, Larsen M. Ethics and Privacy in Social Media Research for Mental Health. Current Psychiatry Reports 2020;22(12) View
  25. Németh R, Sik D, Katona E. The asymmetries of the biopsychosocial model of depression in lay discourses - Topic modelling online depression forums. SSM - Population Health 2021;14:100785 View
  26. Khasawneh A, Chalil Madathil K, Zinzow H, Rosopa P, Natarajan G, Achuthan K, Narasimhan M. Factors Contributing to Adolescents’ and Young Adults’ Participation in Web-Based Challenges: Survey Study. JMIR Pediatrics and Parenting 2021;4(1):e24988 View