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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641)

Published on in Vol 13, No 3 (2011): Jul-Sep

Can Online Consumers Contribute to Drug Knowledge? A Mixed-Methods Comparison of Consumer-Generated and Professionally Controlled Psychotropic Medication Information on the Internet

Can Online Consumers Contribute to Drug Knowledge? A Mixed-Methods Comparison of Consumer-Generated and Professionally Controlled Psychotropic Medication Information on the Internet

Can Online Consumers Contribute to Drug Knowledge? A Mixed-Methods Comparison of Consumer-Generated and Professionally Controlled Psychotropic Medication Information on the Internet

Authors of this article:

Shannon Hughes1 ;   David Cohen2
Article Authors Cited by (45) Tweetations (7) Metrics

Journals

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  4. Bernhard G, Ose D, Baudendistel I, Seidling H, Stützle M, Szecsenyi J, Wensing M, Mahler C. Understanding Challenges, Strategies, and the Role of Support Networks in Medication Self-management Among Patients With Type 2 Diabetes. The Diabetes Educator 2017;43(2):190 View
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  6. Bronstein J. An examination of social and informational support behavior codes on the Internet: The case of online health communities. Library & Information Science Research 2017;39(1):63 View
  7. Hughes S, Matheson A. Subjectively Experienced Benefits and Harms of Antipsychotics According to Users’ Firsthand Accounts on the Internet. Ethical Human Psychology and Psychiatry 2016;18(3):196 View
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  12. Cohen D, Hughes S. How Do People Taking Psychiatric Drugs Explain Their “Chemical Imbalance?”. Ethical Human Psychology and Psychiatry 2012;13(3):176 View
  13. Siskind S, Aydin R, Matta P, Cyron C. Higher patient satisfaction with antidepressants correlates with earlier drug release dates across online user‐generated medical databases. Pharmacology Research & Perspectives 2017;5(5) View
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  17. Hughes S, Cohen D, Johnson R. Adverse event assessment methods in published trials of psychotropic drugs: Poor reporting and neglect of emerging safety concerns. International Journal of Risk & Safety in Medicine 2016;28(2):101 View
  18. Lardon J, Abdellaoui R, Bellet F, Asfari H, Souvignet J, Texier N, Jaulent M, Beyens M, Burgun A, Bousquet C. Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review. Journal of Medical Internet Research 2015;17(7):e171 View
  19. Conell J, Bauer R, Glenn T, Alda M, Ardau R, Baune B, Berk M, Bersudsky Y, Bilderbeck A, Bocchetta A, Bossini L, Paredes Castro A, Cheung E, Chillotti C, Choppin S, Del Zompo M, Dias R, Dodd S, Duffy A, Etain B, Fagiolini A, Garnham J, Geddes J, Gildebro J, Gonzalez-Pinto A, Goodwin G, Grof P, Harima H, Hassel S, Henry C, Hidalgo-Mazzei D, Kapur V, Kunigiri G, Lafer B, Lam C, Larsen E, Lewitzka U, Licht R, Lund A, Misiak B, Piotrowski P, Monteith S, Munoz R, Nakanotani T, Nielsen R, O’Donovan C, Okamura Y, Osher Y, Reif A, Ritter P, Rybakowski J, Sagduyu K, Sawchuk B, Schwartz E, Scippa Â, Slaney C, Sulaiman A, Suominen K, Suwalska A, Tam P, Tatebayashi Y, Tondo L, Vieta E, Vinberg M, Viswanath B, Volkert J, Zetin M, Zorrilla I, Whybrow P, Bauer M. Online information seeking by patients with bipolar disorder: results from an international multisite survey. International Journal of Bipolar Disorders 2016;4(1) View
  20. Salmasian H, Tran T, Chase H, Friedman C. Medication-indication knowledge bases: a systematic review and critical appraisal. Journal of the American Medical Informatics Association 2015;22(6):1261 View
  21. Hauw D. Antidoping Education Using a Lifelong Situated Activity-Based Approach: Evidence, Conception, and Challenges. Quest 2017;69(2):256 View
  22. Bernhard G, Mahler C, Seidling H, Stützle M, Ose D, Baudendistel I, Wensing M, Szecsenyi J. Developing a Shared Patient-Centered, Web-Based Medication Platform for Type 2 Diabetes Patients and Their Health Care Providers: Qualitative Study on User Requirements. Journal of Medical Internet Research 2018;20(3):e105 View
  23. Abou Taam M, Rossard C, Cantaloube L, Bouscaren N, Roche G, Pochard L, Montastruc F, Herxheimer A, Montastruc J, Bagheri H. Analysis of patients' narratives posted on social media websites on benfluorex's (Mediator® ) withdrawal in France. Journal of Clinical Pharmacy and Therapeutics 2014;39(1):53 View
  24. Bagheri H, Lacroix I, Guitton E, Damase-Michel C, Montastruc J. Cyberpharmacovigilance : les réseaux sociaux sont-ils utiles en pharmacovigilance ?. Therapies 2016;71(2):229 View
  25. del Fresno García M, Peláez A. Social work and netnography: The case of Spain and generic drugs. Qualitative Social Work 2014;13(1):85 View
  26. Pages A, Bondon-Guitton E, Montastruc J, Bagheri H. Undesirable Effects Related to Oral Antineoplastic Drugs: Comparison Between Patients’ Internet Narratives and a National Pharmacovigilance Database. Drug Safety 2014;37(8):629 View
  27. Patel S, Cain R, Neailey K, Hooberman L. General Practitioners’ Concerns About Online Patient Feedback: Findings From a Descriptive Exploratory Qualitative Study in England. Journal of Medical Internet Research 2015;17(12):e276 View
  28. Moncrieff J. Research on a ‘drug-centred’ approach to psychiatric drug treatment: assessing the impact of mental and behavioural alterations produced by psychiatric drugs. Epidemiology and Psychiatric Sciences 2018;27(2):133 View
  29. Adusumalli S, Lee H, Hoi Q, Koo S, Tan I, Ng P. Assessment of Web-Based Consumer Reviews as a Resource for Drug Performance. Journal of Medical Internet Research 2015;17(8):e211 View
  30. Kennedy C, Powell J, Payne T, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80 View
  31. McCoy A, Wright A, Laxmisan A, Ottosen M, McCoy J, Butten D, Sittig D. Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications. Journal of the American Medical Informatics Association 2012;19(5):713 View
  32. Monteith S, Glenn T. Automated Decision-Making and Big Data: Concerns for People With Mental Illness. Current Psychiatry Reports 2016;18(12) View
  33. Bagheri H, Lacroix I, Guitton E, Damase-Michel C, Montastruc J. Cyberpharmacovigilance: What is the usefulness of the social networks in pharmacovigilance?. Therapies 2016;71(2):235 View
  34. Chew S, Khoo C. Comparison of drug information on consumer drug review sites versus authoritative health information websites. Journal of the Association for Information Science and Technology 2016;67(2):333 View
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  36. Golder S, Smith K, O’Connor K, Gross R, Hennessy S, Gonzalez-Hernandez G. A Comparative View of Reported Adverse Effects of Statins in Social Media, Regulatory Data, Drug Information Databases and Systematic Reviews. Drug Safety 2021;44(2):167 View
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Books/Policy Documents

  1. Richardson G. Global Perspectives on Health Communication in the Age of Social Media. View
  2. Upadhyay C, Tiwari V, Tiwari V, Pandiya B. Soft Computing for Problem Solving. View
  3. Ivanov A, Mileva E. Cooperative Design, Visualization, and Engineering. View
  4. Richardson G. Research Anthology on Mental Health Stigma, Education, and Treatment. View