Literature DB >> 19745316

An analysis of personal medical information disclosed in YouTube videos created by patients with multiple sclerosis.

Luis Fernandez-Luque1, Najeed Elahi, Francisco J Grajales.   

Abstract

The Internet has become one of the main sources of health information. Today, content generation is no longer limited to the healthcare professionals of the late nineties; Web 2.0 services and platforms have empowered patients to create and interact with various forms of Patient-Generated Content (PGC); these include: videos, blogs, and social networking pages, among others. This investigation evaluated the characteristics of PGC found within YouTube video comments. We selected a random sample of 25 out of 769 Multiple Sclerosis patient-generated videos and analyzed their corresponding 557 comments for health information. 320 comments met the inclusion criteria and 70 contained personal health information (PHI). Comments with PHI were sub-characterized for the type of medical information (i.e., diagnosis, date of diagnosis, medication, among others). In this descriptive study, we present the strata within this content and postulate some of the corresponding patient risks and ethical challenges associated with PGC found in YouTube video comments.

Entities:  

Mesh:

Year:  2009        PMID: 19745316

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  19 in total

1.  Health Vlogger-Viewer Interaction in Chronic Illness Management.

Authors:  Leslie S Liu; Jina Huh; Tina Neogi; Kori Inkpen; Wanda Pratt
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2013

2.  Internet portal use in an academic multiple sclerosis center.

Authors:  A Scott Nielsen; John D Halamka; R Philip Kinkel
Journal:  J Am Med Inform Assoc       Date:  2011-05-12       Impact factor: 4.497

3.  Lingual orthodontic treatment: A YouTube™ video analysis.

Authors:  Yağmur Lena; Furkan Dindaroğlu
Journal:  Angle Orthod       Date:  2017-12-19       Impact factor: 2.079

4.  Informational value and bias of videos related to orthodontics screened on a video-sharing Web site.

Authors:  Michael Knösel; Klaus Jung
Journal:  Angle Orthod       Date:  2011-01-24       Impact factor: 2.079

Review 5.  Review of extracting information from the Social Web for health personalization.

Authors:  Luis Fernandez-Luque; Randi Karlsen; Jason Bonander
Journal:  J Med Internet Res       Date:  2011-01-28       Impact factor: 5.428

6.  HealthTrust: a social network approach for retrieving online health videos.

Authors:  Luis Fernandez-Luque; Randi Karlsen; Genevieve B Melton
Journal:  J Med Internet Res       Date:  2012-01-31       Impact factor: 5.428

7.  Use and acceptance of electronic communication by patients with multiple sclerosis: a multicenter questionnaire study.

Authors:  Rocco Haase; Thorsten Schultheiss; Raimar Kempcke; Katja Thomas; Tjalf Ziemssen
Journal:  J Med Internet Res       Date:  2012-10-15       Impact factor: 5.428

Review 8.  A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication.

Authors:  S Anne Moorhead; Diane E Hazlett; Laura Harrison; Jennifer K Carroll; Anthea Irwin; Ciska Hoving
Journal:  J Med Internet Res       Date:  2013-04-23       Impact factor: 5.428

9.  Misleading health-related information promoted through video-based social media: anorexia on YouTube.

Authors:  Shabbir Syed-Abdul; Luis Fernandez-Luque; Wen-Shan Jian; Yu-Chuan Li; Steven Crain; Min-Huei Hsu; Yao-Chin Wang; Dorjsuren Khandregzen; Enkhzaya Chuluunbaatar; Phung Anh Nguyen; Der-Ming Liou
Journal:  J Med Internet Res       Date:  2013-02-13       Impact factor: 5.428

10.  Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education.

Authors:  Eva Henriksen; Tatjana M Burkow; Elin Johnsen; Lars K Vognild
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-09       Impact factor: 2.796

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