Abstract:
BACKGROUND:Respecting patient privacy and confidentiality is critical for doctor-patient relationships and public trust in medical professionals. The frequency of potentially identifiable disclosures online during periods of active engagement is unknown. OBJECTIVE:The objective of this study was to quantify potentially identifiable content shared on social media by physicians and other health care providers using the hashtag #ShareAStoryInOneTweet. METHODS:We accessed and searched Twitter's API using Symplur software for tweets that included the hashtag #ShareAStoryInOneTweet. We identified 1206 tweets by doctors, nurses, and other health professionals out of 43,374 tweets shared in May 2018. Tweet content was evaluated in January 2019 to determine the incidence of instances where names or potentially identifiable information about patients were shared; content analysis of tweets in which information about others had been disclosed was performed. The study also evaluated whether participants raised concerns about privacy breaches and estimated the frequency of deleted tweets. The study used dual, blinded coding for a 10% sample to estimate intercoder reliability using Cohen κ statistic for identifying the potential identifiability of tweet content. RESULTS:Health care professionals (n=656) disclosing information about others included 486 doctors (74.1%) and 98 nurses (14.9%). Health care professionals sharing stories about patient care disclosed the time frame in 95 tweets (95/754, 12.6%) and included patient names in 15 tweets (15/754, 2.0%). It is estimated that friends or families could likely identify the clinical scenario described in 242 of the 754 tweets (32.1%). Among 348 tweets about potentially living patients, it was estimated that 162 (46.6%) were likely identifiable by patients. Intercoder reliability in rating the potential identifiability demonstrated 86.8% agreement, with a Cohen κ of 0.8 suggesting substantial agreement. We also identified 78 out of 754 tweets (6.5%) that had been deleted on the website but were still viewable in the analytics software data set. CONCLUSIONS:During periods of active sharing online, nurses, physicians, and other health professionals may sometimes share more information than patients or families might expect. More study is needed to determine whether similar events arise frequently and to understand how to best ensure that patients' rights are adequately respected.
journal_name
J Med Internet Resjournal_title
Journal of medical Internet researchauthors
Ahmed W,Jagsi R,Gutheil TG,Katz MSdoi
10.2196/19746subject
Has Abstractpub_date
2020-09-01 00:00:00pages
e19746issue
9eissn
1439-4456issn
1438-8871pii
v22i9e19746journal_volume
22pub_type
杂志文章abstract:BACKGROUND:Patient registries are commonly used to track survival and medical outcomes in large cohorts. However, large-scale collection of health-related quality of life (HRQOL) data is more challenging because such data must be collected directly from patients. Internet-based HRQOL questionnaires are a potential solu...
journal_title:Journal of medical Internet research
pub_type: 杂志文章
doi:10.2196/jmir.1214
更新日期:2010-08-19 00:00:00
abstract:BACKGROUND:In randomized controlled trials Internet sites have been shown to be effective in the treatment of depression and anxiety. However, it is unclear if the positive effects demonstrated in these trials transfer to community users of such sites. OBJECTIVE:To compare anxiety and depression outcomes for spontaneo...
journal_title:Journal of medical Internet research
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更新日期:2004-12-22 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,随机对照试验
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更新日期:2017-11-24 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2020-10-20 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2017-07-24 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2018-05-09 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2020-08-31 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,评审
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更新日期:2013-12-13 00:00:00
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pub_type: 杂志文章,随机对照试验
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,评审
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更新日期:2006-05-12 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,多中心研究,随机对照试验
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journal_title:Journal of medical Internet research
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journal_title:Journal of medical Internet research
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更新日期:2005-03-26 00:00:00
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更新日期:2014-05-23 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2015-01-27 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,多中心研究,随机对照试验
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更新日期:2019-06-04 00:00:00
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更新日期:2010-06-16 00:00:00
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更新日期:2019-06-07 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2017-12-06 00:00:00
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