Literature DB >> 26463050

A Twitter Education: Why Psychiatrists Should Tweet.

Matthew E Peters1, Elisabeth Uible1, Margaret S Chisolm2,3.   

Abstract

Social media tools such as blogs, microblogs, social networking sites, podcasts, and video-sharing sites are now ubiquitous. These tools enable instantaneous interactions with a global community of individuals, including medical professionals, learners, and patients. An understanding of social media tools and how they can be used by psychiatrists is increasingly important. This review defines some relevant social media terms and addresses challenges specific to the use of social media in psychiatry. Focused primarily on Twitter, one of the most commonly used social media tools, the review describes how Twitter is being used in non-psychiatric medical fields and highlights four current and/or potential uses of Twitter in psychiatry: (1) patient care and advocacy, (2) lifelong learning, (3) research data collection and collaboration, and (4) scholarly recognition and impact.

Entities:  

Keywords:  Career development; Professionalism; Psychiatric education; Social media; Twitter

Mesh:

Year:  2015        PMID: 26463050     DOI: 10.1007/s11920-015-0635-4

Source DB:  PubMed          Journal:  Curr Psychiatry Rep        ISSN: 1523-3812            Impact factor:   5.285


  34 in total

1.  Personal reflections on exploring social media in medicine.

Authors:  Brent Thoma
Journal:  Int Rev Psychiatry       Date:  2015-03-09

2.  Assessing physicians' orientation toward lifelong learning.

Authors:  Mohammadreza Hojat; Jon Veloski; Thomas J Nasca; James B Erdmann; Joseph S Gonnella
Journal:  J Gen Intern Med       Date:  2006-09       Impact factor: 5.128

3.  Social media, medicine and the modern journal club.

Authors:  Joel M Topf; Swapnil Hiremath
Journal:  Int Rev Psychiatry       Date:  2015-04

4.  Social media, evidence-based tweeting, and JCEHP.

Authors:  Alexander M Djuricich
Journal:  J Contin Educ Health Prof       Date:  2014       Impact factor: 1.355

Review 5.  Perspectives on social media in and as research: A synthetic review.

Authors:  Natalie T Lafferty; Annalisa Manca
Journal:  Int Rev Psychiatry       Date:  2015-03-05

6.  Physicians, social media, and conflict of interest.

Authors:  Matthew Decamp
Journal:  J Gen Intern Med       Date:  2012-11-06       Impact factor: 5.128

7.  Access to digital technology among families coming to urban pediatric primary care clinics.

Authors:  Tori L Demartini; Andrew F Beck; Melissa D Klein; Robert S Kahn
Journal:  Pediatrics       Date:  2013-06-10       Impact factor: 7.124

8.  Factors that contribute to social media influence within an Internal Medicine Twitter learning community.

Authors:  Tejas Desai; Manish Patwardhan; Hunter Coore
Journal:  F1000Res       Date:  2014-05-29

9.  Using social media for support and feedback by mental health service users: thematic analysis of a twitter conversation.

Authors:  Andrew Shepherd; Caroline Sanders; Michael Doyle; Jenny Shaw
Journal:  BMC Psychiatry       Date:  2015-02-19       Impact factor: 3.630

10.  Real-time sharing and expression of migraine headache suffering on Twitter: a cross-sectional infodemiology study.

Authors:  Thiago D Nascimento; Marcos F DosSantos; Theodora Danciu; Misty DeBoer; Hendrik van Holsbeeck; Sarah R Lucas; Christine Aiello; Leen Khatib; MaryCatherine A Bender; Jon-Kar Zubieta; Alexandre F DaSilva
Journal:  J Med Internet Res       Date:  2014-04-03       Impact factor: 5.428

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  10 in total

1.  How Twitter has connected the colorectal community.

Authors:  H J Logghe; G Pellino; R Brady; A S McCoubrey; S Atallah
Journal:  Tech Coloproctol       Date:  2016-11-15       Impact factor: 3.781

2.  HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT.

Authors:  Lina Zhou; Dongsong Zhang; Chris Yang; Yu Wang
Journal:  Electron Commer Res Appl       Date:  2017-12-29       Impact factor: 6.014

3.  Tweetchats, Disseminating Information, and Sparking Further Scientific Discussion with Social Media.

Authors:  Michael A Chary; Peter R Chai
Journal:  J Med Toxicol       Date:  2020-02-24

4.  Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.

Authors:  Laura de Anta; Miguel Angel Alvarez-Mon; Miguel A Ortega; Cristina Salazar; Carolina Donat-Vargas; Javier Santoma-Vilaclara; Maria Martin-Martinez; Guillermo Lahera; Luis Gutierrez-Rojas; Roberto Rodriguez-Jimenez; Javier Quintero; Melchor Alvarez-Mon
Journal:  J Pers Med       Date:  2022-01-25

5.  A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums.

Authors:  Hamed Jelodar; Yongli Wang; Mahdi Rabbani; Gang Xiao; Ruxin Zhao
Journal:  J Med Syst       Date:  2020-04-07       Impact factor: 4.460

6.  Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study.

Authors:  Miguel Angel Alvarez-Mon; Angel Asunsolo Del Barco; Guillermo Lahera; Javier Quintero; Francisco Ferre; Victor Pereira-Sanchez; Felipe Ortuño; Melchor Alvarez-Mon
Journal:  J Med Internet Res       Date:  2018-05-28       Impact factor: 5.428

7.  Twitter for microblogging in oral health care, research, and academics: Road map and future directions.

Authors:  Aman Chowdhry; Priyanka Kapoor
Journal:  J Oral Maxillofac Pathol       Date:  2022-01-11

8.  Twitter Users' Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis.

Authors:  Natasha Chilman; Nicola Morant; Brynmor Lloyd-Evans; Jane Wackett; Sonia Johnson
Journal:  JMIR Ment Health       Date:  2021-06-29

9.  Defining the Digital Self: A Qualitative Study to Explore the Digital Component of Professional Identity in the Health Professions.

Authors:  Brandon Ruan; Yusuf Yilmaz; Daniel Lu; Mark Lee; Teresa M Chan
Journal:  J Med Internet Res       Date:  2020-09-29       Impact factor: 5.428

10.  Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach.

Authors:  Mai ElSherief; Steven A Sumner; Christopher M Jones; Royal K Law; Akadia Kacha-Ochana; Lyna Shieber; LeShaundra Cordier; Kelly Holton; Munmun De Choudhury
Journal:  J Med Internet Res       Date:  2021-12-22       Impact factor: 5.428

  10 in total

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