Literature DB >> 33464210

Twitter as a Mental Health Support System for Students and Professionals in the Medical Field.

Lisa Liu1, Benjamin K P Woo2.   

Abstract

Twitter is a rapidly growing social media site that has greatly integrated itself in the lives of students and professionals in the medical field. While Twitter has been found to be very helpful in facilitating education, there is also great potential for its usage as a social support system. Social support has become more essential as society grapples with declining mental health, particularly in the medical sector. In our previous paper, we saw that Twitter provides a promising tool to learn more about the online conversation about dementia and, in particular, the supportive network that can be created. Inspired by this, we decided to investigate the potential of using Twitter as a support system for students and professionals in the medical field. In this paper, we explore the current state of mental health in the medical field and suggest practical implementation methods for using Twitter. ©Lisa Liu, Benjamin K P Woo. Originally published in JMIR Medical Education (http://mededu.jmir.org), 19.01.2021.

Entities:  

Keywords:  Twitter; community; depression; health professionals; mental health; physician suicide; social media; social support

Year:  2021        PMID: 33464210      PMCID: PMC7854042          DOI: 10.2196/17598

Source DB:  PubMed          Journal:  JMIR Med Educ        ISSN: 2369-3762


  24 in total

1.  Twittering on about mental health: is it worth the effort?

Authors:  Mahesh Jayaram; Lindsay Moran; Clive Adams
Journal:  Evid Based Ment Health       Date:  2017-01-18

Review 2.  Philosophy in medical education: a means of protecting mental health.

Authors:  Eric J Keller
Journal:  Acad Psychiatry       Date:  2014-01-30

Review 3.  Twitter for travel medicine providers.

Authors:  Deborah J Mills; Sarah E Kohl
Journal:  J Travel Med       Date:  2016-03-16       Impact factor: 8.490

Review 4.  Social media guidelines: a review for health professionals and faculty members.

Authors:  Catherine M Hennessy; Claire F Smith; Sue Greener; Gordon Ferns
Journal:  Clin Teach       Date:  2019-05-29

5.  Twelve tips for developing and implementing a medical education Twitter chat.

Authors:  Andrew J Admon; Viren Kaul; Sushma K Cribbs; Elizabeth Guzman; Odalys Jimenez; Jeremy B Richards
Journal:  Med Teach       Date:  2019-04-18       Impact factor: 3.650

6.  Let's Have a Tweetup: The Case for Using Twitter Professionally.

Authors:  Maren Y Fuller; Timothy Craig Allen
Journal:  Arch Pathol Lab Med       Date:  2016-05-19       Impact factor: 5.534

7.  Rates of medication errors among depressed and burnt out residents: prospective cohort study.

Authors:  Amy M Fahrenkopf; Theodore C Sectish; Laura K Barger; Paul J Sharek; Daniel Lewin; Vincent W Chiang; Sarah Edwards; Bernhard L Wiedermann; Christopher P Landrigan
Journal:  BMJ       Date:  2008-02-07

8.  Opportunities and Obstacles for Providing Medical Education Through Social Media.

Authors:  Aimee Wilkinson; James Ashcroft
Journal:  JMIR Med Educ       Date:  2019-11-27

Review 9.  Prevalence of Depression and Depressive Symptoms Among Resident Physicians: A Systematic Review and Meta-analysis.

Authors:  Douglas A Mata; Marco A Ramos; Narinder Bansal; Rida Khan; Constance Guille; Emanuele Di Angelantonio; Srijan Sen
Journal:  JAMA       Date:  2015-12-08       Impact factor: 56.272

10.  A scoping review of the literature on the current mental health status of physicians and physicians-in-training in North America.

Authors:  Mara Mihailescu; Elena Neiterman
Journal:  BMC Public Health       Date:  2019-10-24       Impact factor: 3.295

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  3 in total

1.  Reframing the Conversation Around Physician Burnout and Moral Injury: "We're Not Suffering From a Yoga Deficiency".

Authors:  Sneha Mantri; Karen Jooste; Jennifer Lawson; Brian Quaranta; John Vaughn
Journal:  Perm J       Date:  2021-09-21

2.  Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.

Authors:  José Alberto Benítez-Andrades; Maria-Esther Vidal; Rafael Pastor-Vargas; María Teresa García-Ordás; José-Manuel Alija-Pérez
Journal:  JMIR Med Inform       Date:  2022-02-24

3.  Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study.

Authors:  Keisuke Nakagawa; Nuen Tsang Yang; Machelle Wilson; Peter Yellowlees
Journal:  J Med Internet Res       Date:  2022-09-06       Impact factor: 7.076

  3 in total

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