Literature DB >> 30321747

Uncovering cyberincivility among nurses and nursing students on Twitter: A data mining study.

Jennie C De Gagne1, Katherine Hall2, Jamie L Conklin3, Sandra S Yamane4, Noelle Wyman Roth5, Jianhong Chang6, Sang Suk Kim7.   

Abstract

BACKGROUND: Although misuse of social networking sites, particularly Twitter, has occurred, little is known about the prevalence, content, and characteristics of uncivil tweets posted by nurses and nursing students.
OBJECTIVE: The aim of this study was to describe the characteristics of tweets posted by nurses and nursing students on Twitter with a focus on cyberincivility.
METHOD: A cross-sectional, data-mining study was held from February through April 2017. Using a data-mining tool, we extracted quantitative and qualitative data from a sample of 163 self-identified nurses and nursing students on Twitter. The analysis of 8934 tweets was performed by a combination of SAS 9.4 for descriptive and inferential statistics including logistic regression and NVivo 11 to derive descriptive patterns of unstructured textual data.
FINDINGS: We categorized 413 tweets (4.62%, n = 8934) as uncivil. Of these, 240 (58%) were related to nursing and the other 173 (42%) to personal life. Of the 163 unique users, 60 (36.8%) generated those 413 uncivil posts, tweeting inappropriately at least once over a period of six weeks. Most uncivil tweets contained profanity (n = 135, 32.7%), sexually explicit or suggestive material (n = 37, 9.0%), name-calling (n = 14, 3.4%), and discriminatory remarks against minorities (n = 9, 2.2%). Other uncivil content included product promotion, demeaning comments toward patients, aggression toward health professionals, and HIPAA violations.
CONCLUSION: Nurses and nursing students share uncivil tweets that could tarnish the image of the profession and violate codes of ethics. Individual, interpersonal, and institutional efforts should be made to foster a culture of cybercivility.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Civility; Cyberincivility; Education; Incivility; Nurses; Nursing; Nursing students; Social media; Social networking sites; Twitter

Mesh:

Year:  2018        PMID: 30321747     DOI: 10.1016/j.ijnurstu.2018.09.009

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  6 in total

1.  The educational use of social networking sites among medical and health sciences students: a cross campus interventional study.

Authors:  Nihar Ranjan Dash; Ahmed Alrazzak Hasswan; Jacqueline Maria Dias; Natasya Abdullah; Mohamed Ahmed Eladl; Khaled Khalaf; Ajmal Farooq; Salman Yousuf Guraya
Journal:  BMC Med Educ       Date:  2022-07-03       Impact factor: 3.263

2.  Analysis of Cyberincivility in Posts by Health Professions Students: Descriptive Twitter Data Mining Study.

Authors:  Jennie C De Gagne; Eunji Cho; Sandra S Yamane; Haesu Jin; Jeehae D Nam; Dukyoo Jung
Journal:  JMIR Med Educ       Date:  2021-05-13

3.  Nursing Students' Perceptions of Smartphone Use in the Clinical Care and Safety of Hospitalised Patients.

Authors:  Vanesa Gutiérrez-Puertas; Lorena Gutiérrez-Puertas; Gabriel Aguilera-Manrique; Mᵃ Carmen Rodríguez-García; Verónica V Márquez-Hernández
Journal:  Int J Environ Res Public Health       Date:  2021-02-01       Impact factor: 3.390

4.  Cyberincivility Experience of Korean Clinical Nurses in the Workplace: A Qualitative Content Analysis.

Authors:  Sang Suk Kim; Ho Jeong Song; Jung Jae Lee
Journal:  Int J Environ Res Public Health       Date:  2020-12-04       Impact factor: 3.390

5.  Preserving professional identities, behaviors, and values in digital professionalism using social networking sites; a systematic review.

Authors:  Shaista Salman Guraya; Salman Yousuf Guraya; Muhamad Saiful Bahri Yusoff
Journal:  BMC Med Educ       Date:  2021-07-12       Impact factor: 2.463

6.  Exploration of Cybercivility in Nursing Education Using Cross-Country Comparisons.

Authors:  Sang Suk Kim; Jung Jae Lee; Jennie C De Gagne
Journal:  Int J Environ Res Public Health       Date:  2020-10-02       Impact factor: 3.390

  6 in total

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