Literature DB >> 27237352

eHealth literacy among undergraduate nursing students.

Ahmad Tubaishat1, Laila Habiballah2.   

Abstract

BACKGROUND: The Internet has become a major source of health related information. Nursing students, as future healthcare providers, should be skilled in locating, using and evaluating online health information. AIM: The main purpose of this study was to assess eHealth literacy among nursing students in Jordan, as well as to explore factors associated with eHealth literacy.
METHODS: A descriptive cross sectional survey was conducted in two universities in Jordan, one public and one private. A total of 541 students completed the eHealth literacy scale (eHEALS). Some additional personal and demographical variables were collected to explore their relation to eHealth literacy.
RESULTS: Students have a moderate self-perceived level of eHealth literacy (M=3.62, SD=0.58). They are aware of the available online health resources and know how to search, locate, and use these resources. Yet, they lack skills to evaluate them and cannot differentiate between high and low quality resources. Factors that are related to eHealth literacy include type of university, type of student admission, academic level, students' internet skills, and their perception of the usefulness and importance of the internet. On the other hand, age, gender, grade point average (GPA), and frequency of internet use were found not to significantly affect eHealth literacy.
CONCLUSION: This study represents a baseline reference for eHealth literacy in Jordan. Students have some of the necessary skills, while others still need to be improved. Nursing educators and administrators should incorporate eHealth literacy skills into the curriculum.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Jordan; Literacy; Nursing; Students; eHealth

Mesh:

Year:  2016        PMID: 27237352     DOI: 10.1016/j.nedt.2016.04.003

Source DB:  PubMed          Journal:  Nurse Educ Today        ISSN: 0260-6917            Impact factor:   3.442


  30 in total

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2.  Assessing the eHealth literacy skills of family caregivers of medically ill elderly.

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Journal:  Online J Public Health Inform       Date:  2019-09-19

3.  eHealth Literacy of Medical and Health Science Students and Factors Affecting eHealth Literacy in an Ethiopian University: A Cross-Sectional Study.

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4.  Internet use, eHealth literacy and attitudes toward computer/internet among people with schizophrenia spectrum disorders: a cross-sectional study in two distant European regions.

Authors:  Christina Athanasopoulou; Maritta Välimäki; Katerina Koutra; Eliisa Löttyniemi; Antonios Bertsias; Maria Basta; Alexandros N Vgontzas; Christos Lionis
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5.  E-Health literacy of medical and health sciences university students in Mashhad, Iran in 2016: a pilot study.

Authors:  Sareh Dashti; Nooshin Peyman; Mohammad Tajfard; Habibollah Esmaeeli
Journal:  Electron Physician       Date:  2017-03-25

6.  Association of eHealth Literacy With Lifestyle Behaviors in University Students: Questionnaire-Based Cross-Sectional Study.

Authors:  Saki Tsukahara; Satoshi Yamaguchi; Futaba Igarashi; Reiko Uruma; Naomi Ikuina; Kaori Iwakura; Keisuke Koizumi; Yasunori Sato
Journal:  J Med Internet Res       Date:  2020-06-24       Impact factor: 5.428

7.  Factors Influencing eHealth Literacy of Middle School Students in Korea: A Descriptive Cross-Sectional Study.

Authors:  Bu Kyung Park
Journal:  Healthc Inform Res       Date:  2019-07-31

8.  Effect of e-Health Literacy on COVID-19 Infection-Preventive Behaviors of Undergraduate Students Majoring in Healthcare.

Authors:  Kyung Jin Hong; Noo Lee Park; Soo Yeon Heo; Seo Hyun Jung; Ye Been Lee; Ji Hoon Hwang
Journal:  Healthcare (Basel)       Date:  2021-05-12

9.  Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease.

Authors:  Kirubel Biruk Shiferaw
Journal:  Risk Manag Healthc Policy       Date:  2020-05-21

10.  E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey.

Authors:  Kirubel Biruk Shiferaw; Binyam Chakilu Tilahun; Berhanu Fikadie Endehabtu; Monika Knudsen Gullslett; Shegaw Anagaw Mengiste
Journal:  BMC Med Inform Decis Mak       Date:  2020-08-06       Impact factor: 2.796

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