Literature DB >> 33827143

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

Nebyu Demeke Mengestie1, Tesfahun Melese Yilma1, Miftah Abdella Beshir1, Genet Kiflemariam Paulos2.   

Abstract

BACKGROUND: eHealth literacy is individual's ability to look for, understand, and evaluate health information from electronic sources. Integrating eHealth literacy to the health system could help lower health care costs and ensure health equity. Despite its importance, the eHealth literacy level in Ethiopia has not been studied on medical and health science students, who are important parties in the health system. Understanding their level of eHealth literacy augments practice of health care, efficiency in education, and use of eHealth technologies.
OBJECTIVE: This research study aims to determine eHealth literacy level and identify its associated factors among medical and health science students in University of Gondar (UoG).
METHODS: An institution-based cross-sectional study was conducted from March to May 2019 among undergraduate medical and health science students in the UoG. Stratified multistage sampling was used. The eHealth literacy scale was used to measure eHealth literacy. A binary logistic regression model was fitted to measure association between eHealth literacy and the independent variables.
RESULTS: A total of 801 students participated in this study with a 94.6% of response rate. The majority (60%) were male and previously lived-in urban areas (68%). The mean eHealth literacy score was 28.7 and 60% of the participants possessed high eHealth literacy. Using health-specific Web sites (adjusted odds ratio [AOR] = 2.84, 95% confidence interval [CI]: 1.86-4.33), having higher Internet efficacy (AOR = 2.26, 95% CI: 1.56-3.26), perceived usefulness of the Internet (AOR = 3.33, 95% CI: 1.95-5.69), medical app use (AOR = 1.70, 95% CI: 1.13-2.55), being female (AOR = 1.55, 95% CI: 1.08-2.22), and being health informatics student (AOR = 2.02, 95% CI: 1.149-3.148) affect a high eHealth literacy level.
CONCLUSION: The level of eHealth literacy in this study was moderate. Using specific reputable health Web sites, using smartphone medical applications, and Internet efficacy determine eHealth literacy significantly. Thieme. All rights reserved.

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Year:  2021        PMID: 33827143      PMCID: PMC8026260          DOI: 10.1055/s-0041-1727154

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  46 in total

1.  Starting at the beginning: an introduction to coefficient alpha and internal consistency.

Authors:  David L Streiner
Journal:  J Pers Assess       Date:  2003-02

2.  Internet use and misuse: a multivariate regression analysis of the predictive factors of internet use among Greek adolescents.

Authors:  Artemis Tsitsika; Elena Critselis; Georgios Kormas; Anastasia Filippopoulou; Despoina Tounissidou; Aliki Freskou; Theodora Spiliopoulou; Amalia Louizou; Eleftheria Konstantoulaki; Dimitrios Kafetzis
Journal:  Eur J Pediatr       Date:  2008-09-02       Impact factor: 3.183

3.  Self-reported eHealth literacy skills among nursing students in Sri Lanka: A cross-sectional study.

Authors:  Sarath Rathnayake; Asela Senevirathna
Journal:  Nurse Educ Today       Date:  2019-04-29       Impact factor: 3.442

4.  Google Trends: Opportunities and limitations in health and health policy research.

Authors:  Vishal S Arora; Martin McKee; David Stuckler
Journal:  Health Policy       Date:  2019-01-11       Impact factor: 2.980

5.  Mobile devices in medicine: a survey of how medical students, residents, and faculty use smartphones and other mobile devices to find information.

Authors:  Jill T Boruff; Dale Storie
Journal:  J Med Libr Assoc       Date:  2014-01

6.  Mobile devices and apps for health care professionals: uses and benefits.

Authors:  C Lee Ventola
Journal:  P T       Date:  2014-05

7.  Making technology-enabled health care work in general practice.

Authors:  Ruth Chambers; Marc Schmid
Journal:  Br J Gen Pract       Date:  2018-03       Impact factor: 5.386

8.  Self-Reported eHealth Literacy Among Undergraduate Nursing Students in Selected Districts of Sri Lanka.

Authors:  Shaluni Tissera; Nishan Silva
Journal:  Stud Health Technol Inform       Date:  2017

9.  Integration of Mobile Health Applications in Health Information Technology Initiatives: Expanding Opportunities for Nurse Participation in Population Health.

Authors:  Yeow Chye Ng; Susan Alexander; Karen H Frith
Journal:  Comput Inform Nurs       Date:  2018-05       Impact factor: 1.985

10.  The Most Common Smartphone Applications Used By Medical Students and Barriers of Using Them.

Authors:  Mohamad Jebraeily; Zahra Zare Fazlollahi; Bahlol Rahimi
Journal:  Acta Inform Med       Date:  2017-12
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  2 in total

1.  General health literacy scale for Thais and comparison between age groups.

Authors:  Ungsinun Intarakamhang; Julaporn Khammungkul; Piya Boocha
Journal:  Heliyon       Date:  2022-05-18

2.  Digital health literacy to share COVID-19 related information and associated factors among healthcare providers worked at COVID-19 treatment centers in Amhara region, Ethiopia: A cross-sectional survey.

Authors:  Alex Ayenew Chereka; Addisalem Workie Demsash; Habtamu Setegn Ngusie; Sisay Yitayih Kassie
Journal:  Inform Med Unlocked       Date:  2022-04-14
  2 in total

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