Literature DB >> 22089656

A computer literacy scale for newly enrolled nursing college students: development and validation.

Tung-Cheng Lin1.   

Abstract

BACKGROUND: Increasing application and use of information systems and mobile technologies in the healthcare industry require increasing nurse competency in computer use. Computer literacy is defined as basic computer skills, whereas computer competency is defined as the computer skills necessary to accomplish job tasks. Inadequate attention has been paid to computer literacy and computer competency scale validity.
PURPOSE: This study developed a computer literacy scale with good reliability and validity and investigated the current computer literacy of newly enrolled students to develop computer courses appropriate to students' skill levels and needs.
METHODS: This study referenced Hinkin's process to develop a computer literacy scale. Participants were newly enrolled first-year undergraduate students, with nursing or nursing-related backgrounds, currently attending a course entitled Information Literacy and Internet Applications. Researchers examined reliability and validity using confirmatory factor analysis.
RESULTS: The final version of the developed computer literacy scale included six constructs (software, hardware, multimedia, networks, information ethics, and information security) and 22 measurement items. Confirmatory factor analysis showed that the scale possessed good content validity, reliability, convergent validity, and discriminant validity. This study also found that participants earned the highest scores for the network domain and the lowest score for the hardware domain. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: With increasing use of information technology applications, courses related to hardware topic should be increased to improve nurse problem-solving abilities. This study recommends that emphases on word processing and network-related topics may be reduced in favor of an increased emphasis on database, statistical software, hospital information systems, and information ethics.

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Year:  2011        PMID: 22089656     DOI: 10.1097/JNR.0b013e318236d03f

Source DB:  PubMed          Journal:  J Nurs Res        ISSN: 1682-3141            Impact factor:   1.682


  6 in total

1.  Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship.

Authors:  Margaret Eberts; Daniel Capurro
Journal:  Appl Clin Inform       Date:  2019-09-25       Impact factor: 2.342

2.  Computer literacy among students of Zahedan University of Medical Sciences.

Authors:  Hassan Robabi; Azizollah Arbabisarjou
Journal:  Glob J Health Sci       Date:  2015-01-01

3.  How Clinicians Perceive Artificial Intelligence-Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach.

Authors:  Deana Shevit Goldin; Hyeyoung Hah
Journal:  J Med Internet Res       Date:  2021-12-16       Impact factor: 5.428

4.  Online health information seeking behaviors of Hispanics in New York City: a community-based cross-sectional study.

Authors:  Young Ji Lee; Bernadette Boden-Albala; Elaine Larson; Adam Wilcox; Suzanne Bakken
Journal:  J Med Internet Res       Date:  2014-07-22       Impact factor: 5.428

Review 5.  Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis.

Authors:  Bonnie J Wakefield; Carolyn L Turvey; Kim M Nazi; John E Holman; Timothy P Hogan; Stephanie L Shimada; Diana R Kennedy
Journal:  J Med Internet Res       Date:  2017-10-11       Impact factor: 5.428

6.  The Association Between Online Health Information-Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study.

Authors:  Young Ji Lee; Bernadette Boden-Albala; Haomiao Jia; Adam Wilcox; Suzanne Bakken
Journal:  J Med Internet Res       Date:  2015-11-26       Impact factor: 5.428

  6 in total

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