• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新生护理大学生计算机素养量表的编制与验证。

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

机构信息

Department of Information Management, National Taipei University of Nursing and Health Sciences.

出版信息

J Nurs Res. 2011 Dec;19(4):305-17. doi: 10.1097/JNR.0b013e318236d03f.

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

摘要

背景

信息系统和移动技术在医疗保健行业中的应用和使用不断增加,这要求护士在计算机使用方面的能力不断提高。计算机素养被定义为基本的计算机技能,而计算机能力则被定义为完成工作任务所需的计算机技能。人们对计算机素养和计算机能力量表的有效性关注不足。

目的

本研究开发了一个具有良好信度和效度的计算机素养量表,并调查了新入学学生的当前计算机素养水平,以开发适合学生技能水平和需求的计算机课程。

方法

本研究参考了 Hinkin 的方法来开发计算机素养量表。参与者为护理或护理相关背景的一年级本科新生,目前正在参加一门名为“信息素养和互联网应用”的课程。研究人员使用验证性因子分析来检验可靠性和有效性。

结果

开发的计算机素养量表的最终版本包括六个构念(软件、硬件、多媒体、网络、信息伦理和信息安全)和 22 个测量项目。验证性因子分析表明,该量表具有良好的内容效度、信度、收敛效度和区分效度。本研究还发现,参与者在网络领域的得分最高,在硬件领域的得分最低。

结论/对实践的启示:随着信息技术应用的不断增加,应增加与硬件主题相关的课程,以提高护士的问题解决能力。本研究建议减少对文字处理和网络相关主题的重视,增加数据库、统计软件、医院信息系统和信息伦理方面的重视。

相似文献

1
A computer literacy scale for newly enrolled nursing college students: development and validation.新生护理大学生计算机素养量表的编制与验证。
J Nurs Res. 2011 Dec;19(4):305-17. doi: 10.1097/JNR.0b013e318236d03f.
2
Evaluating graduate and undergraduate nursing students' computer skills to determine the need to continue teaching computer literacy.评估护理学研究生和本科生的计算机技能,以确定是否有必要继续教授计算机知识。
Medinfo. 1995;8 Pt 2:1370.
3
Development and validation of the computer technology literacy self-assessment scale for Taiwanese elementary school students.台湾小学生计算机技术素养自我评估量表的编制与验证
Adolescence. 2008 Fall;43(171):623-34.
4
Self-reported eHealth literacy among undergraduate nursing students in South Korea: a pilot study.韩国本科护理专业学生自我报告的电子健康素养:一项试点研究。
Nurse Educ Today. 2015 Feb;35(2):408-13. doi: 10.1016/j.nedt.2014.10.022. Epub 2014 Nov 8.
5
A curricular approach to improve the information literacy and academic writing skills of part-time post-registration nursing students in Hong Kong.一种提高香港兼职注册后护理学生信息素养和学术写作技能的课程方法。
Nurse Educ Today. 2008 May;28(4):458-68. doi: 10.1016/j.nedt.2007.08.001. Epub 2007 Sep 10.
6
eHEALS: The eHealth Literacy Scale.eHEALS:电子健康素养量表。
J Med Internet Res. 2006 Nov 14;8(4):e27. doi: 10.2196/jmir.8.4.e27.
7
Nursing students' behavioral intention to use online courses: a questionnaire survey.护理专业学生使用在线课程的行为意向:一项问卷调查
Int J Nurs Stud. 2008 Sep;45(9):1299-309. doi: 10.1016/j.ijnurstu.2007.09.011. Epub 2007 Nov 5.
8
[Developing Japanese version of the eHealth Literacy Scale (eHEALS)].[开发日本版的电子健康素养量表(eHEALS)]
Nihon Koshu Eisei Zasshi. 2011 May;58(5):361-71.
9
Baccalaureate nursing students' information technology competence--agency perspectives.护理学学士学生的信息技术能力——机构视角
J Prof Nurs. 2009 Jan-Feb;25(1):42-9. doi: 10.1016/j.profnurs.2007.12.005.
10
Competence in nursing informatics among nursing students and staff at a nursing institute in Sweden.瑞典一所护理学院的护理专业学生和工作人员的护理信息学能力。
Health Info Libr J. 2006 Jun;23(2):126-32. doi: 10.1111/j.1471-1842.2006.00643.x.

引用本文的文献

1
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias.自然语言处理驱动工具在阿尔茨海默病及相关痴呆症临床试验资格预筛选中的社会技术可行性。
J Am Med Inform Assoc. 2024 Apr 19;31(5):1062-1073. doi: 10.1093/jamia/ocae032.
2
Awareness and level of digital literacy among students receiving health-based education.接受健康教育的学生的数字素养意识和水平。
BMC Med Educ. 2024 Jan 8;24(1):38. doi: 10.1186/s12909-024-05025-w.
3
A digital literacy model to narrow the digital literacy skills gap.
一种缩小数字素养技能差距的数字素养模型。
Heliyon. 2023 Mar 28;9(4):e14878. doi: 10.1016/j.heliyon.2023.e14878. eCollection 2023 Apr.
4
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.临床研究人员对用于资格预筛选的自然语言处理驱动工具的看法:一项迭代可用性评估。
Int J Med Inform. 2023 Mar;171:104985. doi: 10.1016/j.ijmedinf.2023.104985. Epub 2023 Jan 6.
5
How Clinicians Perceive Artificial Intelligence-Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach.临床医生如何看待人工智能辅助技术在诊断决策中的应用:混合方法研究。
J Med Internet Res. 2021 Dec 16;23(12):e33540. doi: 10.2196/33540.
6
Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship.患者和医生对电子健康记录对医患关系影响的看法。
Appl Clin Inform. 2019 Aug;10(4):729-734. doi: 10.1055/s-0039-1696667. Epub 2019 Sep 25.
7
Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis.面向患者的电子健康评估指标的心理测量特性:系统评价与分析
J Med Internet Res. 2017 Oct 11;19(10):e346. doi: 10.2196/jmir.7638.
8
The Association Between Online Health Information-Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study.纽约市西班牙裔人群在线健康信息搜索行为与健康行为之间的关联:一项基于社区的横断面研究。
J Med Internet Res. 2015 Nov 26;17(11):e261. doi: 10.2196/jmir.4368.
9
Computer literacy among students of Zahedan University of Medical Sciences.设拉子医科大学学生的计算机素养
Glob J Health Sci. 2015 Jan 1;7(4):136-42. doi: 10.5539/gjhs.v7n4p136.
10
Online health information seeking behaviors of Hispanics in New York City: a community-based cross-sectional study.纽约市西班牙裔的在线健康信息寻求行为:一项基于社区的横断面研究。
J Med Internet Res. 2014 Jul 22;16(7):e176. doi: 10.2196/jmir.3499.