Nurses' perception of their readiness using technology information to face Omicron according to the technology acceptance model

Author:

Tukayo Isak Jurun Hans,Sirait Paul,Hardy Syaifoel

Abstract

Background: The emergence of a new variant of Omicron in 132 countries at the beginning of 2022 leaves concerns for nurses. The experience of nurses handling the COVID-19 pandemic makes a question mark on how prepared the profession is to deal with the spreading of the virus. This article attempts to analyze the perceptions of nurses' readiness to use information technology (IT) when facing the new Omicron variant. Methods: The study used a quantitative approach with a descriptive cross-sectional design supported by the Technology Acceptance Model. This study used a questionnaire to assess respondents' perceptions. A total of 180 eligible respondents were involved in the study. Technology Acceptance Model (TAM) was used to measure the respondents' perception, and SPSS version 26 was used for analytical data. Results: The results showed that 96% of nurses were vaccinated, 45% never attended COVID-19 training (External Variables), 45.6% ready with information technology facilities (Perceived Ease to Use), 47.2% were mentally/psychologically prepared, 47.2% supported by family, and 37.8% they had public support (Perceived Usefulness). Those 3 components shaped different perceptions (Attitudes) towards using the IT in which 44.4% were ready, 27.2% were in the process, 25.3% were not prepared and 3.1% had no idea (3.1%). As a result (Behavior), out of 180 population, 63.6% of participants were categorized as not ready. Conclusion: The findings recommend that nurses using IT in dealing with Omicron 100% must be vaccinated and participate in COVID-19 training.

Publisher

DiscoverSys, Inc.

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3