临床护士信息学胜任力的人群特征及影响因素:一项潜在特征分析。

IF 2 4区 医学 Q2 NURSING
Western Journal of Nursing Research Pub Date : 2025-07-01 Epub Date: 2025-04-24 DOI:10.1177/01939459251333686
Xingru Chen, Lili Zhu, Shuping Gong, Yuxiao He, Huijuan Chen, Xiaomin Zhao
{"title":"临床护士信息学胜任力的人群特征及影响因素:一项潜在特征分析。","authors":"Xingru Chen, Lili Zhu, Shuping Gong, Yuxiao He, Huijuan Chen, Xiaomin Zhao","doi":"10.1177/01939459251333686","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Nursing informatics competency is crucial for reducing information system usage time and nursing errors, as well as ensuring patient safety and service quality. However, current research often overlooks individual differences, focusing on overall competency levels and associations between nursing informatics competency and different factors for the overall sample.</p><p><strong>Objective: </strong>This study aimed to identify distinct latent profiles of clinical nurses' informatics competency and analyze population characteristics and influencing factors of different profiles to provide the theoretical basis for improving nursing informatics competency.</p><p><strong>Methods: </strong>This study used a general demographic questionnaire and the Nursing Informatics Competency Scale to investigate 733 nurses from different-level hospitals in a Chinese city. The nursing informatics competency profiles were explored by latent profile analysis, and the population characteristics and influencing factors of profiles were explored by univariate and binary logistic regression analyses.</p><p><strong>Results: </strong>Nurses were classified into 2 latent profiles: the \"high informatics competency profile\" (58.7%) and \"low informatics competency profile\" (41.3%). Low informatics competency nurses were predominantly technical secondary school nurses, working at primary hospitals, in contract employment, and with a monthly income of ≤¥3000 (approximately US$412). Salary satisfaction, career satisfaction, department, and education level significantly influenced the latent profiles of nursing informatics competency (<i>P</i> < .05).</p><p><strong>Conclusions: </strong>This study highlights 2 distinct latent profiles in nursing informatics competency. Nurses with higher salary and career satisfaction, education levels, and department informatization were more likely to exhibit higher informatics competency. These findings provide a foundation for targeted interventions to improve clinical nurses' informatics competency.</p>","PeriodicalId":49365,"journal":{"name":"Western Journal of Nursing Research","volume":" ","pages":"641-650"},"PeriodicalIF":2.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population Characteristics and Influencing Factors of Clinical Nurses' Informatics Competency: A Latent Profile Analysis.\",\"authors\":\"Xingru Chen, Lili Zhu, Shuping Gong, Yuxiao He, Huijuan Chen, Xiaomin Zhao\",\"doi\":\"10.1177/01939459251333686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Nursing informatics competency is crucial for reducing information system usage time and nursing errors, as well as ensuring patient safety and service quality. However, current research often overlooks individual differences, focusing on overall competency levels and associations between nursing informatics competency and different factors for the overall sample.</p><p><strong>Objective: </strong>This study aimed to identify distinct latent profiles of clinical nurses' informatics competency and analyze population characteristics and influencing factors of different profiles to provide the theoretical basis for improving nursing informatics competency.</p><p><strong>Methods: </strong>This study used a general demographic questionnaire and the Nursing Informatics Competency Scale to investigate 733 nurses from different-level hospitals in a Chinese city. The nursing informatics competency profiles were explored by latent profile analysis, and the population characteristics and influencing factors of profiles were explored by univariate and binary logistic regression analyses.</p><p><strong>Results: </strong>Nurses were classified into 2 latent profiles: the \\\"high informatics competency profile\\\" (58.7%) and \\\"low informatics competency profile\\\" (41.3%). Low informatics competency nurses were predominantly technical secondary school nurses, working at primary hospitals, in contract employment, and with a monthly income of ≤¥3000 (approximately US$412). Salary satisfaction, career satisfaction, department, and education level significantly influenced the latent profiles of nursing informatics competency (<i>P</i> < .05).</p><p><strong>Conclusions: </strong>This study highlights 2 distinct latent profiles in nursing informatics competency. Nurses with higher salary and career satisfaction, education levels, and department informatization were more likely to exhibit higher informatics competency. These findings provide a foundation for targeted interventions to improve clinical nurses' informatics competency.</p>\",\"PeriodicalId\":49365,\"journal\":{\"name\":\"Western Journal of Nursing Research\",\"volume\":\" \",\"pages\":\"641-650\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Western Journal of Nursing Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/01939459251333686\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Western Journal of Nursing Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/01939459251333686","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

摘要

背景:护理信息学能力对于减少信息系统使用时间和护理差错,确保患者安全和服务质量至关重要。然而,目前的研究往往忽视了个体差异,关注整体能力水平和护理信息学能力与整体样本不同因素之间的关系。目的:本研究旨在识别临床护士信息学胜任力的不同潜在特征,分析不同特征的人群特征及影响因素,为提高护理信息学胜任力提供理论依据。方法:采用普通人口学问卷和护理信息学能力量表对某城市不同级别医院的733名护士进行调查。采用潜在特征分析探讨护理信息学胜任特征,采用单因素logistic回归和二元logistic回归分析探讨护理信息学胜任特征的总体特征及其影响因素。结果:护士被分为“高信息学能力特征”(58.7%)和“低信息学能力特征”(41.3%)两种潜在特征。低信息学能力护士主要是中专护士,在基层医院工作,合同雇佣,月收入≤3000日元(约412美元)。薪酬满意度、职业满意度、科室和学历显著影响护理信息学胜任力的潜在特征(P)。结论:本研究突出了护理信息学胜任力的两种不同的潜在特征。薪酬、职业满意度、受教育程度、科室信息化程度越高的护士,其信息学能力越高。这些发现为有针对性的干预提高临床护士信息学能力提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population Characteristics and Influencing Factors of Clinical Nurses' Informatics Competency: A Latent Profile Analysis.

Background: Nursing informatics competency is crucial for reducing information system usage time and nursing errors, as well as ensuring patient safety and service quality. However, current research often overlooks individual differences, focusing on overall competency levels and associations between nursing informatics competency and different factors for the overall sample.

Objective: This study aimed to identify distinct latent profiles of clinical nurses' informatics competency and analyze population characteristics and influencing factors of different profiles to provide the theoretical basis for improving nursing informatics competency.

Methods: This study used a general demographic questionnaire and the Nursing Informatics Competency Scale to investigate 733 nurses from different-level hospitals in a Chinese city. The nursing informatics competency profiles were explored by latent profile analysis, and the population characteristics and influencing factors of profiles were explored by univariate and binary logistic regression analyses.

Results: Nurses were classified into 2 latent profiles: the "high informatics competency profile" (58.7%) and "low informatics competency profile" (41.3%). Low informatics competency nurses were predominantly technical secondary school nurses, working at primary hospitals, in contract employment, and with a monthly income of ≤¥3000 (approximately US$412). Salary satisfaction, career satisfaction, department, and education level significantly influenced the latent profiles of nursing informatics competency (P < .05).

Conclusions: This study highlights 2 distinct latent profiles in nursing informatics competency. Nurses with higher salary and career satisfaction, education levels, and department informatization were more likely to exhibit higher informatics competency. These findings provide a foundation for targeted interventions to improve clinical nurses' informatics competency.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
48
审稿时长
>12 weeks
期刊介绍: Western Journal of Nursing Research (WJNR) is a widely read and respected peer-reviewed journal published twelve times a year providing an innovative forum for nurse researchers, students, and clinical practitioners to participate in ongoing scholarly dialogue. WJNR publishes research reports, systematic reviews, methodology papers, and invited special papers. This journal is a member of the Committee on Publication Ethics (COPE).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信